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Fix typos 2 (#842)

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Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
This commit is contained in:
Alexander Pivovarov
2023-03-09 23:22:56 -05:00
committed by GitHub
co-authored by Haicheng Wu
parent c4f6b8c6bc
commit 7e370c9637
161 changed files with 310 additions and 309 deletions
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README.md
+4 -4
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@@ -328,7 +328,7 @@ or a subset of kernels for NVIDIA Ampere and Turing architecture:
### Building a subset Tensor Core GEMM kernels
To compile a subset of Tensor Core GEMM kernels with FP32 accumulation and FP16 input targetting NVIDIA Ampere and Turing architecture,
To compile a subset of Tensor Core GEMM kernels with FP32 accumulation and FP16 input targeting NVIDIA Ampere and Turing architecture,
use the below cmake command line:
```bash
$ cmake .. -DCUTLASS_NVCC_ARCHS='75;80' -DCUTLASS_LIBRARY_KERNELS=cutlass_tensorop_s*gemm_f16_*_nt_align8
@@ -376,7 +376,7 @@ reference_device: Passed
### Building one CUDA Core GEMM kernel
To compile one SGEMM kernel targetting NVIDIA Ampere and Turing architecture, use the below cmake command line:
To compile one SGEMM kernel targeting NVIDIA Ampere and Turing architecture, use the below cmake command line:
```bash
$ cmake .. -DCUTLASS_NVCC_ARCHS='75;80' -DCUTLASS_LIBRARY_KERNELS=cutlass_simt_sgemm_128x128_8x2_nn_align1
...
@@ -418,7 +418,7 @@ $ ./tools/profiler/cutlass_profiler --kernels=sgemm --m=3456 --n=4096 --k=4096
### Building a subset of Tensor Core Convolution kernels
To compile a subset of Tensor core convolution kernels implementing forward propagation (fprop) with FP32 accumulation
and FP16 input targetting NVIDIA Ampere and Turing architecture, use the below cmake command line:
and FP16 input targeting NVIDIA Ampere and Turing architecture, use the below cmake command line:
```bash
$ cmake .. -DCUTLASS_NVCC_ARCHS='75;80' -DCUTLASS_LIBRARY_KERNELS=cutlass_tensorop_s*fprop_optimized_f16
...
@@ -466,7 +466,7 @@ reference_device: Passed
### Building one Convolution CUDA kernel
To compile and run one CUDA Core convolution kernel implementing forward propagation (fprop) with F32 accumulation
and FP32 input targetting NVIDIA Ampere and Turing architecture, use the below cmake command line:
and FP32 input targeting NVIDIA Ampere and Turing architecture, use the below cmake command line:
```bash
$ cmake .. -DCUTLASS_NVCC_ARCHS='75;80' -DCUTLASS_LIBRARY_KERNELS=cutlass_simt_sfprop_optimized_128x128_8x2_nhwc
...