Support CUDA for matmul #131
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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: 3f6084c3b1b7fe804b2428c8cc7ab199e6c7d524
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Summary: Pull Request resolved: fairinternal/CrypTen#131 Pick build through URL (Note: this ignores all push blocking failures!) Reviewed By: marksibrahim Differential Revision: D17843600 fbshipit-source-id: 4f1fefd557f0fd0ce4be179e0e6f2c28f640bb7f
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Summary:
This diff does the two following thing:
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.
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