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feat: proof of concept
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16
README.md
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README.md
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# kernels
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```python
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import torch
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from kernels import get_kernel
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# Download optimized kernels from the Hugging Face hub
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layer_norm_kernels = get_kernel("kernels-community/layer-norm")
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# Initialize torch Module
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optimized_layer_norm_layer = layer_norm_kernels.DropoutAddLayerNorm(128).cuda()
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# Forward
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x = torch.randn(128).cuda()
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print(optimized_layer_norm_layer(x))
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```
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3
kernels/__init__.py
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kernels/__init__.py
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from kernels.utils import get_kernel
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__all__ = ["get_kernel"]
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kernels/utils.py
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kernels/utils.py
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import torch
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import sys
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import importlib
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from pathlib import Path
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from packaging.version import parse
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from huggingface_hub import hf_hub_download, snapshot_download
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def torch_version():
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return parse(torch.__version__)
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def import_from_path(module_name, file_path):
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spec = importlib.util.spec_from_file_location(module_name, file_path)
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module = importlib.util.module_from_spec(spec)
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sys.modules[module_name] = module
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spec.loader.exec_module(module)
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return module
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def get_kernel(repo_id: str):
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lib = snapshot_download(repo_id,
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allow_patterns=f"build/{torch_version()}/*.so")
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sys.path.append(lib + f"/build/{torch_version()}")
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api = hf_hub_download(repo_id, filename="api.py")
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return import_from_path("api", api)
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16
pyproject.toml
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16
pyproject.toml
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[tool.poetry]
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name = "kernels"
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version = "0.1.0"
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description = ""
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authors = ["OlivierDehaene <olivier@huggingface.co>"]
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readme = "README.md"
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[tool.poetry.dependencies]
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python = "^3.9"
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huggingface-hub = "^0.26.3"
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packaging = "^24.2"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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