Instructions to use kernels-community/rmsnorm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/rmsnorm with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("kernels-community/rmsnorm", version=1) - Notebooks
- Google Colab
- Kaggle
Build uploaded using `kernels`.
Browse files
.gitattributes
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@@ -85,3 +85,4 @@ build/torch210-cxx11-xpu20253-x86_64-linux/_rmsnorm_xpu_7bbf693.abi3.so filter=l
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build/torch29-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_7bbf693.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-xpu20252-x86_64-linux/_rmsnorm_xpu_7bbf693.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch210-xpu20253-x86_64-windows/_rmsnorm_xpu_0f8f3b4.pyd filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-cpu-x86_64-linux/_rmsnorm_cpu_7bbf693.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-xpu20252-x86_64-linux/_rmsnorm_xpu_7bbf693.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch210-xpu20253-x86_64-windows/_rmsnorm_xpu_0f8f3b4.pyd filter=lfs diff=lfs merge=lfs -text
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build/torch210-xpu20253-x86_64-windows/_rmsnorm_xpu_2aa36b6.pyd filter=lfs diff=lfs merge=lfs -text
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build/torch210-xpu20253-x86_64-windows/_ops.py
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import torch
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from . import
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ops = torch.ops.
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"
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import torch
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from . import _rmsnorm_xpu_2aa36b6
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ops = torch.ops._rmsnorm_xpu_2aa36b6
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def add_op_namespace_prefix(op_name: str):
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"""
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Prefix op by namespace.
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"""
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return f"_rmsnorm_xpu_2aa36b6::{op_name}"
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build/torch210-xpu20253-x86_64-windows/{_rmsnorm_xpu_0f8f3b4.pyd → _rmsnorm_xpu_2aa36b6.pyd}
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 2363904
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version https://git-lfs.github.com/spec/v1
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oid sha256:68bd1154d350e3842ee2caa91f84ffdb73b9ca97cce4e76dcb4a39a00b000750
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size 2363904
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