Support CUDA for conv1d, conv2d #132
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June 4, 2020 10:17
Summary: This diff does the two following thing: 1. Implement a encoder for LongTensor that embed fixed-point arithmetic into floating-point arithmetic. It enables us to utilize existing CUDA kernel for floating points to compute matrix multiplication for LongTensor. 2. Add a new test file test_cuda.py for future CUDA related testing The encoder currently only supports matmul. Conv2d will be supported in future diffs. The API design is based on: D21860688 Differential Revision: D21882865 fbshipit-source-id: b69a0aa333f4d2f169dba30bcc900fd1ae4db224
Summary: Support CUDA for conv1d and conv2d Differential Revision: D21885098 fbshipit-source-id: 1617e4dc78ee5c95989cad1bfc64e08f60733ede
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This pull request was exported from Phabricator. Differential Revision: D21885098 |
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Nov 27, 2023
Summary: Pull Request resolved: fairinternal/CrypTen#132 also change rst to specify language of code block (Note: this ignores all push blocking failures!) Reviewed By: marksibrahim Differential Revision: D17844355 fbshipit-source-id: 34abcdd2a179cc5fea362170a1be9fe58d2b9db5
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Summary: Support CUDA for conv1d and conv2d
Differential Revision: D21885098