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move main to kernel level from the shape level #207

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merged 1 commit into from
Apr 4, 2024
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@superlopuh superlopuh self-assigned this Apr 4, 2024
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github-actions bot commented Apr 4, 2024

kernels baseline linalg scf_xdsl snitch_stream snrt min_llvm_mlir
conv2d_d1_s1_3x3 1x1x8x8xf64 1569 1491 1504 1488 1491
ddot 128xf64 961 957 2245 205 569 957
dense 8x8xf64 3240 3257 2729 2737 3240
dsum 8x16xf32 1224 809 5480 177 198 809
fill 16x16xf64 349 349 2647 291 289 349
matmul 8x8xf64 2517 2829 648 2325 2517
pooling_nchw_max_d1_s2_3x3 1x1x16x16xf64 1447 1194 1114 1099 1194
pooling_nchw_sum_d1_s2_3x3 1x1x16x16xf64 1940 1940 1996 1981 1940
relu 16x16xf64 1096 1086 7556 335 324 1086

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github-actions bot commented Apr 4, 2024

kernels baseline linalg scf_xdsl snitch_stream snrt
conv2d_d1_s1_3x3 1x1x8x8xf64 0.23 0.22 0.22 0.22
ddot 128xf64 0.13 0.13 0.06 0.66 0.23
dense 8x8xf64 0.20 0.20 0.24 0.23
dsum 8x16xf32 0.11 0.16 0.02 0.73 0.65
fill 16x16xf64 0.00 0.00 0.00 0.89 0.89
matmul 8x8xf64 0.20 0.18 0.79 0.28
pooling_nchw_max_d1_s2_3x3 1x1x16x16xf64 0.31 0.37 0.40 0.40
pooling_nchw_sum_d1_s2_3x3 1x1x16x16xf64 0.23 0.23 0.22 0.22
relu 16x16xf64 0.24 0.24 0.03 0.77 0.80

@compor compor merged commit d8e3992 into main Apr 4, 2024
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@superlopuh superlopuh deleted the sasha/move-main-up branch April 4, 2024 13:17
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github-actions bot commented Apr 4, 2024

kernels baseline linalg scf_xdsl snitch_stream snrt min_llvm_mlir
conv2d_d1_s1_3x3 1x1x8x8xf64 1569 1491 1504 1488 1491
ddot 128xf64 961 957 2245 205 569 957
dense 8x8xf64 3240 3257 2729 2737 3240
dsum 8x16xf32 1224 809 5480 177 198 809
fill 16x16xf64 349 349 2647 291 289 349
matmul 8x8xf64 2517 2829 648 2325 2517
pooling_nchw_max_d1_s2_3x3 1x1x16x16xf64 1447 1194 1114 1099 1194
pooling_nchw_sum_d1_s2_3x3 1x1x16x16xf64 1940 1940 1996 1981 1940
relu 16x16xf64 1096 1086 7556 335 324 1086

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github-actions bot commented Apr 4, 2024

kernels baseline linalg scf_xdsl snitch_stream snrt
conv2d_d1_s1_3x3 1x1x8x8xf64 0.23 0.22 0.22 0.22
ddot 128xf64 0.13 0.13 0.06 0.66 0.23
dense 8x8xf64 0.20 0.20 0.24 0.23
dsum 8x16xf32 0.11 0.16 0.02 0.73 0.65
fill 16x16xf64 0.00 0.00 0.00 0.89 0.89
matmul 8x8xf64 0.20 0.18 0.79 0.28
pooling_nchw_max_d1_s2_3x3 1x1x16x16xf64 0.31 0.37 0.40 0.40
pooling_nchw_sum_d1_s2_3x3 1x1x16x16xf64 0.23 0.23 0.22 0.22
relu 16x16xf64 0.24 0.24 0.03 0.77 0.80

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3 participants