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12.15s

/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 0x7fa387a5e500>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x7fa387992b90>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x7fa387992c08>) in gradient.
Level 1:tensorflow:Registering MatMul,flops (<function _calc_mat_mul_flops at 0x7fa3877cbc80>) 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 0x7fa38775ba28>)) 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 0x7fa38775f398>)) in proto functions.
Level 1:tensorflow:Registering ReadVariableOp (<function _ReadGrad at 0x7fa387701c08>) in gradient.
Level 1:tensorflow:Registering ResourceGather (<function _GatherGrad at 0x7fa387729230>) in gradient.
Level 1:tensorflow:Registering variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7fa387729320>, <function _from_proto_fn at 0x7fa3877292a8>)) in proto functions.
Level 1:tensorflow:Registering trainable_variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7fa387729320>, <function _from_proto_fn at 0x7fa3877292a8>)) in proto functions.
Level 1:tensorflow:Registering moving_average_variables ((<class 'tensorflow.core.framework.variable_pb2.VariableDef'>, <function _to_proto_fn at 0x7fa387729320>, <function _from_proto_fn at 0x7fa3877292a8>)) 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 0x7fa3876652a8>) in gradient.
Level 1:tensorflow:Registering Unpack (<function _UnpackGrad at 0x7fa3875ee410>) in gradient.
Level 1:tensorflow:Registering Concat (<function _ConcatGrad at 0x7fa3875ee500>) in gradient.
Level 1:tensorflow:Registering ConcatV2 (<function _ConcatGradV2 at 0x7fa3875ee578>) in gradient.
Level 1:tensorflow:Registering ConcatOffset (None) in gradient.
Level 1:tensorflow:Registering Slice (<function _SliceGrad at 0x7fa3875ee668>) in gradient.
Level 1:tensorflow:Registering StridedSlice (<function _StridedSliceGrad at 0x7fa3875ee5f0>) in gradient.
Level 1:tensorflow:Registering StridedSliceGrad (<function _StridedSliceGradGrad at 0x7fa3875ee6e0>) in gradient.
Level 1:tensorflow:Registering Split (<function _SplitGrad at 0x7fa3875ee758>) in gradient.
Level 1:tensorflow:Registering SplitV (<function _SplitVGrad at 0x7fa3875ee7d0>) in gradient.
Level 1:tensorflow:Registering Const (None) in gradient.
Level 1:tensorflow:Registering Diag (<function _DiagGrad at 0x7fa3875ee848>) in gradient.
Level 1:tensorflow:Registering DiagPart (<function _DiagPartGrad at 0x7fa3875ee8c0>) in gradient.
Level 1:tensorflow:Registering MatrixDiag (<function _MatrixDiagGrad at 0x7fa3875ee9b0>) in gradient.
Level 1:tensorflow:Registering MatrixDiagPart (<function _MatrixDiagPartGrad at 0x7fa3875eea28>) in gradient.
Level 1:tensorflow:Registering MatrixSetDiag (<function _MatrixSetDiagGrad at 0x7fa3875ee938>) in gradient.
Level 1:tensorflow:Registering MatrixBandPart (<function _MatrixBandPartGrad at 0x7fa3875eeaa0>) in gradient.
Level 1:tensorflow:Registering EditDistance (None) in gradient.
Level 1:tensorflow:Registering Fill (<function _FillGrad at 0x7fa3875eeb18>) 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 0x7fa3875eeb90>) in gradient.
Level 1:tensorflow:Registering Gather (<function _GatherGrad at 0x7fa3875eec08>) in gradient.
Level 1:tensorflow:Registering GatherNd (<function _GatherNdGrad at 0x7fa3875eec80>) in gradient.
Level 1:tensorflow:Registering CheckNumerics (<function _CheckNumericsGrad at 0x7fa3875eed70>) in gradient.
Level 1:tensorflow:Registering Identity (<function _IdGrad at 0x7fa3875eecf8>) in gradient.
Level 1:tensorflow:Registering PlaceholderWithDefault (<function _IdGrad at 0x7fa3875eecf8>) in gradient.
Level 1:tensorflow:Registering RefIdentity (<function _RefIdGrad at 0x7fa3875eede8>) in gradient.
Level 1:tensorflow:Registering StopGradient (None) in gradient.
Level 1:tensorflow:Registering Reshape (<function _ReshapeGrad at 0x7fa3875eeed8>) in gradient.
Level 1:tensorflow:Registering InvertPermutation (None) in gradient.
Level 1:tensorflow:Registering ExpandDims (<function _ExpandDimsGrad at 0x7fa3875eee60>) in gradient.
