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Feature/log figure abstract #4975
Feature/log figure abstract #4975
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Hello @Haydnspass! Thanks for updating this PR. There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻 Comment last updated at 2021-02-26 14:46:43 UTC |
# Conflicts: # environment.yml # requirements.txt # tests/loggers/test_tensorboard.py # tests/loggers/test_wandb.py
Codecov Report
@@ Coverage Diff @@
## master #4975 +/- ##
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- Coverage 93% 46% -47%
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Files 159 159
Lines 11381 11332 -49
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- Hits 10626 5244 -5382
- Misses 755 6088 +5333 |
* Add colab badges to notebook Add colab badges to notebook to notebooks 4 & 5 * Add colab badges Co-authored-by: chaton <thomas@grid.ai>
* Prune CHANGELOG.md * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update CHANGELOG.md Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
…-AI#4861) * disable version if not required * disable version if not required * pep * chlog * improve test * improve test * parametrize test and update del_list * Update pytorch_lightning/callbacks/model_checkpoint.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * try appending version to already saved ckpt_file * Revert "try appending version to already saved ckpt_file" This reverts commit 710e05e. * add more assertions * use BoringModel Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch>
* Update isort config * Apply isort with new config * Fix typo in isort config * fix rebase Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Fix reset TensorRunningAccum * add test for TensorRunningAccum's reset method * fix CI failed due to PEP8 Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* Fix hang in DDP HPC accelerators init_device was never called * Update CHANGELOG.md
* support number * add two tests * wip * add ddp in special test * remove a test * move device to bottom * simplify test * update test * Update pytorch_lightning/core/step_result.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * resolve sync_ddp Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com>
* resolve bug * clean code * resolve comments * Update tests/trainer/optimization/test_multiple_optimizers.py Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com> * resolve another bug * add comments * use abs to find diff * update * resolve flake8 Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* remove nan loss whe missing * Update pytorch_lightning/core/lightning.py Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> * Apply suggestions from code review Co-authored-by: Carlos Mocholí <carlossmocholi@gmail.com> Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
* add test * resolve bug * udpate test * wrongly copy / paste * update test * resolve a second bug Co-authored-by: Ubuntu <ubuntu@ip-172-31-62-109.ec2.internal>
# Conflicts: # .drone.yml # .github/CODEOWNERS # .github/ISSUE_TEMPLATE/how-to-question.md # .github/PULL_REQUEST_TEMPLATE.md # .github/mergify.yml # .github/prepare-nightly_version.py # .github/workflows/ci_dockers.yml # .github/workflows/ci_test-conda.yml # .github/workflows/ci_test-full.yml # .github/workflows/ci_test-mnodes.yml # .github/workflows/events-nightly.yml # .github/workflows/release-pypi.yml # CHANGELOG.md # Makefile # README.md # benchmarks/generate_comparison.py # benchmarks/test_basic_parity.py # benchmarks/test_sharded_parity.py # dockers/base-conda/Dockerfile # dockers/base-cuda/Dockerfile # dockers/tpu-tests/Dockerfile # docs/.build_docs.sh # docs/source/_static/images/benchmarks/figure-parity-times.png # docs/source/advanced/multi_gpu.rst # docs/source/advanced/transfer_learning.rst # docs/source/common/optimizers.rst # docs/source/common/test_set.rst # docs/source/common/trainer.rst # docs/source/extensions/metrics.rst # docs/source/governance.rst # docs/source/index.rst # docs/source/starter/introduction_guide.rst # docs/source/starter/new-project.rst # environment.yml # legacy/zero_training.py # notebooks/06-mnist-tpu-training.ipynb # pl_examples/__init__.py # pl_examples/basic_examples/autoencoder.py # pl_examples/basic_examples/backbone_image_classifier.py # pl_examples/basic_examples/conv_sequential_example.py # pl_examples/basic_examples/dali_image_classifier.py # pl_examples/basic_examples/mnist_datamodule.py # pl_examples/basic_examples/simple_image_classifier.py # pl_examples/bug_report_model.py # pl_examples/domain_templates/computer_vision_fine_tuning.py # pl_examples/domain_templates/generative_adversarial_net.py # pl_examples/domain_templates/imagenet.py # pl_examples/domain_templates/reinforce_learn_Qnet.py # pl_examples/domain_templates/semantic_segmentation.py # pl_examples/domain_templates/unet.py # pyproject.toml # pytorch_lightning/__init__.py # pytorch_lightning/accelerators/accelerator.py # pytorch_lightning/accelerators/accelerator_connector.py # pytorch_lightning/accelerators/cpu_accelerator.py # pytorch_lightning/accelerators/ddp2_accelerator.py # pytorch_lightning/accelerators/ddp_accelerator.py # pytorch_lightning/accelerators/ddp_cpu_hpc_accelerator.py # pytorch_lightning/accelerators/ddp_cpu_spawn_accelerator.py # pytorch_lightning/accelerators/ddp_hpc_accelerator.py # pytorch_lightning/accelerators/ddp_spawn_accelerator.py # pytorch_lightning/accelerators/dp_accelerator.py # pytorch_lightning/accelerators/gpu_accelerator.py # pytorch_lightning/accelerators/horovod_accelerator.py # pytorch_lightning/accelerators/tpu_accelerator.py # pytorch_lightning/callbacks/early_stopping.py # pytorch_lightning/callbacks/lr_monitor.py # pytorch_lightning/callbacks/model_checkpoint.py # pytorch_lightning/core/hooks.py # pytorch_lightning/core/lightning.py # pytorch_lightning/core/optimizer.py # pytorch_lightning/core/saving.py # pytorch_lightning/core/step_result.py # pytorch_lightning/loggers/__init__.py # pytorch_lightning/loggers/comet.py # pytorch_lightning/loggers/mlflow.py # pytorch_lightning/loggers/neptune.py # pytorch_lightning/loggers/tensorboard.py # pytorch_lightning/loggers/wandb.py # pytorch_lightning/metrics/classification/precision_recall.py # pytorch_lightning/metrics/metric.py # pytorch_lightning/overrides/data_parallel.py # pytorch_lightning/plugins/ddp_plugin.py # pytorch_lightning/plugins/environments/slurm_environment.py # pytorch_lightning/plugins/environments/torchelastic_environment.py # pytorch_lightning/plugins/native_amp.py # pytorch_lightning/plugins/rpc_plugin.py # pytorch_lightning/plugins/sharded_plugin.py # pytorch_lightning/plugins/training_type/rpc_sequential.py # pytorch_lightning/profiler/profilers.py # pytorch_lightning/setup_tools.py # pytorch_lightning/trainer/connectors/checkpoint_connector.py # pytorch_lightning/trainer/connectors/debugging_connector.py # pytorch_lightning/trainer/connectors/logger_connector/epoch_result_store.py # pytorch_lightning/trainer/connectors/logger_connector/logger_connector.py # pytorch_lightning/trainer/connectors/optimizer_connector.py # pytorch_lightning/trainer/connectors/precision_connector.py # pytorch_lightning/trainer/connectors/slurm_connector.py # pytorch_lightning/trainer/evaluation_loop.py # pytorch_lightning/trainer/optimizers.py # pytorch_lightning/trainer/properties.py # pytorch_lightning/trainer/trainer.py # pytorch_lightning/trainer/training_loop.py # pytorch_lightning/trainer/training_tricks.py # pytorch_lightning/tuner/batch_size_scaling.py # pytorch_lightning/utilities/__init__.py # pytorch_lightning/utilities/apply_func.py # pytorch_lightning/utilities/distributed.py # pytorch_lightning/utilities/parsing.py # pytorch_lightning/utilities/seed.py # pytorch_lightning/utilities/xla_device_utils.py # requirements.txt # requirements/extra.txt # setup.py # tests/__init__.py # tests/accelerators/test_multi_nodes_gpu.py # tests/callbacks/test_callbacks.py # tests/callbacks/test_early_stopping.py # tests/callbacks/test_lr_monitor.py # tests/checkpointing/test_checkpoint_callback_frequency.py # tests/checkpointing/test_legacy_checkpoints.py # tests/checkpointing/test_model_checkpoint.py # tests/checkpointing/test_trainer_checkpoint.py # tests/conftest.py # tests/core/test_datamodules.py # tests/core/test_lightning_module.py # tests/core/test_lightning_optimizer.py # tests/core/test_memory.py # tests/deprecated_api/test_remove_1-3.py # tests/helpers/boring_model.py # tests/helpers/datasets.py # tests/helpers/utils.py # tests/loggers/test_all.py # tests/loggers/test_base.py # tests/loggers/test_comet.py # tests/loggers/test_mlflow.py # tests/loggers/test_neptune.py # tests/loggers/test_tensorboard.py # tests/loggers/test_wandb.py # tests/metrics/classification/test_f_beta.py # tests/metrics/test_metric.py # tests/models/conf/config.yaml # tests/models/test_amp.py # tests/models/test_cpu.py # tests/models/test_hooks.py # tests/models/test_horovod.py # tests/models/test_hparams.py # tests/models/test_restore.py # tests/models/test_sync_batchnorm.py # tests/models/test_torchscript.py # tests/plugins/test_rpc_sequential_plugin.py # tests/special_tests.sh # tests/test_profiler.py # tests/trainer/dynamic_args/test_multiple_optimizers.py # tests/trainer/flags/test_fast_dev_run.py # tests/trainer/legacy_deprecate_flow_log/test_eval_loop_dict_return.py # tests/trainer/logging_/test_eval_loop_logging_1_0.py # tests/trainer/logging_/test_progress_bar_logging.py # tests/trainer/logging_/test_train_loop_logging_1_0.py # tests/trainer/optimization/test_manual_optimization.py # tests/trainer/optimization/test_multiple_optimizers.py # tests/trainer/optimization/test_optimizers.py # tests/trainer/test_supporters.py # tests/trainer/test_trainer.py # tests/utilities/test_parsing.py # tests/utilities/test_seed.py # tests/utilities/test_xla_device_utils.py
I am going to mark this PR now ready for review although some of the checks do not pass. However these affect only files that I have not touched, so I guess they are failing in master as well? Or am I missing something? Otherwise, input/help appreciated. |
hi @Haydnspass, |
Closed in favor of PR on a clean branch. |
What does this PR do?
Make abstraction layer for figure logging, i.e. add default for logging figures for all implemented loggers.
My suggestion to #4973
ToDo:
MLFlow. How to include the step here?
Neptune needs a step argument
TestTube(skipped for now)Base implementation (
return None
)Tensorboard
Comet.ML
CSV (defaults to base)
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