Instructions to use replicate/relu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/relu 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("replicate/relu", version=1) - Notebooks
- Google Colab
- Kaggle
Build uploaded using `kernels`.
Browse files
.gitattributes
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@@ -210,3 +210,4 @@ build/torch29-cxx11-cu130-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs
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build/torch29-cxx11-rocm63-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-rocm64-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-xpu20252-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-rocm63-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-rocm64-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch29-cxx11-xpu20252-x86_64-linux/_relu_ff7d195.abi3.so filter=lfs diff=lfs merge=lfs -text
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build/torch210-xpu20253-x86_64-windows/relu/_relu_d7b860a.pyd filter=lfs diff=lfs merge=lfs -text
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build/torch210-xpu20253-x86_64-windows/metadata.json
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{
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"version": 1,
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"python-depends": []
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}
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build/torch210-xpu20253-x86_64-windows/relu/__init__.py
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from typing import Optional
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import torch
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from ._ops import ops
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def relu(x: torch.Tensor, out: Optional[torch.Tensor] = None) -> torch.Tensor:
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if out is None:
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out = torch.empty_like(x)
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ops.relu(out, x)
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return out
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build/torch210-xpu20253-x86_64-windows/relu/_ops.py
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import torch
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from . import _relu_d7b860a
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ops = torch.ops._relu_d7b860a
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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"_relu_d7b860a::{op_name}"
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build/torch210-xpu20253-x86_64-windows/relu/_relu_d7b860a.pyd
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5f83f85dc85edd8576a9915adbf2d0cf3d509442d8aa1d5be8c08b56174732f
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size 155648
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