LoginAll Dashboards

Wednesday, August 12 2026 15:18:27

CIP

• Dashboard
• Back
• Calendar2018-08-17
• Previous
• Current
• Next
• Project
  • Home
  • Documentation
  • Repository
  • Bug Tracker
  • Subscribe

20.57s

/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/h5py/__init__.py:36: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from ._conv import register_converters as _register_converters
/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/h5py/__init__.py:45: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z
/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/h5py/_hl/group.py:22: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88
  from .. import h5g, h5i, h5o, h5r, h5t, h5l, h5p
Using TensorFlow backend.
Level 1:tensorflow:Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x7f6f81e9e500>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x7f6f81dd2b90>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x7f6f81dd2c08>) in gradient.
Level 1:tensorflow:Registering MatMul,flops (<function _calc_mat_mul_flops at 0x7f6f81c0bc80>) in statistical functions.
Level 1:tensorflow:Registering cond_context ((<class 'tensorflow.core.protobuf.control_flow_pb2.CondContextDef'>, <unbound method CondContext.to_proto>, <function from_proto at 0x7f6f81b9da28>)) in proto functions.
Level 1:tensorflow:Registering while_context ((<class 'tensorflow.core.protobuf.control_flow_pb2.WhileContextDef'>, <unbound method WhileContext.to_proto>, <function from_proto at 0x7f6f81b9e398>)) in proto functions.
Level 1:tensorflow:Registering ReadVariableOp (<function _ReadGrad at 0x7f6f81b41c08>) in gradient.
Level 1:tensorflow:Registering ResourceGather (<function _GatherGrad at 0x7f6f81b69230>) in gradient.
Level 1:tensorflow:Registering variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7f6f81b69320>, <function _from_proto_fn at 0x7f6f81b692a8>)) in proto functions.
Level 1:tensorflow:Registering trainable_variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7f6f81b69320>, <function _from_proto_fn at 0x7f6f81b692a8>)) in proto functions.
Level 1:tensorflow:Registering moving_average_variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7f6f81b69320>, <function _from_proto_fn at 0x7f6f81b692a8>)) in proto functions.
Level 1:tensorflow:Registering RandomStandardNormal (None) in gradient.
Level 1:tensorflow:Registering ParameterizedTruncatedNormal (None) in gradient.
Level 1:tensorflow:Registering TruncatedNormal (None) in gradient.
Level 1:tensorflow:Registering RandomUniform (None) in gradient.
Level 1:tensorflow:Registering Multinomial (None) in gradient.
Level 1:tensorflow:Registering RandomGamma (None) in gradient.
Level 1:tensorflow:Registering Pack (<function _PackGrad at 0x7f6f81aa52a8>) in gradient.
Level 1:tensorflow:Registering Unpack (<function _UnpackGrad at 0x7f6f81a2e410>) in gradient.
Level 1:tensorflow:Registering Concat (<function _ConcatGrad at 0x7f6f81a2e500>) in gradient.
Level 1:tensorflow:Registering ConcatV2 (<function _ConcatGradV2 at 0x7f6f81a2e578>) in gradient.
Level 1:tensorflow:Registering ConcatOffset (None) in gradient.
Level 1:tensorflow:Registering Slice (<function _SliceGrad at 0x7f6f81a2e668>) in gradient.
Level 1:tensorflow:Registering StridedSlice (<function _StridedSliceGrad at 0x7f6f81a2e5f0>) in gradient.
Level 1:tensorflow:Registering StridedSliceGrad (<function _StridedSliceGradGrad at 0x7f6f81a2e6e0>) in gradient.
Level 1:tensorflow:Registering Split (<function _SplitGrad at 0x7f6f81a2e758>) in gradient.
Level 1:tensorflow:Registering SplitV (<function _SplitVGrad at 0x7f6f81a2e7d0>) in gradient.
Level 1:tensorflow:Registering Const (None) in gradient.
Level 1:tensorflow:Registering Diag (<function _DiagGrad at 0x7f6f81a2e848>) in gradient.
Level 1:tensorflow:Registering DiagPart (<function _DiagPartGrad at 0x7f6f81a2e8c0>) in gradient.
Level 1:tensorflow:Registering MatrixDiag (<function _MatrixDiagGrad at 0x7f6f81a2e9b0>) in gradient.
Level 1:tensorflow:Registering MatrixDiagPart (<function _MatrixDiagPartGrad at 0x7f6f81a2ea28>) in gradient.
Level 1:tensorflow:Registering MatrixSetDiag (<function _MatrixSetDiagGrad at 0x7f6f81a2e938>) in gradient.
Level 1:tensorflow:Registering MatrixBandPart (<function _MatrixBandPartGrad at 0x7f6f81a2eaa0>) in gradient.
Level 1:tensorflow:Registering EditDistance (None) in gradient.
Level 1:tensorflow:Registering Fill (<function _FillGrad at 0x7f6f81a2eb18>) in gradient.
Level 1:tensorflow:Registering ZerosLike (None) in gradient.
Level 1:tensorflow:Registering OnesLike (None) in gradient.
Level 1:tensorflow:Registering PreventGradient (<function _PreventGradientGrad at 0x7f6f81a2eb90>) in gradient.
Level 1:tensorflow:Registering Gather (<function _GatherGrad at 0x7f6f81a2ec08>) in gradient.
Level 1:tensorflow:Registering GatherNd (<function _GatherNdGrad at 0x7f6f81a2ec80>) in gradient.
Level 1:tensorflow:Registering CheckNumerics (<function _CheckNumericsGrad at 0x7f6f81a2ed70>) in gradient.
Level 1:tensorflow:Registering Identity (<function _IdGrad at 0x7f6f81a2ecf8>) in gradient.
Level 1:tensorflow:Registering PlaceholderWithDefault (<function _IdGrad at 0x7f6f81a2ecf8>) in gradient.
Level 1:tensorflow:Registering RefIdentity (<function _RefIdGrad at 0x7f6f81a2ede8>) in gradient.
Level 1:tensorflow:Registering StopGradient (None) in gradient.
Level 1:tensorflow:Registering Reshape (<function _ReshapeGrad at 0x7f6f81a2eed8>) in gradient.
Level 1:tensorflow:Registering InvertPermutation (None) in gradient.
Level 1:tensorflow:Registering ExpandDims (<function _ExpandDimsGrad at 0x7f6f81a2ee60>) in gradient.
Level 1:tensorflow:Registering Squeeze (<function _SqueezeGrad at 0x7f6f81a3c0c8>) in gradient.
Level 1:tensorflow:Registering Transpose (<function _TransposeGrad at 0x7f6f81a3c140>) in gradient.
Level 1:tensorflow:Registering Shape (None) in gradient.
Level 1:tensorflow:Registering ShapeN (None) in gradient.
Level 1:tensorflow:Registering Rank (None) in gradient.
Level 1:tensorflow:Registering Size (None) in gradient.
Level 1:tensorflow:Registering Tile (<function _TileGrad at 0x7f6f81a3c1b8>) in gradient.
Level 1:tensorflow:Registering BroadcastGradientArgs (None) in gradient.
Level 1:tensorflow:Registering Pad (<function _PadGrad at 0x7f6f81a3c050>) in gradient.
Level 1:tensorflow:Registering ReverseSequence (<function _ReverseSequenceGrad at 0x7f6f81a3c230>) in gradient.
Level 1:tensorflow:Registering Reverse (<function _ReverseGrad at 0x7f6f81a3c2a8>) in gradient.
Level 1:tensorflow:Registering ReverseV2 (<function _ReverseV2Grad at 0x7f6f81a3c398>) in gradient.
Level 1:tensorflow:Registering SpaceToBatch (<function _SpaceToBatchGrad at 0x7f6f81a3c410>) in gradient.
Level 1:tensorflow:Registering SpaceToBatchND (<function _SpaceToBatchNDGrad at 0x7f6f81a3c320>) in gradient.
Level 1:tensorflow:Registering BatchToSpace (<function _BatchToSpaceGrad at 0x7f6f81a3c488>) in gradient.
Level 1:tensorflow:Registering BatchToSpaceND (<function _BatchToSpaceNDGrad at 0x7f6f81a3c500>) in gradient.
Level 1:tensorflow:Registering SpaceToDepth (<function _SpaceToDepthGrad at 0x7f6f81a3c578>) in gradient.
Level 1:tensorflow:Registering DepthToSpace (<function _DepthToSpaceGrad at 0x7f6f81a3c5f0>) in gradient.
Level 1:tensorflow:Registering OneHot (None) in gradient.
Level 1:tensorflow:Registering MirrorPad (<function _MirrorPadGrad at 0x7f6f81a3c668>) in gradient.
Level 1:tensorflow:Registering MirrorPadGrad (<function _MirrorPadGradGrad at 0x7f6f81a3c758>) in gradient.
Level 1:tensorflow:Registering QuantizeAndDequantize (<function _QuantizeAndDequantizeGrad at 0x7f6f81a3c6e0>) in gradient.
Level 1:tensorflow:Registering QuantizeAndDequantizeV2 (<function _QuantizeAndDequantizeV2Grad at 0x7f6f81a3c7d0>) in gradient.
Level 1:tensorflow:Registering ExtractImagePatches (<function _ExtractImagePatchesGrad at 0x7f6f81a3c848>) in gradient.
Level 1:tensorflow:Registering ScatterNd (<function _ScatterNdGrad at 0x7f6f81a3c8c0>) in gradient.
Level 1:tensorflow:Registering DynamicPartition (<function _DynamicPartitionGrads at 0x7f6f81a51140>) in gradient.
Level 1:tensorflow:Registering DynamicStitch (<function _DynamicStitchGrads at 0x7f6f81a53cf8>) in gradient.
Level 1:tensorflow:Registering Queue (None) in gradient.
Level 1:tensorflow:Registering QueueEnqueue (None) in gradient.
Level 1:tensorflow:Registering QueueEnqueueMany (None) in gradient.
Level 1:tensorflow:Registering QueueDequeue (None) in gradient.
Level 1:tensorflow:Registering QueueDequeueMany (None) in gradient.
Level 1:tensorflow:Registering QueueDequeueUpTo (None) in gradient.
Level 1:tensorflow:Registering QueueClose (None) in gradient.
Level 1:tensorflow:Registering QueueSize (None) in gradient.
Level 1:tensorflow:Registering Stack (None) in gradient.
Level 1:tensorflow:Registering StackPush (None) in gradient.
Level 1:tensorflow:Registering StackPop (None) in gradient.
Level 1:tensorflow:Registering StackClose (None) in gradient.
Level 1:tensorflow:Registering GetSessionHandle (None) in gradient.
Level 1:tensorflow:Registering GetSessionHandleV2 (None) in gradient.
Level 1:tensorflow:Registering GetSessionTensor (None) in gradient.
Level 1:tensorflow:Registering DeleteSessionTensor (None) in gradient.
Level 1:tensorflow:Registering Sum (<function _SumGrad at 0x7f6f81a5dc08>) in gradient.
Level 1:tensorflow:Registering Max (<function _MaxGrad at 0x7f6f819f7230>) in gradient.
Level 1:tensorflow:Registering Min (<function _MinGrad at 0x7f6f819f72a8>) in gradient.
Level 1:tensorflow:Registering Mean (<function _MeanGrad at 0x7f6f819f7320>) in gradient.
Level 1:tensorflow:Registering Prod (<function _ProdGrad at 0x7f6f819f7398>) in gradient.
Level 1:tensorflow:Registering SegmentSum (<function _SegmentSumGrad at 0x7f6f819f7410>) in gradient.
Level 1:tensorflow:Registering SegmentMean (<function _SegmentMeanGrad at 0x7f6f819f7500>) in gradient.
Level 1:tensorflow:Registering SparseSegmentSum (<function _SparseSegmentSumGrad at 0x7f6f819f7488>) in gradient.
Level 1:tensorflow:Registering SparseSegmentMean (<function _SparseSegmentMeanGrad at 0x7f6f819f7578>) in gradient.
Level 1:tensorflow:Registering SparseSegmentSqrtN (<function _SparseSegmentSqrtNGrad at 0x7f6f819f75f0>) in gradient.
Level 1:tensorflow:Registering SegmentMin (<function _SegmentMinGrad at 0x7f6f819f76e0>) in gradient.
Level 1:tensorflow:Registering SegmentMax (<function _SegmentMaxGrad at 0x7f6f819f77d0>) in gradient.
Level 1:tensorflow:Registering UnsortedSegmentSum (<function _UnsortedSegmentSumGrad at 0x7f6f819f7848>) in gradient.
Level 1:tensorflow:Registering UnsortedSegmentMax (<function _UnsortedSegmentMaxGrad at 0x7f6f819f7758>) in gradient.
Level 1:tensorflow:Registering Abs (<function _AbsGrad at 0x7f6f819f78c0>) in gradient.
Level 1:tensorflow:Registering Neg (<function _NegGrad at 0x7f6f819f7938>) in gradient.
Level 1:tensorflow:Registering Inv (<function _InvGrad at 0x7f6f819f79b0>) in gradient.
Level 1:tensorflow:Registering Reciprocal (<function _ReciprocalGrad at 0x7f6f819f7a28>) in gradient.
Level 1:tensorflow:Registering InvGrad (<function _InvGradGrad at 0x7f6f819f7b18>) in gradient.
Level 1:tensorflow:Registering ReciprocalGrad (<function _ReciprocalGradGrad at 0x7f6f819f7b90>) in gradient.
Level 1:tensorflow:Registering Square (<function _SquareGrad at 0x7f6f819f7aa0>) in gradient.
Level 1:tensorflow:Registering Sqrt (<function _SqrtGrad at 0x7f6f819f7c08>) in gradient.
Level 1:tensorflow:Registering SqrtGrad (<function _SqrtGradGrad at 0x7f6f819f7c80>) in gradient.
Level 1:tensorflow:Registering Rsqrt (<function _RsqrtGrad at 0x7f6f819f7d70>) in gradient.
Level 1:tensorflow:Registering RsqrtGrad (<function _RsqrtGradGrad at 0x7f6f819f7cf8>) in gradient.
Level 1:tensorflow:Registering Exp (<function _ExpGrad at 0x7f6f819f7e60>) in gradient.
Level 1:tensorflow:Registering Expm1 (<function _Expm1Grad at 0x7f6f819f7de8>) in gradient.
Level 1:tensorflow:Registering Log (<function _LogGrad at 0x7f6f819f7ed8>) in gradient.
Level 1:tensorflow:Registering Log1p (<function _Log1pGrad at 0x7f6f819f7f50>) in gradient.
Level 1:tensorflow:Registering Tanh (<function _TanhGrad at 0x7f6f81a00050>) in gradient.
Level 1:tensorflow:Registering TanhGrad (<function _TanhGradGrad at 0x7f6f81a000c8>) in gradient.
Level 1:tensorflow:Registering Erf (<function _ErfGrad at 0x7f6f81a001b8>) in gradient.
Level 1:tensorflow:Registering Erfc (<function _ErfcGrad at 0x7f6f81a00140>) in gradient.
Level 1:tensorflow:Registering Lgamma (<function _LgammaGrad at 0x7f6f81a00230>) in gradient.
Level 1:tensorflow:Registering Digamma (<function _DigammaGrad at 0x7f6f81a002a8>) in gradient.
Level 1:tensorflow:Registering Igamma (<function _IgammaGrad at 0x7f6f81a00398>) in gradient.
Level 1:tensorflow:Registering Igammac (<function _IgammacGrad at 0x7f6f81a00320>) in gradient.
Level 1:tensorflow:Registering Betainc (<function _BetaincGrad at 0x7f6f81a00488>) in gradient.
Level 1:tensorflow:Registering Zeta (<function _ZetaGrad at 0x7f6f81a00500>) in gradient.
Level 1:tensorflow:Registering Polygamma (<function _PolygammaGrad at 0x7f6f81a00410>) in gradient.
Level 1:tensorflow:Registering Sigmoid (<function _SigmoidGrad at 0x7f6f81a005f0>) in gradient.
Level 1:tensorflow:Registering SigmoidGrad (<function _SigmoidGradGrad at 0x7f6f81a00668>) in gradient.
Level 1:tensorflow:Registering Sign (<function _SignGrad at 0x7f6f81a00578>) in gradient.
Level 1:tensorflow:Registering Sin (<function _SinGrad at 0x7f6f81a006e0>) in gradient.
Level 1:tensorflow:Registering Cos (<function _CosGrad at 0x7f6f81a00758>) in gradient.
Level 1:tensorflow:Registering Tan (<function _TanGrad at 0x7f6f81a007d0>) in gradient.
Level 1:tensorflow:Registering Asin (<function _AsinGrad at 0x7f6f81a00848>) in gradient.
Level 1:tensorflow:Registering Acos (<function _AcosGrad at 0x7f6f81a008c0>) in gradient.
Level 1:tensorflow:Registering Atan (<function _AtanGrad at 0x7f6f81a00938>) in gradient.
Level 1:tensorflow:Registering Atan2 (<function _Atan2Grad at 0x7f6f81a009b0>) in gradient.
Level 1:tensorflow:Registering AddN (<function _AddNGrad at 0x7f6f81a00a28>) in gradient.
Level 1:tensorflow:Registering Add (<function _AddGrad at 0x7f6f81a00aa0>) in gradient.
Level 1:tensorflow:Registering Sub (<function _SubGrad at 0x7f6f81a00b18>) in gradient.
Level 1:tensorflow:Registering Mul (<function _MulGrad at 0x7f6f81a00b90>) in gradient.
Level 1:tensorflow:Registering Div (<function _DivGrad at 0x7f6f81a00c08>) in gradient.
Level 1:tensorflow:Registering FloorDiv (<function _FloorDivGrad at 0x7f6f81a00c80>) in gradient.
Level 1:tensorflow:Registering TruncateDiv (<function _TruncateDivGrad at 0x7f6f81a00d70>) in gradient.
Level 1:tensorflow:Registering RealDiv (<function _RealDivGrad at 0x7f6f81a00cf8>) in gradient.
Level 1:tensorflow:Registering Pow (<function _PowGrad at 0x7f6f81a00e60>) in gradient.
Level 1:tensorflow:Registering Maximum (<function _MaximumGrad at 0x7f6f81a00ed8>) in gradient.
Level 1:tensorflow:Registering Minimum (<function _MinimumGrad at 0x7f6f81a00f50>) in gradient.
Level 1:tensorflow:Registering SquaredDifference (<function _SquaredDifferenceGrad at 0x7f6f81a040c8>) in gradient.
Level 1:tensorflow:Registering Less (None) in gradient.
Level 1:tensorflow:Registering LessEqual (None) in gradient.
Level 1:tensorflow:Registering Greater (None) in gradient.
Level 1:tensorflow:Registering GreaterEqual (None) in gradient.
Level 1:tensorflow:Registering Equal (None) in gradient.
Level 1:tensorflow:Registering ApproximateEqual (None) in gradient.
Level 1:tensorflow:Registering NotEqual (None) in gradient.
Level 1:tensorflow:Registering LogicalAnd (None) in gradient.
Level 1:tensorflow:Registering LogicalOr (None) in gradient.
Level 1:tensorflow:Registering LogicalNot (None) in gradient.
Level 1:tensorflow:Registering Select (<function _SelectGrad at 0x7f6f81a04050>) in gradient.
Level 1:tensorflow:Registering MatMul (<function _MatMulGrad at 0x7f6f81a04140>) in gradient.
Level 1:tensorflow:Registering SparseMatMul (<function _SparseMatMulGrad at 0x7f6f81a041b8>) in gradient.
Level 1:tensorflow:Registering Floor (<function _FloorGrad at 0x7f6f81a04230>) in gradient.
Level 1:tensorflow:Registering Ceil (<function _CeilGrad at 0x7f6f81a042a8>) in gradient.
Level 1:tensorflow:Registering Round (<function _RoundGrad at 0x7f6f81a04320>) in gradient.
Level 1:tensorflow:Registering Rint (<function _RintGrad at 0x7f6f81a04398>) in gradient.
Level 1:tensorflow:Registering BatchMatMul (<function _BatchMatMul at 0x7f6f81a04410>) in gradient.
Level 1:tensorflow:Registering Range (None) in gradient.
Level 1:tensorflow:Registering LinSpace (None) in gradient.
Level 1:tensorflow:Registering Complex (<function _ComplexGrad at 0x7f6f81a04500>) in gradient.
