| <! |
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| 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 |
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| http://www.apache.org/licenses/LICENSE-2.0 |
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|
| 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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| # Helpful Utilities |
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| Below are a variety of utility functions that 🤗 Accelerate provides, broken down by use-case. |
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| ## Data Classes |
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| These are basic dataclasses used throughout 🤗 Accelerate and they can be passed in as parameters. |
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| [[autodoc]] utils.DistributedType |
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| [[autodoc]] utils.LoggerType |
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| [[autodoc]] utils.PrecisionType |
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| [[autodoc]] utils.ProjectConfiguration |
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| ## Data Manipulation and Operations |
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| These include data operations that mimic the same `torch` ops but can be used on distributed processes. |
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| [[autodoc]] utils.broadcast |
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| [[autodoc]] utils.concatenate |
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| [[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 |
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| ## Environment Checks |
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| 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. |
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| [[autodoc]] utils.is_bf16_available |
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| [[autodoc]] utils.is_torch_version |
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| [[autodoc]] utils.is_tpu_available |
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| ## Environment Configuration |
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| [[autodoc]] utils.write_basic_config |
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| 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. |
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| ## Memory |
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| [[autodoc]] utils.get_max_memory |
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| [[autodoc]] utils.find_executable_batch_size |
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| ## Modeling |
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| These utilities relate to interacting with PyTorch models |
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| [[autodoc]] utils.extract_model_from_parallel |
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| [[autodoc]] utils.get_max_layer_size |
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| [[autodoc]] utils.offload_state_dict |
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| ## Parallel |
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| These include general utilities that should be used when working in parallel. |
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| [[autodoc]] utils.extract_model_from_parallel |
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| [[autodoc]] utils.save |
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| [[autodoc]] utils.wait_for_everyone |
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| ## Random |
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| These utilities relate to setting and synchronizing of all the random states. |
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| [[autodoc]] utils.set_seed |
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| [[autodoc]] utils.synchronize_rng_state |
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| [[autodoc]] utils.synchronize_rng_states |
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| ## PyTorch XLA |
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| These include utilities that are useful while using PyTorch with XLA. |
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| [[autodoc]] utils.install_xla |
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