Using TensorFlow backend.
Level 1:tensorflow:Registering FakeQuantWithMinMaxArgs (<function _FakeQuantWithMinMaxArgsGradient at 0x141c336e0>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVars (<function _FakeQuantWithMinMaxVarsGradient at 0x141cdd1b8>) in gradient.
Level 1:tensorflow:Registering FakeQuantWithMinMaxVarsPerChannel (<function _FakeQuantWithMinMaxVarsPerChannelGradient at 0x141cdd230>) in gradient.
Level 1:tensorflow:Registering MatMul,flops (<function _calc_mat_mul_flops at 0x141e8be60>) 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 0x141f1cc08>)) 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 0x141f1d578>)) in proto functions.
Level 1:tensorflow:Registering ReadVariableOp ...
The rest of the test output was removed since it exceeds the threshold of 1024 bytes.