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CUTLASS 3.2.1 (#1113)

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* Updates for 3.2.1 release.

* Minor fix in gemm op profiler for raster order.

* Add scheduler mapping for raster order in the kernels.
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ANIKET SHIVAM
2023-09-26 17:24:26 -04:00
committed by GitHub
parent e0aaa3c3b3
commit 90d3b0fb18
428 changed files with 22252 additions and 21761 deletions
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examples/40_cutlass_py/customizable/README.md
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@@ -165,28 +165,3 @@ Example 7: GELU
```python
python gemm.py -i 16 8 16 -ta bfloat16 -tb bfloat16 -tc float32 -tacc float32 -m multiply_add -op TensorOp -b 64 128 64 -s 3 -w 2 2 1 -cc 80 -la ColumnMajor -aa 8 -lb ColumnMajor -ab 8 -lc RowMajor -ac 4 -te float32 -ep LinearCombination -sw IdentitySwizzle2 -p 512 256 128 -alpha 0.0 -beta 0.5 -gm GemmSplitKParallel -k 5 -bias -activ gelu
```
### Epilogue Visitor Tree
Example 1:
```python
python gemm.py -i 16 8 8 -ta float32 -tb float32 -tc float32 -tacc float32 -m multiply_add_fast_bf16 -op TensorOp -b 128 128 32 -s 3 -w 2 2 1 -cc 80 -la RowMajor -aa 4 -lb ColumnMajor -ab 4 -lc RowMajor -ac 4 -te float32 -ep LinearCombination -epv RowBroadcast -sw IdentitySwizzle1 -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Gemm -k 1
```
Example 2:
```python
python gemm.py -i 8 8 4 -ta float64 -tb float64 -tc float64 -tacc float64 -m multiply_add -op TensorOp -b 32 32 16 -s 4 -w 2 2 1 -cc 80 -la ColumnMajor -aa 1 -lb RowMajor -ab 1 -lc RowMajor -ac 1 -te float64 -ep LinearCombination -epv ColumnBroadcast -sw IdentitySwizzle1 -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Gemm -k 1
```
Example 3:
```python
python gemm.py -i 16 8 16 -ta float16 -tb float16 -tc float32 -tacc float32 -m multiply_add -op TensorOp -b 128 128 32 -s 3 -w 2 2 1 -cc 80 -la ColumnMajor -aa 8 -lb RowMajor -ab 8 -lc RowMajor -ac 4 -te float32 -ep LinearCombination -epv RowReduction -sw IdentitySwizzle4 -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Gemm -k 1
```
Example 4:
```python
python gemm.py -i 16 8 16 -ta bfloat16 -tb bfloat16 -tc float32 -tacc float32 -m multiply_add -op TensorOp -b 64 128 64 -s 3 -w 2 2 1 -cc 80 -la ColumnMajor -aa 8 -lb ColumnMajor -ab 8 -lc RowMajor -ac 4 -te float32 -ep LinearCombination -epv ColumnReduction -sw IdentitySwizzle2 -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Gemm -k 1
```
Example 5:
```python
python gemm.py -i 16 8 8 -ta float32 -tb float32 -tc float32 -tacc float32 -m multiply_add_fast_bf16 -op TensorOp -b 128 128 32 -s 3 -w 2 2 1 -cc 80 -la RowMajor -aa 4 -lb ColumnMajor -ab 4 -lc RowMajor -ac 4 -te float32 -ep LinearCombination -epv RowReduction -sw BatchedIdentitySwizzle -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Batched -k 1 -batch 3
```
Example 6:
```python
python gemm.py -i 16 8 8 -ta float32 -tb float32 -tc float32 -tacc float32 -m multiply_add_fast_bf16 -op TensorOp -b 128 128 32 -s 3 -w 2 2 1 -cc 80 -la RowMajor -aa 4 -lb ColumnMajor -ab 4 -lc RowMajor -ac 4 -te float32 -ep LinearCombination -epv ColumnBroadcast -sw BatchedIdentitySwizzle -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Array -k 1 -batch 3
```