60 lines
2.9 KiB
Markdown
60 lines
2.9 KiB
Markdown
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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# ExecuTorch
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[ExecuTorch](https://pytorch.org/executorch/stable/index.html) is a platform that enables PyTorch training and inference programs to be run on mobile and edge devices. It is powered by [torch.compile](https://pytorch.org/docs/stable/torch.compiler.html) and [torch.export](https://pytorch.org/docs/main/export.html) for performance and deployment.
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You can use ExecuTorch with Transformers with [torch.export](https://pytorch.org/docs/main/export.html). The [`~transformers.convert_and_export_with_cache`] method converts a [`PreTrainedModel`] into an exportable module. Under the hood, it uses [torch.export](https://pytorch.org/docs/main/export.html) to export the model, ensuring compatibility with ExecuTorch.
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```py
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import torch
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from transformers import LlamaForCausalLM, AutoTokenizer, GenerationConfig
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from transformers.integrations.executorch import(
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TorchExportableModuleWithStaticCache,
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convert_and_export_with_cache
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)
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generation_config = GenerationConfig(
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use_cache=True,
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cache_implementation="static",
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cache_config={
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"batch_size": 1,
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"max_cache_len": 20,
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}
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)
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.2-1B", pad_token="</s>", padding_side="right")
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model = LlamaForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B", device_map="auto", dtype=torch.bfloat16, attn_implementation="sdpa", generation_config=generation_config)
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exported_program = convert_and_export_with_cache(model)
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```
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The exported PyTorch model is now ready to be used with ExecuTorch. Wrap the model with [`~transformers.TorchExportableModuleWithStaticCache`] to generate text.
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```py
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prompts = ["Simply put, the theory of relativity states that "]
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prompt_tokens = tokenizer(prompts, return_tensors="pt", padding=True).to(model.device)
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prompt_token_ids = prompt_tokens["input_ids"]
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generated_ids = TorchExportableModuleWithStaticCache.generate(
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exported_program=exported_program, prompt_token_ids=prompt_token_ids, max_new_tokens=20,
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)
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generated_text = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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print(generated_text)
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['Simply put, the theory of relativity states that 1) the speed of light is the']
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```
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