optimum-tpu


Nameoptimum-tpu JSON
Version 0.2.0 PyPI version JSON
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SummaryOptimum TPU is the interface between the Hugging Face Transformers library and Google Cloud TPU devices.
upload_time2024-11-20 13:07:21
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docs_urlNone
authorNone
requires_pythonNone
licenseApache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. 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If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. 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keywords transformers fine-tuning inference tpu cloud-tpu gcp google-cloud
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            <div align="center">

Optimum-TPU
===========================
<h4>Take the most out of Google Cloud TPUs with the ease of 🤗 transformers</h4>

[![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](https://huggingface.co/docs/optimum/index)
[![license](https://img.shields.io/badge/license-Apache%202-blue)](./LICENSE)
[![Optimum TPU / Test TGI on TPU](https://github.com/huggingface/optimum-tpu/actions/workflows/test-pytorch-xla-tpu-tgi.yml/badge.svg)](https://github.com/huggingface/optimum-tpu/actions/workflows/test-pytorch-xla-tpu-tgi.yml)
</div>

[Tensor Processing Units (TPU)](https://cloud.google.com/tpu) are AI accelerator made by Google to optimize
performance and cost from AI training to inference.

This repository exposes an interface similar to what Hugging Face transformers library provides to interact with
a magnitude of models developed by research labs, institutions and the community.

We aim at providing our user the best possible performances targeting Google Cloud TPUs for both training and inference
working closely with Google and Google Cloud to make this a reality.


## Supported Model and Tasks

We currently support a few LLM models targeting text generation scenarios:
- 💎 Gemma (2b, 7b)
- 🦙 Llama2 (7b) and Llama3 (8b)
- 💨 Mistral (7b)


## Installation

`optimum-tpu` comes with an handy PyPi released package compatible with your classical python dependency management tool.

`pip install optimum-tpu -f https://storage.googleapis.com/libtpu-releases/index.html`

`export PJRT_DEVICE=TPU`


## Inference

`optimum-tpu` provides a set of dedicated tools and integrations in order to leverage Cloud TPUs for inference, especially
on the latest TPU version `v5e`. 

Other TPU versions will be supported along the way.

### Text-Generation-Inference

As part of the integration, we do support a [text-generation-inference (TGI)](https://github.com/huggingface/optimum-tpu/tree/main/text-generation-inference) backend allowing to deploy and serve
incoming HTTP requests and execute them on Cloud TPUs.

Please see the [TGI specific documentation](text-generation-inference) on how to get started.

### JetStream Pytorch Engine

`optimum-tpu` provides an optional support of JetStream Pytorch engine inside of TGI. This support can be installed using the dedicated CLI command:

```shell
optimum-tpu install-jetstream-pytorch
```

To enable the support, export the environment variable `JETSTREAM_PT=1`.

## Training

Fine-tuning is supported and tested on the TPU `v5e`. We have tested so far:

- 🦙 Llama-2 7B and Llama-3 8B
- 💎 Gemma 2B and 7B

You can check the examples:

- [Fine-Tune Gemma on Google TPU](https://github.com/huggingface/optimum-tpu/blob/main/examples/language-modeling/gemma_tuning.ipynb)
- The [Llama fine-tuning script](https://github.com/huggingface/optimum-tpu/blob/main/examples/language-modeling/llama_tuning.md)

            

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    "description": "<div align=\"center\">\n\nOptimum-TPU\n===========================\n<h4>Take the most out of Google Cloud TPUs with the ease of \ud83e\udd17 transformers</h4>\n\n[![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat)](https://huggingface.co/docs/optimum/index)\n[![license](https://img.shields.io/badge/license-Apache%202-blue)](./LICENSE)\n[![Optimum TPU / Test TGI on TPU](https://github.com/huggingface/optimum-tpu/actions/workflows/test-pytorch-xla-tpu-tgi.yml/badge.svg)](https://github.com/huggingface/optimum-tpu/actions/workflows/test-pytorch-xla-tpu-tgi.yml)\n</div>\n\n[Tensor Processing Units (TPU)](https://cloud.google.com/tpu) are AI accelerator made by Google to optimize\nperformance and cost from AI training to inference.\n\nThis repository exposes an interface similar to what Hugging Face transformers library provides to interact with\na magnitude of models developed by research labs, institutions and the community.\n\nWe aim at providing our user the best possible performances targeting Google Cloud TPUs for both training and inference\nworking closely with Google and Google Cloud to make this a reality.\n\n\n## Supported Model and Tasks\n\nWe currently support a few LLM models targeting text generation scenarios:\n- \ud83d\udc8e Gemma (2b, 7b)\n- \ud83e\udd99 Llama2 (7b) and Llama3 (8b)\n- \ud83d\udca8 Mistral (7b)\n\n\n## Installation\n\n`optimum-tpu` comes with an handy PyPi released package compatible with your classical python dependency management tool.\n\n`pip install optimum-tpu -f https://storage.googleapis.com/libtpu-releases/index.html`\n\n`export PJRT_DEVICE=TPU`\n\n\n## Inference\n\n`optimum-tpu` provides a set of dedicated tools and integrations in order to leverage Cloud TPUs for inference, especially\non the latest TPU version `v5e`. \n\nOther TPU versions will be supported along the way.\n\n### Text-Generation-Inference\n\nAs part of the integration, we do support a [text-generation-inference (TGI)](https://github.com/huggingface/optimum-tpu/tree/main/text-generation-inference) backend allowing to deploy and serve\nincoming HTTP requests and execute them on Cloud TPUs.\n\nPlease see the [TGI specific documentation](text-generation-inference) on how to get started.\n\n### JetStream Pytorch Engine\n\n`optimum-tpu` provides an optional support of JetStream Pytorch engine inside of TGI. This support can be installed using the dedicated CLI command:\n\n```shell\noptimum-tpu install-jetstream-pytorch\n```\n\nTo enable the support, export the environment variable `JETSTREAM_PT=1`.\n\n## Training\n\nFine-tuning is supported and tested on the TPU `v5e`. We have tested so far:\n\n- \ud83e\udd99 Llama-2 7B and Llama-3 8B\n- \ud83d\udc8e Gemma 2B and 7B\n\nYou can check the examples:\n\n- [Fine-Tune Gemma on Google TPU](https://github.com/huggingface/optimum-tpu/blob/main/examples/language-modeling/gemma_tuning.ipynb)\n- The [Llama fine-tuning script](https://github.com/huggingface/optimum-tpu/blob/main/examples/language-modeling/llama_tuning.md)\n",
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    "license": "Apache License Version 2.0, January 2004 http://www.apache.org/licenses/  TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION  1. Definitions.  \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document.  \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License.  \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity.  \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License.  \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.  \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.  \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below).  \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.  \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, \"submitted\" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as \"Not a Contribution.\"  \"Contributor\" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work.  2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form.  3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed.  4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions:  (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and  (b) You must cause any modified files to carry prominent notices stating that You changed the files; and  (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and  (d) If the Work includes a \"NOTICE\" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License.  You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License.  5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability.  END OF TERMS AND CONDITIONS  APPENDIX: How to apply the Apache License to your work.  To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets \"[]\" replaced with your own identifying information. (Don't include the brackets!)  The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same \"printed page\" as the copyright notice for easier identification within third-party archives.  Copyright [yyyy] [name of copyright owner]  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. ",
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