Level 1:tensorflow:Registering Squeeze (<function _SqueezeGrad at 0x7fa3875fc0c8>) in gradient.
Level 1:tensorflow:Registering Transpose (<function _TransposeGrad at 0x7fa3875fc140>) 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 0x7fa3875fc1b8>) in gradient.
Level 1:tensorflow:Registering BroadcastGradientArgs (None) in gradient.
Level 1:tensorflow:Registering Pad (<function _PadGrad at 0x7fa3875fc050>) in gradient.
Level 1:tensorflow:Registering ReverseSequence (<function _ReverseSequenceGrad at 0x7fa3875fc230>) in gradient.
Level 1:tensorflow:Registering Reverse (<function _ReverseGrad at 0x7fa3875fc2a8>) in gradient.
Level 1:tensorflow:Registering ReverseV2 (<function _ReverseV2Grad at 0x7fa3875fc398>) in gradient.
Level 1:tensorflow:Registering SpaceToBatch (<function _SpaceToBatchGrad at 0x7fa3875fc410>) in gradient.
Level 1:tensorflow:Registering SpaceToBatchND (<function _SpaceToBatchNDGrad at 0x7fa3875fc320>) in gradient.
Level 1:tensorflow:Registering BatchToSpace (<function _BatchToSpaceGrad at 0x7fa3875fc488>) in gradient.
Level 1:tensorflow:Registering BatchToSpaceND (<function _BatchToSpaceNDGrad at 0x7fa3875fc500>) in gradient.
Level 1:tensorflow:Registering SpaceToDepth (<function _SpaceToDepthGrad at 0x7fa3875fc578>) in gradient.
Level 1:tensorflow:Registering DepthToSpace (<function _DepthToSpaceGrad at 0x7fa3875fc5f0>) in gradient.
Level 1:tensorflow:Registering OneHot (None) in gradient.
Level 1:tensorflow:Registering MirrorPad (<function _MirrorPadGrad at 0x7fa3875fc668>) in gradient.
Level 1:tensorflow:Registering MirrorPadGrad (<function _MirrorPadGradGrad at 0x7fa3875fc758>) in gradient.
Level 1:tensorflow:Registering QuantizeAndDequantize (<function _QuantizeAndDequantizeGrad at 0x7fa3875fc6e0>) in gradient.
Level 1:tensorflow:Registering QuantizeAndDequantizeV2 (<function _QuantizeAndDequantizeV2Grad at 0x7fa3875fc7d0>) in gradient.
Level 1:tensorflow:Registering ExtractImagePatches (<function _ExtractImagePatchesGrad at 0x7fa3875fc848>) in gradient.
Level 1:tensorflow:Registering ScatterNd (<function _ScatterNdGrad at 0x7fa3875fc8c0>) in gradient.
Level 1:tensorflow:Registering DynamicPartition (<function _DynamicPartitionGrads at 0x7fa387611140>) in gradient.
Level 1:tensorflow:Registering DynamicStitch (<function _DynamicStitchGrads at 0x7fa387613cf8>) 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 0x7fa38761dc08>) in gradient.
Level 1:tensorflow:Registering Max (<function _MaxGrad at 0x7fa3875b7230>) in gradient.
Level 1:tensorflow:Registering Min (<function _MinGrad at 0x7fa3875b72a8>) in gradient.
Level 1:tensorflow:Registering Mean (<function _MeanGrad at 0x7fa3875b7320>) in gradient.
Level 1:tensorflow:Registering Prod (<function _ProdGrad at 0x7fa3875b7398>) in gradient.
Level 1:tensorflow:Registering SegmentSum (<function _SegmentSumGrad at 0x7fa3875b7410>) in gradient.
Level 1:tensorflow:Registering SegmentMean (<function _SegmentMeanGrad at 0x7fa3875b7500>) in gradient.
Level 1:tensorflow:Registering SparseSegmentSum (<function _SparseSegmentSumGrad at 0x7fa3875b7488>) in gradient.
Level 1:tensorflow:Registering SparseSegmentMean (<function _SparseSegmentMeanGrad at 0x7fa3875b7578>) in gradient.
Level 1:tensorflow:Registering SparseSegmentSqrtN (<function _SparseSegmentSqrtNGrad at 0x7fa3875b75f0>) in gradient.
Level 1:tensorflow:Registering SegmentMin (<function _SegmentMinGrad at 0x7fa3875b76e0>) in gradient.
Level 1:tensorflow:Registering SegmentMax (<function _SegmentMaxGrad at 0x7fa3875b77d0>) in gradient.
