Script exit with exit code 137
2019-12-20 17:01:25.849115: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-20 17:01:25.859575: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199995000 Hz
2019-12-20 17:01:25.860928: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5950ad0 executing computations on platform Host. Devices:
2019-12-20 17:01:25.860961: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
WARNING:tensorflow:No training configuration found in save file: the model was *not* compiled. Compile it manually.
WARNING:tensorflow:No training configuration found in save file: the model was *not* compiled. Compile it manually.
2019-12-20 17:01:30.100011: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
2019-12-20 17:01:30.135403: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
2019-12-20 17:01:30.147989: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
2019-12-20 17:01:31.031181: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
WARNING:tensorflow:No training configuration found in save file: the model was *not* compiled. Compile it manually.
2019-12-20 17:07:36.158789: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 262822840 exceeds 10% of system memory.
WARNING:tensorflow:Entity <function update_centroids at 0x7fd72acf3ed8> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Unable to locate the source code of <function update_centroids at 0x7fd72acf3ed8>. Note that functions defined in certain environments, like the interactive Python shell do not expose their source code. If that is the case, you should to define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert. Original error: could not get source code
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