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Commit 9292361d authored by aska-0096's avatar aska-0096
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tunning kernel

parent df7a58bc
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example/30_grouped_conv_fwd_multiple_d/run_grouped_conv_fwd_bias_relu_add_wmma_example.inc
View file @ 9292361d
...@@ -47,7 +47,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -47,7 +47,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -58,7 +58,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -58,7 +58,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -69,7 +69,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -69,7 +69,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// K0 = 3 // K0 = 3
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -81,7 +81,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -81,7 +81,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -92,7 +92,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -92,7 +92,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<3, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<3, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 2, 1, S<1, 192, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -103,7 +103,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -103,7 +103,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -114,7 +114,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -114,7 +114,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// K0 = 4 // K0 = 4
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -126,7 +126,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -126,7 +126,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -137,7 +137,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -137,7 +137,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -148,7 +148,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -148,7 +148,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// K0 = 5 // K0 = 5
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -160,7 +160,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -160,7 +160,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -171,7 +171,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -171,7 +171,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -182,7 +182,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -182,7 +182,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// K0 = 6 // K0 = 6
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -194,7 +194,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -194,7 +194,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -205,7 +205,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -205,7 +205,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -216,7 +216,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -216,7 +216,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// K0 = 7 // K0 = 7
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -228,7 +228,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -228,7 +228,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -239,7 +239,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -239,7 +239,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -250,7 +250,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -250,7 +250,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// K0 = 8 // K0 = 8
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -262,7 +262,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -262,7 +262,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 256, 1, 1>, 16>, 2, 1, S<1, 256, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -273,7 +273,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -273,7 +273,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 1>, 16>, 2, 1, S<1, 128, 1, 1>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -284,7 +284,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -284,7 +284,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 1, // MRepeat x NRepeat 2, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 1>, 16>, 2, 1, S<1, 64, 1, 1>, 16>,
// GEMM_N=32, Wave N = 1 // GEMM_N=32, Wave N = 1
// K0 = 2 // K0 = 2
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
...@@ -297,7 +297,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -297,7 +297,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -308,7 +308,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -308,7 +308,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -319,7 +319,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -319,7 +319,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// K0 = 3 // K0 = 3
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -331,7 +331,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -331,7 +331,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -342,7 +342,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -342,7 +342,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<3, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<3, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 96, 1, 2>, 16>, 4, 1, S<1, 96, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -353,7 +353,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -353,7 +353,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -364,7 +364,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -364,7 +364,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// K0 = 4 // K0 = 4
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -376,7 +376,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -376,7 +376,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 16, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -387,7 +387,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -387,7 +387,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -398,7 +398,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -398,7 +398,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// K0 = 5 // K0 = 5
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -410,7 +410,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -410,7 +410,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -421,7 +421,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -421,7 +421,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -432,7 +432,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -432,7 +432,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// K0 = 6 // K0 = 6
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -444,7 +444,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -444,7 +444,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -455,7 +455,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -455,7 +455,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -466,7 +466,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -466,7 +466,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// K0 = 7 // K0 = 7
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -478,7 +478,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -478,7 +478,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -489,7 +489,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -489,7 +489,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -500,7 +500,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -500,7 +500,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// K0 = 8 // K0 = 8
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -512,7 +512,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -512,7 +512,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 4, 1, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -523,7 +523,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -523,7 +523,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 4, 1, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -534,7 +534,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -534,7 +534,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 1, // MRepeat x NRepeat 4, 1, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 4, 1, S<1, 32, 1, 2>, 16>,
// GEMM_N=32, Wave N = 1 // GEMM_N=32, Wave N = 1
// K0 = 2 // K0 = 2
...@@ -548,7 +548,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -548,7 +548,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -559,7 +559,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -559,7 +559,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -570,7 +570,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -570,7 +570,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// K0 = 3 // K0 = 3
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -582,7 +582,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -582,7 +582,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -593,7 +593,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -593,7 +593,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<3, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<3, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 64, 1, 3>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -604,7 +604,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -604,7 +604,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -615,7 +615,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -615,7 +615,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// K0 = 4 // K0 = 4
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -627,7 +627,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -627,7 +627,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -638,7 +638,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -638,7 +638,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -649,7 +649,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -649,7 +649,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// K0 = 5 // K0 = 5
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -661,7 +661,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -661,7 +661,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -672,7 +672,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -672,7 +672,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -683,7 +683,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -683,7 +683,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// K0 = 6 // K0 = 6
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -695,7 +695,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -695,7 +695,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -706,7 +706,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -706,7 +706,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -717,7 +717,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -717,7 +717,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// K0 = 7 // K0 = 7
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -729,7 +729,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -729,7 +729,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -740,7 +740,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -740,7 +740,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -751,7 +751,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -751,7 +751,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// K0 = 8 // K0 = 8
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -763,7 +763,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -763,7 +763,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true, S<1, 32, 8>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, true,
