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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/01/11 06:31:55 UTC
[GitHub] [tvm] masahi opened a new pull request #9899: [CUTLASS] Support more kernels: int8, tf32, and 3xtf32
masahi opened a new pull request #9899:
URL: https://github.com/apache/tvm/pull/9899
@comaniac @Laurawly
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[GitHub] [tvm] hwu36 commented on pull request #9899: [CUTLASS] Support more kernels: int8, tf32, and 3xtf32
Posted by GitBox <gi...@apache.org>.
hwu36 commented on pull request #9899:
URL: https://github.com/apache/tvm/pull/9899#issuecomment-1013170910
@masahi, cutlass profiler misses many 256x64, 64x256 tile sizes for turing/volta kernels. It needs some change like
```
--- a/tools/library/scripts/generator.py
+++ b/tools/library/scripts/generator.py
@@ -724,6 +724,8 @@ def GenerateSM70_TensorOp_884(manifest, cuda_version):
TileDescription([256, 128, 32], 2, [4, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 256, 32], 2, [2, 4, 1], math_inst, min_cc, max_cc),
TileDescription([128, 128, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
+ TileDescription([256, 64, 32], 2, [4, 1, 1], math_inst, min_cc, max_cc),
+ TileDescription([ 64, 256, 32], 2, [1, 4, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 128, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 64, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 64, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
@@ -941,6 +943,8 @@ def GenerateSM75_TensorOp_1688(manifest, cuda_version):
TileDescription([256, 128, 32], 2, [4, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 256, 32], 2, [2, 4, 1], math_inst, min_cc, max_cc),
TileDescription([128, 128, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
+ TileDescription([ 64, 256, 32], 2, [1, 4, 1], math_inst, min_cc, max_cc),
+ TileDescription([256, 64, 32], 2, [4, 1, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 128, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 64, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 64, 32], 2, [2, 2, 1], math_inst, min_cc, max_cc),
@@ -1218,6 +1222,8 @@ def GenerateSM75_TensorOp_8832_TN(manifest, cuda_version):
TileDescription([256, 128, 128], 2, [4, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 256, 128], 2, [2, 4, 1], math_inst, min_cc, max_cc),
TileDescription([128, 128, 128], 2, [2, 2, 1], math_inst, min_cc, max_cc),
+ TileDescription([256, 64, 128], 2, [4, 1, 1], math_inst, min_cc, max_cc),
+ TileDescription([ 64, 256, 128], 2, [1, 4, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 128, 128], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 64, 128], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 64, 128], 2, [2, 2, 1], math_inst, min_cc, max_cc),
@@ -1355,6 +1361,8 @@ def GenerateSM75_TensorOp_88128(manifest, cuda_version):
TileDescription([256, 128, 512], 2, [4, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 256, 512], 2, [2, 4, 1], math_inst, min_cc, max_cc),
TileDescription([128, 128, 512], 2, [2, 2, 1], math_inst, min_cc, max_cc),
+ TileDescription([ 64, 256, 512], 2, [1, 4, 1], math_inst, min_cc, max_cc),
+ TileDescription([256, 64, 512], 2, [4, 1, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 128, 512], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([128, 64, 512], 2, [2, 2, 1], math_inst, min_cc, max_cc),
TileDescription([ 64, 64, 512], 2, [2, 2, 1], math_inst, min_cc, max_cc),
```
Also, cutlass works the best with cuda 11.3+.
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[GitHub] [tvm] comaniac commented on pull request #9899: [CUTLASS] Support more kernels: int8, tf32, and 3xtf32
Posted by GitBox <gi...@apache.org>.
comaniac commented on pull request #9899:
URL: https://github.com/apache/tvm/pull/9899#issuecomment-1011656852
Thanks @masahi
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[GitHub] [tvm] comaniac merged pull request #9899: [CUTLASS] Support more kernels: int8, tf32, and 3xtf32
Posted by GitBox <gi...@apache.org>.
comaniac merged pull request #9899:
URL: https://github.com/apache/tvm/pull/9899
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