diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-10 11:52:20 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-10 11:52:20 +0000 |
| commit | f418c7bdd34a0a4da94e901568a1a78e5179d3bd (patch) | |
| tree | 16dadda3d236441a4be4baa3c74ed221639c2708 | |
| parent | 4c0176407d1c1f22f733d6abad4654e0f6fa8651 (diff) | |
automatic import of python-wandb
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-wandb.spec | 405 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 407 insertions, 0 deletions
@@ -0,0 +1 @@ +/wandb-0.14.2.tar.gz diff --git a/python-wandb.spec b/python-wandb.spec new file mode 100644 index 0000000..a10a7f9 --- /dev/null +++ b/python-wandb.spec @@ -0,0 +1,405 @@ +%global _empty_manifest_terminate_build 0 +Name: python-wandb +Version: 0.14.2 +Release: 1 +Summary: A CLI and library for interacting with the Weights and Biases API. +License: MIT license +URL: https://github.com/wandb/wandb +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/27/8c/450c329e607e7b09413e27a5953adbe0ee61071fb54370fa3e4424fec9ed/wandb-0.14.2.tar.gz +BuildArch: noarch + +Requires: python3-Click +Requires: python3-GitPython +Requires: python3-requests +Requires: python3-psutil +Requires: python3-sentry-sdk +Requires: python3-docker-pycreds +Requires: python3-PyYAML +Requires: python3-pathtools +Requires: python3-setproctitle +Requires: python3-setuptools +Requires: python3-appdirs +Requires: python3-typing-extensions +Requires: python3-dataclasses +Requires: python3-protobuf +Requires: python3-protobuf +Requires: python3-protobuf +Requires: python3-protobuf +Requires: python3-httpx +Requires: python3-boto3 +Requires: python3-azure-storage-blob +Requires: python3-google-cloud-storage +Requires: python3-grpcio +Requires: python3-kubernetes +Requires: python3-minio +Requires: python3-google-cloud-storage +Requires: python3-sh +Requires: python3-awscli +Requires: python3-nbconvert +Requires: python3-nbformat +Requires: python3-chardet +Requires: python3-iso8601 +Requires: python3-typing-extensions +Requires: python3-boto3 +Requires: python3-botocore +Requires: python3-google-auth +Requires: python3-google-cloud-compute +Requires: python3-google-cloud-storage +Requires: python3-google-cloud-artifact-registry +Requires: python3-kubernetes +Requires: python3-numpy +Requires: python3-moviepy +Requires: python3-pillow +Requires: python3-bokeh +Requires: python3-soundfile +Requires: python3-plotly +Requires: python3-rdkit-pypi +Requires: python3-cloudpickle +Requires: python3-sweeps + +%description +<div align="center"> + <img src="https://i.imgur.com/RUtiVzH.png" width="600" /><br><br> +</div> + +# Weights and Biases [](https://pypi.python.org/pypi/wandb) [](https://anaconda.org/conda-forge/wandb) [](https://circleci.com/gh/wandb/wandb) [](https://codecov.io/gh/wandb/wandb) + +Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. + +- Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. +- Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. +- Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. +- Reproduce any model, with saved code, hyperparameters, launch commands, input data, and resulting model weights. + +[Sign up for a free account →](https://wandb.ai/login?signup=true) + +## Features + +- Store hyper-parameters used in a training run +- Search, compare, and visualize training runs +- Analyze system usage metrics alongside runs +- Collaborate with team members +- Replicate historic results +- Run parameter sweeps +- Keep records of experiments available forever + +[Documentation →](https://docs.wandb.com) + +## Quickstart + +```shell +pip install wandb +``` + +In your training script: + +```python +import wandb + +# Your custom arguments defined here +args = ... + +wandb.init(config=args, project="my-project") +wandb.config["more"] = "custom" + + +def training_loop(): + while True: + # Do some machine learning + epoch, loss, val_loss = ... + # Framework agnostic / custom metrics + wandb.log({"epoch": epoch, "loss": loss, "val_loss": val_loss}) +``` + +If you're already using Tensorboard or [TensorboardX](https://github.com/lanpa/tensorboardX), you can integrate with one line: + +```python +wandb.init(sync_tensorboard=True) +``` + +## Running your script + +Run `wandb login` from your terminal to signup or authenticate your machine (we store your api key in ~/.netrc). You can also set the `WANDB_API_KEY` environment variable with a key from your [settings](https://app.wandb.ai/settings). + +Run your script with `python my_script.py` and all metadata will be synced to the cloud. You will see a url in your terminal logs when your script starts and finishes. Data is staged locally in a directory named _wandb_ relative to your script. If you want to test your script without syncing to the cloud you can set