Level 1:tensorflow:Registering Real (<function _RealGrad at 0x7f6f81a04578>) in gradient.
Level 1:tensorflow:Registering Imag (<function _ImagGrad at 0x7f6f81a04488>) in gradient.
Level 1:tensorflow:Registering Conj (<function _ConjGrad at 0x7f6f81a045f0>) in gradient.
Level 1:tensorflow:Registering ComplexAbs (<function _ComplexAbsGrad at 0x7f6f81a04668>) in gradient.
Level 1:tensorflow:Registering Cast (<function _CastGrad at 0x7f6f81a04758>) in gradient.
Level 1:tensorflow:Registering Cross (<function _CrossGrad at 0x7f6f81a046e0>) in gradient.
Level 1:tensorflow:Registering Cumsum (<function _CumsumGrad at 0x7f6f81a047d0>) in gradient.
Level 1:tensorflow:Registering Cumprod (<function _CumprodGrad at 0x7f6f81a04848>) in gradient.
Level 1:tensorflow:Registering SparseAddGrad (None) in gradient.
Level 1:tensorflow:Registering SparseConcat (None) in gradient.
Level 1:tensorflow:Registering SparseToDense (None) in gradient.
Level 1:tensorflow:Registering SparseReorder (<function _SparseReorderGrad at 0x7f6f81a10500>) in gradient.
Level 1:tensorflow:Registering SparseAdd (<function _SparseAddGrad at 0x7f6f81a10578>) in gradient.
Level 1:tensorflow:Registering SparseTensorDenseAdd (<function _SparseTensorDenseAddGrad at 0x7f6f81a10668>) in gradient.
Level 1:tensorflow:Registering SparseReduceSum (<function _SparseReduceSumGrad at 0x7f6f81a105f0>) in gradient.
Level 1:tensorflow:Registering SparseTensorDenseMatMul (<function _SparseTensorDenseMatMulGrad at 0x7f6f81a106e0>) in gradient.
Level 1:tensorflow:Registering SparseDenseCwiseAdd (<function _SparseDenseCwiseAddGrad at 0x7f6f81a10758>) in gradient.
Level 1:tensorflow:Registering SparseDenseCwiseMul (<function _SparseDenseCwiseMulGrad at 0x7f6f81a10848>) in gradient.
Level 1:tensorflow:Registering SparseDenseCwiseDiv (<function _SparseDenseCwiseDivGrad at 0x7f6f81a108c0>) in gradient.
Level 1:tensorflow:Registering SparseSoftmax (<function _SparseSoftmaxGrad at 0x7f6f81a10938>) in gradient.
Level 1:tensorflow:Registering SparseSparseMaximum (<function _SparseSparseMaximumGrad at 0x7f6f81a109b0>) in gradient.
Level 1:tensorflow:Registering SparseSparseMinimum (<function _SparseSparseMinimumGrad at 0x7f6f81a10a28>) in gradient.
Level 1:tensorflow:Registering FFT (<function _FFTGrad at 0x7f6f81a18410>) in gradient.
Level 1:tensorflow:Registering IFFT (<function _IFFTGrad at 0x7f6f81a18c08>) in gradient.
Level 1:tensorflow:Registering FFT2D (<function _FFT2DGrad at 0x7f6f81a18c80>) in gradient.
Level 1:tensorflow:Registering IFFT2D (<function _IFFT2DGrad at 0x7f6f81a18cf8>) in gradient.
Level 1:tensorflow:Registering FFT3D (<function _FFT3DGrad at 0x7f6f81a18d70>) in gradient.
Level 1:tensorflow:Registering IFFT3D (<function _IFFT3DGrad at 0x7f6f81a18de8>) in gradient.
Level 1:tensorflow:Registering RFFT (<function _Grad at 0x7f6f81a18f50>) in gradient.
Level 1:tensorflow:Registering IRFFT (<function _Grad at 0x7f6f81a1f050>) in gradient.
Level 1:tensorflow:Registering RFFT2D (<function _Grad at 0x7f6f81a1f0c8>) in gradient.
Level 1:tensorflow:Registering IRFFT2D (<function _Grad at 0x7f6f81a1f140>) in gradient.
Level 1:tensorflow:Registering Assign (None) in gradient.
Level 1:tensorflow:Registering AssignAdd (None) in gradient.
Level 1:tensorflow:Registering AssignSub (None) in gradient.
Level 1:tensorflow:Registering ScatterAdd (None) in gradient.
Level 1:tensorflow:Registering ScatterSub (None) in gradient.
Level 1:tensorflow:Registering ScatterMul (None) in gradient.
Level 1:tensorflow:Registering ScatterDiv (None) in gradient.
Level 1:tensorflow:Registering ScatterNdUpdate (None) in gradient.
Level 1:tensorflow:Registering ScatterNdAdd (None) in gradient.
Level 1:tensorflow:Registering ScatterNdSub (None) in gradient.
Level 1:tensorflow:Registering ScatterNdMul (None) in gradient.
Level 1:tensorflow:Registering ScatterNdDiv (None) in gradient.
Level 1:tensorflow:Registering TensorArray (None) in gradient.
Level 1:tensorflow:Registering TensorArrayGrad (None) in gradient.
Level 1:tensorflow:Registering TensorArraySize (None) in gradient.
Level 1:tensorflow:Registering TensorArrayClose (None) in gradient.
Level 1:tensorflow:Registering TensorArrayV2 (None) in gradient.
Level 1:tensorflow:Registering TensorArrayGradV2 (None) in gradient.
Level 1:tensorflow:Registering TensorArraySizeV2 (None) in gradient.
Level 1:tensorflow:Registering TensorArrayCloseV2 (None) in gradient.
Level 1:tensorflow:Registering TensorArrayV3 (None) in gradient.
Level 1:tensorflow:Registering TensorArrayGradV3 (None) in gradient.
Level 1:tensorflow:Registering TensorArraySizeV3 (None) in gradient.
Level 1:tensorflow:Registering TensorArrayCloseV3 (None) in gradient.
Level 1:tensorflow:Registering TensorArrayReadV3 (<function _TensorArrayReadGrad at 0x7f6f81a1faa0>) in gradient.
Level 1:tensorflow:Registering TensorArrayReadV2 (<function _TensorArrayReadGrad at 0x7f6f81a1faa0>) in gradient.
Level 1:tensorflow:Registering TensorArrayRead (<function _TensorArrayReadGrad at 0x7f6f81a1faa0>) in gradient.
Level 1:tensorflow:Registering TensorArrayWriteV3 (<function _TensorArrayWriteGrad at 0x7f6f81a1fb18>) in gradient.
Level 1:tensorflow:Registering TensorArrayWriteV2 (<function _TensorArrayWriteGrad at 0x7f6f81a1fb18>) in gradient.
Level 1:tensorflow:Registering TensorArrayWrite (<function _TensorArrayWriteGrad at 0x7f6f81a1fb18>) in gradient.
Level 1:tensorflow:Registering TensorArrayGatherV3 (<function _TensorArrayGatherGrad at 0x7f6f81a1fb90>) in gradient.
Level 1:tensorflow:Registering TensorArrayGatherV2 (<function _TensorArrayGatherGrad at 0x7f6f81a1fb90>) in gradient.
Level 1:tensorflow:Registering TensorArrayGather (<function _TensorArrayGatherGrad at 0x7f6f81a1fb90>) in gradient.
Level 1:tensorflow:Registering TensorArrayScatterV3 (<function _TensorArrayScatterGrad at 0x7f6f81a1fc08>) in gradient.
Level 1:tensorflow:Registering TensorArrayScatterV2 (<function _TensorArrayScatterGrad at 0x7f6f81a1fc08>) in gradient.
Level 1:tensorflow:Registering TensorArrayScatter (<function _TensorArrayScatterGrad at 0x7f6f81a1fc08>) in gradient.
Level 1:tensorflow:Registering TensorArrayConcatV3 (<function _TensorArrayConcatGrad at 0x7f6f81a1fc80>) in gradient.
Level 1:tensorflow:Registering TensorArrayConcatV2 (<function _TensorArrayConcatGrad at 0x7f6f81a1fc80>) in gradient.
Level 1:tensorflow:Registering TensorArrayConcat (<function _TensorArrayConcatGrad at 0x7f6f81a1fc80>) in gradient.
Level 1:tensorflow:Registering TensorArraySplitV3 (<function _TensorArraySplitGrad at 0x7f6f81a1fcf8>) in gradient.
Level 1:tensorflow:Registering TensorArraySplitV2 (<function _TensorArraySplitGrad at 0x7f6f81a1fcf8>) in gradient.
Level 1:tensorflow:Registering TensorArraySplit (<function _TensorArraySplitGrad at 0x7f6f81a1fcf8>) in gradient.
Level 1:tensorflow:Registering SymbolicGradient (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering Switch (<function _SwitchGrad at 0x7f6f819ca398>) in gradient.
Level 1:tensorflow:Registering RefSwitch (<function _SwitchGrad at 0x7f6f819ca398>) in gradient.
Level 1:tensorflow:Registering Merge (<function _MergeGrad at 0x7f6f819e3c80>) in gradient.
Level 1:tensorflow:Registering RefMerge (<function _RefMergeGrad at 0x7f6f819e3c08>) in gradient.
Level 1:tensorflow:Registering Exit (<function _ExitGrad at 0x7f6f819e3d70>) in gradient.
Level 1:tensorflow:Registering RefExit (<function _ExitGrad at 0x7f6f819e3d70>) in gradient.
Level 1:tensorflow:Registering NextIteration (<function _NextIterationGrad at 0x7f6f819e3cf8>) in gradient.
Level 1:tensorflow:Registering RefNextIteration (<function _RefNextIterationGrad at 0x7f6f819e3de8>) in gradient.
Level 1:tensorflow:Registering Enter (<function _EnterGrad at 0x7f6f819e3e60>) in gradient.
Level 1:tensorflow:Registering RefEnter (<function _RefEnterGrad at 0x7f6f819e3ed8>) in gradient.
Level 1:tensorflow:Registering LoopCond (<function _LoopCondGrad at 0x7f6f819e3f50>) in gradient.
Level 1:tensorflow:Registering ResizeNearestNeighbor (<function _ResizeNearestNeighborGrad at 0x7f6f81979230>) in gradient.
Level 1:tensorflow:Registering ResizeBilinear (<function _ResizeBilinearGrad at 0x7f6f819740c8>) in gradient.
Level 1:tensorflow:Registering CropAndResize (<function _CropAndResizeGrad at 0x7f6f81974140>) in gradient.
Level 1:tensorflow:Registering MatrixInverse (<function _MatrixInverseGrad at 0x7f6f81974230>) in gradient.
Level 1:tensorflow:Registering MatrixDeterminant (<function _MatrixDeterminantGrad at 0x7f6f81974938>) in gradient.
Level 1:tensorflow:Registering Cholesky (<function _CholeskyGrad at 0x7f6f819749b0>) in gradient.
Level 1:tensorflow:Registering MatrixSolve (<function _MatrixSolveGrad at 0x7f6f81974aa0>) in gradient.
Level 1:tensorflow:Registering MatrixSolveLs (<function _MatrixSolveLsGrad at 0x7f6f81974a28>) in gradient.
Level 1:tensorflow:Registering MatrixTriangularSolve (<function _MatrixTriangularSolveGrad at 0x7f6f81974b18>) in gradient.
Level 1:tensorflow:Registering SelfAdjointEigV2 (<function _SelfAdjointEigV2Grad at 0x7f6f81974b90>) in gradient.
Level 1:tensorflow:Registering Print (<function _PrintGrad at 0x7f6f81974c80>) in gradient.
Level 1:tensorflow:Registering HistogramSummary (None) in gradient.
Level 1:tensorflow:Registering ImageSummary (None) in gradient.
Level 1:tensorflow:Registering AudioSummary (None) in gradient.
Level 1:tensorflow:Registering AudioSummaryV2 (None) in gradient.
Level 1:tensorflow:Registering MergeSummary (None) in gradient.
Level 1:tensorflow:Registering ScalarSummary (None) in gradient.
Level 1:tensorflow:Registering ReaderRead (None) in gradient.
Level 1:tensorflow:Registering ReaderReadUpTo (None) in gradient.
Level 1:tensorflow:Registering ReaderNumRecordsProduced (None) in gradient.
Level 1:tensorflow:Registering ReaderNumWorkUnitsCompleted (None) in gradient.
Level 1:tensorflow:Registering ReaderSerializeState (None) in gradient.
Level 1:tensorflow:Registering ReaderRestoreState (None) in gradient.
Level 1:tensorflow:Registering ReaderReset (None) in gradient.
Level 1:tensorflow:Registering WholeFileReader (None) in gradient.
Level 1:tensorflow:Registering TextLineReader (None) in gradient.
Level 1:tensorflow:Registering FixedLengthRecordReader (None) in gradient.
Level 1:tensorflow:Registering TFRecordReader (None) in gradient.
Level 1:tensorflow:Registering IdentityReader (None) in gradient.
Level 1:tensorflow:Registering StringToHashBucket (None) in gradient.
Level 1:tensorflow:Registering StringToHashBucketFast (None) in gradient.
Level 1:tensorflow:Registering StringToHashBucketStrong (None) in gradient.
Level 1:tensorflow:Registering ReduceJoin (None) in gradient.
Level 1:tensorflow:Registering StringJoin (None) in gradient.
Level 1:tensorflow:Registering StringSplit (None) in gradient.
Level 1:tensorflow:Registering AsString (None) in gradient.
Level 1:tensorflow:Registering EncodeBase64 (None) in gradient.
Level 1:tensorflow:Registering DecodeBase64 (None) in gradient.
Level 1:tensorflow:Registering LookupTableFind (None) in gradient.
Level 1:tensorflow:Registering LookupTableFindV2 (None) in gradient.
Level 1:tensorflow:Registering LookupTableInsert (None) in gradient.
Level 1:tensorflow:Registering LookupTableInsertV2 (None) in gradient.
Level 1:tensorflow:Registering LookupTableSize (None) in gradient.
Level 1:tensorflow:Registering LookupTableSizeV2 (None) in gradient.
Level 1:tensorflow:Registering HashTable (None) in gradient.
Level 1:tensorflow:Registering HashTableV2 (None) in gradient.
Level 1:tensorflow:Registering InitializeTable (None) in gradient.
Level 1:tensorflow:Registering InitializeTableV2 (None) in gradient.
Level 1:tensorflow:Registering InitializeTableFromTextFile (None) in gradient.
Level 1:tensorflow:Registering InitializeTableFromTextFileV2 (None) in gradient.
Level 1:tensorflow:Registering MutableDenseHashTable (None) in gradient.
Level 1:tensorflow:Registering MutableDenseHashTableV2 (None) in gradient.
Level 1:tensorflow:Registering MutableHashTable (None) in gradient.
Level 1:tensorflow:Registering MutableHashTableV2 (None) in gradient.
Level 1:tensorflow:Registering MutableHashTableOfTensors (None) in gradient.
Level 1:tensorflow:Registering MutableHashTableOfTensorsV2 (None) in gradient.
Level 1:tensorflow:Registering DecodeRaw (None) in gradient.
Level 1:tensorflow:Registering ParseTensor (None) in gradient.
Level 1:tensorflow:Registering StringToNumber (None) in gradient.
Level 1:tensorflow:Registering PyFunc (None) in gradient.
Level 1:tensorflow:Registering PyFuncStateless (None) in gradient.
Level 1:tensorflow:Registering TensorSummary (None) in gradient.
Level 1:tensorflow:Registering savers ((<class 'tensorflow.core.protobuf.saver_pb2.SaverDef'>, <unbound method Saver.to_proto>, <function from_proto at 0x7f6f81805410>)) in proto functions.
Level 1:tensorflow:Registering queue_runners ((<class 'tensorflow.core.protobuf.queue_runner_pb2.QueueRunnerDef'>, <unbound method QueueRunner.to_proto>, <function from_proto at 0x7f6f817df848>)) in proto functions.
Level 1:tensorflow:Registering Conv2D,flops (<function _calc_conv_flops at 0x7f6f817342a8>) in statistical functions.
Level 1:tensorflow:Registering DepthwiseConv2dNative,flops (<function _calc_depthwise_conv_flops at 0x7f6f817266e0>) in statistical functions.
Level 1:tensorflow:Registering BiasAdd,flops (<function _calc_bias_add_flops at 0x7f6f81726758>) in statistical functions.
Level 1:tensorflow:Registering Dilation2D,flops (<function _calc_dilation2d_flops at 0x7f6f81726a28>) in statistical functions.
Level 1:tensorflow:Registering Conv2DBackpropInput (<function _Conv2DBackpropInputGrad at 0x7f6f81726b18>) in gradient.
Level 1:tensorflow:Registering Conv2DBackpropFilter (<function _Conv2DBackpropFilterGrad at 0x7f6f81726b90>) in gradient.
Level 1:tensorflow:Registering Conv3D (<function _Conv3DGrad at 0x7f6f81726c08>) in gradient.
Level 1:tensorflow:Registering Conv3DBackpropInputV2 (<function _Conv3DBackpropInputGrad at 0x7f6f81726c80>) in gradient.
Level 1:tensorflow:Registering Conv3DBackpropFilterV2 (<function _Conv3DBackpropFilterGrad at 0x7f6f81726cf8>) in gradient.
Level 1:tensorflow:Registering AvgPool3D (<function _AvgPool3DGrad at 0x7f6f81726d70>) in gradient.
Level 1:tensorflow:Registering AvgPool3DGrad (<function _AvgPool3DGradGrad at 0x7f6f81726e60>) in gradient.
Level 1:tensorflow:Registering MaxPool3D (<function _MaxPool3DGrad at 0x7f6f81726de8>) in gradient.
Level 1:tensorflow:Registering MaxPool3DGrad (<function _MaxPool3DGradGrad at 0x7f6f81726f50>) in gradient.
Level 1:tensorflow:Registering MaxPool3DGradGrad (<function _MaxPool3DGradGradGrad at 0x7f6f81726ed8>) in gradient.
Level 1:tensorflow:Registering Softmax (<function _SoftmaxGrad at 0x7f6f8172a050>) in gradient.
Level 1:tensorflow:Registering LogSoftmax (<function _LogSoftmaxGrad at 0x7f6f8172a140>) in gradient.
Level 1:tensorflow:Registering BiasAdd (<function _BiasAddGrad at 0x7f6f8172a1b8>) in gradient.
Level 1:tensorflow:Registering BiasAddGrad (<function _BiasAddGradGrad at 0x7f6f8172a230>) in gradient.
Level 1:tensorflow:Registering BiasAddV1 (<function _BiasAddGradV1 at 0x7f6f8172a0c8>) in gradient.
Level 1:tensorflow:Registering Relu (<function _ReluGrad at 0x7f6f8172a320>) in gradient.
Level 1:tensorflow:Registering EluGrad (<function _EluGradGrad at 0x7f6f8172a2a8>) in gradient.
Level 1:tensorflow:Registering Relu6 (<function _Relu6Grad at 0x7f6f8172a410>) in gradient.
Level 1:tensorflow:Registering Elu (<function _EluGrad at 0x7f6f8172a398>) in gradient.
Level 1:tensorflow:Registering Softplus (<function _SoftplusGrad at 0x7f6f8172a488>) in gradient.
Level 1:tensorflow:Registering SoftplusGrad (<function _SoftplusGradGrad at 0x7f6f8172a578>) in gradient.
Level 1:tensorflow:Registering Softsign (<function _SoftsignGrad at 0x7f6f8172a500>) in gradient.
Level 1:tensorflow:Registering ReluGrad (<function _ReluGradGrad at 0x7f6f8172a668>) in gradient.
Level 1:tensorflow:Registering SoftmaxCrossEntropyWithLogits (<function _SoftmaxCrossEntropyWithLogitsGrad at 0x7f6f8172a5f0>) in gradient.
Level 1:tensorflow:Registering SparseSoftmaxCrossEntropyWithLogits (<function _SparseSoftmaxCrossEntropyWithLogitsGrad at 0x7f6f8172a758>) in gradient.
Level 1:tensorflow:Registering Conv2D (<function _Conv2DGrad at 0x7f6f8172a7d0>) in gradient.
Level 1:tensorflow:Registering DepthwiseConv2dNative (<function _DepthwiseConv2dNativeGrad at 0x7f6f8172a848>) in gradient.
