Added C++ and CUDA bindings to tile_matmul for 1.1.2 Release
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…or min, at::Tensor max)
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
…uantization Support
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
…uantization Support
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Co-authored-by: coreylammie <coreylammie@users.noreply.github.com>
Codecov Report
@@ Coverage Diff @@
## master #66 +/- ##
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- Coverage 90.88% 87.34% -3.54%
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Files 52 53 +1
Lines 1963 2023 +60
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- Hits 1784 1767 -17
- Misses 179 256 +77
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Using an NVIDIA GeForce GTX 1080, a tile shape of (25, 25), and two tensors of size (500, 500), the runtime of
tile_matmulwithout quantization support is reduced by 2.45x and 5.48x, for CPU-bound and GPU-bound operation, respectively. With an ADC resolution of 4 bits and an overflow rate of 0.0, the runtime oftile_matmulwith quantization support is reduced by 2.30x and 105.27x, for CPU-bound and GPU-bound operation, respectively.