lightning/environment.yml

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# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This is Conda environment file
# Usage: `conda env update -f environment.yml`
name:
lightning
channels:
- conda-forge
- pytorch
- pytorch-test
- pytorch-nightly
dependencies:
- python>=3.6
- pip>20.1
- numpy>=1.16.4
- pytorch>=1.4
- future>=0.17.1
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- PyYAML>=5.1
- tqdm>=4.41.0
Add non-existing resume_from_checkpoint acceptance for auto-resubmit (#4402) * Add empty resume_from_checkpoint acceptance #4366 * Fix general error catch with focused file check * Add fsspec HTTP extras Add fsspec's HTTPFileSystem support through http extras. pl has supported remote http file (e.g. #2925), so this commit do not add new functionality. * Fix potential too much logging in DDP * Add PR changelog * Add well-written argument explanation Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Fix DDP-compatible restore logging Notify from where the states are restored. This feature temporally deleted as a result of PR review. With succeeding review, added with DDP compatibility. * Fix utility import pathes * Refactor load step commentaries * Refactor hpc ckpt suffix acquisition * Refactor restore/hpc_load match * Refactor hpc load trial * Refactor checkpoint dir check * Refactor unneeded function nest * Refactor nested If * Refactor duplicated cache clear * Refactor attempt flow with if/elif * Fix pip8 * Refactor hook commentary Co-authored-by: chaton <thomas@grid.ai> * Fix pep8 * Refactor hpc load checkpoint path acquisition * Fix pip8 * Fix typo Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Fix typo Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Fix doc Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Refactor None Union type with Optional * Fix build-doc CI failure debuged in #5329 * Fix fsspec import during build-doc #5329 * Fix test epoch Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> * Fix test with latest test models * . Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Sean Naren <sean.narenthiran@gmail.com> Co-authored-by: Roger Shieh <sh.rog@protonmail.ch> (cherry picked from commit b0051e8c036fa3312ad4d37aa7141bea64ac6148)
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- fsspec[http]>=0.8.1
#- tensorboard>=2.2.0 # not needed, already included in pytorch
# Optional
#- nvidia-apex # missing for py3.8
Rework of Sklearn Metrics (#1327) * Create utils.py * Create __init__.py * redo sklearn metrics * add some more metrics * add sklearn metrics * Create __init__.py * redo sklearn metrics * New metric classes (#1326) * Create metrics package * Create metric.py * Create utils.py * Create __init__.py * add tests for metric utils * add docstrings for metrics utils * add function to recursively apply other function to collection * add tests for this function * update test * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * update metric name * remove example docs * fix tests * add metric tests * fix to tensor conversion * fix apply to collection * Update CHANGELOG.md * Update pytorch_lightning/metrics/metric.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * remove tests from init * add missing type annotations * rename utils to convertors * Create metrics.rst * Update index.rst * Update index.rst * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/metrics/convertors.py Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * add doctest example * rename file and fix imports * added parametrized test * replace lambda with inlined function * rename apply_to_collection to apply_func * Separated class description from init args * Apply suggestions from code review Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> * adjust random values * suppress output when seeding * remove gpu from doctest * Add requested changes and add ellipsis for doctest * forgot to push these files... * add explicit check for dtype to convert to * fix ddp tests * remove explicit ddp destruction Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * add sklearn metrics * start adding sklearn tests * fix typo * return x and y only for curves * fix typo * add missing tests for sklearn funcs * imports * __all__ * imports * fix sklearn arguments * fix imports * update requirements * Update CHANGELOG.md * Update test_sklearn_metrics.py * formatting * formatting * format * fix all warnings and formatting problems * Update environment.yml * Update requirements-extra.txt * Update environment.yml * Update requirements-extra.txt * fix all warnings and formatting problems * Update CHANGELOG.md * docs * inherit * docs inherit. * docs * Apply suggestions from code review Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> * docs * req * min * Apply suggestions from code review Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: Jirka <jirka@pytorchlightning.ai> Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com> Co-authored-by: Nicki Skafte <skaftenicki@gmail.com> Co-authored-by: Tullie Murrell <tulliemurrell@gmail.com>
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- scikit-learn>=0.20.0
- matplotlib>=3.1.1
- omegaconf>=2.0.0
- torchtext>=0.5
# Examples
- torchvision>=0.5
- pip:
- test-tube>=0.7.5
- mlflow>=1.0.0
- comet_ml>=3.1.12
- wandb>=0.8.21
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- neptune-client>=0.4.109
- horovod>=0.21.2
- onnxruntime>=1.3.0
- gym>=0.17.0