Using TensorFlow backend.
Level 1:tensorflow:Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x1410fdd70>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x141187e60>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x141187ed8>) in gradient.
Level 1:tensorflow:Registering MatMul,flops (<function _calc_mat_mul_flops at 0x14134ab90>) 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 0x1413dc938>)) 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 0x1413de500>)) in proto functions.
Level 1:tensorflow:Registering ReadVariableOp ...
The rest of the test output was removed since it exceeds the threshold of 1024 bytes.