Level 1:tensorflow:Registering Dilation2D (<function _Dilation2DGrad at 0x7f6f8172a8c0>) in gradient.
Level 1:tensorflow:Registering LRN (<function _LRNGrad at 0x7f6f8172a9b0>) in gradient.
Level 1:tensorflow:Registering AvgPool (<function _AvgPoolGrad at 0x7f6f8172a938>) in gradient.
Level 1:tensorflow:Registering AvgPoolGrad (<function _AvgPoolGradGrad at 0x7f6f8172aaa0>) in gradient.
Level 1:tensorflow:Registering MaxPool (<function _MaxPoolGrad at 0x7f6f8172aa28>) in gradient.
Level 1:tensorflow:Registering MaxPoolWithArgmax (<function _MaxPoolGradWithArgmax at 0x7f6f8172ab90>) in gradient.
Level 1:tensorflow:Registering MaxPoolGrad (<function _MaxPoolGradGrad at 0x7f6f8172ab18>) in gradient.
Level 1:tensorflow:Registering MaxPoolGradGrad (<function _MaxPoolGradGradGrad at 0x7f6f8172ac08>) in gradient.
Level 1:tensorflow:Registering FractionalMaxPool (<function _FractionalMaxPoolGrad at 0x7f6f8172ac80>) in gradient.
Level 1:tensorflow:Registering FractionalAvgPool (<function _FractionalAvgPoolGrad at 0x7f6f8172acf8>) in gradient.
Level 1:tensorflow:Registering BatchNormWithGlobalNormalization (<function _BatchNormWithGlobalNormalizationGrad at 0x7f6f8172ad70>) in gradient.
Level 1:tensorflow:Registering FusedBatchNorm (<function _FusedBatchNormGrad at 0x7f6f8172ade8>) in gradient.
Level 1:tensorflow:Registering L2Loss (<function _L2LossGrad at 0x7f6f8172ae60>) in gradient.
Level 1:tensorflow:Registering TopKV2 (<function _TopKGrad at 0x7f6f8172aed8>) in gradient.
Level 1:tensorflow:Registering TopK (<function _TopKGrad at 0x7f6f8172aed8>) in gradient.
Level 1:tensorflow:Registering CTCLoss (<function _CTCLossGrad at 0x7f6f816af050>) in gradient.
Level 1:tensorflow:Registering CTCGreedyDecoder (None) in gradient.
Level 1:tensorflow:Registering CTCBeamSearchDecoder (None) in gradient.
Level 1:tensorflow:Registering SetSize (None) in gradient.
Level 1:tensorflow:Registering DenseToDenseSetOperation (None) in gradient.
Level 1:tensorflow:Registering DenseToSparseSetOperation (None) in gradient.
Level 1:tensorflow:Registering SparseToSparseSetOperation (None) in gradient.
Level 1:tensorflow:Registering SdcaFprint (None) in gradient.
Level 1:tensorflow:Registering SdcaOptimizer (None) in gradient.
Level 1:tensorflow:Registering SdcaShrinkL1 (None) in gradient.
Level 1:tensorflow:Registering RandomCrop (None) in gradient.
Level 1:tensorflow:Registering RGBToHSV (None) in gradient.
Level 1:tensorflow:Registering HSVToRGB (None) in gradient.
Level 1:tensorflow:Registering DrawBoundingBoxes (None) in gradient.
Level 1:tensorflow:Registering SampleDistortedBoundingBox (None) in gradient.
Level 1:tensorflow:Registering ExtractGlimpse (None) in gradient.
Level 1:tensorflow:Registering NonMaxSuppression (None) in gradient.
Level 1:tensorflow:Registering Fact (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering BigQueryReader (None) in gradient.
Level 1:tensorflow:Registering CudnnRNN (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNBackprop (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNCanonicalToParams (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNParamsSize (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNParamsToCanonical (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNN (<function _cudnn_rnn_backward at 0x7f6f78937758>) in gradient.
Level 1:tensorflow:Registering CudnnRNNParamsSize (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNNParamsToCanonical (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNNCanonicalToParams (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNN (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNNBackprop (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
Level 1:tensorflow:Registering ZeroInitializer (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering KmeansPlusPlusInitialization (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering NearestNeighbors (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering MaskedMatmul (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering WALSComputePartialLhsAndRhs (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering SparseFeatureCross (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering SparseFeatureCrossV2 (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering SparseFeatureCross (None) in gradient.
Level 1:tensorflow:Registering SparseFeatureCrossV2 (None) in gradient.
Level 1:tensorflow:Registering ObtainNext (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering hparams ((<class 'tensorflow.contrib.training.python.training.hparam_pb2.HParamDef'>, <unbound method HParams.to_proto>, <function from_proto at 0x7f6f773212a8>)) in proto functions.
Level 1:tensorflow:Registering GRUBlockCell (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering GRUBlockCellGrad (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering GRUBlockCell (<function _GRUBlockCellGrad at 0x7f6f772c21b8>) in gradient.
Level 1:tensorflow:Registering BlockLSTM (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering BlockLSTMGrad (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering LSTMBlockCell (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering LSTMBlockCellGrad (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering LSTMBlockCell (<function _LSTMBlockCellGrad at 0x7f6f771ab5f0>) in gradient.
Level 1:tensorflow:Registering BlockLSTM (<function _BlockLSTMGrad at 0x7f6f771ab668>) in gradient.
Level 1:tensorflow:Registering BipartiteMatch (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering ImageProjectiveTransform (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering ImageProjectiveTransform (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
Level 1:tensorflow:Registering ImageProjectiveTransform (<function _image_projective_transform_grad at 0x7f6f77003c08>) in gradient.
Level 1:tensorflow:Registering BipartiteMatch (None) in gradient.
Level 1:tensorflow:Registering SingleImageRandomDotStereograms (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering SingleImageRandomDotStereograms (None) in gradient.
Level 1:tensorflow:Registering BytesLimit (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering MaxBytesInUse (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering NcclAllReduce (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering NcclBroadcastRecv (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering NcclBroadcastSend (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering GatherTree (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering StatelessRandomNormal (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering StatelessRandomUniform (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering StatelessTruncatedNormal (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering BestSplits (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering CountExtremelyRandomStats (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering FinishedNodes (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering GrowTree (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering ReinterpretStringToFloat (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering SampleInputs (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering ScatterAddNdim (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering TopNInsert (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering TopNRemove (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering TreePredictions (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
Level 1:tensorflow:Registering UpdateFertileSlots (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
2018-08-17 00:18:19.095657: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-08-17 00:18:19.095701: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-08-17 00:18:19.095709: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-08-17 00:18:19.095714: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-08-17 00:18:19.095719: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Level 1:tensorflow:Gradient for 'loss/add_2'
Level 1:tensorflow:  in  --> training/Adam/gradients/Fill:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/add_2_grad/Reshape:0, training/Adam/gradients/loss/add_2_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/add_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/add_2_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/add_1_grad/Reshape:0, training/Adam/gradients/loss/add_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/mul_3'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/add_2_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/mul_3_grad/Reshape:0, training/Adam/gradients/loss/mul_3_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/add_1_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/add_grad/Reshape:0, training/Adam/gradients/loss/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/mul_2'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/add_1_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/mul_2_grad/Reshape:0, training/Adam/gradients/loss/mul_2_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/Mean_3'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/mul_3_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/add_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/mul_grad/Reshape:0, training/Adam/gradients/loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/mul_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/mul_1_grad/Reshape:0, training/Adam/gradients/loss/mul_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/Mean_3'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/mul_2_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/div_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/div_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/Mean_3'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/mul_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/Mean_3'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/mul_1_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/div_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/div_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/div_1_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/div_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/div_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/div_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/Mean_3_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/div_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/div_1_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/Mean_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/mul_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/div_1_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/div_1_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/Mean_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/mul_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/Mean'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/Mean_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/Mean_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/mul_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/Mean_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/mul_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/Mean'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/Mean_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/Mean_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/Mean'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/Mean_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/Mean'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/Mean_1_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/Mean_grad/truediv:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/Mean_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/sub'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/Log1p'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/Mean_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/Mean_grad/truediv:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/sub'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/Log1p'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/Select'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/Exp'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/sub'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/Log1p'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/sub'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/Log1p'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/Select'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/Exp'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/Select_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_1_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/Select'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/Exp'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/Select'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/mul'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/mul_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/Exp'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Log1p_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/Select_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_1_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/logistic_loss/Neg'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_1_grad/Select:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Neg_grad/Neg:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/Select_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_1_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/Select_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Exp_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_1_grad/Select_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/logistic_loss/Neg'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_1_grad/Select:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Neg_grad/Neg:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/logistic_loss/Neg'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_1_grad/Select:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Neg_grad/Neg:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/logistic_loss/Neg'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_1_grad/Select:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Neg_grad/Neg:0
Level 2:tensorflow:  _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/Log'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/Log_grad/mul:0
Level 2:tensorflow:  _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/Log'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/Log_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/div'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/Log_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/div_grad/Reshape_1:0
Level 2:tensorflow:  _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/Log'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_2:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/Log_grad/mul:0
Level 2:tensorflow:  _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/Log'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_3:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/Log_grad/mul:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/div'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/Log_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/div_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/sub_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/div_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/sub_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/div'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/Log_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/div_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/div'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/Log_grad/mul:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/div_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/sub_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/div_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/sub_1_grad/Reshape_1:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/clip_by_value'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_4:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/clip_by_value_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/sub_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/div_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/sub_1_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/sub_1'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/div_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/sub_1_grad/Reshape_1:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/clip_by_value'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_5:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/clip_by_value_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_31_loss/clip_by_value/Minimum'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/clip_by_value/Minimum_grad/Reshape_1:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/clip_by_value'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_6:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/clip_by_value_grad/Reshape_1:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/clip_by_value'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_7:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/clip_by_value_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_30_loss/clip_by_value/Minimum'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/clip_by_value/Minimum_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_31/Sigmoid'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value/Minimum_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:Gradient for 'loss/conv2d_28_loss/clip_by_value/Minimum'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/clip_by_value/Minimum_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'loss/conv2d_29_loss/clip_by_value/Minimum'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/clip_by_value/Minimum_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_30/Sigmoid'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value/Minimum_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:Gradient for 'conv2d_31/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_31/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_28/Sigmoid'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value/Minimum_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:Gradient for 'conv2d_29/Sigmoid'
Level 1:tensorflow:  in  --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value/Minimum_grad/Reshape:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:Gradient for 'conv2d_30/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_30/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_31/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_31/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_31/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_31/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_28/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_28/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_29/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_29/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_30/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_30/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_30/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_30/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_31/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_28/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_28/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_28/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_28/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_29/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_29/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_29/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_29/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_30/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_28/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropFilter:0
Level 2:tensorflow:  _AggregatedGrads 4 x (?, 256, 256, 32) using add_n
Level 1:tensorflow:Gradient for 'add_11/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_8:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_11/add_grad/Reshape:0, training/Adam/gradients/add_11/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_29/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_27/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_11/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_27/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_27/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_27/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_27/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_27/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_27/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_26/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_27/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_26/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_26/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_26/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_26/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_26/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_26/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'concatenate_5/concat'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/concatenate_5/concat_grad/Slice:0, training/Adam/gradients/concatenate_5/concat_grad/Slice_1:0
Level 1:tensorflow:Gradient for 'conv2d_26/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropFilter:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, ?, ?, 32) using add_n
Level 1:tensorflow:Gradient for 'conv2d_transpose_5/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_9:0
Level 1:tensorflow:  out --> training/Adam/gradients/AddN_9:0, training/Adam/gradients/conv2d_transpose_5/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_5/conv2d_transpose'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_9:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_5/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_5/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_5/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_5/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'add_10/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_10/add_grad/Reshape:0, training/Adam/gradients/add_10/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_25/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_10/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_25/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_25/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_25/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_25/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_25/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_25/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_24/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_25/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_24/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_24/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_24/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_24/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_24/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_24/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'concatenate_4/concat'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/concatenate_4/concat_grad/Slice:0, training/Adam/gradients/concatenate_4/concat_grad/Slice_1:0
Level 1:tensorflow:Gradient for 'conv2d_24/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropFilter:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, ?, ?, 64) using add_n
Level 1:tensorflow:Gradient for 'conv2d_transpose_4/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_10:0
Level 1:tensorflow:  out --> training/Adam/gradients/AddN_10:0, training/Adam/gradients/conv2d_transpose_4/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_4/conv2d_transpose'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_10:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_4/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_4/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_4/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_4/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'add_9/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_9/add_grad/Reshape:0, training/Adam/gradients/add_9/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_23/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_9/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_23/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_23/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_23/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_23/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_23/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_23/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_22/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_23/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_22/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_22/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_22/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_22/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_22/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_22/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'concatenate_3/concat'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/concatenate_3/concat_grad/Slice:0, training/Adam/gradients/concatenate_3/concat_grad/Slice_1:0
Level 1:tensorflow:Gradient for 'conv2d_22/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropFilter:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, ?, ?, 128) using add_n
Level 1:tensorflow:Gradient for 'conv2d_transpose_3/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_11:0
Level 1:tensorflow:  out --> training/Adam/gradients/AddN_11:0, training/Adam/gradients/conv2d_transpose_3/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_3/conv2d_transpose'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_11:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_3/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_3/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_3/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_3/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'add_8/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_8/add_grad/Reshape:0, training/Adam/gradients/add_8/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_21/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_8/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_21/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_21/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_21/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_21/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_21/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_21/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_20/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_21/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_20/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_20/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_20/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_20/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_20/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_20/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'concatenate_2/concat'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/concatenate_2/concat_grad/Slice:0, training/Adam/gradients/concatenate_2/concat_grad/Slice_1:0
Level 1:tensorflow:Gradient for 'conv2d_20/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropFilter:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, ?, ?, 256) using add_n
Level 1:tensorflow:Gradient for 'conv2d_transpose_2/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_12:0
Level 1:tensorflow:  out --> training/Adam/gradients/AddN_12:0, training/Adam/gradients/conv2d_transpose_2/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_2/conv2d_transpose'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_12:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_2/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_2/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_2/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_2/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'add_7/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_7/add_grad/Reshape:0, training/Adam/gradients/add_7/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_19/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_7/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_19/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_19/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_19/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_19/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_19/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_19/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_18/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_19/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_18/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_18/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_18/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_18/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_18/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_18/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'concatenate_1/concat'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/concatenate_1/concat_grad/Slice:0, training/Adam/gradients/concatenate_1/concat_grad/Slice_1:0
Level 1:tensorflow:Gradient for 'conv2d_18/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropFilter:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, ?, ?, 512) using add_n
Level 1:tensorflow:Gradient for 'conv2d_transpose_1/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_13:0
Level 1:tensorflow:  out --> training/Adam/gradients/AddN_13:0, training/Adam/gradients/conv2d_transpose_1/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_1/conv2d_transpose'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_13:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_1/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_1/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_1/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_transpose_1/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'add_6/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2D:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_6/add_grad/Reshape:0, training/Adam/gradients/add_6/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_17/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_6/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_17/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_17/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_17/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_17/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_17/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_17/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_16/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_17/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_16/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_16/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_16/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_16/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_16/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_16/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 8, 8, 1024) using add_n
Level 1:tensorflow:Gradient for 'conv2d_15/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_14:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_16/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_15/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_15/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_15/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_15/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_15/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_15/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 16, 16, 512) using add_n
Level 1:tensorflow:Gradient for 'add_5/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_15:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_5/add_grad/Reshape:0, training/Adam/gradients/add_5/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_15/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_14/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_5/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_14/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_14/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_14/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_14/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_14/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_14/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_13/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_14/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_13/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_13/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_13/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_13/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_13/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_13/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 16, 16, 512) using add_n
Level 1:tensorflow:Gradient for 'conv2d_12/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_16:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_13/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_12/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_12/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_12/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_12/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_12/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_12/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 32, 32, 256) using add_n
Level 1:tensorflow:Gradient for 'add_4/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_17:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_4/add_grad/Reshape:0, training/Adam/gradients/add_4/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_12/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_11/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_4/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_11/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_11/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_11/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_11/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_11/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_11/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_10/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_11/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_10/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_10/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_10/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_10/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_10/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_10/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 32, 32, 256) using add_n
Level 1:tensorflow:Gradient for 'conv2d_9/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_18:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_10/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_9/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_9/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_9/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_9/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_9/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_9/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 64, 64, 128) using add_n
Level 1:tensorflow:Gradient for 'add_3/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_19:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_3/add_grad/Reshape:0, training/Adam/gradients/add_3/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_9/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_8/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_3/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_8/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_8/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_8/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_8/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_8/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_8/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_7/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_8/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_7/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_7/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_7/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_7/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_7/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_7/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 64, 64, 128) using add_n
Level 1:tensorflow:Gradient for 'conv2d_6/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_20:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_7/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_6/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_6/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_6/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_6/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_6/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_6/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 128, 128, 64) using add_n
Level 1:tensorflow:Gradient for 'add_2/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_21:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_2/add_grad/Reshape:0, training/Adam/gradients/add_2/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_6/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_5/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_2/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_5/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_5/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_5/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_5/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_5/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_5/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_4/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_5/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_4/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_4/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_4/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_4/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_4/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_4/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 128, 128, 64) using add_n
Level 1:tensorflow:Gradient for 'conv2d_3/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_22:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_4/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_3/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_3/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_3/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_3/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_3/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_3/BiasAdd_grad/BiasAddGrad:0
Level 2:tensorflow:  _AggregatedGrads 2 x (?, 256, 256, 32) using add_n
Level 1:tensorflow:Gradient for 'add_1/add'
Level 1:tensorflow:  in  --> training/Adam/gradients/AddN_23:0
Level 1:tensorflow:  out --> training/Adam/gradients/add_1/add_grad/Reshape:0, training/Adam/gradients/add_1/add_grad/Reshape_1:0
Level 1:tensorflow:Gradient for 'conv2d_3/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_2/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/add_1/add_grad/Reshape_1:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_2/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_2/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_2/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_1/Elu'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropInput:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0
Level 1:tensorflow:Gradient for 'conv2d_2/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_1/BiasAdd'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_1/convolution'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:Gradient for 'conv2d_1/bias/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad:0
Level 1:tensorflow:Gradient for 'conv2d_1/kernel/read'
Level 1:tensorflow:  in  --> training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter:0
Level 1:tensorflow:  out --> training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter:0
F
======================================================================
FAIL: Run a simple sample test and compare to a baseline
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/home/ec2-user/Projects/CIP-build/CIP-build/cip_python/dcnn/tests/test_lung_segmentation_dcnn.py", line 32, in test_lung_segmentation_dcnn
    assert np.allclose(output_image, baseline_image), "The baseline image is different from the algorithm output"
AssertionError: The baseline image is different from the algorithm output
-------------------- >> begin captured stdout << ---------------------
    Predicting axial probabilities...
