Download research/problems/decoding_attn/resources/pyproject.toml from FrontierCS/Frontier-CS: direct link, hf CLI and curl.
- Browser
- Download file 470 Bytes
-
https://huggingface.co/datasets/FrontierCS/Frontier-CS/resolve/refs%2Fpr%2F3/research/problems/decoding_attn/resources/pyproject.toml
- Command line
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hf download hf://datasets/FrontierCS/Frontier-CS@refs/pr/3/research/problems/decoding_attn/resources/pyproject.toml
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curl -L -o pyproject.toml https://huggingface.co/datasets/FrontierCS/Frontier-CS/resolve/refs%2Fpr%2F3/research/problems/decoding_attn/resources/pyproject.toml
470 Bytes
| [project] | |
| name = "decoding-attn-optimization" | |
| version = "0.1.0" | |
| description = "Decoding Attention optimization problem resources" | |
| requires-python = ">=3.8" | |
| dependencies = [ | |
| "torch>=2.0.0", | |
| "triton>=2.1.0", | |
| "numpy>=1.21.0", | |
| "tqdm>=4.64.0", | |
| ] | |
| [tool.setuptools] | |
| py-modules = ["benchmark", "baseline"] | |
| [tool.setuptools.packages.find] | |
| exclude = ["__pycache__"] | |
| [build-system] | |
| requires = ["setuptools>=45", "wheel"] | |
| build-backend = "setuptools.build_meta" | |