Simplify PyTorch interact feature computation#186
Simplify PyTorch interact feature computation#186yocox wants to merge 1 commit intofacebookresearch:mainfrom
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The original implementation use torch.cat() & view() (a.k.a reshape) to combine feature vectors into a matrix. It create a Reshape operation in the exported ONNX, and create dynamic tesnor. It can be replace by just one torch.stack(). The result graph is simpler and faster.
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Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Facebook open source project. Thanks! |
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Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Facebook open source project. Thanks! |
The original implementation use
torch.cat()&view()(a.k.a reshape)to combine feature vectors into a matrix. It create a
Reshapeoperationin the exported ONNX, and create dynamic tensor.
It can be replace by just one
torch.stack(). The result graph issimpler and faster.