Segmenting slice 0 of 2
Segmenting slice 1 of 2

--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
tensorflow: Level 1: Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x7f6f81e9e500>) in gradient.
tensorflow: Level 1: Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x7f6f81dd2b90>) in gradient.
tensorflow: Level 1: Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x7f6f81dd2c08>) in gradient.
tensorflow: Level 1: Registering MatMul,flops (<function _calc_mat_mul_flops at 0x7f6f81c0bc80>) in statistical functions.
tensorflow: Level 1: Registering cond_context ((<class 'tensorflow.core.protobuf.control_flow_pb2.CondContextDef'>, <unbound method CondContext.to_proto>, <function from_proto at 0x7f6f81b9da28>)) in proto functions.
tensorflow: Level 1: Registering while_context ((<class 'tensorflow.core.protobuf.control_flow_pb2.WhileContextDef'>, <unbound method WhileContext.to_proto>, <function from_proto at 0x7f6f81b9e398>)) in proto functions.
tensorflow: Level 1: Registering ReadVariableOp (<function _ReadGrad at 0x7f6f81b41c08>) in gradient.
tensorflow: Level 1: Registering ResourceGather (<function _GatherGrad at 0x7f6f81b69230>) in gradient.
tensorflow: Level 1: Registering variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7f6f81b69320>, <function _from_proto_fn at 0x7f6f81b692a8>)) in proto functions.
tensorflow: Level 1: Registering trainable_variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7f6f81b69320>, <function _from_proto_fn at 0x7f6f81b692a8>)) in proto functions.
tensorflow: Level 1: Registering moving_average_variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7f6f81b69320>, <function _from_proto_fn at 0x7f6f81b692a8>)) in proto functions.
tensorflow: Level 1: Registering RandomStandardNormal (None) in gradient.
tensorflow: Level 1: Registering ParameterizedTruncatedNormal (None) in gradient.
tensorflow: Level 1: Registering TruncatedNormal (None) in gradient.
tensorflow: Level 1: Registering RandomUniform (None) in gradient.
tensorflow: Level 1: Registering Multinomial (None) in gradient.
tensorflow: Level 1: Registering RandomGamma (None) in gradient.
tensorflow: Level 1: Registering Pack (<function _PackGrad at 0x7f6f81aa52a8>) in gradient.
tensorflow: Level 1: Registering Unpack (<function _UnpackGrad at 0x7f6f81a2e410>) in gradient.
tensorflow: Level 1: Registering Concat (<function _ConcatGrad at 0x7f6f81a2e500>) in gradient.
tensorflow: Level 1: Registering ConcatV2 (<function _ConcatGradV2 at 0x7f6f81a2e578>) in gradient.
tensorflow: Level 1: Registering ConcatOffset (None) in gradient.
tensorflow: Level 1: Registering Slice (<function _SliceGrad at 0x7f6f81a2e668>) in gradient.
tensorflow: Level 1: Registering StridedSlice (<function _StridedSliceGrad at 0x7f6f81a2e5f0>) in gradient.
tensorflow: Level 1: Registering StridedSliceGrad (<function _StridedSliceGradGrad at 0x7f6f81a2e6e0>) in gradient.
tensorflow: Level 1: Registering Split (<function _SplitGrad at 0x7f6f81a2e758>) in gradient.
tensorflow: Level 1: Registering SplitV (<function _SplitVGrad at 0x7f6f81a2e7d0>) in gradient.
tensorflow: Level 1: Registering Const (None) in gradient.
tensorflow: Level 1: Registering Diag (<function _DiagGrad at 0x7f6f81a2e848>) in gradient.
tensorflow: Level 1: Registering DiagPart (<function _DiagPartGrad at 0x7f6f81a2e8c0>) in gradient.
tensorflow: Level 1: Registering MatrixDiag (<function _MatrixDiagGrad at 0x7f6f81a2e9b0>) in gradient.
tensorflow: Level 1: Registering MatrixDiagPart (<function _MatrixDiagPartGrad at 0x7f6f81a2ea28>) in gradient.
tensorflow: Level 1: Registering MatrixSetDiag (<function _MatrixSetDiagGrad at 0x7f6f81a2e938>) in gradient.
tensorflow: Level 1: Registering MatrixBandPart (<function _MatrixBandPartGrad at 0x7f6f81a2eaa0>) in gradient.
tensorflow: Level 1: Registering EditDistance (None) in gradient.
tensorflow: Level 1: Registering Fill (<function _FillGrad at 0x7f6f81a2eb18>) in gradient.
tensorflow: Level 1: Registering ZerosLike (None) in gradient.
tensorflow: Level 1: Registering OnesLike (None) in gradient.
tensorflow: Level 1: Registering PreventGradient (<function _PreventGradientGrad at 0x7f6f81a2eb90>) in gradient.
tensorflow: Level 1: Registering Gather (<function _GatherGrad at 0x7f6f81a2ec08>) in gradient.
tensorflow: Level 1: Registering GatherNd (<function _GatherNdGrad at 0x7f6f81a2ec80>) in gradient.
tensorflow: Level 1: Registering CheckNumerics (<function _CheckNumericsGrad at 0x7f6f81a2ed70>) in gradient.
tensorflow: Level 1: Registering Identity (<function _IdGrad at 0x7f6f81a2ecf8>) in gradient.
tensorflow: Level 1: Registering PlaceholderWithDefault (<function _IdGrad at 0x7f6f81a2ecf8>) in gradient.
tensorflow: Level 1: Registering RefIdentity (<function _RefIdGrad at 0x7f6f81a2ede8>) in gradient.
tensorflow: Level 1: Registering StopGradient (None) in gradient.
tensorflow: Level 1: Registering Reshape (<function _ReshapeGrad at 0x7f6f81a2eed8>) in gradient.
tensorflow: Level 1: Registering InvertPermutation (None) in gradient.
tensorflow: Level 1: Registering ExpandDims (<function _ExpandDimsGrad at 0x7f6f81a2ee60>) in gradient.
tensorflow: Level 1: Registering Squeeze (<function _SqueezeGrad at 0x7f6f81a3c0c8>) in gradient.
tensorflow: Level 1: Registering Transpose (<function _TransposeGrad at 0x7f6f81a3c140>) in gradient.
tensorflow: Level 1: Registering Shape (None) in gradient.
tensorflow: Level 1: Registering ShapeN (None) in gradient.
tensorflow: Level 1: Registering Rank (None) in gradient.
tensorflow: Level 1: Registering Size (None) in gradient.
tensorflow: Level 1: Registering Tile (<function _TileGrad at 0x7f6f81a3c1b8>) in gradient.
tensorflow: Level 1: Registering BroadcastGradientArgs (None) in gradient.
tensorflow: Level 1: Registering Pad (<function _PadGrad at 0x7f6f81a3c050>) in gradient.
tensorflow: Level 1: Registering ReverseSequence (<function _ReverseSequenceGrad at 0x7f6f81a3c230>) in gradient.
tensorflow: Level 1: Registering Reverse (<function _ReverseGrad at 0x7f6f81a3c2a8>) in gradient.
tensorflow: Level 1: Registering ReverseV2 (<function _ReverseV2Grad at 0x7f6f81a3c398>) in gradient.
tensorflow: Level 1: Registering SpaceToBatch (<function _SpaceToBatchGrad at 0x7f6f81a3c410>) in gradient.
tensorflow: Level 1: Registering SpaceToBatchND (<function _SpaceToBatchNDGrad at 0x7f6f81a3c320>) in gradient.
tensorflow: Level 1: Registering BatchToSpace (<function _BatchToSpaceGrad at 0x7f6f81a3c488>) in gradient.
tensorflow: Level 1: Registering BatchToSpaceND (<function _BatchToSpaceNDGrad at 0x7f6f81a3c500>) in gradient.
tensorflow: Level 1: Registering SpaceToDepth (<function _SpaceToDepthGrad at 0x7f6f81a3c578>) in gradient.
tensorflow: Level 1: Registering DepthToSpace (<function _DepthToSpaceGrad at 0x7f6f81a3c5f0>) in gradient.
tensorflow: Level 1: Registering OneHot (None) in gradient.
tensorflow: Level 1: Registering MirrorPad (<function _MirrorPadGrad at 0x7f6f81a3c668>) in gradient.
tensorflow: Level 1: Registering MirrorPadGrad (<function _MirrorPadGradGrad at 0x7f6f81a3c758>) in gradient.
tensorflow: Level 1: Registering QuantizeAndDequantize (<function _QuantizeAndDequantizeGrad at 0x7f6f81a3c6e0>) in gradient.
tensorflow: Level 1: Registering QuantizeAndDequantizeV2 (<function _QuantizeAndDequantizeV2Grad at 0x7f6f81a3c7d0>) in gradient.
tensorflow: Level 1: Registering ExtractImagePatches (<function _ExtractImagePatchesGrad at 0x7f6f81a3c848>) in gradient.
tensorflow: Level 1: Registering ScatterNd (<function _ScatterNdGrad at 0x7f6f81a3c8c0>) in gradient.
tensorflow: Level 1: Registering DynamicPartition (<function _DynamicPartitionGrads at 0x7f6f81a51140>) in gradient.
tensorflow: Level 1: Registering DynamicStitch (<function _DynamicStitchGrads at 0x7f6f81a53cf8>) in gradient.
tensorflow: Level 1: Registering Queue (None) in gradient.
tensorflow: Level 1: Registering QueueEnqueue (None) in gradient.
tensorflow: Level 1: Registering QueueEnqueueMany (None) in gradient.
tensorflow: Level 1: Registering QueueDequeue (None) in gradient.
tensorflow: Level 1: Registering QueueDequeueMany (None) in gradient.
tensorflow: Level 1: Registering QueueDequeueUpTo (None) in gradient.
tensorflow: Level 1: Registering QueueClose (None) in gradient.
tensorflow: Level 1: Registering QueueSize (None) in gradient.
tensorflow: Level 1: Registering Stack (None) in gradient.
tensorflow: Level 1: Registering StackPush (None) in gradient.
tensorflow: Level 1: Registering StackPop (None) in gradient.
tensorflow: Level 1: Registering StackClose (None) in gradient.
tensorflow: Level 1: Registering GetSessionHandle (None) in gradient.
tensorflow: Level 1: Registering GetSessionHandleV2 (None) in gradient.
tensorflow: Level 1: Registering GetSessionTensor (None) in gradient.
tensorflow: Level 1: Registering DeleteSessionTensor (None) in gradient.
tensorflow: Level 1: Registering Sum (<function _SumGrad at 0x7f6f81a5dc08>) in gradient.
tensorflow: Level 1: Registering Max (<function _MaxGrad at 0x7f6f819f7230>) in gradient.
tensorflow: Level 1: Registering Min (<function _MinGrad at 0x7f6f819f72a8>) in gradient.
tensorflow: Level 1: Registering Mean (<function _MeanGrad at 0x7f6f819f7320>) in gradient.
tensorflow: Level 1: Registering Prod (<function _ProdGrad at 0x7f6f819f7398>) in gradient.
tensorflow: Level 1: Registering SegmentSum (<function _SegmentSumGrad at 0x7f6f819f7410>) in gradient.
tensorflow: Level 1: Registering SegmentMean (<function _SegmentMeanGrad at 0x7f6f819f7500>) in gradient.
tensorflow: Level 1: Registering SparseSegmentSum (<function _SparseSegmentSumGrad at 0x7f6f819f7488>) in gradient.
tensorflow: Level 1: Registering SparseSegmentMean (<function _SparseSegmentMeanGrad at 0x7f6f819f7578>) in gradient.
tensorflow: Level 1: Registering SparseSegmentSqrtN (<function _SparseSegmentSqrtNGrad at 0x7f6f819f75f0>) in gradient.
tensorflow: Level 1: Registering SegmentMin (<function _SegmentMinGrad at 0x7f6f819f76e0>) in gradient.
tensorflow: Level 1: Registering SegmentMax (<function _SegmentMaxGrad at 0x7f6f819f77d0>) in gradient.
tensorflow: Level 1: Registering UnsortedSegmentSum (<function _UnsortedSegmentSumGrad at 0x7f6f819f7848>) in gradient.
tensorflow: Level 1: Registering UnsortedSegmentMax (<function _UnsortedSegmentMaxGrad at 0x7f6f819f7758>) in gradient.
tensorflow: Level 1: Registering Abs (<function _AbsGrad at 0x7f6f819f78c0>) in gradient.
tensorflow: Level 1: Registering Neg (<function _NegGrad at 0x7f6f819f7938>) in gradient.
tensorflow: Level 1: Registering Inv (<function _InvGrad at 0x7f6f819f79b0>) in gradient.
tensorflow: Level 1: Registering Reciprocal (<function _ReciprocalGrad at 0x7f6f819f7a28>) in gradient.
tensorflow: Level 1: Registering InvGrad (<function _InvGradGrad at 0x7f6f819f7b18>) in gradient.
tensorflow: Level 1: Registering ReciprocalGrad (<function _ReciprocalGradGrad at 0x7f6f819f7b90>) in gradient.
tensorflow: Level 1: Registering Square (<function _SquareGrad at 0x7f6f819f7aa0>) in gradient.
tensorflow: Level 1: Registering Sqrt (<function _SqrtGrad at 0x7f6f819f7c08>) in gradient.
tensorflow: Level 1: Registering SqrtGrad (<function _SqrtGradGrad at 0x7f6f819f7c80>) in gradient.
tensorflow: Level 1: Registering Rsqrt (<function _RsqrtGrad at 0x7f6f819f7d70>) in gradient.
tensorflow: Level 1: Registering RsqrtGrad (<function _RsqrtGradGrad at 0x7f6f819f7cf8>) in gradient.
tensorflow: Level 1: Registering Exp (<function _ExpGrad at 0x7f6f819f7e60>) in gradient.
tensorflow: Level 1: Registering Expm1 (<function _Expm1Grad at 0x7f6f819f7de8>) in gradient.
tensorflow: Level 1: Registering Log (<function _LogGrad at 0x7f6f819f7ed8>) in gradient.
tensorflow: Level 1: Registering Log1p (<function _Log1pGrad at 0x7f6f819f7f50>) in gradient.
tensorflow: Level 1: Registering Tanh (<function _TanhGrad at 0x7f6f81a00050>) in gradient.
tensorflow: Level 1: Registering TanhGrad (<function _TanhGradGrad at 0x7f6f81a000c8>) in gradient.
tensorflow: Level 1: Registering Erf (<function _ErfGrad at 0x7f6f81a001b8>) in gradient.
tensorflow: Level 1: Registering Erfc (<function _ErfcGrad at 0x7f6f81a00140>) in gradient.
tensorflow: Level 1: Registering Lgamma (<function _LgammaGrad at 0x7f6f81a00230>) in gradient.
tensorflow: Level 1: Registering Digamma (<function _DigammaGrad at 0x7f6f81a002a8>) in gradient.
tensorflow: Level 1: Registering Igamma (<function _IgammaGrad at 0x7f6f81a00398>) in gradient.
tensorflow: Level 1: Registering Igammac (<function _IgammacGrad at 0x7f6f81a00320>) in gradient.
tensorflow: Level 1: Registering Betainc (<function _BetaincGrad at 0x7f6f81a00488>) in gradient.
tensorflow: Level 1: Registering Zeta (<function _ZetaGrad at 0x7f6f81a00500>) in gradient.
tensorflow: Level 1: Registering Polygamma (<function _PolygammaGrad at 0x7f6f81a00410>) in gradient.
tensorflow: Level 1: Registering Sigmoid (<function _SigmoidGrad at 0x7f6f81a005f0>) in gradient.
tensorflow: Level 1: Registering SigmoidGrad (<function _SigmoidGradGrad at 0x7f6f81a00668>) in gradient.
tensorflow: Level 1: Registering Sign (<function _SignGrad at 0x7f6f81a00578>) in gradient.
tensorflow: Level 1: Registering Sin (<function _SinGrad at 0x7f6f81a006e0>) in gradient.
tensorflow: Level 1: Registering Cos (<function _CosGrad at 0x7f6f81a00758>) in gradient.
tensorflow: Level 1: Registering Tan (<function _TanGrad at 0x7f6f81a007d0>) in gradient.
tensorflow: Level 1: Registering Asin (<function _AsinGrad at 0x7f6f81a00848>) in gradient.
tensorflow: Level 1: Registering Acos (<function _AcosGrad at 0x7f6f81a008c0>) in gradient.
tensorflow: Level 1: Registering Atan (<function _AtanGrad at 0x7f6f81a00938>) in gradient.
tensorflow: Level 1: Registering Atan2 (<function _Atan2Grad at 0x7f6f81a009b0>) in gradient.
tensorflow: Level 1: Registering AddN (<function _AddNGrad at 0x7f6f81a00a28>) in gradient.
tensorflow: Level 1: Registering Add (<function _AddGrad at 0x7f6f81a00aa0>) in gradient.
tensorflow: Level 1: Registering Sub (<function _SubGrad at 0x7f6f81a00b18>) in gradient.
tensorflow: Level 1: Registering Mul (<function _MulGrad at 0x7f6f81a00b90>) in gradient.
tensorflow: Level 1: Registering Div (<function _DivGrad at 0x7f6f81a00c08>) in gradient.
tensorflow: Level 1: Registering FloorDiv (<function _FloorDivGrad at 0x7f6f81a00c80>) in gradient.
tensorflow: Level 1: Registering TruncateDiv (<function _TruncateDivGrad at 0x7f6f81a00d70>) in gradient.
tensorflow: Level 1: Registering RealDiv (<function _RealDivGrad at 0x7f6f81a00cf8>) in gradient.
tensorflow: Level 1: Registering Pow (<function _PowGrad at 0x7f6f81a00e60>) in gradient.
tensorflow: Level 1: Registering Maximum (<function _MaximumGrad at 0x7f6f81a00ed8>) in gradient.
tensorflow: Level 1: Registering Minimum (<function _MinimumGrad at 0x7f6f81a00f50>) in gradient.
tensorflow: Level 1: Registering SquaredDifference (<function _SquaredDifferenceGrad at 0x7f6f81a040c8>) in gradient.
tensorflow: Level 1: Registering Less (None) in gradient.
tensorflow: Level 1: Registering LessEqual (None) in gradient.
tensorflow: Level 1: Registering Greater (None) in gradient.
tensorflow: Level 1: Registering GreaterEqual (None) in gradient.
tensorflow: Level 1: Registering Equal (None) in gradient.
tensorflow: Level 1: Registering ApproximateEqual (None) in gradient.
tensorflow: Level 1: Registering NotEqual (None) in gradient.
tensorflow: Level 1: Registering LogicalAnd (None) in gradient.
tensorflow: Level 1: Registering LogicalOr (None) in gradient.
tensorflow: Level 1: Registering LogicalNot (None) in gradient.
tensorflow: Level 1: Registering Select (<function _SelectGrad at 0x7f6f81a04050>) in gradient.
tensorflow: Level 1: Registering MatMul (<function _MatMulGrad at 0x7f6f81a04140>) in gradient.
tensorflow: Level 1: Registering SparseMatMul (<function _SparseMatMulGrad at 0x7f6f81a041b8>) in gradient.
tensorflow: Level 1: Registering Floor (<function _FloorGrad at 0x7f6f81a04230>) in gradient.
tensorflow: Level 1: Registering Ceil (<function _CeilGrad at 0x7f6f81a042a8>) in gradient.
tensorflow: Level 1: Registering Round (<function _RoundGrad at 0x7f6f81a04320>) in gradient.
tensorflow: Level 1: Registering Rint (<function _RintGrad at 0x7f6f81a04398>) in gradient.
tensorflow: Level 1: Registering BatchMatMul (<function _BatchMatMul at 0x7f6f81a04410>) in gradient.
tensorflow: Level 1: Registering Range (None) in gradient.
tensorflow: Level 1: Registering LinSpace (None) in gradient.
tensorflow: Level 1: Registering Complex (<function _ComplexGrad at 0x7f6f81a04500>) in gradient.
tensorflow: Level 1: Registering Real (<function _RealGrad at 0x7f6f81a04578>) in gradient.
tensorflow: Level 1: Registering Imag (<function _ImagGrad at 0x7f6f81a04488>) in gradient.
tensorflow: Level 1: Registering Conj (<function _ConjGrad at 0x7f6f81a045f0>) in gradient.
tensorflow: Level 1: Registering ComplexAbs (<function _ComplexAbsGrad at 0x7f6f81a04668>) in gradient.
tensorflow: Level 1: Registering Cast (<function _CastGrad at 0x7f6f81a04758>) in gradient.
tensorflow: Level 1: Registering Cross (<function _CrossGrad at 0x7f6f81a046e0>) in gradient.
tensorflow: Level 1: Registering Cumsum (<function _CumsumGrad at 0x7f6f81a047d0>) in gradient.
tensorflow: Level 1: Registering Cumprod (<function _CumprodGrad at 0x7f6f81a04848>) in gradient.
tensorflow: Level 1: Registering SparseAddGrad (None) in gradient.
tensorflow: Level 1: Registering SparseConcat (None) in gradient.
tensorflow: Level 1: Registering SparseToDense (None) in gradient.
tensorflow: Level 1: Registering SparseReorder (<function _SparseReorderGrad at 0x7f6f81a10500>) in gradient.
tensorflow: Level 1: Registering SparseAdd (<function _SparseAddGrad at 0x7f6f81a10578>) in gradient.
tensorflow: Level 1: Registering SparseTensorDenseAdd (<function _SparseTensorDenseAddGrad at 0x7f6f81a10668>) in gradient.
tensorflow: Level 1: Registering SparseReduceSum (<function _SparseReduceSumGrad at 0x7f6f81a105f0>) in gradient.
