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$ TF_CPP_MIN_VLOG_LEVEL=2 python gpu.py
I tensorflow/core/common_runtime/session_factory.cc:75] SessionFactory type DIRECT_SESSION accepts target:
I tensorflow/core/common_runtime/session_factory.cc:79] SessionFactory type GRPC_SESSION does not accept target:
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
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.
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.
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.
I tensorflow/core/common_runtime/local_device.cc:40] Local device intra op parallelism threads: 8
I tensorflow/core/common_runtime/direct_session.cc:83] Direct session inter op parallelism threads: 8
Device mapping: no known devices.
I tensorflow/core/common_runtime/direct_session.cc:257] Device mapping:
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping _SOURCE to 0
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping _SINK to 1
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping b to 2
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping a to 3
I tensorflow/core/common_runtime/simple_graph_execution_state.cc:235] Mapping MatMul to 4
// [...] // the rest is related to graph computing
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