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Fuse fbnet_v2 ConvBNReLu #592
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Summary: X-link: facebookresearch/d2go#592 Pull Request resolved: facebookresearch#172 The FBNet V2 consists of several basic blocks of pattern conv(2d) + BatchNorm + ReLU. These operators can be fused into one operator, greatly speeding up the computation in GPU. This diff / PR adds option to build an FBNet V2 backbone in fused manner, i.e. it looks up recursively the blocks and sub-blocks for the known patterns, and fuse them using `mobile_cv.arch.utils.fuse_utils` Differential Revision: D47395999 fbshipit-source-id: d7b67d4d48e39ec887aa87393455528f6e519600
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Summary: Pull Request resolved: facebookresearch#592 X-link: facebookresearch/mobile-vision#172 The FBNet V2 consists of several basic blocks of pattern conv(2d) + BatchNorm + ReLU. These operators can be fused into one operator, greatly speeding up the computation in GPU. This diff / PR adds option to build an FBNet V2 backbone in fused manner, i.e. it looks up recursively the blocks and sub-blocks for the known patterns, and fuse them using `mobile_cv.arch.utils.fuse_utils` Differential Revision: D47395999 fbshipit-source-id: b3da40ade8b36238dc9920c59a638357d861f283
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Summary: Pull Request resolved: facebookresearch#592 X-link: facebookresearch/mobile-vision#172 The FBNet V2 consists of several basic blocks of pattern conv(2d) + BatchNorm + ReLU. These operators can be fused into one operator, greatly speeding up the computation in GPU. This diff / PR adds option to build an FBNet V2 backbone in fused manner, i.e. it looks up recursively the blocks and sub-blocks for the known patterns, and fuse them using `mobile_cv.arch.utils.fuse_utils` Differential Revision: D47395999 fbshipit-source-id: 406b08af4a238de95d126e2761d6b6896b9c8397
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Summary: X-link: facebookresearch/d2go#592 Pull Request resolved: facebookresearch#172 The FBNet V2 consists of several basic blocks of pattern conv(2d) + BatchNorm + ReLU. These operators can be fused into one operator, greatly speeding up the computation in GPU. This diff / PR adds option to build an FBNet V2 backbone in fused manner, i.e. it looks up recursively the blocks and sub-blocks for the known patterns, and fuse them using `mobile_cv.arch.utils.fuse_utils` Differential Revision: D47395999 fbshipit-source-id: 0f52567d7448ef30151422937a8af5efd6c44645
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Summary:
The FBNet V2 consists of several basic blocks of pattern conv(2d) + BatchNorm + ReLU. These operators can be fused into one operator, greatly speeding up the computation in GPU.
This diff / PR adds option to build an FBNet V2 backbone in fused manner, i.e. it looks up recursively the blocks and sub-blocks for the known patterns, and fuse them using
mobile_cv.arch.utils.fuse_utilsDifferential Revision: D47395999