Level 1:tensorflow:Registering UnsortedSegmentSum (<function _UnsortedSegmentSumGrad at 0x7fa3875b7848>) in gradient.
Level 1:tensorflow:Registering UnsortedSegmentMax (<function _UnsortedSegmentMaxGrad at 0x7fa3875b7758>) in gradient.
Level 1:tensorflow:Registering Abs (<function _AbsGrad at 0x7fa3875b78c0>) in gradient.
Level 1:tensorflow:Registering Neg (<function _NegGrad at 0x7fa3875b7938>) in gradient.
Level 1:tensorflow:Registering Inv (<function _InvGrad at 0x7fa3875b79b0>) in gradient.
Level 1:tensorflow:Registering Reciprocal (<function _ReciprocalGrad at 0x7fa3875b7a28>) in gradient.
Level 1:tensorflow:Registering InvGrad (<function _InvGradGrad at 0x7fa3875b7b18>) in gradient.
Level 1:tensorflow:Registering ReciprocalGrad (<function _ReciprocalGradGrad at 0x7fa3875b7b90>) in gradient.
Level 1:tensorflow:Registering Square (<function _SquareGrad at 0x7fa3875b7aa0>) in gradient.
Level 1:tensorflow:Registering Sqrt (<function _SqrtGrad at 0x7fa3875b7c08>) in gradient.
Level 1:tensorflow:Registering SqrtGrad (<function _SqrtGradGrad at 0x7fa3875b7c80>) in gradient.
Level 1:tensorflow:Registering Rsqrt (<function _RsqrtGrad at 0x7fa3875b7d70>) in gradient.
Level 1:tensorflow:Registering RsqrtGrad (<function _RsqrtGradGrad at 0x7fa3875b7cf8>) in gradient.
Level 1:tensorflow:Registering Exp (<function _ExpGrad at 0x7fa3875b7e60>) in gradient.
Level 1:tensorflow:Registering Expm1 (<function _Expm1Grad at 0x7fa3875b7de8>) in gradient.
Level 1:tensorflow:Registering Log (<function _LogGrad at 0x7fa3875b7ed8>) in gradient.
Level 1:tensorflow:Registering Log1p (<function _Log1pGrad at 0x7fa3875b7f50>) in gradient.
Level 1:tensorflow:Registering Tanh (<function _TanhGrad at 0x7fa3875c0050>) in gradient.
Level 1:tensorflow:Registering TanhGrad (<function _TanhGradGrad at 0x7fa3875c00c8>) in gradient.
Level 1:tensorflow:Registering Erf (<function _ErfGrad at 0x7fa3875c01b8>) in gradient.
Level 1:tensorflow:Registering Erfc (<function _ErfcGrad at 0x7fa3875c0140>) in gradient.
Level 1:tensorflow:Registering Lgamma (<function _LgammaGrad at 0x7fa3875c0230>) in gradient.
Level 1:tensorflow:Registering Digamma (<function _DigammaGrad at 0x7fa3875c02a8>) in gradient.
Level 1:tensorflow:Registering Igamma (<function _IgammaGrad at 0x7fa3875c0398>) in gradient.
Level 1:tensorflow:Registering Igammac (<function _IgammacGrad at 0x7fa3875c0320>) in gradient.
Level 1:tensorflow:Registering Betainc (<function _BetaincGrad at 0x7fa3875c0488>) in gradient.
Level 1:tensorflow:Registering Zeta (<function _ZetaGrad at 0x7fa3875c0500>) in gradient.
Level 1:tensorflow:Registering Polygamma (<function _PolygammaGrad at 0x7fa3875c0410>) in gradient.
Level 1:tensorflow:Registering Sigmoid (<function _SigmoidGrad at 0x7fa3875c05f0>) in gradient.
Level 1:tensorflow:Registering SigmoidGrad (<function _SigmoidGradGrad at 0x7fa3875c0668>) in gradient.
Level 1:tensorflow:Registering Sign (<function _SignGrad at 0x7fa3875c0578>) in gradient.
Level 1:tensorflow:Registering Sin (<function _SinGrad at 0x7fa3875c06e0>) in gradient.
Level 1:tensorflow:Registering Cos (<function _CosGrad at 0x7fa3875c0758>) in gradient.
Level 1:tensorflow:Registering Tan (<function _TanGrad at 0x7fa3875c07d0>) in gradient.
Level 1:tensorflow:Registering Asin (<function _AsinGrad at 0x7fa3875c0848>) in gradient.
