@software{torchao, title = {torchao: PyTorch native quantization and sparsity for training and inference}, author = {torchao maintainers and contributors}, url = {https://github.com/pytorch/torchao}, license = {BSD-3-Clause}, month = oct, year = {2024} }About...
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points. transformersversion: 4.49.0.dev0 Platform: Linux-4.18.0-425.3.1.el8.x86_64-x86_64-with-glibc2.39 Python version: 3.12.3 Huggingface_hub version: 0.27.1 Safetensors version: 0.4.5 Accelerate version: ...
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packaging scripts test third_party torchao _models csrc dtypes experimental float8 kernel configs README.md __init__.py autotuner.py intmm.py intmm_triton.py prototype quantization sparsity testing __init__.py _executorch_ops.py ops.py ...
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Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment Assignees No one assigned Labels oncall: quantizationQuantization support in PyTorch Projects None yet Milestone No milestone Development No branches or pull requests ...
quant_scheme,quant_scheme_kwargs="int8_dynamic_activation_int8_weight", {} ORIGINAL_EXPECTED_OUTPUT="What are we having for dinner?\n\nJessica: (smiling)" SERIALIZED_EXPECTED_OUTPUT=ORIGINAL_EXPECTED_OUTPUT device="cpu" deftest_serialization_expected_output_cuda(self):...
The recent addition of optimizer CPU offload in torchao can be useful for single GPU low memory config. https://github.com/pytorch/ao/tree/main/torchao/prototype/low_bit_optim#optimizer-cpu-offload In my brief testing main...gau-nernst:t...
https://github.com/pytorch/ao/tree/main/torchao/quantization/prototype/qat 训练 低精度计算和通信 从float8的torch.nn.Linear层开始,torchao提供了端到端的用于降低训练计算和分布式通信的精度的方法。下面是将训练运行的计算gemm转换为float8的一行代码: ...
整合&集成:torchao已支持了一些开源项目。 已集成到Huggingface transformers的推理后端: torchtune中的PyTorch支持naive QLoRA和QAT: 附录 https://pytorch.org/blog/pytorch-native-architecture-optimization/ https://github.com/pytorch/ao