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onnxruntime/onnxruntime/core/mlas
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Tracy Sharpe d4d19a75ba
Use MlasConv for 1D convolutions (#3425) 
Use the existing 2D convolution code in MlasConv to also handle 1D convolutions.
2020-04-04 09:43:10 -07:00
..
inc QLinearConv speed up (#3196) 2020-03-13 16:54:55 -07:00
lib Use MlasConv for 1D convolutions (#3425) 2020-04-04 09:43:10 -07:00
README.md

README.md

About MLAS

MLAS is a compute library containing processor optimized GEMM kernels and platform specific threading code.

Unit tests for MLAS

Unit tests for the SGEMM kernels are available under onnxruntime\test\mlas. These tests run over a range of inputs that then execute the various special cases for aligned and unaligned outputs. The tests have failed if any "mismatch" strings are printed.