Level 1:tensorflow:Registering Acos (<function _AcosGrad at 0x7fa3875c08c0>) in gradient.
Level 1:tensorflow:Registering Atan (<function _AtanGrad at 0x7fa3875c0938>) in gradient.
Level 1:tensorflow:Registering Atan2 (<function _Atan2Grad at 0x7fa3875c09b0>) in gradient.
Level 1:tensorflow:Registering AddN (<function _AddNGrad at 0x7fa3875c0a28>) in gradient.
Level 1:tensorflow:Registering Add (<function _AddGrad at 0x7fa3875c0aa0>) in gradient.
Level 1:tensorflow:Registering Sub (<function _SubGrad at 0x7fa3875c0b18>) in gradient.
Level 1:tensorflow:Registering Mul (<function _MulGrad at 0x7fa3875c0b90>) in gradient.
Level 1:tensorflow:Registering Div (<function _DivGrad at 0x7fa3875c0c08>) in gradient.
Level 1:tensorflow:Registering FloorDiv (<function _FloorDivGrad at 0x7fa3875c0c80>) in gradient.
Level 1:tensorflow:Registering TruncateDiv (<function _TruncateDivGrad at 0x7fa3875c0d70>) in gradient.
Level 1:tensorflow:Registering RealDiv (<function _RealDivGrad at 0x7fa3875c0cf8>) in gradient.
Level 1:tensorflow:Registering Pow (<function _PowGrad at 0x7fa3875c0e60>) in gradient.
Level 1:tensorflow:Registering Maximum (<function _MaximumGrad at 0x7fa3875c0ed8>) in gradient.
Level 1:tensorflow:Registering Minimum (<function _MinimumGrad at 0x7fa3875c0f50>) in gradient.
Level 1:tensorflow:Registering SquaredDifference (<function _SquaredDifferenceGrad at 0x7fa3875c40c8>) 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 0x7fa3875c4050>) in gradient.
Level 1:tensorflow:Registering MatMul (<function _MatMulGrad at 0x7fa3875c4140>) in gradient.
Level 1:tensorflow:Registering SparseMatMul (<function _SparseMatMulGrad at 0x7fa3875c41b8>) in gradient.
Level 1:tensorflow:Registering Floor (<function _FloorGrad at 0x7fa3875c4230>) in gradient.
Level 1:tensorflow:Registering Ceil (<function _CeilGrad at 0x7fa3875c42a8>) in gradient.
Level 1:tensorflow:Registering Round (<function _RoundGrad at 0x7fa3875c4320>) in gradient.
Level 1:tensorflow:Registering Rint (<function _RintGrad at 0x7fa3875c4398>) in gradient.
Level 1:tensorflow:Registering BatchMatMul (<function _BatchMatMul at 0x7fa3875c4410>) 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 0x7fa3875c4500>) in gradient.
Level 1:tensorflow:Registering Real (<function _RealGrad at 0x7fa3875c4578>) in gradient.
Level 1:tensorflow:Registering Imag (<function _ImagGrad at 0x7fa3875c4488>) in gradient.
Level 1:tensorflow:Registering Conj (<function _ConjGrad at 0x7fa3875c45f0>) in gradient.
Level 1:tensorflow:Registering ComplexAbs (<function _ComplexAbsGrad at 0x7fa3875c4668>) in gradient.
Level 1:tensorflow:Registering Cast (<function _CastGrad at 0x7fa3875c4758>) in gradient.
Level 1:tensorflow:Registering Cross (<function _CrossGrad at 0x7fa3875c46e0>) in gradient.
Level 1:tensorflow:Registering Cumsum (<function _CumsumGrad at 0x7fa3875c47d0>) in gradient.
Level 1:tensorflow:Registering Cumprod (<function _CumprodGrad at 0x7fa3875c4848>) 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 0x7fa3875d0500>) in gradient.
Level 1:tensorflow:Registering SparseAdd (<function _SparseAddGrad at 0x7fa3875d0578>) in gradient.
Level 1:tensorflow:Registering SparseTensorDenseAdd (<function _SparseTensorDenseAddGrad at 0x7fa3875d0668>) in gradient.
Level 1:tensorflow:Registering SparseReduceSum (<function _SparseReduceSumGrad at 0x7fa3875d05f0>) in gradient.
Level 1:tensorflow:Registering SparseTensorDenseMatMul (<function _SparseTensorDenseMatMulGrad at 0x7fa3875d06e0>) in gradient.
Level 1:tensorflow:Registering SparseDenseCwiseAdd (<function _SparseDenseCwiseAddGrad at 0x7fa3875d0758>) in gradient.
