Script exit with exit code 134
2019-12-06 15:13:55.967418: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-06 15:13:55.978562: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2199995000 Hz
2019-12-06 15:13:55.980052: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3c9c6d0 executing computations on platform Host. Devices:
2019-12-06 15:13:55.980096: 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.
2019-12-06 15:14:00.654343: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
2019-12-06 15:14:00.712379: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
2019-12-06 15:14:00.732992: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 52100608 exceeds 10% of system memory.
2019-12-06 15:14:01.695816: 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.
2019-12-06 15:18:14.452232: W tensorflow/core/framework/cpu_allocator_impl.cc:81] Allocation of 132254960 exceeds 10% of system memory.
WARNING:tensorflow:Entity <function update_centroids at 0x7ffa1b4f5ed8> 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 0x7ffa1b4f5ed8>. 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
terminate called after throwing an instance of 'std::length_error'
what(): basic_string::append
Aborted