the environment variable `WANDB_MODE=dryrun`. + +If you are using [docker](https://docker.com) to run your code, we provide a wrapper command `wandb docker` that mounts your current directory, sets environment variables, and ensures the wandb library is installed. Training your models in docker gives you the ability to restore the exact code and environment with the `wandb restore` command. + +## Web Interface + +[Sign up for a free account →](https://wandb.com) +[](https://youtu.be/EeqhOSvNX-A) +[Introduction video →](https://youtu.be/EeqhOSvNX-A) + +## Detailed Usage + +Framework specific and detailed usage can be found in our [documentation](http://docs.wandb.com/). + +## Testing + +To run basic test use `make test`. More detailed information can be found at CONTRIBUTING.md. + +We use [circleci](https://circleci.com) for CI. + +# Academic Researchers +If you'd like a free academic account for your research group, [reach out to us →](https://www.wandb.com/academic) + +We make it easy to cite W&B in your published paper. [Learn more →](https://www.wandb.com/academic) +[](https://www.wandb.com/academic) + +## Community +Got questions, feedback or want to join a community of ML engineers working on exciting projects? + +<a href="https://bit.ly/wb-slack"><img src="https://svgshare.com/i/M93.svg" alt="slack" width="55"/></a> Join our [slack](https://bit.ly/wb-slack) community. + +[](https://twitter.com/weights_biases) Follow us on [Twitter](https://twitter.com/weights_biases). + + +%package -n python3-wandb +Summary: A CLI and library for interacting with the Weights and Biases API. +Provides: python-wandb +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-wandb +<div align="center"> + <img src="https://i.imgur.com/RUtiVzH.png" width="600" /><br><br> +</div> + +# Weights and Biases [](https://pypi.python.org/pypi/wandb) [](https://anaconda.org/conda-forge/wandb) [](https://circleci.com/gh/wandb/wandb) [](https://codecov.io/gh/wandb/wandb) + +Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. + +- Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. +- Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. +- Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. +- Reproduce any model, with saved code, hyperparameters, launch commands, input data, and resulting model weights. + +[Sign up for a free account →](https://wandb.ai/login?signup=true) + +## Features + +- Store hyper-parameters used in a training run +- Search, compare, and visualize training runs +- Analyze system usage metrics alongside runs +- Collaborate with team members +- Replicate historic results +- Run parameter sweeps +- Keep records of experiments available forever + +[Documentation →](https://docs.wandb.com) + +## Quickstart + +```shell +pip install wandb +``` + +In your training script: + +```python +import wandb + +# Your custom arguments defined here +args = ... + +wandb.init(config=args, project="my-project") +wandb.config["more"] = "custom" + + +def training_loop(): + while True: + # Do some machine learning + epoch, loss, val_loss = ... + # Framework agnostic / custom metrics + wandb.log({"epoch": epoch, "loss": loss, "val_loss": val_loss}) +``` + +If you're already using Tensorboard or [TensorboardX](https://github.com/lanpa/tensorboardX), you can integrate with one line: + +```python +wandb.init(sync_tensorboard=True) +``` + +## Running your script + +Run `wandb login` from your terminal to signup or authenticate your machine (we store your api key in ~/.netrc). You can also set the `WANDB_API_KEY` environment variable with a key from your [settings](https://app.wandb.ai/settings). + +Run your script with `python my_script.py` and all metadata will be synced to the cloud. You will see a url in your terminal logs when your script starts and finishes. Data is staged locally in a directory named _wandb_ relative to your script. If you want to test your script without syncing to the cloud you can set the environment variable `WANDB_MODE=dryrun`. + +If you are using [docker](https://docker.com) to run your code, we provide a wrapper command `wandb docker` that mounts your current directory, sets environment variables, and ensures the wandb library is installed. Training your models in docker gives you the ability to restore the exact code and environment with the `wandb restore` command. + +## Web Interface + +[Sign up for a free account →](https://wandb.com) +[](https://youtu.be/EeqhOSvNX-A) +[Introduction video →](https://youtu.be/EeqhOSvNX-A) + +## Detailed Usage + +Framework specific and detailed usage can be found in our [documentation](http://docs.wandb.com/). + +## Testing + +To run basic test use `make test`. More detailed information can be found at CONTRIBUTING.md. + +We use [circleci](https://circleci.com) for