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implemented separable convolutions #830
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Summary: Pull Request resolved: facebookresearch#830 Implements depthwise separable convolutions. The depthwise convolution spatially convolves each input channel separately, then the pointwise convolution projects this result into a new channel space. Separable convolutions achieve similar performance to regular convolutions with a large reduction in the number of parameters. Grouped convolutions also have cuDNN support, so using them can give latency advantages as well. Differential Revision: D16466988 fbshipit-source-id: 9b4bb616dbbb202d5f10e523e646d04d477b1eed
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Summary: Pull Request resolved: facebookresearch#830 Implements depthwise separable convolutions. The depthwise convolution spatially convolves each input channel separately, then the pointwise convolution projects this result into a new channel space. Separable convolutions achieve similar performance to regular convolutions with a large reduction in the number of parameters. Grouped convolutions also have cuDNN support, so using them can give latency advantages as well. Differential Revision: D16466988 fbshipit-source-id: a2041cd104ef89215c20f7789326a721ff133c61
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Summary: Pull Request resolved: facebookresearch#830 Implements depthwise separable convolutions. The depthwise convolution spatially convolves each input channel separately, then the pointwise convolution projects this result into a new channel space. Separable convolutions achieve similar performance to regular convolutions with a large reduction in the number of parameters. Grouped convolutions also have cuDNN support, so using them can give latency advantages as well. Differential Revision: D16466988 fbshipit-source-id: b5aec14c9c21816cd6d090ee045d56bb39e314ac
Differential Revision: D16403533 fbshipit-source-id: 6b14ba122523e96dfab37791ce3d7ea77121f9dd
Differential Revision: D16403538 fbshipit-source-id: 7d3784a2726143146206debc5a9b9b8384a1d59e
Differential Revision: D16403554 fbshipit-source-id: c02fa96bd6a9348b7424b594d19f83a5300847df
Differential Revision: D16462672 fbshipit-source-id: a06e3f6592506085f2ff9b2a0a24cc09a56c80e5
Summary: Pull Request resolved: facebookresearch#830 Implements depthwise separable convolutions. The depthwise convolution spatially convolves each input channel separately, then the pointwise convolution projects this result into a new channel space. Separable convolutions achieve similar performance to regular convolutions with a large reduction in the number of parameters. Grouped convolutions also have cuDNN support, so using them can give latency advantages as well. Reviewed By: geof90 Differential Revision: D16466988 fbshipit-source-id: 2cf0dfc127b96c9ec0ca9573082719eb4c620b4b
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Summary: Implements depthwise separable convolutions. The depthwise convolution spatially convolves each input channel separately, then the pointwise convolution projects this result into a new channel space. Separable convolutions achieve similar performance to regular convolutions with a large reduction in the number of parameters. Grouped convolutions also have cuDNN support, so using them can give latency advantages as well.
Differential Revision: D16466988