Add conprehensive test cases for TestCUDA #133
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June 5, 2020 14:16
Summary: Pull Request resolved: #131 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: c4433b2e515b803965d3504eaab00b4ed7e669da
Summary: Support CUDA for conv1d, conv2d, conv1d_transpose, conv2d_transpose Differential Revision: D21885098 fbshipit-source-id: 90abae49399f715262a9f2d5abfe5bb99fc9dec6
Summary: Add comprehensive test case for TestCUDA that would enable us to check the correctness of cuda integration Differential Revision: D21911937 fbshipit-source-id: bc22d1f5fa4e24b48b74f87bacc7e88d69ff7acb
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This pull request was exported from Phabricator. Differential Revision: D21911937 |
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Nov 27, 2023
Summary: Pull Request resolved: fairinternal/CrypTen#133 Update to RTD URL (Note: this ignores all push blocking failures!) Reviewed By: vshobha Differential Revision: D17845454 fbshipit-source-id: 9d03ca59ab7bc36141d5357794716cf4b1fc8e74
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Summary: Add comprehensive test case for TestCUDA that would enable us to check the correctness of cuda integration
Differential Revision: D21911937