tensorflow: Level 1: Registering SparseTensorDenseMatMul (<function _SparseTensorDenseMatMulGrad at 0x7f6f81a106e0>) in gradient.
tensorflow: Level 1: Registering SparseDenseCwiseAdd (<function _SparseDenseCwiseAddGrad at 0x7f6f81a10758>) in gradient.
tensorflow: Level 1: Registering SparseDenseCwiseMul (<function _SparseDenseCwiseMulGrad at 0x7f6f81a10848>) in gradient.
tensorflow: Level 1: Registering SparseDenseCwiseDiv (<function _SparseDenseCwiseDivGrad at 0x7f6f81a108c0>) in gradient.
tensorflow: Level 1: Registering SparseSoftmax (<function _SparseSoftmaxGrad at 0x7f6f81a10938>) in gradient.
tensorflow: Level 1: Registering SparseSparseMaximum (<function _SparseSparseMaximumGrad at 0x7f6f81a109b0>) in gradient.
tensorflow: Level 1: Registering SparseSparseMinimum (<function _SparseSparseMinimumGrad at 0x7f6f81a10a28>) in gradient.
tensorflow: Level 1: Registering FFT (<function _FFTGrad at 0x7f6f81a18410>) in gradient.
tensorflow: Level 1: Registering IFFT (<function _IFFTGrad at 0x7f6f81a18c08>) in gradient.
tensorflow: Level 1: Registering FFT2D (<function _FFT2DGrad at 0x7f6f81a18c80>) in gradient.
tensorflow: Level 1: Registering IFFT2D (<function _IFFT2DGrad at 0x7f6f81a18cf8>) in gradient.
tensorflow: Level 1: Registering FFT3D (<function _FFT3DGrad at 0x7f6f81a18d70>) in gradient.
tensorflow: Level 1: Registering IFFT3D (<function _IFFT3DGrad at 0x7f6f81a18de8>) in gradient.
tensorflow: Level 1: Registering RFFT (<function _Grad at 0x7f6f81a18f50>) in gradient.
tensorflow: Level 1: Registering IRFFT (<function _Grad at 0x7f6f81a1f050>) in gradient.
tensorflow: Level 1: Registering RFFT2D (<function _Grad at 0x7f6f81a1f0c8>) in gradient.
tensorflow: Level 1: Registering IRFFT2D (<function _Grad at 0x7f6f81a1f140>) in gradient.
tensorflow: Level 1: Registering Assign (None) in gradient.
tensorflow: Level 1: Registering AssignAdd (None) in gradient.
tensorflow: Level 1: Registering AssignSub (None) in gradient.
tensorflow: Level 1: Registering ScatterAdd (None) in gradient.
tensorflow: Level 1: Registering ScatterSub (None) in gradient.
tensorflow: Level 1: Registering ScatterMul (None) in gradient.
tensorflow: Level 1: Registering ScatterDiv (None) in gradient.
tensorflow: Level 1: Registering ScatterNdUpdate (None) in gradient.
tensorflow: Level 1: Registering ScatterNdAdd (None) in gradient.
tensorflow: Level 1: Registering ScatterNdSub (None) in gradient.
tensorflow: Level 1: Registering ScatterNdMul (None) in gradient.
tensorflow: Level 1: Registering ScatterNdDiv (None) in gradient.
tensorflow: Level 1: Registering TensorArray (None) in gradient.
tensorflow: Level 1: Registering TensorArrayGrad (None) in gradient.
tensorflow: Level 1: Registering TensorArraySize (None) in gradient.
tensorflow: Level 1: Registering TensorArrayClose (None) in gradient.
tensorflow: Level 1: Registering TensorArrayV2 (None) in gradient.
tensorflow: Level 1: Registering TensorArrayGradV2 (None) in gradient.
tensorflow: Level 1: Registering TensorArraySizeV2 (None) in gradient.
tensorflow: Level 1: Registering TensorArrayCloseV2 (None) in gradient.
tensorflow: Level 1: Registering TensorArrayV3 (None) in gradient.
tensorflow: Level 1: Registering TensorArrayGradV3 (None) in gradient.
tensorflow: Level 1: Registering TensorArraySizeV3 (None) in gradient.
tensorflow: Level 1: Registering TensorArrayCloseV3 (None) in gradient.
tensorflow: Level 1: Registering TensorArrayReadV3 (<function _TensorArrayReadGrad at 0x7f6f81a1faa0>) in gradient.
tensorflow: Level 1: Registering TensorArrayReadV2 (<function _TensorArrayReadGrad at 0x7f6f81a1faa0>) in gradient.
tensorflow: Level 1: Registering TensorArrayRead (<function _TensorArrayReadGrad at 0x7f6f81a1faa0>) in gradient.
tensorflow: Level 1: Registering TensorArrayWriteV3 (<function _TensorArrayWriteGrad at 0x7f6f81a1fb18>) in gradient.
tensorflow: Level 1: Registering TensorArrayWriteV2 (<function _TensorArrayWriteGrad at 0x7f6f81a1fb18>) in gradient.
tensorflow: Level 1: Registering TensorArrayWrite (<function _TensorArrayWriteGrad at 0x7f6f81a1fb18>) in gradient.
tensorflow: Level 1: Registering TensorArrayGatherV3 (<function _TensorArrayGatherGrad at 0x7f6f81a1fb90>) in gradient.
tensorflow: Level 1: Registering TensorArrayGatherV2 (<function _TensorArrayGatherGrad at 0x7f6f81a1fb90>) in gradient.
tensorflow: Level 1: Registering TensorArrayGather (<function _TensorArrayGatherGrad at 0x7f6f81a1fb90>) in gradient.
tensorflow: Level 1: Registering TensorArrayScatterV3 (<function _TensorArrayScatterGrad at 0x7f6f81a1fc08>) in gradient.
tensorflow: Level 1: Registering TensorArrayScatterV2 (<function _TensorArrayScatterGrad at 0x7f6f81a1fc08>) in gradient.
tensorflow: Level 1: Registering TensorArrayScatter (<function _TensorArrayScatterGrad at 0x7f6f81a1fc08>) in gradient.
tensorflow: Level 1: Registering TensorArrayConcatV3 (<function _TensorArrayConcatGrad at 0x7f6f81a1fc80>) in gradient.
tensorflow: Level 1: Registering TensorArrayConcatV2 (<function _TensorArrayConcatGrad at 0x7f6f81a1fc80>) in gradient.
tensorflow: Level 1: Registering TensorArrayConcat (<function _TensorArrayConcatGrad at 0x7f6f81a1fc80>) in gradient.
tensorflow: Level 1: Registering TensorArraySplitV3 (<function _TensorArraySplitGrad at 0x7f6f81a1fcf8>) in gradient.
tensorflow: Level 1: Registering TensorArraySplitV2 (<function _TensorArraySplitGrad at 0x7f6f81a1fcf8>) in gradient.
tensorflow: Level 1: Registering TensorArraySplit (<function _TensorArraySplitGrad at 0x7f6f81a1fcf8>) in gradient.
tensorflow: Level 1: Registering SymbolicGradient (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering Switch (<function _SwitchGrad at 0x7f6f819ca398>) in gradient.
tensorflow: Level 1: Registering RefSwitch (<function _SwitchGrad at 0x7f6f819ca398>) in gradient.
tensorflow: Level 1: Registering Merge (<function _MergeGrad at 0x7f6f819e3c80>) in gradient.
tensorflow: Level 1: Registering RefMerge (<function _RefMergeGrad at 0x7f6f819e3c08>) in gradient.
tensorflow: Level 1: Registering Exit (<function _ExitGrad at 0x7f6f819e3d70>) in gradient.
tensorflow: Level 1: Registering RefExit (<function _ExitGrad at 0x7f6f819e3d70>) in gradient.
tensorflow: Level 1: Registering NextIteration (<function _NextIterationGrad at 0x7f6f819e3cf8>) in gradient.
tensorflow: Level 1: Registering RefNextIteration (<function _RefNextIterationGrad at 0x7f6f819e3de8>) in gradient.
tensorflow: Level 1: Registering Enter (<function _EnterGrad at 0x7f6f819e3e60>) in gradient.
tensorflow: Level 1: Registering RefEnter (<function _RefEnterGrad at 0x7f6f819e3ed8>) in gradient.
tensorflow: Level 1: Registering LoopCond (<function _LoopCondGrad at 0x7f6f819e3f50>) in gradient.
tensorflow: Level 1: Registering ResizeNearestNeighbor (<function _ResizeNearestNeighborGrad at 0x7f6f81979230>) in gradient.
tensorflow: Level 1: Registering ResizeBilinear (<function _ResizeBilinearGrad at 0x7f6f819740c8>) in gradient.
tensorflow: Level 1: Registering CropAndResize (<function _CropAndResizeGrad at 0x7f6f81974140>) in gradient.
tensorflow: Level 1: Registering MatrixInverse (<function _MatrixInverseGrad at 0x7f6f81974230>) in gradient.
tensorflow: Level 1: Registering MatrixDeterminant (<function _MatrixDeterminantGrad at 0x7f6f81974938>) in gradient.
tensorflow: Level 1: Registering Cholesky (<function _CholeskyGrad at 0x7f6f819749b0>) in gradient.
tensorflow: Level 1: Registering MatrixSolve (<function _MatrixSolveGrad at 0x7f6f81974aa0>) in gradient.
tensorflow: Level 1: Registering MatrixSolveLs (<function _MatrixSolveLsGrad at 0x7f6f81974a28>) in gradient.
tensorflow: Level 1: Registering MatrixTriangularSolve (<function _MatrixTriangularSolveGrad at 0x7f6f81974b18>) in gradient.
tensorflow: Level 1: Registering SelfAdjointEigV2 (<function _SelfAdjointEigV2Grad at 0x7f6f81974b90>) in gradient.
tensorflow: Level 1: Registering Print (<function _PrintGrad at 0x7f6f81974c80>) in gradient.
tensorflow: Level 1: Registering HistogramSummary (None) in gradient.
tensorflow: Level 1: Registering ImageSummary (None) in gradient.
tensorflow: Level 1: Registering AudioSummary (None) in gradient.
tensorflow: Level 1: Registering AudioSummaryV2 (None) in gradient.
tensorflow: Level 1: Registering MergeSummary (None) in gradient.
tensorflow: Level 1: Registering ScalarSummary (None) in gradient.
tensorflow: Level 1: Registering ReaderRead (None) in gradient.
tensorflow: Level 1: Registering ReaderReadUpTo (None) in gradient.
tensorflow: Level 1: Registering ReaderNumRecordsProduced (None) in gradient.
tensorflow: Level 1: Registering ReaderNumWorkUnitsCompleted (None) in gradient.
tensorflow: Level 1: Registering ReaderSerializeState (None) in gradient.
tensorflow: Level 1: Registering ReaderRestoreState (None) in gradient.
tensorflow: Level 1: Registering ReaderReset (None) in gradient.
tensorflow: Level 1: Registering WholeFileReader (None) in gradient.
tensorflow: Level 1: Registering TextLineReader (None) in gradient.
tensorflow: Level 1: Registering FixedLengthRecordReader (None) in gradient.
tensorflow: Level 1: Registering TFRecordReader (None) in gradient.
tensorflow: Level 1: Registering IdentityReader (None) in gradient.
tensorflow: Level 1: Registering StringToHashBucket (None) in gradient.
tensorflow: Level 1: Registering StringToHashBucketFast (None) in gradient.
tensorflow: Level 1: Registering StringToHashBucketStrong (None) in gradient.
tensorflow: Level 1: Registering ReduceJoin (None) in gradient.
tensorflow: Level 1: Registering StringJoin (None) in gradient.
tensorflow: Level 1: Registering StringSplit (None) in gradient.
tensorflow: Level 1: Registering AsString (None) in gradient.
tensorflow: Level 1: Registering EncodeBase64 (None) in gradient.
tensorflow: Level 1: Registering DecodeBase64 (None) in gradient.
tensorflow: Level 1: Registering LookupTableFind (None) in gradient.
tensorflow: Level 1: Registering LookupTableFindV2 (None) in gradient.
tensorflow: Level 1: Registering LookupTableInsert (None) in gradient.
tensorflow: Level 1: Registering LookupTableInsertV2 (None) in gradient.
tensorflow: Level 1: Registering LookupTableSize (None) in gradient.
tensorflow: Level 1: Registering LookupTableSizeV2 (None) in gradient.
tensorflow: Level 1: Registering HashTable (None) in gradient.
tensorflow: Level 1: Registering HashTableV2 (None) in gradient.
tensorflow: Level 1: Registering InitializeTable (None) in gradient.
tensorflow: Level 1: Registering InitializeTableV2 (None) in gradient.
tensorflow: Level 1: Registering InitializeTableFromTextFile (None) in gradient.
tensorflow: Level 1: Registering InitializeTableFromTextFileV2 (None) in gradient.
tensorflow: Level 1: Registering MutableDenseHashTable (None) in gradient.
tensorflow: Level 1: Registering MutableDenseHashTableV2 (None) in gradient.
tensorflow: Level 1: Registering MutableHashTable (None) in gradient.
tensorflow: Level 1: Registering MutableHashTableV2 (None) in gradient.
tensorflow: Level 1: Registering MutableHashTableOfTensors (None) in gradient.
tensorflow: Level 1: Registering MutableHashTableOfTensorsV2 (None) in gradient.
tensorflow: Level 1: Registering DecodeRaw (None) in gradient.
tensorflow: Level 1: Registering ParseTensor (None) in gradient.
tensorflow: Level 1: Registering StringToNumber (None) in gradient.
tensorflow: Level 1: Registering PyFunc (None) in gradient.
tensorflow: Level 1: Registering PyFuncStateless (None) in gradient.
tensorflow: Level 1: Registering TensorSummary (None) in gradient.
tensorflow: Level 1: Registering savers ((<class 'tensorflow.core.protobuf.saver_pb2.SaverDef'>, <unbound method Saver.to_proto>, <function from_proto at 0x7f6f81805410>)) in proto functions.
tensorflow: Level 1: Registering queue_runners ((<class 'tensorflow.core.protobuf.queue_runner_pb2.QueueRunnerDef'>, <unbound method QueueRunner.to_proto>, <function from_proto at 0x7f6f817df848>)) in proto functions.
tensorflow: Level 1: Registering Conv2D,flops (<function _calc_conv_flops at 0x7f6f817342a8>) in statistical functions.
tensorflow: Level 1: Registering DepthwiseConv2dNative,flops (<function _calc_depthwise_conv_flops at 0x7f6f817266e0>) in statistical functions.
tensorflow: Level 1: Registering BiasAdd,flops (<function _calc_bias_add_flops at 0x7f6f81726758>) in statistical functions.
tensorflow: Level 1: Registering Dilation2D,flops (<function _calc_dilation2d_flops at 0x7f6f81726a28>) in statistical functions.
tensorflow: Level 1: Registering Conv2DBackpropInput (<function _Conv2DBackpropInputGrad at 0x7f6f81726b18>) in gradient.
tensorflow: Level 1: Registering Conv2DBackpropFilter (<function _Conv2DBackpropFilterGrad at 0x7f6f81726b90>) in gradient.
tensorflow: Level 1: Registering Conv3D (<function _Conv3DGrad at 0x7f6f81726c08>) in gradient.
tensorflow: Level 1: Registering Conv3DBackpropInputV2 (<function _Conv3DBackpropInputGrad at 0x7f6f81726c80>) in gradient.
tensorflow: Level 1: Registering Conv3DBackpropFilterV2 (<function _Conv3DBackpropFilterGrad at 0x7f6f81726cf8>) in gradient.
tensorflow: Level 1: Registering AvgPool3D (<function _AvgPool3DGrad at 0x7f6f81726d70>) in gradient.
tensorflow: Level 1: Registering AvgPool3DGrad (<function _AvgPool3DGradGrad at 0x7f6f81726e60>) in gradient.
tensorflow: Level 1: Registering MaxPool3D (<function _MaxPool3DGrad at 0x7f6f81726de8>) in gradient.
tensorflow: Level 1: Registering MaxPool3DGrad (<function _MaxPool3DGradGrad at 0x7f6f81726f50>) in gradient.
tensorflow: Level 1: Registering MaxPool3DGradGrad (<function _MaxPool3DGradGradGrad at 0x7f6f81726ed8>) in gradient.
tensorflow: Level 1: Registering Softmax (<function _SoftmaxGrad at 0x7f6f8172a050>) in gradient.
tensorflow: Level 1: Registering LogSoftmax (<function _LogSoftmaxGrad at 0x7f6f8172a140>) in gradient.
tensorflow: Level 1: Registering BiasAdd (<function _BiasAddGrad at 0x7f6f8172a1b8>) in gradient.
tensorflow: Level 1: Registering BiasAddGrad (<function _BiasAddGradGrad at 0x7f6f8172a230>) in gradient.
tensorflow: Level 1: Registering BiasAddV1 (<function _BiasAddGradV1 at 0x7f6f8172a0c8>) in gradient.
tensorflow: Level 1: Registering Relu (<function _ReluGrad at 0x7f6f8172a320>) in gradient.
tensorflow: Level 1: Registering EluGrad (<function _EluGradGrad at 0x7f6f8172a2a8>) in gradient.
tensorflow: Level 1: Registering Relu6 (<function _Relu6Grad at 0x7f6f8172a410>) in gradient.
tensorflow: Level 1: Registering Elu (<function _EluGrad at 0x7f6f8172a398>) in gradient.
tensorflow: Level 1: Registering Softplus (<function _SoftplusGrad at 0x7f6f8172a488>) in gradient.
tensorflow: Level 1: Registering SoftplusGrad (<function _SoftplusGradGrad at 0x7f6f8172a578>) in gradient.
tensorflow: Level 1: Registering Softsign (<function _SoftsignGrad at 0x7f6f8172a500>) in gradient.
tensorflow: Level 1: Registering ReluGrad (<function _ReluGradGrad at 0x7f6f8172a668>) in gradient.
tensorflow: Level 1: Registering SoftmaxCrossEntropyWithLogits (<function _SoftmaxCrossEntropyWithLogitsGrad at 0x7f6f8172a5f0>) in gradient.
tensorflow: Level 1: Registering SparseSoftmaxCrossEntropyWithLogits (<function _SparseSoftmaxCrossEntropyWithLogitsGrad at 0x7f6f8172a758>) in gradient.
tensorflow: Level 1: Registering Conv2D (<function _Conv2DGrad at 0x7f6f8172a7d0>) in gradient.
tensorflow: Level 1: Registering DepthwiseConv2dNative (<function _DepthwiseConv2dNativeGrad at 0x7f6f8172a848>) in gradient.
tensorflow: Level 1: Registering Dilation2D (<function _Dilation2DGrad at 0x7f6f8172a8c0>) in gradient.
tensorflow: Level 1: Registering LRN (<function _LRNGrad at 0x7f6f8172a9b0>) in gradient.
tensorflow: Level 1: Registering AvgPool (<function _AvgPoolGrad at 0x7f6f8172a938>) in gradient.
tensorflow: Level 1: Registering AvgPoolGrad (<function _AvgPoolGradGrad at 0x7f6f8172aaa0>) in gradient.
tensorflow: Level 1: Registering MaxPool (<function _MaxPoolGrad at 0x7f6f8172aa28>) in gradient.
tensorflow: Level 1: Registering MaxPoolWithArgmax (<function _MaxPoolGradWithArgmax at 0x7f6f8172ab90>) in gradient.
tensorflow: Level 1: Registering MaxPoolGrad (<function _MaxPoolGradGrad at 0x7f6f8172ab18>) in gradient.
tensorflow: Level 1: Registering MaxPoolGradGrad (<function _MaxPoolGradGradGrad at 0x7f6f8172ac08>) in gradient.
tensorflow: Level 1: Registering FractionalMaxPool (<function _FractionalMaxPoolGrad at 0x7f6f8172ac80>) in gradient.
tensorflow: Level 1: Registering FractionalAvgPool (<function _FractionalAvgPoolGrad at 0x7f6f8172acf8>) in gradient.
tensorflow: Level 1: Registering BatchNormWithGlobalNormalization (<function _BatchNormWithGlobalNormalizationGrad at 0x7f6f8172ad70>) in gradient.
tensorflow: Level 1: Registering FusedBatchNorm (<function _FusedBatchNormGrad at 0x7f6f8172ade8>) in gradient.