Level 1:tensorflow:Registering SparseDenseCwiseMul (<function _SparseDenseCwiseMulGrad at 0x7fa3875d0848>) in gradient.
Level 1:tensorflow:Registering SparseDenseCwiseDiv (<function _SparseDenseCwiseDivGrad at 0x7fa3875d08c0>) in gradient.
Level 1:tensorflow:Registering SparseSoftmax (<function _SparseSoftmaxGrad at 0x7fa3875d0938>) in gradient.
Level 1:tensorflow:Registering SparseSparseMaximum (<function _SparseSparseMaximumGrad at 0x7fa3875d09b0>) in gradient.
Level 1:tensorflow:Registering SparseSparseMinimum (<function _SparseSparseMinimumGrad at 0x7fa3875d0a28>) in gradient.
Level 1:tensorflow:Registering FFT (<function _FFTGrad at 0x7fa3875d8410>) in gradient.
Level 1:tensorflow:Registering IFFT (<function _IFFTGrad at 0x7fa3875d8c08>) in gradient.
Level 1:tensorflow:Registering FFT2D (<function _FFT2DGrad at 0x7fa3875d8c80>) in gradient.
Level 1:tensorflow:Registering IFFT2D (<function _IFFT2DGrad at 0x7fa3875d8cf8>) in gradient.
Level 1:tensorflow:Registering FFT3D (<function _FFT3DGrad at 0x7fa3875d8d70>) in gradient.
Level 1:tensorflow:Registering IFFT3D (<function _IFFT3DGrad at 0x7fa3875d8de8>) in gradient.
Level 1:tensorflow:Registering RFFT (<function _Grad at 0x7fa3875d8f50>) in gradient.
Level 1:tensorflow:Registering IRFFT (<function _Grad at 0x7fa3875df050>) in gradient.
Level 1:tensorflow:Registering RFFT2D (<function _Grad at 0x7fa3875df0c8>) in gradient.
Level 1:tensorflow:Registering IRFFT2D (<function _Grad at 0x7fa3875df140>) 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 0x7fa3875dfaa0>) in gradient.
Level 1:tensorflow:Registering TensorArrayReadV2 (<function _TensorArrayReadGrad at 0x7fa3875dfaa0>) in gradient.
Level 1:tensorflow:Registering TensorArrayRead (<function _TensorArrayReadGrad at 0x7fa3875dfaa0>) in gradient.
Level 1:tensorflow:Registering TensorArrayWriteV3 (<function _TensorArrayWriteGrad at 0x7fa3875dfb18>) in gradient.
Level 1:tensorflow:Registering TensorArrayWriteV2 (<function _TensorArrayWriteGrad at 0x7fa3875dfb18>) in gradient.
Level 1:tensorflow:Registering TensorArrayWrite (<function _TensorArrayWriteGrad at 0x7fa3875dfb18>) in gradient.
Level 1:tensorflow:Registering TensorArrayGatherV3 (<function _TensorArrayGatherGrad at 0x7fa3875dfb90>) in gradient.
Level 1:tensorflow:Registering TensorArrayGatherV2 (<function _TensorArrayGatherGrad at 0x7fa3875dfb90>) in gradient.
Level 1:tensorflow:Registering TensorArrayGather (<function _TensorArrayGatherGrad at 0x7fa3875dfb90>) in gradient.
Level 1:tensorflow:Registering TensorArrayScatterV3 (<function _TensorArrayScatterGrad at 0x7fa3875dfc08>) in gradient.
Level 1:tensorflow:Registering TensorArrayScatterV2 (<function _TensorArrayScatterGrad at 0x7fa3875dfc08>) in gradient.
Level 1:tensorflow:Registering TensorArrayScatter (<function _TensorArrayScatterGrad at 0x7fa3875dfc08>) in gradient.
Level 1:tensorflow:Registering TensorArrayConcatV3 (<function _TensorArrayConcatGrad at 0x7fa3875dfc80>) in gradient.
Level 1:tensorflow:Registering TensorArrayConcatV2 (<function _TensorArrayConcatGrad at 0x7fa3875dfc80>) in gradient.
Level 1:tensorflow:Registering TensorArrayConcat (<function _TensorArrayConcatGrad at 0x7fa3875dfc80>) in gradient.
Level 1:tensorflow:Registering TensorArraySplitV3 (<function _TensorArraySplitGrad at 0x7fa3875dfcf8>) in gradient.
Level 1:tensorflow:Registering TensorArraySplitV2 (<function _TensorArraySplitGrad at 0x7fa3875dfcf8>) in gradient.
