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CUTLASS 3.8 Release (#2059)

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* CUTLASS 3.8 Release

* update

* Update README.md

* Revert "Update README.md"

This reverts commit b353e36fe83e0815f99b44e46c0c95494c44726b.

* update

* update

---------

Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
This commit is contained in:
mihir-awatramani
2025-01-25 02:44:06 -05:00
committed by GitHub
co-authored by Haicheng Wu Haicheng Wu
parent 9eb01fa0b0
commit 389e493055
290 changed files with 91222 additions and 291 deletions
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test/unit/gemm/threadblock/mma_multistage.cu
+42
View File
@@ -2974,6 +2974,7 @@ TEST(SM80_gemm_threadblock_crosswise,
}
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_64x64x1024_64x64x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3006,8 +3007,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_64x64x1024_32x32x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3040,8 +3044,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_128x64x1024_64x32x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3074,8 +3081,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_64x1024x1024_32x64x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3108,8 +3118,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_128x1024x1024_64x64x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3142,8 +3155,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
multicta_256x256x6144_128x1024x1024_64x64x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3176,8 +3192,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
multicta_512x256x6144_256x1024x1024_64x64x1024_16x8x256_3stage) {
using ElementA = cutlass::uint1b_t;
@@ -3210,8 +3229,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_64x64x512_64x64x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3244,8 +3266,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_64x64x512_32x32x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3278,8 +3303,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_128x64x512_64x32x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3312,8 +3340,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_64x128x512_32x64x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3346,8 +3377,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
tensor_op_128x128x512_64x64x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3380,8 +3414,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
multicta_256x256x6144_128x128x512_64x64x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3414,8 +3451,11 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
#if 0
TEST(SM80_gemm_threadblock_crosswise,
multicta_512x256x6144_256x128x512_64x64x512_16x8x256_4stage) {
using ElementA = cutlass::uint1b_t;
@@ -3448,6 +3488,8 @@ TEST(SM80_gemm_threadblock_crosswise,
problem_size.k(), alpha, beta)
.run(grid, block);
}
#endif
////////////////////////////////////////////////////////////////////////////////
TEST(SM80_gemm_threadblock_congruous,
tensor_op_64x64x16_32x64x16_8x8x4_3stage) {