tensorflow: Level 1: Registering L2Loss (<function _L2LossGrad at 0x7f6f8172ae60>) in gradient.
tensorflow: Level 1: Registering TopKV2 (<function _TopKGrad at 0x7f6f8172aed8>) in gradient.
tensorflow: Level 1: Registering TopK (<function _TopKGrad at 0x7f6f8172aed8>) in gradient.
tensorflow: Level 1: Registering CTCLoss (<function _CTCLossGrad at 0x7f6f816af050>) in gradient.
tensorflow: Level 1: Registering CTCGreedyDecoder (None) in gradient.
tensorflow: Level 1: Registering CTCBeamSearchDecoder (None) in gradient.
tensorflow: Level 1: Registering SetSize (None) in gradient.
tensorflow: Level 1: Registering DenseToDenseSetOperation (None) in gradient.
tensorflow: Level 1: Registering DenseToSparseSetOperation (None) in gradient.
tensorflow: Level 1: Registering SparseToSparseSetOperation (None) in gradient.
tensorflow: Level 1: Registering SdcaFprint (None) in gradient.
tensorflow: Level 1: Registering SdcaOptimizer (None) in gradient.
tensorflow: Level 1: Registering SdcaShrinkL1 (None) in gradient.
matplotlib: DEBUG: $HOME=/home/ec2-user
matplotlib: DEBUG: matplotlib data path /home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/matplotlib/mpl-data
matplotlib: DEBUG: loaded rc file /home/ec2-user/Projects/CIP-build/CIPPython-install/lib/python2.7/site-packages/matplotlib/mpl-data/matplotlibrc
matplotlib: DEBUG: matplotlib version 2.2.2
matplotlib: DEBUG: interactive is False
matplotlib: DEBUG: platform is linux2
matplotlib: DEBUG: loaded modules: ['tensorflow.python.ops.spectral_ops', 'pandas._libs.ops', 'email.MIMEAudio', 'pandas.io.urllib2', 'numpy.core.info', 'pandas.core.arrays.categorical', 'nose.plugins.doctest', 'tensorflow.python.ops.gen_linalg_ops', 'nose.plugins.tempfile', 'pandas.core.indexes.pandas', 'ctypes.os', 'pandas.core.groupby.numpy', 'hotshot.warnings', 'hotshot.stats', 'gc', 'tensorflow.python.summary', 'pandas.core.indexes.numpy', 'pandas._libs.tslibs.locale', 'pkg_resources._vendor.traceback', 'google.protobuf.internal.warnings', 'nose.plugins.attrib', 'pandas._libs.tslibs.parsing', 'numpy.random.threading', 'tensorflow.python.training.momentum', 'logging.weakref', 'pandas._libs.tslibs.nattype', 'tensorflow.python.estimator.inputs.queues.feeding_functions', 'pandas.core.indexes.__future__', 'dateutil.tz.os', 'pprint', 'nose.plugins.logcapture', 'pandas.compat.numpy', 'pandas.core.dtypes.pandas', 'cip_python.dcnn.metrics', 'pandas.core.warnings', 'nose.new', 'pandas.plotting.numpy', 'unittest.sys', 'numpy.core.umath', 'h5py.version', 'h5py.h5py', 'nose.os', 'tensorflow.core.protobuf.config_pb2', 'pandas.core.dtypes.common', 'pandas.tseries.dateutil', 'pandas.core.tokenize', 'string', 'h5py.numpy', 'dateutil.parser._parser', 'numpy.lib.arraysetops', 'tensorflow.python.saved_model.signature_def_utils_impl', 'nose.plugins.__builtin__', 'encodings.utf_8', 'tensorflow.python.estimator.export.export_output', 'pandas.util.warnings', 'email.quoprimime', 'numpy.ctypeslib', 'dateutil.parser.decimal', 'pandas.io.contextlib', 'json.encoder', 'pandas.plotting.re', 'subprocess', 'pytz.struct', 'numpy.core.machar', '_ast', 'pytz.pytz', 'tensorflow.python.ops.gen_array_ops', 'nose.plugins.optparse', 'keras.backend.numpy', 'email.codecs', 'pandas.core.dtypes.numbers', 'pandas.core.util.numpy', 'numpy.ma.extras', 'numpy.fft.fftpack_lite', 'tensorflow.python.ops.gradients', 'google.protobuf.internal', 'multiprocessing.pool', 'pandas.io.formats.sys', 'matplotlib.sys', 'tensorflow.python.layers', 'multiprocessing', 'dis', 'tensorflow.python.ops.state_grad', 'numpy.lib', 'logging.threading', 'pandas.compat.sys', 'tensorflow.python.training.summary_io', 'pkg_resources._vendor.pprint', 'nose.plugins.multiprocessing', 'tensorflow.python.training.device_setter', '_json', 'pandas._libs.tslibs.re', 'tensorflow.python.util.decorator_utils', 'pandas._libs.tslibs.textwrap', 'pandas.compat.itertools', 'tensorflow.python.saved_model', 'hotshot.profile', 'pandas.core.indexes.frozen', 'matplotlib.cbook.warnings', 'numpy.testing._private.pytesttester', 'pyparsing', 'matplotlib.cbook.textwrap', 'pkg_resources.extern.appdirs', '_thread', 'hotshot.hotshot', 'pkg_resources._vendor.collections', 'dateutil.parser.warnings', 'pandas.plotting.contextlib', 'numpy._globals', 'numpy.lib.npyio', 'xml.sax.io', 'tensorflow.python.estimator.inputs.inputs', 'email.random', 'h5py.h5fd', 'tensorflow.python.ops.gen_nn_ops', 'nose.tools.unittest', 'nose.plugins.re', 'pandas.core.sparse', 'numpy.fft.helper', 'tensorflow.core.example.example_pb2', 'tensorflow.python.framework.function', 'hotshot.log', 'nose.plugins.sys', 'ctypes.tempfile', 'optparse', 'unittest.suite', 'tensorflow.python.framework.framework_lib', 'keras.utils.io_utils', '_ctypes', 'tensorflow.python.platform.tf_logging', 'glob', 'exceptions', 'json.scanner', 'pandas.core.util.itertools', 'tensorflow.python.ops.ctc_ops', 'tensorflow.python.ops.summary_ops', 'codecs', 'tensorflow.python.ops.google', 'numpy.os', 'pandas._libs.join', 'mkl_fft._numpy_fft', '_cython_0_28_4', 'dateutil.warnings', 'tensorflow.python.ops.gen_ctc_ops', 'google.protobuf.text_encoding', 'email.socket', 'multiprocessing.dummy.array', 'StringIO', 'tensorflow.python.layers.base', '_hotshot', 'pkg_resources', 'weakref', 'numpy.core._internal', 'doctest', 'pandas.core.missing', 'tensorflow.python.saved_model.builder', 'distutils.sys', 'numpy.lib.arraypad', 'pandas._libs.tslibs.StringIO', 'tensorflow.python.util.nest', 'base64', 'tensorflow.core.util.google', 'dateutil.parser.isoparser', 'pandas._libs.tslibs.ccalendar', '_sre', 'tensorflow.python.lib.io.tf_record', 'tensorflow.python.framework.op_def_library', 'pandas.core.indexes.interval', 'pandas.core.functools', 'email.FeedParser', 'tensorflow.python.training.google', 'h5py.sys', 'pandas.core.dtypes.collections', 'email.charset', 'pandas.compat.numpy.numpy', 'tensorflow.core.protobuf.meta_graph_pb2', 'pkg_resources._vendor.datetime', 'tensorflow.python.ops.confusion_matrix', 'select', 'ctypes._ctypes', '_heapq', 'google.protobuf.internal.wire_format', 'six.moves.urllib', 'pandas._libs.tslibs.resolution', 'numpy.lib.financial', 'pandas.util.types', 'pandas.errors.pandas', 'tensorflow.python.training.gradient_descent', 'pandas._libs.decimal', 'binascii', 'nose.plugins.os', 'pandas._libs.tslibs.timedeltas', 'email.MIMEMessage', 'email._parseaddr', 'email.sys', 'tensorflow.python.numpy', 'hotshot.parser', 'unittest.fnmatch', 'pandas.plotting.dateutil', 'dateutil.tz._common', 'tensorflow.python.framework.ops', 'pkg_resources._vendor.six.moves.urllib', 'six.moves.urllib.error', 'numpy.polynomial.chebyshev', 'h5py._hl', 'pkg_resources.extern.six.moves.urllib', 'cPickle', 'tensorflow.core.protobuf.saver_pb2', 'h5py._errors', 'numpy.polynomial.hermite_e', 'tensorflow.python.ops.data_flow_grad', 'h5py._hl.datatype', 'pandas.compat.collections', 'tensorflow.python.ops.metrics', 'google.protobuf.internal.datetime', 'pandas.compat.numpy.re', 'tensorflow.python.estimator', 'pandas.core.indexes.operator', '_posixsubprocess32', 'pandas.compat.distutils', 'tensorflow.python.ops.special_math_ops', 'pandas.datetime', 'pandas._libs.operator', 'pandas.core.accessor', 'pandas.core.tools.timedeltas', 'distutils.sysconfig', 'keras.backend', 'tensorflow.core.framework.op_def_pb2', 'h5py.functools', 'numpy.core.fromnumeric', 'unicodedata', 'nose.plugins', 'matplotlib._version', 'nose.plugins.xml', 'multiprocessing.collections', 'tensorflow.python.training.rmsprop', 'pandas.tseries.functools', 'pkg_resources.os', 'tensorflow.python.ops.tensor_array_grad', 'tensorflow.python.ops.gen_functional_ops', 'pkg_resources._vendor.copy', 'encodings.aliases', 'pandas._libs.distutils', 'tensorflow.python.ops.collections', 'fnmatch', 'sre_parse', 'pandas.io.formats.locale', 'pickle', 'pandas.tseries', 'tensorflow.python.ops.string_ops', 'numpy.random.warnings', 'xml.sax.types', 'pandas.io.mmap', 'pandas.util.inspect', 'pandas._libs.sparse', 'logging.cStringIO', 'tensorflow.python.ops.gen_state_ops', 'pandas.core.codecs', 'nose.time', 'multiprocessing.dummy.threading', 'numpy.lib.polynomial', 'numpy.compat', 'google.protobuf.pyext._message', 'pkg_resources._vendor.os', 'pkg_resources.extern.six', 'numbers', 'nose.pyversion', 'tensorflow.python.estimator.inputs.numpy_io', 'pandas.tseries.datetime', 'numpy.core.records', 'tensorflow.core.framework.tensor_description_pb2', 'pandas.core.keyword', 'email.message', 'email.Header', 'pandas.core.indexes.multi', 'email.MIMEBase', 'strop', 'numpy.core.numeric', 'tensorflow.core.framework.versions_pb2', 'six', 'pandas._libs.tslibs.datetime', 'pandas._libs.tslibs.timestamps', 'google.protobuf', 'tensorflow.python.ops.rnn', 'pandas.core.groupby.copy', 'matplotlib.testing', 'tensorflow.python.ops.variable_scope', 'pandas.core.copy', 'tensorflow.python.ops.array_grad', 'tensorflow.python.ops.script_ops', 'pandas.core.arrays.pandas', 'profile', 'pandas.core.groupby.warnings', 'tensorflow.python.training.session_run_hook', 'tensorflow.python.training.tensorflow', 'tensorflow.python.saved_model.constants', 'ctypes.util', 'nose.tools', 'h5py._hl.sys', 'tensorflow.python.lib.io.python_io', 'numpy.linalg.lapack_lite', 'pandas.plotting._converter', 'numpy.core._multiarray_tests', 'google.protobuf.operator', 'pandas.compat.unicodedata', 'multiprocessing.sys', 'numpy.lib.arrayterator', 'email.parser', 'tensorflow.python.framework.errors_impl', 'pkg_resources._vendor.__builtin__', 'os.path', 'tensorflow.python.util.tf_should_use', 'pandas.core.collections', 'tensorflow.python.ops.math_grad', 'nose.sys', 'pkg_resources.extern.packaging.specifiers', 'tensorflow.python.platform.gfile', 'email.base64mime', 'tensorflow.python.training.sync_replicas_optimizer', 'google.protobuf.descriptor_database', 'pytz.tzinfo', 'tensorflow.python.framework.errors', 'pandas._libs.lib', '_weakrefset', 'nose.plugins.plugintest', 'unittest.traceback', 'tensorflow.python.framework.importer', 'dateutil.parser.datetime', 'tensorflow.python.pywrap_tensorflow_internal', 'unittest.os', 'h5py._hl.selections2', 'numpy.version', 'functools', 'pkg_resources._vendor.weakref', 'google.protobuf.message', 'pandas.core.base', 'sysconfig', 'email.MIMEImage', 'tensorflow.python.util.tf_inspect', 'tensorflow.core.framework.tensor_pb2', 'pkg_resources._vendor._thread', 'tensorflow.python.estimator.export.export_lib', 'pandas.core.groupby.pandas', 'h5py._hl.base', 'pandas.plotting.warnings', 'pandas.core.indexes.period', 'email.MIMEText', 'numpy.polynomial.legendre', 'nose.plugins.testid', 'tensorflow.python.training.adagrad_da', 'nose.itertools', '_bisect', 'uuid', 'numpy.matrixlib.defmatrix', 'tempfile', 'tensorflow.python.ctypes', 'pandas.core.operator', 'pandas._libs', 'tensorflow.core.framework.variable_pb2', 'imp', 'pkg_resources._vendor', 'pandas.core.indexes.textwrap', 'multiprocessing.os', 'multiprocessing.dummy.weakref', 'tensorflow.python.framework.graph_io', 'multiprocessing.itertools', 'pandas.io.formats.printing', 'nose.plugins.cover', 'tensorflow.python.framework.subscribe', 'pandas.util.pandas', 'distutils.string', 'unittest.time', 'pandas.core.sparse.warnings', 'numpy.linalg.info', 'unittest.functools', 'google.protobuf.message_factory', 'pkg_resources._vendor.six', 'tensorflow.python.saved_model.utils', 'unittest.util', 'pandas._libs.tslibs.time', 'pkg_resources.errno', 'google.protobuf.io', 'google.protobuf.internal.struct', 'email.urllib', 'tensorflow.python.ops.logging_ops', 'pandas.core.dtypes.numpy', 'pandas.core.indexes.accessors', 'tensorflow.python.training.checkpoint_state_pb2', 'httplib', 'csv', 'pandas._libs.properties', 'unittest.StringIO', 'pytz.collections', 'h5py.operator', 'decimal', 'pandas.io.common', 'numpy.lib._datasource', 'dateutil.tz.datetime', 'token', 'email.encoders', 'tensorflow.python.ops.io_ops', 'dateutil.operator', 'h5py', 'multiprocessing.dummy.multiprocessing', 'tensorflow.python.training.moving_averages', 'tensorflow.python.estimator.run_config', 'numpy.linalg._umath_linalg', 'dateutil.tz.struct', 'cStringIO', 'cmd', 'nose.plugins.signal', 'numpy.add_newdocs', 'pandas.core.api', 'multiprocessing.process', 'pkg_resources.extern.packaging.requirements', 'tensorflow.python.ops.init_ops', 'tensorflow.python.tensorflow', 'nose.loader', 'pandas.core.dtypes.concat', 'nose.traceback', 'dateutil.six', 'nose.plugins.doctests', 'pandas._libs.tslibs.frequencies', 'tensorflow.python.training.optimizer', 'h5py._conv', 'tensorflow.python.framework.google', 'tensorflow.python.summary.writer.writer', 'tensorflow.python.estimator.export', 'numpy.lib.numpy', 'pkg_resources._vendor.packaging.__about__', 're', 'pandas.core.dtypes.missing', 'nose.plugins.traceback', 'email.quopri', 'pandas._libs.tslibs.conversion', 'keras.backend.tensorflow_backend', 'tensorflow.python.training.coordinator', 'dateutil.relativedelta', 'math', 'tensorflow.python.ops.variables', 'google.protobuf.uuid', 'pandas._libs.indexing', 'matplotlib.rcsetup', 'ast', 'dateutil.tz.six', 'h5py._hl.six', 'tensorflow.python.training.monitored_session', 'tensorflow.python.training.queue_runner_impl', 'numpy.lib.ufunclike', 'dateutil.tz.tz', 'nose.tools.nontrivial', 'ctypes.struct', 'pandas.core.weakref', 'tensorflow.python.ops.partitioned_variables', 'tensorflow.core.framework.types_pb2', 'numpy.testing._private', 'matplotlib.json', 'pandas.core.strings', '_locale', 'tensorflow.python.training.proximal_adagrad', 'logging', 'thread', 'pandas.compat.functools', 'matplotlib.cbook', 'pandas.compat.numpy.distutils', 'traceback', 'pandas.compat.StringIO', 'nose.plugins.failuredetail', 'pandas._libs.tslibs.period', 'tensorflow.core.framework.google', 'pandas.core.sys', 'numpy.core', 'errno', 'multiprocessing.util', 'pandas.tseries.operator', 'pandas._libs.numbers', 'pandas.io.formats.os', 'pkg_resources._vendor.packaging.markers', 'pkg_resources._vendor.packaging.version', 'pandas.core.dtypes.generic', 'pandas.core.pandas', 'ctypes.re', 'pandas.core.indexes.timedeltas', '_collections', 'pandas.compat.numpy.pandas', 'xml.sax.sys', 'nose.optparse', 'tensorflow.core.protobuf.saved_model_pb2', 'tensorflow.python.framework.cpp_shape_inference_pb2', 'pandas.util.functools', 'numpy._mklinit', 'numpy.lib.twodim_base', 'tensorflow.python.traceback', 'pandas.compat.httplib', 'pandas.core.indexes.warnings', 'google.protobuf.json', 'pandas.core.tools.collections', 'array', 'email.Errors', 'tensorflow.python.client', 'nose.plugins.deprecated', 'ctypes.sys', 'keras.utils.np_utils', 'posixpath', 'pandas.compat.pandas', 'tensorflow.python.ops.control_flow_ops', 'pandas.plotting.collections', 'pkg_resources._vendor.packaging._compat', 'pytz.exceptions', 'numpy.core.arrayprint', 'tensorflow.core.example.feature_pb2', 'nose.nose', 'types', 'tensorflow.python.lib.io.file_io', 'numpy.lib.stride_tricks', 'tensorflow.python.summary.writer', 'numpy.lib.scimath', 'pandas.core.indexes.category', 'tensorflow.python.ops.gen_io_ops', 'json._json', 'xml.sax.os', 'pandas.tseries.pandas', 'tensorflow.python.framework.tensor_util', 'pandas.io.formats.terminal', 'pandas.io.codecs', '_codecs', 'tensorflow.core.framework.cost_graph_pb2', 'nose.core', 'pandas._libs.hashtable', 'email.feedparser', 'tensorflow.core.framework.attr_value_pb2', 'tensorflow.core.framework.node_def_pb2', 'pandas.core.tools.datetimes', 'pandas.compat.types', 'h5py._proxy', 'tensorflow.python.ops.candidate_sampling_ops', 'pandas.tseries.pytz', 'pandas.io', 'tensorflow.python.ops.gen_candidate_sampling_ops', 'email.time', 'hashlib', 'pandas.plotting._style', 'keyword', 'tensorflow.python.ops.gen_spectral_ops', 'tensorflow.python.training.ftrl', 'pkg_resources._vendor.pyparsing', 'tensorflow.python.ops.gen_image_ops', 'numpy.lib.nanfunctions', 'xml.sax.saxutils', 'unittest.weakref', 'posix', 'h5py.h5ac', 'nose.selector', 'pandas.core.groupby.groupby', 'tensorflow.core.framework.allocation_description_pb2', 'tensorflow.python.ops.control_flow_grad', 'tensorflow.python.summary.writer.event_file_writer', 'tensorflow.python.ops.resources', 'pandas.core.indexes.range', 'sre_compile', 'pkg_resources._vendor.threading', 'tensorflow.python.ops.spectral_grad', '_hashlib', 'pandas.tseries.offsets', 'tensorflow.python.ops.linalg_ops', 'pandas.core.arrays.numpy', 'numpy.lib.shape_base', 'numpy._import_tools', 'logging.collections', '_csv', 'email.base64', 'encodings.string_escape', 'nose.plugins.threading', 'nose.plugins.unittest', 'multiprocessing.atexit', 'cip_python.dcnn', 'h5py._hl.codecs', 'tensorflow.python.training.evaluation', 'numpy.sys', 'pandas.core.tools.numpy', 'dateutil._version', 'matplotlib._color_data', 'unittest.result', 'bz2', 'tensorflow.python.ops.gen_lookup_ops', 'dateutil.parser', 'pandas.core.arrays.base', 'h5py._hl.dataset', 'nose.config', 'encodings.codecs', 'google.protobuf.os', 'tensorflow.python.ops.gen_data_flow_ops', 'tensorflow.core.util', 'tensorflow.python.ops.gen_set_ops', 'pandas.plotting._misc', 'email.MIMEMultipart', 'tensorflow.python.framework.constant_op', 'pandas.core.util.pandas', 'cip_python.dcnn.os', 'tensorflow.python.framework.dtypes', 'email.string', 'pandas._libs.tslibs.offsets', 'unittest.difflib', '_ssl', 'google.protobuf.math', 'numpy.lib.index_tricks', 'tensorflow.python.framework.tensorflow', 'warnings', 'pytz.threading', 'tensorflow.python.estimator.estimator_lib', 'encodings.ascii', 'tensorflow.core.example.google', 'pandas.core.indexes.datetimelike', 'google.protobuf.internal.type_checkers', 'tensorflow.python.importlib', 'gzip', 'pandas.compat.struct', 'abc', 'tensorflow.python.ops.tensor_array_ops', 'pandas.core.dtypes.dtypes', 'pandas.core.groupby.functools', 'dateutil.easter', 'numpy.