Add simplified se_block kernel #989
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Summary: Pull Request resolved: pytorch#989 We add a helion kernel to compute 2 * x * sigmoid(x @ w) Differential Revision: D84968671
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Summary: We add a helion kernel to compute 2 * x * sigmoid(x @ w) Differential Revision: D84968671
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Summary: We add a helion kernel to compute 2 * x * sigmoid(x @ w) Differential Revision: D84968671
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| """ | ||
| Helion SE Block Example | ||
| ============================ | ||
| This example demonstrates a Helion kernel implementation of SE Block. |
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Curious what is "SE" short for?
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Curious what is "SE" short for?
Squeeze and Excitation Net. Basically it performs excitation on embedding, similar as Squeeze and Excitation Net as those used in https://arxiv.org/abs/1709.01507, the idea is to enhance signal/noise ratio to preserve useful information.
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thanks! maybe we can add this explanation to this docstring as well to help clarify
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thanks @mengluy0125 ! might need to rebase the PR to resolve the merge conflicts
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Summary: We add a helion kernel to compute 2 * x * sigmoid(x @ w)
Differential Revision: D84968671