Level 1:tensorflow:Registering TensorArraySplit (<function _TensorArraySplitGrad at 0x7fa3875dfcf8>) in gradient.
Level 1:tensorflow:Registering SymbolicGradient (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering Switch (<function _SwitchGrad at 0x7fa38758a398>) in gradient.
Level 1:tensorflow:Registering RefSwitch (<function _SwitchGrad at 0x7fa38758a398>) in gradient.
Level 1:tensorflow:Registering Merge (<function _MergeGrad at 0x7fa3875a3c80>) in gradient.
Level 1:tensorflow:Registering RefMerge (<function _RefMergeGrad at 0x7fa3875a3c08>) in gradient.
Level 1:tensorflow:Registering Exit (<function _ExitGrad at 0x7fa3875a3d70>) in gradient.
Level 1:tensorflow:Registering RefExit (<function _ExitGrad at 0x7fa3875a3d70>) in gradient.
Level 1:tensorflow:Registering NextIteration (<function _NextIterationGrad at 0x7fa3875a3cf8>) in gradient.
Level 1:tensorflow:Registering RefNextIteration (<function _RefNextIterationGrad at 0x7fa3875a3de8>) in gradient.
Level 1:tensorflow:Registering Enter (<function _EnterGrad at 0x7fa3875a3e60>) in gradient.
Level 1:tensorflow:Registering RefEnter (<function _RefEnterGrad at 0x7fa3875a3ed8>) in gradient.
Level 1:tensorflow:Registering LoopCond (<function _LoopCondGrad at 0x7fa3875a3f50>) in gradient.
Level 1:tensorflow:Registering ResizeNearestNeighbor (<function _ResizeNearestNeighborGrad at 0x7fa387539230>) in gradient.
Level 1:tensorflow:Registering ResizeBilinear (<function _ResizeBilinearGrad at 0x7fa3875340c8>) in gradient.
Level 1:tensorflow:Registering CropAndResize (<function _CropAndResizeGrad at 0x7fa387534140>) in gradient.
Level 1:tensorflow:Registering MatrixInverse (<function _MatrixInverseGrad at 0x7fa387534230>) in gradient.
Level 1:tensorflow:Registering MatrixDeterminant (<function _MatrixDeterminantGrad at 0x7fa387534938>) in gradient.
Level 1:tensorflow:Registering Cholesky (<function _CholeskyGrad at 0x7fa3875349b0>) in gradient.
Level 1:tensorflow:Registering MatrixSolve (<function _MatrixSolveGrad at 0x7fa387534aa0>) in gradient.
Level 1:tensorflow:Registering MatrixSolveLs (<function _MatrixSolveLsGrad at 0x7fa387534a28>) in gradient.
Level 1:tensorflow:Registering MatrixTriangularSolve (<function _MatrixTriangularSolveGrad at 0x7fa387534b18>) in gradient.
Level 1:tensorflow:Registering SelfAdjointEigV2 (<function _SelfAdjointEigV2Grad at 0x7fa387534b90>) in gradient.
Level 1:tensorflow:Registering Print (<function _PrintGrad at 0x7fa387534c80>) 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 0x7fa3873c5410>)) 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 0x7fa38739f848>)) in proto functions.
Level 1:tensorflow:Registering Conv2D,flops (<function _calc_conv_flops at 0x7fa3872f42a8>) in statistical functions.
Level 1:tensorflow:Registering DepthwiseConv2dNative,flops (<function _calc_depthwise_conv_flops at 0x7fa3872e66e0>) in statistical functions.
Level 1:tensorflow:Registering BiasAdd,flops (<function _calc_bias_add_flops at 0x7fa3872e6758>) in statistical functions.
Level 1:tensorflow:Registering Dilation2D,flops (<function _calc_dilation2d_flops at 0x7fa3872e6a28>) in statistical functions.
Level 1:tensorflow:Registering Conv2DBackpropInput (<function _Conv2DBackpropInputGrad at 0x7fa3872e6b18>) in gradient.
Level 1:tensorflow:Registering Conv2DBackpropFilter (<function _Conv2DBackpropFilterGrad at 0x7fa3872e6b90>) in gradient.
Level 1:tensorflow:Registering Conv3D (<function _Conv3DGrad at 0x7fa3872e6c08>) in gradient.
Level 1:tensorflow:Registering Conv3DBackpropInputV2 (<function _Conv3DBackpropInputGrad at 0x7fa3872e6c80>) in gradient.