__config__', 'nose.plugins.StringIO', 'pandas.core.indexes.datetimes', 'tensorflow.python.sys', 'pandas.core.algorithms', 'pandas.compat.cStringIO', 'multiprocessing._multiprocessing', 'h5py._hl.filters', 'dateutil.parser.calendar', 'tensorflow.python.ops.rnn_cell_impl', 'google.protobuf.pyext.cpp_message', 'bdb', 'pkg_resources.extern.six.moves', 'nose.tools.trivial', 'google.protobuf.internal.api_implementation', 'tensorflow.python.ops.state_ops', 'h5py.collections', 'nose.plugins.pickle', 'tensorflow.python.ops.sparse_grad', 'pandas.plotting.__future__', 'numpy.linalg.linalg', 'nose.plugins.debug', 'nose.ConfigParser', 'tensorflow.python.ops.numerics', 'numpy.lib._iotools', 'email.iterators', 'tensorflow.python.ops.data_flow_ops', 'pandas.core.frame', 'pandas.core.dtypes.re', 'cycler', 'tarfile', 'google.protobuf.internal.os', 'random', 'tensorflow.python.ops.gen_sdca_ops', 'unittest.types', 'nose.plugins.isolate', 'datetime', 'pandas.core.sparse.pandas', 'pandas.core.groupby.collections', 'tensorflow.core.protobuf.queue_runner_pb2', 'pandas._libs.pandas', 'h5py.h5s', 'logging.os', 'ctypes._endian', 'encodings.encodings', 'unittest.pprint', 'h5py.h5r', 'encodings.unicode_escape', 'nose.cStringIO', 'numpy.random.mtrand', 'xml', '_cython_0_28_3', 'copy', 'importlib', 'nose.stat', 'h5py.h5l', 'h5py.h5ds', 'six.moves.urllib.request', 'keras.utils', 'tensorflow.core.framework.function_pb2', 'pkg_resources._vendor.warnings', 'tensorflow.python.framework.device', 'logging.thread', 'tensorflow.python.saved_model.builder_impl', 'google.protobuf.internal.numbers', 'pandas.core.groupby', 'pandas.plotting._core', 'tensorflow.python.ops.gen_script_ops', 'numpy.lib._version', 'pandas.util', 'pandas.io.httplib', 'nose.plugins.__future__', 'keras', 'tensorflow.python.training.learning_rate_decay', 'tensorflow.python.estimator.export.export', 'zipfile', 'repr', 'tensorflow.python.estimator.estimator', 'ssl', 'google.protobuf.six', 'dateutil.parser.dateutil', 'pytz.datetime', 'hotshot', 'new', 'distutils.re', 'nose.plugins.errorclass', 'pytz.UserDict', 'nose.plugins.inspect', 'nose.plugins.pkg_resources', 'pandas.core.series', 'numpy.lib.type_check', 'pandas.core.index', 'tensorflow.python.training.session_manager', 'resource', 'tensorflow.core.framework', 'bisect', 'ctypes.subprocess', 'unittest.runner', 'nose.__future__', 'pandas._libs.tslibs', 'tensorflow.core.example', 'unittest.re', 'threading', 'distutils.os', 'nose.plugins.skip', 'dateutil.tz._factories', 'tensorflow.core.protobuf.debug_pb2', 'pkg_resources._vendor.six.moves', 'nose.failure', 'dateutil.tz.functools', 'hotshot._hotshot', 'h5py.weakref', 'tensorflow.python.training.proximal_gradient_descent', 'dateutil.tz.bisect', 'email.Message', 'pandas._libs.tslibs.sys', 'pytz.tzfile', 'tensorflow.python.training.slot_creator', 'tensorflow.python.framework.load_library', 'pandas.compat.chainmap', 'locale', 'tensorflow.python.training.supervisor', 'pandas.core.dtypes.base', 'tensorflow.python.ops.check_ops', 'tensorflow.core.framework.sys', 'atexit', 'email.quopriMIME', 'pkg_resources._vendor.re', 'dateutil.parser.io', 'pandas.core.generic', 'pandas.core.groupby.contextlib', 'tensorflow.core.protobuf.rewriter_config_pb2', 'calendar', 'pandas._libs.tslibs.strptime', 'sphinxcontrib', 'nose.imp', 'tensorflow.python.ops.gen_random_ops', 'h5py.defs', 'dateutil', 'plistlib', 'h5py.h5z', 'h5py.h5t', 'numpy.lib.histograms', 'pandas.core.sparse.__future__', 'h5py.h5p', 'urllib', 'numpy.core.numerictypes', 'pandas.plotting.operator', 'nose.plugins.xunit', 'h5py.h5o', 'pkg_resources.extern.packaging.version', 'h5py.h5i', 'keras.backend.common', 'google.protobuf.sys', 'nose.tokenize', 'pkg_resources._vendor.string', 'pkg_resources.sys', 'h5py.h5g', 'h5py.h5f', 'h5py.h5a', 'email', 'multiprocessing.dummy.connection', 'multiprocessing.time', 'fcntl', 'unittest.case', 'tensorflow.python.util.tf_contextlib', 'keras.utils.conv_utils', 'dateutil.tz.time', 'mkl_fft._pydfti', 'pandas.io.zipfile', 'swig_runtime_data4', 'pandas._libs.tslibs.pandas', 'google.protobuf.descriptor', 'Queue', 'numpy.lib.info', 'tensorflow.python.ops.gen_control_flow_ops', 'ctypes', 'matplotlib', 'nose.inspector', 'pandas._libs.numpy', 'tensorflow.python.ops.lookup_ops', 'tensorflow.python.training.adam', 'pandas.util._decorators', 'json.re', 'pandas.plotting', 'pandas.core.nanops', 'nose.plugins.hotshot', 'nose.importer', 'multiprocessing.Queue', 'pandas.core.sparse.array', 'unittest.signal', 'tensorflow.core.lib', 'pandas.core.types', 'tensorflow.python.client.session', 'tensorflow.python.lib', 'pytz.lazy', 'itertools', 'numpy.ctypes', 'opcode', 'pstats', 'tensorflow.core.example.sys', 'pandas.compat.chainmap_impl', 'pdb', 'tensorflow.core.lib.core.error_codes_pb2', 'tensorflow.python.training.basic_loops', 'tensorflow.python.ops.gen_math_ops', 'six.moves', 'numpy.testing._private.nosetester', 'google.protobuf.json_format', 'email.uu', 'nose.plugins.codecs', 'unittest', 'pandas.compat.numpy.function', 'keras.utils.generic_utils', 'tensorflow.python.ops.sets', 'multiprocessing.dummy.itertools', 'email.calendar', 'tensorflow.python.framework.op_def_registry', 'google.protobuf.internal.containers', 'nose.util', 'tensorflow.core.protobuf.tensorflow', 'pandas._libs.index', 'tensorflow.core.framework.tensor_shape_pb2', 'pandas.compat.platform', 'numpy.testing._private.utils', 'h5py._hl.selections', 'tensorflow.python.ops.rnn_cell', 'unittest.collections', 'pandas.core.tools.datetime', 'pkgutil', 'platform', 'tensorflow.python.training.collections', 'tensorflow.python.saved_model.signature_constants', 'pandas.io.urllib', 'nose.plugins.base', 'mmap', 'sre_constants', 'tensorflow.python.ops.nn_grad', 'pandas.util._validators', 'numpy.core._methods', 'tensorflow.python.pywrap_tensorflow', 'pandas.io.formats.functools', 'numpy.core.function_base', 'numpy.compat.py3k', 'pkg_resources._vendor.sre_constants', 'tensorflow', 'pandas.io.formats.pandas', 'numpy', 'pandas.core.util', 'pandas.compat', 'tensorflow.python.training.gen_training_ops', 'parser', 'tensorflow.core.lib.core.google', 'pandas.core', 'pandas.core.indexing', 'google.protobuf.internal.six', 'dateutil.parser.time', 'tensorflow.python.ops.random_ops', 'email.utils', 'numpy.ma', 'nose.plugins.builtin', 'tensorflow.python.ops.session_ops', 'pandas.core.arrays.textwrap', 'pytz', 'numpy.ma.core', 'logging.atexit', 'google.protobuf.text_format', 'tensorflow.python.framework.sys', 'pandas.tseries.re', 'hotshot.symbol', 'pandas.core.dtypes', 'email.MIMENonMultipart', 'pandas.core.contextlib', 'email.email', 'keras.utils.data_utils', 'tensorflow.python.summary.summary', 'h5py._objects', 'google.protobuf.base64', 'pandas.io.formats.__future__', 'pandas._libs.pytz', 'zlib', 'tensorflow.python.framework.meta_graph', 'cip_python', 'pandas.core.util.hashing', 'nose.plugins.capture', 'tensorflow.python.training', 'nose.types', 'pandas.core.textwrap', 'multiprocessing.weakref', 'pytz.bisect', 'tensorflow.python.ops.standard_ops', 'json.decoder', 'distutils.distutils', 'tensorflow.python.util', 'copy_reg', 'tensorflow.core.protobuf', 'pkg_resources._vendor.packaging.specifiers', 'pkg_resources._vendor.appdirs', 'nose.plugins.logging', '__main__', 'site', 'tensorflow.python.ops.nn_impl', 'h5py._hl.compat', 'nose.proxy', 'dateutil.tz', 'h5py._hl.os', 'pandas.plotting.pandas', 'io', 'numpy.fft.info', 'pandas.core.__future__', 'h5py._hl.attrs', 'tensorflow.python.ops.clip_ops', 'shutil', 'backports_abc', 'google.protobuf.descriptor_pb2', 'h5py.gc', 'pandas._libs.tslibs.warnings', 'queue', 'tensorflow.python.framework.versions', 'tensorflow.python.framework.graph_util', 'tensorflow.python.framework.graph_util_impl', 'tensorflow.python.training.training', 'tensorflow.python.framework.tensor_shape', 'google.protobuf.internal._api_implementation', 'pandas.io.formats', 'nose.plugins.time', 'h5py.platform', 'numpy.fft.fftpack', 'email.binascii', 'nose.tools.re', 'multiprocessing.dummy', 'pandas.io.pandas', 'google.protobuf.internal.collections', 'tensorflow.python.framework', 'tensorflow.python.training.server_lib', 'tensorflow.python.training.queue_runner', 'pandas.core.common', 'pkg_resources.extern', 'numpy.lib.utils', 'numpy.random', 'rfc822', 'google.protobuf.internal.sys', 'numpy.polynomial.polyutils', 'json.json', 'email.re', 'tensorflow.python.summary.text_summary', 'sys', 'tensorflow.python.saved_model.utils_impl', 'numpy.compat._inspect', 'tensorflow.python.imp', 'pandas.tseries.numpy', 'pandas._libs.tslibs.np_datetime', 'multiprocessing.subprocess', 'nose.logging', 'tensorflow.python.training.training_util', 'email.cStringIO', 'google.protobuf.any_pb2', 'tensorflow.python.estimator.inputs.queues', 'tensorflow.python.ops.array_ops', 'pandas.core.indexes.base', 'pandas.core.itertools', 'pkg_resources._vendor.packaging', 'pandas._libs.tslibs.calendar', 'matplotlib.fontconfig_pattern', '_weakref', 'tensorflow.python.ops.gen_sparse_ops', 'difflib', 'distutils.errors', 'pkg_resources.extern.pyparsing', 'urlparse', 'dateutil.parser.__future__', 'pandas.compat.thread', 'unittest.warnings', 'multiprocessing.dummy.Queue', 'tensorflow.python.ops.gen_logging_ops', 'pandas.plotting.distutils', 'tensorflow.python.ops.functional_ops', 'nose.case', 'tensorflow.python.ops.parsing_ops', 'heapq', 'google.protobuf.internal.encoder', 'dateutil.parser.six', 'xml.sax.urlparse', 'distutils', 'tensorflow.python.estimator.inputs.queues.feeding_queue_runner', 'tensorflow.python.framework.sparse_tensor', 'tensorflow.core.protobuf.cluster_pb2', 'pandas.core.sorting', 'pandas.core.indexes.sys', 'h5py.warnings', 'google.protobuf.google', 'pandas.plotting.math', 'tensorflow.python.training.basic_session_run_hooks', 'numpy.core.einsumfunc', 'pkg_resources.extern.packaging', 'tensorflow.python.util.all_util', 'matplotlib.colors', 'email.mime', 'pandas.core.gc', 'pandas.core.datetime', 'struct', 'numpy.random.info', 'pandas.core.dtypes.cast', 'tensorflow.python.util.compat', 'xml.sax.urllib', 'tensorflow.python.client.client_lib', 'mkl_fft', 'numpy.testing', '_abcoll', 'collections', 'pkg_resources._vendor.sys', 'h5py._hl.files', 'unittest.main', 'email.Parser', 'distutils.types', 'pytz.os', 'nose.plugins.pdb', 'tensorflow.python.ops.linalg_grad', 'zipimport', 'pkg_resources._vendor.packaging._structures', 'tensorflow.python.summary.summary_iterator', 'pandas.core.inspect', 'h5py._hl.group', 'pkg_resources.extern.sys', 'pkg_resources.extern.packaging.markers', 'nose.plugins.cStringIO', 'textwrap', 'pandas._libs.tslibs.fields', 'pandas.plotting._compat', 'pandas.core.dtypes.warnings', 'tensorflow.python.ops.nn', 'pandas.tseries.frequencies', 'ConfigParser', 'tensorflow.python.lib.io', 'pandas.core.numpy', 'multiprocessing.multiprocessing', 'tensorflow.core.lib.core.sys', 'tensorflow.core.framework.step_stats_pb2', 'signal', 'numpy.random.operator', 'tensorflow.python.estimator.inputs', 'pandas.compat.inspect', 'pandas.io.csv', 'nose', 'pandas.compat.cPickle', 'numpy.core.multiarray', 'quopri', 'dateutil.parser.functools', 'pandas.io.formats.format', 'tensorflow.python.util.tf_decorator', 'distutils.version', 'pkg_resources.py31compat', 'tensorflow.python.ops.gen_parsing_ops', 'google', 'tensorflow.python.ops.gen_string_ops', 'tensorflow.core.util.tensorflow', 'backports.weakref', 'pandas.core.groupby.types', 'pandas._libs.tslibs.collections', 'numpy.core.getlimits', 'pandas.core.indexes.numeric', 'hotshot.os', 'dateutil.tz.sys', 'nose.plugins.collect', '_pywrap_tensorflow_internal', 'google.protobuf.internal.well_known_types', 'tensorflow.python.ops.gen_resource_variable_ops', 'pandas.io.formats.shutil', 'nose.unittest', 'tensorflow.core.protobuf.google', 'logging.traceback', 'pandas.core.sparse.numpy', 'google.protobuf.collections', 'numpy.matrixlib', 'tensorflow.core', '_multiprocessing', 'pandas.core.dtypes.inference', 'tensorflow.core.lib.core', 'backports', 'nose.warnings', 'pandas.core.tools', 'numpy.lib.mixins', 'google.protobuf.internal.enum_type_wrapper', 'keras.utils.six', 'dateutil.parser.re', 'tensorflow.python.estimator.model_fn', 'pandas.io.urlparse', 'tensorflow.python.ops.histogram_ops', 'email.errors', 'nose.plugins.manager', 'tensorflow.python.ops.nn_ops', 'google.protobuf.re', 'pandas.core.config_init', 'google.protobuf.descriptor_pool', 'pandas.core.groupby.textwrap', 'mpl_toolkits', 'UserDict', 'pandas.compat.__builtin__', 'inspect', 'tensorflow.python.ops', 'numpy.linalg', 'h5py.h5py_warnings', 'tensorflow.python.ops.template', 'numpy.polynomial.laguerre', 'tensorflow.core.util.event_pb2', 'logging.sys', 'tensorflow.python', 'dateutil.calendar', 'unittest.loader', 'keras.utils.numpy', '_functools', 'pandas._libs.tslibs.pytz', 'json.sys', 'email.Iterators', 'socket', 'tensorflow.python.util.deprecation', 'numpy.core.memmap', 'tensorflow.core.framework.tensorflow', 'email.base64MIME', 'cython_runtime', 'pandas.compat.re', 'tensorflow.python.training.training_ops', 'tensorflow.python.framework.common_shapes', 'nose.result', 'tensorflow.core.protobuf.tensorflow_server_pb2', 'dateutil.math', 'email.Charset', 'nose.suite', 'nose.plugins.prof', 'os', 'marshal', 'pandas.errors', 'h5py.h5', 'matplotlib.cbook.deprecation', '__future__', 'numpy.core.shape_base', 'pandas.io.functools', 'matplotlib.compat', 'tensorflow.core.framework.resource_handle_pb2', '__builtin__', 'nose.re', 'pandas.core.distutils', 'numpy.polynomial', 'xml.sax.xmlreader', 'dateutil._common', 'pandas._libs.sys', 'operator', 'pandas.core.internals', 'json.struct', 'tensorflow.python.ops.sdca_ops', 'pandas.core.json', 'pandas.core.ops', 'tensorflow.python.ops.metrics_impl', 'tensorflow.python.saved_model.tag_constants', 'pandas._libs.tslib', 'pandas.plotting.datetime', 'pandas._libs.missing', 'multiprocessing.threading', 'pkg_resources._vendor.packaging.requirements', '_socket', 'json', 'email.Utils', 'pandas.compat.dateutil', 'matplotlib.cbook.functools', 'xml.sax.handler', 'tensorflow.python.training.input', 'pytz.sys', '_warnings', 'pandas._libs.algos', 'h5py.utils', 'pandas._libs.hashing', 'pandas.util.textwrap', 'encodings.__builtin__', 'tensorflow.python.platform', 'tensorflow.python.ops.sparse_ops', 'pandas.core.indexes.datetime', 'nose.plugins.cPickle', 'tokenize', 'email.os', 'pandas.io.formats.console', 'tensorflow.python.saved_model.signature_def_utils', 'numpy._distributor_init', 'nose.plugins.itertools', 'pwd', 'nose.plugins.nose', 'pandas._libs.interval', 'tensorflow.python.ops.sets_impl', 'tensorflow.python.training.sys', 'h5py.h5d', 'tensorflow.python.ops.image_grad', '_sysconfigdata', '_struct', 'multiprocessing.dummy.sys', 'tensorflow.core.example.tensorflow', 'google.protobuf.pyext.google', 'tensorflow.python.ops.resource_variable_ops', 'pandas.core.indexes', 'nose.textwrap', 'uu', 'tensorflow.python.ops.embedding_ops', 'numpy.fft', 'tensorflow.python.ops.gradients_impl', 'numpy.random.numpy', 'logging.time', 'pandas._libs.tslibs.thread', 'matplotlib.compat.subprocess', 'pandas.core.arrays', 'pandas.core.tools.pandas', 'numpy.lib.function_base', 'pandas._libs.tslibs.timezones', 'tensorflow.python.os', 'logging.warnings', 'tensorflow.python.training.adagrad', 'nose.plugins.textwrap', 'mimetools', 'nose.exc', 'multiprocessing.signal', 'dateutil.datetime', 'tensorflow.core.framework.summary_pb2', 'xml.sax', 'nose.inspect', 'logging.codecs', '_random', 'encodings', 'tensorflow.core.framework.graph_pb2', 'numpy.polynomial._polybase', 'google.protobuf.symbol_database', 'numpy.polynomial.hermite', 'contextlib', 'pandas._libs.datetime', 'pandas.pandas', 'pandas._libs.internals', 'tensorflow.core.util.sys', 'numpy.polynomial.polynomial', 'pandas.io.os', 'matplotlib.cbook._backports', 'email.Generator', 'tensorflow.python.framework.random_seed', '_io', 'pandas.core.groupby.datetime', 'importlib.sys', 'grp', 'linecache', 'pandas.core.re', 'google.protobuf.internal.google', 'numpy.core.defchararray', 'gettext', 'nose.tools.nose', 'pandas.core.arrays.warnings', 'dateutil.parser.string', 'email.warnings', 'tensorflow.python.ops.math_ops', 'tensorflow.python.framework.registry', 'tensorflow.python.ops.weights_broadcast_ops', 'pandas', 'xml.sax._exceptions', 'pandas.core.config', 'genericpath', 'stat', 'tensorflow.python.summary.writer.writer_cache', 'nose.plugins.Queue', 'pandas.io.formats.numpy', 'tensorflow.python.summary.plugin_asset', 'symbol', 'tensorflow.core.protobuf.control_flow_pb2', 'urllib2', 'ctypes.errno', 'unittest.signals', 'email.Encoders', 'backports.functools_lru_cache', 'ctypes.ctypes', 'nose.plugins.multiprocess', 'numpy.lib.format', 'hotshot.pstats', 'subprocess32', 'pandas.core.indexes.api', 'tensorflow.python.training.saver', 'pandas.core.indexes.pytz', 'google.protobuf.reflection', 'numpy.testing._private.decorators', 'tensorflow.core.protobuf.sys', 'pandas._libs.tslibs.numpy', 'nose.plugins.allmodules', 'pandas.plotting._tools', 'google.protobuf.pyext', 'pandas._libs.tslibs.dateutil', 'pkg_resources._vendor.types', 'nose.tools.time', 'tensorflow.python.ops.tensorflow', 'time', 'google.protobuf.internal.decoder', 'pandas.core.dtypes.datetime', 'nose.plugins.warnings', 'tensorflow.python.training.adadelta', 'future_builtins']
tensorflow: Level 1: Registering RandomCrop (None) in gradient.
