Created
April 25, 2020 06:25
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| [NbConvertApp] Converting notebook __notebook__.ipynb to notebook | |
| [NbConvertApp] Executing notebook with kernel: python3 | |
| 2020-04-25 02:07:01.976986: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F | |
| 2020-04-25 02:07:01.998346: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000175000 Hz | |
| 2020-04-25 02:07:02.000270: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5610c4dfcb60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: | |
| 2020-04-25 02:07:02.000319: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version | |
| 2020-04-25 02:07:02.021687: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job worker -> {0 -> 10.0.0.2:8470} | |
| 2020-04-25 02:07:02.021760: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job localhost -> {0 -> localhost:30013} | |
| 2020-04-25 02:07:02.040809: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job worker -> {0 -> 10.0.0.2:8470} | |
| 2020-04-25 02:07:02.040945: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job localhost -> {0 -> localhost:30013} | |
| 2020-04-25 02:07:02.045507: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:390] Started server with target: grpc://localhost:30013 | |
| 2020-04-25 02:07:05.305056: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:07:05.354452: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:07:05.387079: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:07:05.620050: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:16:54.376517: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: {{function_node __inference_distributed_function_529926}} End of sequence | |
| [[{{node cond_14/else/_139/IteratorGetNext}}]] | |
| 2020-04-25 02:24:57.412101: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: {{function_node __inference_distributed_function_969761}} End of sequence | |
| [[{{node cond_9/else/_84/IteratorGetNext}}]] | |
| 2020-04-25 02:33:08.686316: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: {{function_node __inference_distributed_function_1409599}} End of sequence | |
| [[{{node cond_12/else/_117/IteratorGetNext}}]] | |
| 2020-04-25 02:41:24.765419: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: 3 root error(s) found. | |
| (0) Out of range: {{function_node __inference_distributed_function_1849425}} End of sequence | |
| [[{{node cond_13/else/_128/IteratorGetNext}}]] | |
| (1) Out of range: {{function_node __inference_distributed_function_1849425}} End of sequence | |
| [[{{node cond_12/else/_117/IteratorGetNext}}]] | |
| (2) Out of range: {{function_node __inference_distributed_function_1849425}} End of sequence | |
| [[{{node cond_11/else/_106/IteratorGetNext}}]] | |
| 0 successful operations. | |
| 6 derived errors ignored. | |
| [NbConvertApp] ERROR | Kernel died while waiting for execute reply. | |
| Traceback (most recent call last): | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 478, in _poll_for_reply | |
| msg = self.kc.shell_channel.get_msg(timeout=timeout) | |
| File "/opt/conda/lib/python3.6/site-packages/jupyter_client/blocking/channels.py", line 57, in get_msg | |
| raise Empty | |
| queue.Empty | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/opt/conda/bin/jupyter-nbconvert", line 11, in <module> | |
| sys.exit(main()) | |
| File "/opt/conda/lib/python3.6/site-packages/jupyter_core/application.py", line 268, in launch_instance | |
| return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs) | |
| File "/opt/conda/lib/python3.6/site-packages/traitlets/config/application.py", line 664, in launch_instance | |
| app.start() | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 340, in start | |
| self.convert_notebooks() | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 510, in convert_notebooks | |
| self.convert_single_notebook(notebook_filename) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 481, in convert_single_notebook | |
| output, resources = self.export_single_notebook(notebook_filename, resources, input_buffer=input_buffer) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 410, in export_single_notebook | |
| output, resources = self.exporter.from_filename(notebook_filename, resources=resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 179, in from_filename | |
| return self.from_file(f, resources=resources, **kw) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 197, in from_file | |
| return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/notebook.py", line 32, in from_notebook_node | |
| nb_copy, resources = super(NotebookExporter, self).from_notebook_node(nb, resources, **kw) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 139, in from_notebook_node | |
| nb_copy, resources = self._preprocess(nb_copy, resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 316, in _preprocess | |
| nbc, resc = preprocessor(nbc, resc) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/base.py", line 47, in __call__ | |
| return self.preprocess(nb, resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 405, in preprocess | |
| nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/base.py", line 69, in preprocess | |
| nb.cells[index], resources = self.preprocess_cell(cell, resources, index) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 438, in preprocess_cell | |
| reply, outputs = self.run_cell(cell, cell_index, store_history) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 578, in run_cell | |
| exec_reply = self._poll_for_reply(parent_msg_id, cell, timeout) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 483, in _poll_for_reply | |
| self._check_alive() | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 510, in _check_alive | |
| raise DeadKernelError("Kernel died") | |
| nbconvert.preprocessors.execute.DeadKernelError: Kernel died | |
| [NbConvertApp] Converting notebook __notebook__.ipynb to html | |
| [NbConvertApp] Writing 393544 bytes to __results__.html |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| [NbConvertApp] Converting notebook __notebook__.ipynb to notebook | |
| [NbConvertApp] Executing notebook with kernel: python3 | |
| 2020-04-25 02:07:01.976986: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F | |