Level 1:tensorflow:Registering Conv3DBackpropFilterV2 (<function _Conv3DBackpropFilterGrad at 0x7fa3872e6cf8>) in gradient.
Level 1:tensorflow:Registering AvgPool3D (<function _AvgPool3DGrad at 0x7fa3872e6d70>) in gradient.
Level 1:tensorflow:Registering AvgPool3DGrad (<function _AvgPool3DGradGrad at 0x7fa3872e6e60>) in gradient.
Level 1:tensorflow:Registering MaxPool3D (<function _MaxPool3DGrad at 0x7fa3872e6de8>) in gradient.
Level 1:tensorflow:Registering MaxPool3DGrad (<function _MaxPool3DGradGrad at 0x7fa3872e6f50>) in gradient.
Level 1:tensorflow:Registering MaxPool3DGradGrad (<function _MaxPool3DGradGradGrad at 0x7fa3872e6ed8>) in gradient.
Level 1:tensorflow:Registering Softmax (<function _SoftmaxGrad at 0x7fa3872ea050>) in gradient.
Level 1:tensorflow:Registering LogSoftmax (<function _LogSoftmaxGrad at 0x7fa3872ea140>) in gradient.
Level 1:tensorflow:Registering BiasAdd (<function _BiasAddGrad at 0x7fa3872ea1b8>) in gradient.
Level 1:tensorflow:Registering BiasAddGrad (<function _BiasAddGradGrad at 0x7fa3872ea230>) in gradient.
Level 1:tensorflow:Registering BiasAddV1 (<function _BiasAddGradV1 at 0x7fa3872ea0c8>) in gradient.
Level 1:tensorflow:Registering Relu (<function _ReluGrad at 0x7fa3872ea320>) in gradient.
Level 1:tensorflow:Registering EluGrad (<function _EluGradGrad at 0x7fa3872ea2a8>) in gradient.
Level 1:tensorflow:Registering Relu6 (<function _Relu6Grad at 0x7fa3872ea410>) in gradient.
Level 1:tensorflow:Registering Elu (<function _EluGrad at 0x7fa3872ea398>) in gradient.
Level 1:tensorflow:Registering Softplus (<function _SoftplusGrad at 0x7fa3872ea488>) in gradient.
Level 1:tensorflow:Registering SoftplusGrad (<function _SoftplusGradGrad at 0x7fa3872ea578>) in gradient.
Level 1:tensorflow:Registering Softsign (<function _SoftsignGrad at 0x7fa3872ea500>) in gradient.
Level 1:tensorflow:Registering ReluGrad (<function _ReluGradGrad at 0x7fa3872ea668>) in gradient.
Level 1:tensorflow:Registering SoftmaxCrossEntropyWithLogits (<function _SoftmaxCrossEntropyWithLogitsGrad at 0x7fa3872ea5f0>) in gradient.
Level 1:tensorflow:Registering SparseSoftmaxCrossEntropyWithLogits (<function _SparseSoftmaxCrossEntropyWithLogitsGrad at 0x7fa3872ea758>) in gradient.
Level 1:tensorflow:Registering Conv2D (<function _Conv2DGrad at 0x7fa3872ea7d0>) in gradient.
Level 1:tensorflow:Registering DepthwiseConv2dNative (<function _DepthwiseConv2dNativeGrad at 0x7fa3872ea848>) in gradient.
Level 1:tensorflow:Registering Dilation2D (<function _Dilation2DGrad at 0x7fa3872ea8c0>) in gradient.
Level 1:tensorflow:Registering LRN (<function _LRNGrad at 0x7fa3872ea9b0>) in gradient.
Level 1:tensorflow:Registering AvgPool (<function _AvgPoolGrad at 0x7fa3872ea938>) in gradient.
Level 1:tensorflow:Registering AvgPoolGrad (<function _AvgPoolGradGrad at 0x7fa3872eaaa0>) in gradient.
Level 1:tensorflow:Registering MaxPool (<function _MaxPoolGrad at 0x7fa3872eaa28>) in gradient.
Level 1:tensorflow:Registering MaxPoolWithArgmax (<function _MaxPoolGradWithArgmax at 0x7fa3872eab90>) in gradient.
Level 1:tensorflow:Registering MaxPoolGrad (<function _MaxPoolGradGrad at 0x7fa3872eab18>) in gradient.
Level 1:tensorflow:Registering MaxPoolGradGrad (<function _MaxPoolGradGradGrad at 0x7fa3872eac08>) in gradient.
Level 1:tensorflow:Registering FractionalMaxPool (<function _FractionalMaxPoolGrad at 0x7fa3872eac80>) in gradient.