tensorflow: Level 1: Registering RGBToHSV (None) in gradient.
tensorflow: Level 1: Registering HSVToRGB (None) in gradient.
tensorflow: Level 1: Registering DrawBoundingBoxes (None) in gradient.
tensorflow: Level 1: Registering SampleDistortedBoundingBox (None) in gradient.
tensorflow: Level 1: Registering ExtractGlimpse (None) in gradient.
tensorflow: Level 1: Registering NonMaxSuppression (None) in gradient.
tensorflow: Level 1: Registering Fact (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering BigQueryReader (None) in gradient.
tensorflow: Level 1: Registering CudnnRNN (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering CudnnRNNBackprop (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering CudnnRNNCanonicalToParams (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering CudnnRNNParamsSize (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering CudnnRNNParamsToCanonical (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering CudnnRNN (<function _cudnn_rnn_backward at 0x7f6f78937758>) in gradient.
tensorflow: Level 1: Registering CudnnRNNParamsSize (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
tensorflow: Level 1: Registering CudnnRNNParamsToCanonical (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
tensorflow: Level 1: Registering CudnnRNNCanonicalToParams (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
tensorflow: Level 1: Registering CudnnRNN (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
tensorflow: Level 1: Registering CudnnRNNBackprop (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
tensorflow: Level 1: Registering ZeroInitializer (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering KmeansPlusPlusInitialization (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering NearestNeighbors (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering MaskedMatmul (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering WALSComputePartialLhsAndRhs (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering SparseFeatureCross (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering SparseFeatureCrossV2 (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering SparseFeatureCross (None) in gradient.
tensorflow: Level 1: Registering SparseFeatureCrossV2 (None) in gradient.
tensorflow: Level 1: Registering ObtainNext (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering hparams ((<class 'tensorflow.contrib.training.python.training.hparam_pb2.HParamDef'>, <unbound method HParams.to_proto>, <function from_proto at 0x7f6f773212a8>)) in proto functions.
tensorflow: Level 1: Registering GRUBlockCell (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering GRUBlockCellGrad (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering GRUBlockCell (<function _GRUBlockCellGrad at 0x7f6f772c21b8>) in gradient.
tensorflow: Level 1: Registering BlockLSTM (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering BlockLSTMGrad (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering LSTMBlockCell (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering LSTMBlockCellGrad (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering LSTMBlockCell (<function _LSTMBlockCellGrad at 0x7f6f771ab5f0>) in gradient.
tensorflow: Level 1: Registering BlockLSTM (<function _BlockLSTMGrad at 0x7f6f771ab668>) in gradient.
tensorflow: Level 1: Registering BipartiteMatch (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering ImageProjectiveTransform (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering ImageProjectiveTransform (<function call_cpp_shape_fn at 0x7f6f9bb06500>) in shape functions.
tensorflow: Level 1: Registering ImageProjectiveTransform (<function _image_projective_transform_grad at 0x7f6f77003c08>) in gradient.
tensorflow: Level 1: Registering BipartiteMatch (None) in gradient.
tensorflow: Level 1: Registering SingleImageRandomDotStereograms (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering SingleImageRandomDotStereograms (None) in gradient.
tensorflow: Level 1: Registering BytesLimit (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering MaxBytesInUse (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering NcclAllReduce (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering NcclBroadcastRecv (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering NcclBroadcastSend (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering GatherTree (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering StatelessRandomNormal (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering StatelessRandomUniform (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering StatelessTruncatedNormal (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering BestSplits (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering CountExtremelyRandomStats (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering FinishedNodes (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering GrowTree (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering ReinterpretStringToFloat (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering SampleInputs (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering ScatterAddNdim (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering TopNInsert (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering TopNRemove (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering TreePredictions (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
tensorflow: Level 1: Registering UpdateFertileSlots (<function call_without_requiring at 0x7f6f9bb065f0>) in default shape functions.
matplotlib: DEBUG: CACHEDIR=/home/ec2-user/.cache/matplotlib
matplotlib.font_manager: DEBUG: Using fontManager instance from /home/ec2-user/.cache/matplotlib/fontList.json
matplotlib.backends: DEBUG: backend Qt5Agg version 5.6
tensorflow: Level 1: Gradient for 'loss/add_2'
tensorflow: Level 1:   in  --> training/Adam/gradients/Fill:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/add_2_grad/Reshape:0, training/Adam/gradients/loss/add_2_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/add_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/add_2_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/add_1_grad/Reshape:0, training/Adam/gradients/loss/add_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/mul_3'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/add_2_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/mul_3_grad/Reshape:0, training/Adam/gradients/loss/mul_3_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/add_1_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/add_grad/Reshape:0, training/Adam/gradients/loss/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/mul_2'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/add_1_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/mul_2_grad/Reshape:0, training/Adam/gradients/loss/mul_2_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/Mean_3'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/mul_3_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/Mean_3_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/add_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/mul_grad/Reshape:0, training/Adam/gradients/loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/mul_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/mul_1_grad/Reshape:0, training/Adam/gradients/loss/mul_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/Mean_3'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/mul_2_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/Mean_3_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/div_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/Mean_3_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/div_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/Mean_3'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/mul_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/Mean_3_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/Mean_3'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/mul_1_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/Mean_3_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/div_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/Mean_3_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/div_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/div_1_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/div_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/Mean_3_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/div_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/div_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/Mean_3_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/div_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/div_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/div_1_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/Mean_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/mul_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/Mean_1_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/div_1_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/div_1_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/Mean_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/mul_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/Mean_1_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/Mean'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/Mean_1_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/Mean_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/Mean_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/mul_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/Mean_1_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/Mean_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/mul_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/Mean_1_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/Mean'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/Mean_1_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/Mean_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/Mean_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/Mean'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/Mean_1_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/Mean_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/Mean'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/Mean_1_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/Mean_grad/truediv:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/Mean_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/sub'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/Log1p'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/Mean_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/Mean_grad/truediv:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/sub'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/Log1p'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/Select'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/Exp'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/sub'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/Log1p'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/sub'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/Log1p'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/Select'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/Exp'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/Select_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_1_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/Select'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/Exp'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/Select'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_grad/Select:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/mul'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/sub_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/mul_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/mul_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/Exp'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Log1p_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/Select_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_1_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/logistic_loss/Neg'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Select_1_grad/Select:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/logistic_loss/Neg_grad/Neg:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/Select_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_1_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/Select_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Exp_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_1_grad/Select:0, training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_1_grad/Select_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/logistic_loss/Neg'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Select_1_grad/Select:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/logistic_loss/Neg_grad/Neg:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/logistic_loss/Neg'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Select_1_grad/Select:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/logistic_loss/Neg_grad/Neg:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/logistic_loss/Neg'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Select_1_grad/Select:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/logistic_loss/Neg_grad/Neg:0
tensorflow: Level 2:   _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/Log'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/Log_grad/mul:0
tensorflow: Level 2:   _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/Log'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/Log_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/div'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/Log_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/div_grad/Reshape_1:0
tensorflow: Level 2:   _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/Log'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_2:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/Log_grad/mul:0
tensorflow: Level 2:   _AggregatedGrads 4 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/Log'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_3:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/Log_grad/mul:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/div'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/Log_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/div_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/sub_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/div_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/sub_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/div'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/Log_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/div_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/div'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/Log_grad/mul:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/div_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/div_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/sub_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/div_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/sub_1_grad/Reshape_1:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/clip_by_value'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_4:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/clip_by_value_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/sub_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/div_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/sub_1_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/sub_1'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/div_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/sub_1_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/sub_1_grad/Reshape_1:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/clip_by_value'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_5:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/clip_by_value_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_31_loss/clip_by_value/Minimum'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_31_loss/clip_by_value/Minimum_grad/Reshape_1:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/clip_by_value'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_6:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/clip_by_value_grad/Reshape_1:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 256, 256, 1) using add_n
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/clip_by_value'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_7:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/clip_by_value_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_30_loss/clip_by_value/Minimum'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_30_loss/clip_by_value/Minimum_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_31/Sigmoid'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_31_loss/clip_by_value/Minimum_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1: Gradient for 'loss/conv2d_28_loss/clip_by_value/Minimum'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_28_loss/clip_by_value/Minimum_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'loss/conv2d_29_loss/clip_by_value/Minimum'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value/Minimum_grad/Reshape:0, training/Adam/gradients/loss/conv2d_29_loss/clip_by_value/Minimum_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_30/Sigmoid'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_30_loss/clip_by_value/Minimum_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1: Gradient for 'conv2d_31/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_31/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_28/Sigmoid'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_28_loss/clip_by_value/Minimum_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1: Gradient for 'conv2d_29/Sigmoid'
tensorflow: Level 1:   in  --> training/Adam/gradients/loss/conv2d_29_loss/clip_by_value/Minimum_grad/Reshape:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1: Gradient for 'conv2d_30/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_30/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_31/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_31/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_31/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_31/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_31/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_28/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_28/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_29/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0, training/Adam/gradients/conv2d_29/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_30/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_30/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_30/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_30/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_30/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_31/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_31/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_28/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_28/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_28/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_28/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_28/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_29/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_29/Sigmoid_grad/SigmoidGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_29/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_29/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_29/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_30/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_30/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_28/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_28/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 2:   _AggregatedGrads 4 x (?, 256, 256, 32) using add_n
tensorflow: Level 1: Gradient for 'add_11/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_8:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_11/add_grad/Reshape:0, training/Adam/gradients/add_11/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_29/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_29/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_27/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_11/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_27/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_27/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_27/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_27/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_27/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_27/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_27/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_26/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_27/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_27/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_26/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_26/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_26/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_26/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_26/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_26/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_26/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'concatenate_5/concat'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/concatenate_5/concat_grad/Slice:0, training/Adam/gradients/concatenate_5/concat_grad/Slice_1:0
tensorflow: Level 1: Gradient for 'conv2d_26/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_26/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, ?, ?, 32) using add_n
tensorflow: Level 1: Gradient for 'conv2d_transpose_5/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_9:0
tensorflow: Level 1:   out --> training/Adam/gradients/AddN_9:0, training/Adam/gradients/conv2d_transpose_5/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_5/conv2d_transpose'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_9:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_5/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_5/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_5/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_5/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'add_10/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_5/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_10/add_grad/Reshape:0, training/Adam/gradients/add_10/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_25/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_10/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_25/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_25/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_25/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_25/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_25/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_25/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_25/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_24/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_25/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_25/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_24/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_24/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_24/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_24/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_24/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_24/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_24/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'concatenate_4/concat'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/concatenate_4/concat_grad/Slice:0, training/Adam/gradients/concatenate_4/concat_grad/Slice_1:0
tensorflow: Level 1: Gradient for 'conv2d_24/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_24/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, ?, ?, 64) using add_n
tensorflow: Level 1: Gradient for 'conv2d_transpose_4/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_10:0
tensorflow: Level 1:   out --> training/Adam/gradients/AddN_10:0, training/Adam/gradients/conv2d_transpose_4/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_4/conv2d_transpose'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_10:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_4/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_4/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_4/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_4/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'add_9/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_4/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_9/add_grad/Reshape:0, training/Adam/gradients/add_9/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_23/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_9/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_23/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_23/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_23/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_23/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_23/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_23/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_23/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_22/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_23/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_23/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_22/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_22/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_22/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_22/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_22/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_22/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_22/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'concatenate_3/concat'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/concatenate_3/concat_grad/Slice:0, training/Adam/gradients/concatenate_3/concat_grad/Slice_1:0
tensorflow: Level 1: Gradient for 'conv2d_22/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_22/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, ?, ?, 128) using add_n
tensorflow: Level 1: Gradient for 'conv2d_transpose_3/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_11:0
tensorflow: Level 1:   out --> training/Adam/gradients/AddN_11:0, training/Adam/gradients/conv2d_transpose_3/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_3/conv2d_transpose'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_11:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_3/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_3/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_3/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_3/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'add_8/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_3/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_8/add_grad/Reshape:0, training/Adam/gradients/add_8/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_21/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_8/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_21/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_21/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_21/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_21/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_21/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_21/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_21/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_20/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_21/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_21/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_20/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_20/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_20/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_20/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_20/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_20/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_20/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'concatenate_2/concat'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/concatenate_2/concat_grad/Slice:0, training/Adam/gradients/concatenate_2/concat_grad/Slice_1:0
tensorflow: Level 1: Gradient for 'conv2d_20/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_20/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, ?, ?, 256) using add_n
tensorflow: Level 1: Gradient for 'conv2d_transpose_2/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_12:0
tensorflow: Level 1:   out --> training/Adam/gradients/AddN_12:0, training/Adam/gradients/conv2d_transpose_2/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_2/conv2d_transpose'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_12:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_2/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_2/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_2/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_2/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'add_7/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_2/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_7/add_grad/Reshape:0, training/Adam/gradients/add_7/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_19/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_7/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_19/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_19/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_19/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_19/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_19/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_19/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_19/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_18/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_19/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_19/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_18/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_18/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_18/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_18/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_18/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_18/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_18/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'concatenate_1/concat'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/concatenate_1/concat_grad/Slice:0, training/Adam/gradients/concatenate_1/concat_grad/Slice_1:0
tensorflow: Level 1: Gradient for 'conv2d_18/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_18/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, ?, ?, 512) using add_n
tensorflow: Level 1: Gradient for 'conv2d_transpose_1/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_13:0
tensorflow: Level 1:   out --> training/Adam/gradients/AddN_13:0, training/Adam/gradients/conv2d_transpose_1/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_1/conv2d_transpose'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_13:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2DBackpropFilter:0, training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_1/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_1/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_1/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_transpose_1/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'add_6/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_transpose_1/conv2d_transpose_grad/Conv2D:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_6/add_grad/Reshape:0, training/Adam/gradients/add_6/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_17/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_6/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_17/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_17/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_17/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_17/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_17/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_17/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_17/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_16/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_17/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_17/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_16/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_16/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_16/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_16/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_16/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_16/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_16/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 8, 8, 1024) using add_n
tensorflow: Level 1: Gradient for 'conv2d_15/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_14:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_16/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_16/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_15/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_15/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_15/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_15/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_15/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_15/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_15/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 16, 16, 512) using add_n
tensorflow: Level 1: Gradient for 'add_5/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_15:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_5/add_grad/Reshape:0, training/Adam/gradients/add_5/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_15/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_15/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_14/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_5/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_14/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_14/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_14/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_14/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_14/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_14/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_14/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_13/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_14/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_14/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_13/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_13/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_13/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_13/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_13/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_13/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_13/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 16, 16, 512) using add_n
tensorflow: Level 1: Gradient for 'conv2d_12/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_16:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_13/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_13/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_12/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_12/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_12/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_12/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_12/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_12/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_12/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 32, 32, 256) using add_n
tensorflow: Level 1: Gradient for 'add_4/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_17:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_4/add_grad/Reshape:0, training/Adam/gradients/add_4/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_12/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_12/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_11/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_4/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_11/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_11/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_11/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_11/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_11/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_11/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_11/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_10/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_11/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_11/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_10/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_10/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_10/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_10/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_10/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_10/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_10/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 32, 32, 256) using add_n
tensorflow: Level 1: Gradient for 'conv2d_9/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_18:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_10/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_10/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_9/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_9/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_9/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_9/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_9/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_9/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_9/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 64, 64, 128) using add_n
tensorflow: Level 1: Gradient for 'add_3/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_19:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_3/add_grad/Reshape:0, training/Adam/gradients/add_3/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_9/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_9/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_8/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_3/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_8/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_8/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_8/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_8/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_8/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_8/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_8/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_7/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_8/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_8/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_7/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_7/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_7/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_7/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_7/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_7/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_7/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 64, 64, 128) using add_n
tensorflow: Level 1: Gradient for 'conv2d_6/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_20:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_7/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_7/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_6/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_6/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_6/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_6/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_6/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_6/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_6/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 128, 128, 64) using add_n
tensorflow: Level 1: Gradient for 'add_2/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_21:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_2/add_grad/Reshape:0, training/Adam/gradients/add_2/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_6/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_6/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_5/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_2/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_5/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_5/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_5/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_5/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_5/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_5/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_5/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_4/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_5/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_5/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_4/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_4/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_4/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_4/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_4/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_4/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_4/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 128, 128, 64) using add_n
tensorflow: Level 1: Gradient for 'conv2d_3/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_22:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_4/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_4/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_3/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_3/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_3/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_3/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_3/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_3/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_3/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 2:   _AggregatedGrads 2 x (?, 256, 256, 32) using add_n
tensorflow: Level 1: Gradient for 'add_1/add'
tensorflow: Level 1:   in  --> training/Adam/gradients/AddN_23:0
tensorflow: Level 1:   out --> training/Adam/gradients/add_1/add_grad/Reshape:0, training/Adam/gradients/add_1/add_grad/Reshape_1:0
tensorflow: Level 1: Gradient for 'conv2d_3/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_3/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_2/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/add_1/add_grad/Reshape_1:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_2/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_2/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_2/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_2/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_2/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_1/Elu'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropInput:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0
tensorflow: Level 1: Gradient for 'conv2d_2/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_2/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_1/BiasAdd'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0, training/Adam/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_1/convolution'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_1/Elu_grad/EluGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropInput:0, training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1: Gradient for 'conv2d_1/bias/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_1/BiasAdd_grad/BiasAddGrad:0
tensorflow: Level 1: Gradient for 'conv2d_1/kernel/read'
tensorflow: Level 1:   in  --> training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter:0
tensorflow: Level 1:   out --> training/Adam/gradients/conv2d_1/convolution_grad/Conv2DBackpropFilter:0
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
Ran 1 test in 15.749s

FAILED (failures=1)

CDash 2.2.2 © Kitware | Report problems