| 2020-04-25 02:07:01.998346: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000175000 Hz | |
| 2020-04-25 02:07:02.000270: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5610c4dfcb60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: | |
| 2020-04-25 02:07:02.000319: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version | |
| 2020-04-25 02:07:02.021687: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job worker -> {0 -> 10.0.0.2:8470} | |
| 2020-04-25 02:07:02.021760: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job localhost -> {0 -> localhost:30013} | |
| 2020-04-25 02:07:02.040809: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job worker -> {0 -> 10.0.0.2:8470} | |
| 2020-04-25 02:07:02.040945: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:300] Initialize GrpcChannelCache for job localhost -> {0 -> localhost:30013} | |
| 2020-04-25 02:07:02.045507: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:390] Started server with target: grpc://localhost:30013 | |
| 2020-04-25 02:07:05.305056: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:07:05.354452: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:07:05.387079: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:07:05.620050: W tensorflow/core/platform/cloud/google_auth_provider.cc:178] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with "Not found: Could not locate the credentials file.". Retrieving token from GCE failed with "Cancelled: GCE check skipped due to presence of $NO_GCE_CHECK environment variable.". | |
| 2020-04-25 02:16:54.376517: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: {{function_node __inference_distributed_function_529926}} End of sequence | |
| [[{{node cond_14/else/_139/IteratorGetNext}}]] | |
| 2020-04-25 02:24:57.412101: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: {{function_node __inference_distributed_function_969761}} End of sequence | |
| [[{{node cond_9/else/_84/IteratorGetNext}}]] | |
| 2020-04-25 02:33:08.686316: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: {{function_node __inference_distributed_function_1409599}} End of sequence | |
| [[{{node cond_12/else/_117/IteratorGetNext}}]] | |
| 2020-04-25 02:41:24.765419: W tensorflow/core/distributed_runtime/eager/remote_tensor_handle_data.cc:75] Unable to destroy remote tensor handles. If you are running a tf.function, it usually indicates some op in the graph gets an error: 3 root error(s) found. | |
| (0) Out of range: {{function_node __inference_distributed_function_1849425}} End of sequence | |
| [[{{node cond_13/else/_128/IteratorGetNext}}]] | |
| (1) Out of range: {{function_node __inference_distributed_function_1849425}} End of sequence | |
| [[{{node cond_12/else/_117/IteratorGetNext}}]] | |
| (2) Out of range: {{function_node __inference_distributed_function_1849425}} End of sequence | |
| [[{{node cond_11/else/_106/IteratorGetNext}}]] | |
| 0 successful operations. | |
| 6 derived errors ignored. | |
| [NbConvertApp] ERROR | Kernel died while waiting for execute reply. | |
| Traceback (most recent call last): | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 478, in _poll_for_reply | |
| msg = self.kc.shell_channel.get_msg(timeout=timeout) | |
| File "/opt/conda/lib/python3.6/site-packages/jupyter_client/blocking/channels.py", line 57, in get_msg | |
| raise Empty | |
| queue.Empty | |
| During handling of the above exception, another exception occurred: | |
| Traceback (most recent call last): | |
| File "/opt/conda/bin/jupyter-nbconvert", line 11, in <module> | |
| sys.exit(main()) | |
| File "/opt/conda/lib/python3.6/site-packages/jupyter_core/application.py", line 268, in launch_instance | |
| return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs) | |
| File "/opt/conda/lib/python3.6/site-packages/traitlets/config/application.py", line 664, in launch_instance | |
| app.start() | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 340, in start | |
| self.convert_notebooks() | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 510, in convert_notebooks | |
| self.convert_single_notebook(notebook_filename) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 481, in convert_single_notebook | |
| output, resources = self.export_single_notebook(notebook_filename, resources, input_buffer=input_buffer) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/nbconvertapp.py", line 410, in export_single_notebook | |
| output, resources = self.exporter.from_filename(notebook_filename, resources=resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 179, in from_filename | |
| return self.from_file(f, resources=resources, **kw) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 197, in from_file | |
| return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/notebook.py", line 32, in from_notebook_node | |
| nb_copy, resources = super(NotebookExporter, self).from_notebook_node(nb, resources, **kw) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 139, in from_notebook_node | |
| nb_copy, resources = self._preprocess(nb_copy, resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/exporters/exporter.py", line 316, in _preprocess | |
| nbc, resc = preprocessor(nbc, resc) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/base.py", line 47, in __call__ | |
| return self.preprocess(nb, resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 405, in preprocess | |
| nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/base.py", line 69, in preprocess | |
| nb.cells[index], resources = self.preprocess_cell(cell, resources, index) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 438, in preprocess_cell | |
| reply, outputs = self.run_cell(cell, cell_index, store_history) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 578, in run_cell | |
| exec_reply = self._poll_for_reply(parent_msg_id, cell, timeout) | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 483, in _poll_for_reply | |
| self._check_alive() | |
| File "/opt/conda/lib/python3.6/site-packages/nbconvert/preprocessors/execute.py", line 510, in _check_alive | |
| raise DeadKernelError("Kernel died") | |
| nbconvert.preprocessors.execute.DeadKernelError: Kernel died | |
| [NbConvertApp] Converting notebook __notebook__.ipynb to html | |
| [NbConvertApp] Writing 393544 bytes to __results__.html |
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