Level 1:tensorflow:Registering FractionalAvgPool (<function _FractionalAvgPoolGrad at 0x7fa3872eacf8>) in gradient.
Level 1:tensorflow:Registering BatchNormWithGlobalNormalization (<function _BatchNormWithGlobalNormalizationGrad at 0x7fa3872ead70>) in gradient.
Level 1:tensorflow:Registering FusedBatchNorm (<function _FusedBatchNormGrad at 0x7fa3872eade8>) in gradient.
Level 1:tensorflow:Registering L2Loss (<function _L2LossGrad at 0x7fa3872eae60>) in gradient.
Level 1:tensorflow:Registering TopKV2 (<function _TopKGrad at 0x7fa3872eaed8>) in gradient.
Level 1:tensorflow:Registering TopK (<function _TopKGrad at 0x7fa3872eaed8>) in gradient.
Level 1:tensorflow:Registering CTCLoss (<function _CTCLossGrad at 0x7fa38726f050>) 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 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering BigQueryReader (None) in gradient.
Level 1:tensorflow:Registering CudnnRNN (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNBackprop (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNCanonicalToParams (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNParamsSize (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNNParamsToCanonical (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering CudnnRNN (<function _cudnn_rnn_backward at 0x7fa37e4f8758>) in gradient.
Level 1:tensorflow:Registering CudnnRNNParamsSize (<function call_cpp_shape_fn at 0x7fa3a16d9500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNNParamsToCanonical (<function call_cpp_shape_fn at 0x7fa3a16d9500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNNCanonicalToParams (<function call_cpp_shape_fn at 0x7fa3a16d9500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNN (<function call_cpp_shape_fn at 0x7fa3a16d9500>) in shape functions.
Level 1:tensorflow:Registering CudnnRNNBackprop (<function call_cpp_shape_fn at 0x7fa3a16d9500>) in shape functions.
Level 1:tensorflow:Registering ZeroInitializer (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering KmeansPlusPlusInitialization (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering NearestNeighbors (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering MaskedMatmul (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering WALSComputePartialLhsAndRhs (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering SparseFeatureCross (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering SparseFeatureCrossV2 (<function call_without_requiring at 0x7fa3a16d95f0>) 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 0x7fa3a16d95f0>) 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 0x7fa37cee32a8>)) in proto functions.
Level 1:tensorflow:Registering GRUBlockCell (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering GRUBlockCellGrad (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering GRUBlockCell (<function _GRUBlockCellGrad at 0x7fa37ce7d1b8>) in gradient.
Level 1:tensorflow:Registering BlockLSTM (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering BlockLSTMGrad (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering LSTMBlockCell (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering LSTMBlockCellGrad (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering LSTMBlockCell (<function _LSTMBlockCellGrad at 0x7fa37cd725f0>) in gradient.
Level 1:tensorflow:Registering BlockLSTM (<function _BlockLSTMGrad at 0x7fa37cd72668>) in gradient.
Level 1:tensorflow:Registering BipartiteMatch (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering ImageProjectiveTransform (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering ImageProjectiveTransform (<function call_cpp_shape_fn at 0x7fa3a16d9500>) in shape functions.
Level 1:tensorflow:Registering ImageProjectiveTransform (<function _image_projective_transform_grad at 0x7fa37cbcac08>) in gradient.
Level 1:tensorflow:Registering BipartiteMatch (None) in gradient.
Level 1:tensorflow:Registering SingleImageRandomDotStereograms (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering SingleImageRandomDotStereograms (None) in gradient.
Level 1:tensorflow:Registering BytesLimit (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering MaxBytesInUse (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering NcclAllReduce (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering NcclBroadcastRecv (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering NcclBroadcastSend (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering GatherTree (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering StatelessRandomNormal (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering StatelessRandomUniform (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering StatelessTruncatedNormal (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering BestSplits (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering CountExtremelyRandomStats (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering FinishedNodes (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering GrowTree (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering ReinterpretStringToFloat (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering SampleInputs (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering ScatterAddNdim (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering TopNInsert (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering TopNRemove (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering TreePredictions (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
Level 1:tensorflow:Registering UpdateFertileSlots (<function call_without_requiring at 0x7fa3a16d95f0>) in default shape functions.
2018-08-04 00:19:00.065082: 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.
2018-08-04 00:19:00.065733: 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.
2018-08-04 00:19:00.065743: 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.
2018-08-04 00:19:00.065764: 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.
2018-08-04 00:19:00.065769: 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

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