rename example numbers to 34 and 35
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@ -288,7 +288,7 @@ struct Options {
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/// Prints the usage statement.
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std::ostream & print_usage(std::ostream &out) const {
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out << "30_wgrad_split_k example\n\n"
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out << "34_wgrad_split_k example\n\n"
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<< " This example shows how to compute conv2d gradient with respect to weight (wgrad).\n"
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<< " In wgrad, the K dimension of impligit GEMM, corresponding to the sequential reduction loop, is very large (N * P * Q).\n"
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<< " Split-k with parallel reduction is highly effective for such cases.\n\n"
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@ -312,7 +312,7 @@ struct Options {
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<< " --tag <string> String to replicate across the first column in the results table\n";
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out << "\n\nExamples:\n\n"
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<< "$ ./examples/30_wgrad_split_k/30_wgrad_split_k --n=32 --h=224 --w=224 --c=128 --k=256 --r=3 --s=3 --split-k-slices=8\n\n";
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<< "$ ./examples/34_wgrad_split_k/34_wgrad_split_k --n=32 --h=224 --w=224 --c=128 --k=256 --r=3 --s=3 --split-k-slices=8\n\n";
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return out;
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}
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@ -22,6 +22,6 @@
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cutlass_example_add_executable(
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30_wgrad_split_k
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30_wgrad_split_k.cu
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34_wgrad_split_k
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34_wgrad_split_k.cu
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)
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@ -226,7 +226,7 @@ struct Options {
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/// Prints the usage statement.
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std::ostream & print_usage(std::ostream &out) const {
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out << "31_transposed_conv2d example\n\n"
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out << "35_transposed_conv2d example\n\n"
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<< " This example shows how to compute 2d transposed convolution, also known as\n"
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<< " deconvolution, using CUTLASS conv2d Dgrad kernels. Although two operations are\n"
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<< " computationaly equivalent, some care is needed to correctly set up a problem size.\n\n"
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@ -247,7 +247,7 @@ struct Options {
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<< " --tag <string> String to replicate across the first column in the results table\n";
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out << "\n\nExamples:\n\n"
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<< "$ ./examples/31_transposed_conv2d/31_transposed_conv2d --n=8 --h=32 --w=32 --c=16 --k=32 --r=3 --s=3\n\n";
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<< "$ ./examples/35_transposed_conv2d/35_transposed_conv2d --n=8 --h=32 --w=32 --c=16 --k=32 --r=3 --s=3\n\n";
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return out;
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}
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@ -22,6 +22,6 @@
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cutlass_example_add_executable(
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31_transposed_conv2d
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31_transposed_conv2d.cu
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35_transposed_conv2d
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35_transposed_conv2d.cu
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)
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@ -101,8 +101,8 @@ foreach(EXAMPLE
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27_ampere_3xtf32_fast_accurate_tensorop_gemm
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28_ampere_3xtf32_fast_accurate_tensorop_fprop
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29_ampere_3xtf32_fast_accurate_tensorop_complex_gemm
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30_wgrad_split_k
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31_transposed_conv2d
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34_wgrad_split_k
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35_transposed_conv2d
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)
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add_subdirectory(${EXAMPLE})
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