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Change 1d,2d,... to 1D,2D,... (#997)

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[ROCm/composable_kernel commit: 0abc0f87db]
This commit is contained in:
Bartlomiej Wroblewski
2023-10-19 16:53:18 +02:00
committed by GitHub
parent 3ab2ba4e58
commit a3ec2dc3bb
4 changed files with 8 additions and 8 deletions
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4
example/12_reduce/README.md
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@@ -2,7 +2,7 @@
## Run ```example_reduce_blockwise```
```bash
# -D <xxx> : input 3d/4d/5d tensor lengths
# -D <xxx> : input 3D/4D/5D tensor lengths
# -R <xxx> : reduce dimension ids
# -v <x> : verification (0=no, 1=yes)
#arg1: data type (0: fp16, 1: fp32, 3: int8, 5: bp16, 6: fp64, 7: int4)
@@ -22,7 +22,7 @@ Perf: 0.238063 ms, 264.285 GB/s, DeviceReduceBlockWise<256,M_C4_S1,K_C64_S1,InSr
## Run ```example_reduce_multiblock_atomic_add```
```bash
# -D <xxx> : input 3d/4d/5d tensor lengths
# -D <xxx> : input 3D/4D/5D tensor lengths
# -R <xxx> : reduce dimension ids
# -v <x> : verification (0=no, 1=yes)
#arg1: data type (0: fp32, 1: fp64)

2
example/30_grouped_conv_fwd_multiple_d/README.md
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@@ -4,7 +4,7 @@ arg1: verification (0=no, 1=yes)
arg2: initialization (0=no init, 1=integer value, 2=decimal value)
arg3: time kernel (0=no, 1=yes)
Following arguments (depending on number of spatial dims):
Number of spatial dimensions (1=Conv1d, 2=Conv2d, 3=Conv3d)
Number of spatial dimensions (1=Conv1D, 2=Conv2D, 3=Conv3D)
G, N, K, C,
<filter spatial dimensions>, (ie Y, X for 2D)
<input image spatial dimensions>, (ie Hi, Wi for 2D)