CI. + +# Academic Researchers +If you'd like a free academic account for your research group, [reach out to us →](https://www.wandb.com/academic) + +We make it easy to cite W&B in your published paper. [Learn more →](https://www.wandb.com/academic) +[](https://www.wandb.com/academic) + +## Community +Got questions, feedback or want to join a community of ML engineers working on exciting projects? + +<a href="https://bit.ly/wb-slack"><img src="https://svgshare.com/i/M93.svg" alt="slack" width="55"/></a> Join our [slack](https://bit.ly/wb-slack) community. + +[](https://twitter.com/weights_biases) Follow us on [Twitter](https://twitter.com/weights_biases). + + +%package help +Summary: Development documents and examples for wandb +Provides: python3-wandb-doc +%description help +<div align="center"> + <img src="https://i.imgur.com/RUtiVzH.png" width="600" /><br><br> +</div> + +# Weights and Biases [](https://pypi.python.org/pypi/wandb) [](https://anaconda.org/conda-forge/wandb) [](https://circleci.com/gh/wandb/wandb) [](https://codecov.io/gh/wandb/wandb) + +Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. + +- Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. +- Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. +- Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. +- Reproduce any model, with saved code, hyperparameters, launch commands, input data, and resulting model weights. + +[Sign up for a free account →](https://wandb.ai/login?signup=true) + +## Features + +- Store hyper-parameters used in a training run +- Search, compare, and visualize training runs +- Analyze system usage metrics alongside runs +- Collaborate with team members +- Replicate historic results +- Run parameter sweeps +- Keep records of experiments available forever + +[Documentation →](https://docs.wandb.com) + +## Quickstart + +```shell +pip install wandb +``` + +In your training script: + +```python +import wandb + +# Your custom arguments defined here +args = ... + +wandb.init(config=args, project="my-project") +wandb.config["more"] = "custom" + + +def training_loop(): + while True: + # Do some machine learning + epoch, loss, val_loss = ... + # Framework agnostic / custom metrics + wandb.log({"epoch": epoch, "loss": loss, "val_loss": val_loss}) +``` + +If you're already using Tensorboard or [TensorboardX](https://github.com/lanpa/tensorboardX), you can integrate with one line: + +```python +wandb.init(sync_tensorboard=True) +``` + +## Running your script + +Run `wandb login` from your terminal to signup or authenticate your machine (we store your api key in ~/.netrc). You can also set the `WANDB_API_KEY` environment variable with a key from your [settings](https://app.wandb.ai/settings). + +Run your script with `python my_script.py` and all metadata will be synced to the cloud. You will see a url in your terminal logs when your script starts and finishes. Data is staged locally in a directory named _wandb_ relative to your script. If you want to test your script without syncing to the cloud you can set the environment variable `WANDB_MODE=dryrun`. + +If you are using [docker](https://docker.com) to run your code, we provide a wrapper command `wandb docker` that mounts your current directory, sets environment variables, and ensures the wandb library is installed. Training your models in docker gives you the ability to restore the exact code and environment with the `wandb restore` command. + +## Web Interface + +[Sign up for a free account →](https://wandb.com) +[](https://youtu.be/EeqhOSvNX-A) +[Introduction video →](https://youtu.be/EeqhOSvNX-A) + +## Detailed Usage + +Framework specific and detailed usage can be found in our [documentation](http://docs.wandb.com/). + +## Testing + +To run basic test use `make test`. More detailed information can be found at CONTRIBUTING.md. + +We use [circleci](https://circleci.com) for CI. + +# Academic Researchers +If you'd like a free academic account for your research group, [reach out to us →](https://www.wandb.com/academic) + +We make it easy to cite W&B in your published paper. [Learn more →](https://www.wandb.com/academic) +[](https://www.wandb.com/academic) + +## Community +Got questions, feedback or want to join a community of ML engineers working on exciting projects? + +<a href="https://bit.ly/wb-slack"><img src="https://svgshare.com/i/M93.svg" alt="slack" width="55"/></a> Join our [slack](https://bit.ly/wb-slack) community. + +[](https://twitter.com/weights_biases) Follow us on [Twitter](https://twitter.com/weights_biases). + + +%prep +%autosetup -n wandb-0.14.2 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-wandb -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.14.2-1 +- Package Spec generated @@ -0,0 +1 @@ +ae8b987d86479ef42008e694b8bb3228 wandb-0.14.2.tar.gz |