ROCm/composable_kernel
1
0
Fork 0
mirror of https://github.com/ROCm/composable_kernel.git synced 2026-06-30 03:37:38 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add good instance

Browse Source
This commit is contained in:
Graner, Johannes
2026-01-30 10:45:31 -05:00
parent 6a6177a246
commit a56307b07e
1 changed files with 2 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
library/include/ck/library/tensor_operation_instance/gpu/grouped_conv_bwd_weight/device_grouped_conv_bwd_weight_v3_xdl_instance.hpp
View File

@@ -123,7 +123,8 @@ using device_grouped_conv_bwd_weight_v3_xdl_c_shuffle_f16_direct_load_instances
DeviceGroupedConvBwdWeight_Xdl_CShuffleV3< NDimSpatial, ALayout, BLayout, ELayout, F16, F16, F16, F32, PassThrough, PassThrough, PassThrough, ConvSpec, 256, 64, 128, 64, 8, 32, 32, 1, 2, S<4, 8, 8>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, S<4, 16, 4>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, 1, 1, S<1, 32, 1, 8>, 8, Scheduler, PipelineVersion, F16, F16, true, 2>,
DeviceGroupedConvBwdWeight_Xdl_CShuffleV3< NDimSpatial, ALayout, BLayout, ELayout, F16, F16, F16, F32, PassThrough, PassThrough, PassThrough, ConvSpec, 256, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 8, 8>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, S<4, 8, 8>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, 1, 1, S<1, 32, 1, 4>, 8, Scheduler, PipelineVersion, F16, F16, true>,
DeviceGroupedConvBwdWeight_Xdl_CShuffleV3< NDimSpatial, ALayout, BLayout, ELayout, F16, F16, F16, F32, PassThrough, PassThrough, PassThrough, ConvSpec, 256, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 8, 8>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, S<4, 8, 8>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, 1, 1, S<1, 32, 1, 4>, 2, Scheduler, PipelineVersion, F16, F16, true>,
DeviceGroupedConvBwdWeight_Xdl_CShuffleV3< NDimSpatial, ALayout, BLayout, ELayout, F16, F16, F16, F32, PassThrough, PassThrough, PassThrough, ConvSpec, 256, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 32, 2>, S<0, 2, 1>,S<0, 2, 1>, 1, 2, 1, 0, S<4, 32, 2>, S<0, 2, 1>,S<0, 2, 1>, 1, 2, 1, 0, 1, 1, S<1, 32, 1, 4>, 4, Scheduler, PipelineVersion, F16, F16, true>
DeviceGroupedConvBwdWeight_Xdl_CShuffleV3< NDimSpatial, ALayout, BLayout, ELayout, F16, F16, F16, F32, PassThrough, PassThrough, PassThrough, ConvSpec, 256, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 32, 2>, S<0, 2, 1>,S<0, 2, 1>, 1, 2, 1, 0, S<4, 32, 2>, S<0, 2, 1>,S<0, 2, 1>, 1, 2, 1, 0, 1, 1, S<1, 32, 1, 4>, 4, Scheduler, PipelineVersion, F16, F16, true>,
DeviceGroupedConvBwdWeight_Xdl_CShuffleV3< NDimSpatial, ALayout, BLayout, ELayout, F16, F16, F16, F32, PassThrough, PassThrough, PassThrough, ConvSpec, 256, 128, 64, 32, 8, 32, 32, 2, 1, S<2, 16, 8>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, S<2, 8, 16>, S<0, 2, 1>,S<0, 2, 1>, 1, 8, 8, 0, 1, 1, S<1, 32, 1, 8>, 8, Scheduler, PipelineVersion, F16, F16, true>
// clang-format on
>;