| | <! |
| |
|
| | 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. |
| | |
| |
|
| | # Helpful Utilities |
| |
|
| | Below are a variety of utility functions that 🤗 Accelerate provides, broken down by use-case. |
| |
|
| | ## Data Classes |
| |
|
| | These are basic dataclasses used throughout 🤗 Accelerate and they can be passed in as parameters. |
| |
|
| | [[autodoc]] utils.DistributedType |
| |
|
| | [[autodoc]] utils.LoggerType |
| |
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| | [[autodoc]] utils.PrecisionType |
| |
|
| | [[autodoc]] utils.ProjectConfiguration |
| |
|
| | ## Data Manipulation and Operations |
| |
|
| | These include data operations that mimic the same `torch` ops but can be used on distributed processes. |
| |
|
| | [[autodoc]] utils.broadcast |
| |
|
| | [[autodoc]] utils.concatenate |
| |
|
| | [[autodoc]] utils.gather |
| |
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| | [[autodoc]] utils.pad_across_processes |
| |
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| | [[autodoc]] utils.reduce |
| |
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| | [[autodoc]] utils.send_to_device |
| |
|
| | ## Environment Checks |
| |
|
| | These functionalities check the state of the current working environment including information about the operating system itself, what it can support, and if particular dependencies are installed. |
| |
|
| | [[autodoc]] utils.is_bf16_available |
| |
|
| | [[autodoc]] utils.is_torch_version |
| |
|
| | [[autodoc]] utils.is_tpu_available |
| |
|
| | ## Environment Configuration |
| |
|
| | [[autodoc]] utils.write_basic_config |
| |
|
| | When setting up 🤗 Accelerate for the first time, rather than running `accelerate config` [~utils.write_basic_config] can be used as an alternative for quick configuration. |
| |
|
| | ## Memory |
| |
|
| | [[autodoc]] utils.get_max_memory |
| |
|
| | [[autodoc]] utils.find_executable_batch_size |
| |
|
| | ## Modeling |
| |
|
| | These utilities relate to interacting with PyTorch models |
| |
|
| | [[autodoc]] utils.extract_model_from_parallel |
| |
|
| | [[autodoc]] utils.get_max_layer_size |
| |
|
| | [[autodoc]] utils.offload_state_dict |
| |
|
| |
|
| | ## Parallel |
| |
|
| | These include general utilities that should be used when working in parallel. |
| |
|
| | [[autodoc]] utils.extract_model_from_parallel |
| |
|
| | [[autodoc]] utils.save |
| |
|
| | [[autodoc]] utils.wait_for_everyone |
| |
|
| |
|
| | ## Random |
| |
|
| | These utilities relate to setting and synchronizing of all the random states. |
| |
|
| | [[autodoc]] utils.set_seed |
| |
|
| | [[autodoc]] utils.synchronize_rng_state |
| |
|
| | [[autodoc]] utils.synchronize_rng_states |
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|
| |
|
| | ## PyTorch XLA |
| |
|
| | These include utilities that are useful while using PyTorch with XLA. |
| |
|
| | [[autodoc]] utils.install_xla |
| |
|