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Could not determine jupyterlab build status without nodejs
Could not determine jupyterlab build status without nodejs












could not determine jupyterlab build status without nodejs

Per user-direction, the job has been aborted. Primary job terminated normally, but 1 process returnedĪ non-zero exit code.

could not determine jupyterlab build status without nodejs

14:53:00,738 _loader: Merging specification from /home/admin/cv_samples_1.3/efficientdet/specs/efficientdet_d1_train.txtįile "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/efficientdet/scripts/train.py", line 117, in įile "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/efficientdet/scripts/train.py", line 35, in mainįile "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/efficientdet/utils/spec_loader.py", line 79, in load_experiment_specįile "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/efficientdet/utils/spec_loader.py", line 59, in load_protoįile "/root/.cache/bazel/_bazel_root/ed34e6d125608f91724fda23656f1726/execroot/ai_infra/bazel-out/k8-fastbuild/bin/magnet/packages/iva/build_nfiles/ai_infra/iva/efficientdet/utils/spec_loader.py", line 44, in _load_from_fileįileNotFoundError: No such file or directory: '/home/admin/cv_samples_1.3/efficientdet/specs/efficientdet_d1_train.txt' 14:53:00,737 _loader: Merging specification from /home/admin/cv_samples_1.3/efficientdet/specs/efficientdet_d1_train.txt home/admin/cv_samples_1.3/efficientdet/specs/efficientdet_d1_train.txt Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. WARNING:tensorflow:Deprecation warnings have been disabled. Matplotlib created a temporary config/cache directory at /tmp/matplotlib-gteoypbk because the default path (/.config/matplotlib) is not a writable directory it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing. Hello tried the command which you gave me !! However it is throwing out the following error even though the experiment spec file is present at that location (tlt_env) tao efficientdet train -gpus 2 -use_amp -e /home/admin/cv_samples_1.3/efficientdet/specs/efficientdet_d1_train.txt -d /home/admin/tao-experiments/efficientdet/experiment_dir_unpruned -k nvidia_tlt

could not determine jupyterlab build status without nodejs

#COULD NOT DETERMINE JUPYTERLAB BUILD STATUS WITHOUT NODEJS HOW TO#

Saving file at /efficientdet-exp.ipynbīut I guess this is not what you wanted right?Ĭan you tell me what I should be looking for in the terminal and how to do that? ERROR | No such comm target registered: usr/lib/python3.8/json/encoder.py:257: UserWarning: date_default is deprecated since jupyter_client 7.0.0. (127.0.0.1) 1.68ms referer= /usr/lib/python3.8/json/encoder.py:257: UserWarning: date_default is deprecated since jupyter_client 7.0.0. Could not determine jupyterlab build status without nodejs To access the server, open this file in a browser:įile:///home/admin/.local/share/jupyter/runtime/jpserver-2894470-open.html Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). Serving notebooks from local directory: /home/admin/cv_samples_1.3/efficientdet nbclassic | extension was successfully loaded. jupyterlab | extension was successfully loaded. JupyterLab application directory is /home/admin/.virtualenvs/tlt_env/share/jupyter/lab JupyterLab extension loaded from /home/admin/.virtualenvs/tlt_env/lib/python3.8/site-packages/jupyterlab nbclassic | extension was successfully linked. jupyterlab | extension was successfully linked. Hello with the output, On the terminal after launching the jupyter notebook and running the training cell I can only see the following content.














Could not determine jupyterlab build status without nodejs