1, 1, S<1, 128, 1, 2>, 16>, 2, 2, S<1, 128, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -774,7 +774,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -774,7 +774,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 32, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 2>, 16>, 2, 2, S<1, 64, 1, 2>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -785,7 +785,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -785,7 +785,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 2, // MRepeat x NRepeat 2, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 32, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 2>, 16>, 2, 2, S<1, 32, 1, 2>, 16>,
// GEMM_N=64, Wave N = 1 // GEMM_N=64, Wave N = 1
// K0 = 2 // K0 = 2
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
...@@ -798,7 +798,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -798,7 +798,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -809,7 +809,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -809,7 +809,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -820,7 +820,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -820,7 +820,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// K0 = 3 // K0 = 3
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -832,7 +832,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -832,7 +832,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -843,7 +843,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -843,7 +843,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<3, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<3, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 64, 1, 3>, 16>, 2, 4, S<1, 48, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -854,7 +854,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -854,7 +854,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -865,7 +865,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -865,7 +865,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// K0 = 4 // K0 = 4
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -877,7 +877,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -877,7 +877,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -888,7 +888,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -888,7 +888,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -899,7 +899,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -899,7 +899,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// K0 = 5 // K0 = 5
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -911,7 +911,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -911,7 +911,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -922,7 +922,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -922,7 +922,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -933,7 +933,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -933,7 +933,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// K0 = 6 // K0 = 6
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -945,7 +945,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -945,7 +945,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -956,7 +956,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -956,7 +956,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -967,7 +967,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -967,7 +967,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// K0 = 7 // K0 = 7
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -979,7 +979,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -979,7 +979,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -990,7 +990,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -990,7 +990,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1001,7 +1001,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1001,7 +1001,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// K0 = 8 // K0 = 8
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1013,7 +1013,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1013,7 +1013,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 2, 4, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1024,7 +1024,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1024,7 +1024,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 2, 4, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1035,7 +1035,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1035,7 +1035,7 @@ using DeviceConvFwdInstances = std::tuple<
2, 4, // MRepeat x NRepeat 2, 4, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 2, 4, S<1, 16, 1, 4>, 16>,
// GEMM_N = 64, WaveN = 2 // GEMM_N = 64, WaveN = 2
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
...@@ -1048,7 +1048,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1048,7 +1048,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1059,7 +1059,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1059,7 +1059,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1070,7 +1070,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1070,7 +1070,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// K0 = 3 // K0 = 3
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1082,7 +1082,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1082,7 +1082,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1093,7 +1093,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1093,7 +1093,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<3, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<3, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 64, 1, 3>, 16>, 4, 2, S<1, 48, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1104,7 +1104,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1104,7 +1104,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1115,7 +1115,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1115,7 +1115,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// K0 = 4 // K0 = 4
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1127,7 +1127,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1127,7 +1127,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1138,7 +1138,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1138,7 +1138,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1149,7 +1149,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1149,7 +1149,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// K0 = 5 // K0 = 5
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1161,7 +1161,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1161,7 +1161,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1172,7 +1172,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1172,7 +1172,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1183,7 +1183,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1183,7 +1183,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// K0 = 6 // K0 = 6
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1195,7 +1195,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1195,7 +1195,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1206,7 +1206,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1206,7 +1206,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1217,7 +1217,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1217,7 +1217,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// K0 = 7 // K0 = 7
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1229,7 +1229,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1229,7 +1229,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1240,7 +1240,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1240,7 +1240,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1251,7 +1251,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1251,7 +1251,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// K0 = 8 // K0 = 8
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
...@@ -1263,7 +1263,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1263,7 +1263,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 256, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 64, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 4>, 16>, 4, 2, S<1, 64, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1274,7 +1274,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1274,7 +1274,7 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 128, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true, S<1, 64, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8 , 8, true,
1, 1, S<1, 32, 1, 4>, 16>, 4, 2, S<1, 32, 1, 4>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1285,7 +1285,8 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1285,7 +1285,8 @@ using DeviceConvFwdInstances = std::tuple<
4, 2, // MRepeat x NRepeat 4, 2, // MRepeat x NRepeat
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, S<1, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true,
1, 1, S<1, 16, 1, 4>, 16>, 4, 2, S<1, 16, 1, 4>, 16>,
// GEMM_N=48
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1296,7 +1297,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1296,7 +1297,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1307,7 +1308,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1307,7 +1308,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16>, 6, 1, S<1, 32, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1318,7 +1319,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1318,7 +1319,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1329,7 +1330,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1329,7 +1330,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16>, 6, 1, S<1, 32, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1340,7 +1341,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1340,7 +1341,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1351,7 +1352,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1351,7 +1352,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16>, 6, 1, S<1, 32, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1362,7 +1363,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1362,7 +1363,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1373,7 +1374,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1373,7 +1374,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16>, 6, 1, S<1, 32, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1384,7 +1385,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1384,7 +1385,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1395,7 +1396,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1395,7 +1396,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16>, 6, 1, S<1, 32, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1406,7 +1407,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1406,7 +1407,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1417,7 +1418,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1417,7 +1418,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16>, 6, 1, S<1, 32, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1428,7 +1429,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1428,7 +1429,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 192, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true, S<1, 48, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 4, 4, true,
1, 1, S<1, 64, 1, 3>, 16>, 6, 1, S<1, 64, 1, 3>, 16>,
ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle< ck::tensor_operation::device::DeviceGroupedConvFwdMultipleD_Wmma_CShuffle<
NDimSpatial, NDimSpatial,
InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>, InputLayout<NDimSpatial>, WeightLayout<NDimSpatial>, ck::Tuple<BiasLayout<NDimSpatial>, ResidualLayout<NDimSpatial>>, OutputLayout<NDimSpatial>,
...@@ -1439,7 +1440,7 @@ using DeviceConvFwdInstances = std::tuple< ...@@ -1439,7 +1440,7 @@ using DeviceConvFwdInstances = std::tuple<
6, 1, // MRepeat x NRepeat 6, 1, // MRepeat x NRepeat
S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM S<1, 96, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, true, // ABlockTransferThreadClusterLengths_AK0_M_AK1, ArrangeOrder, SrcAccessOrder, VectorDim, SrcScalarPerVector, DstScalarPerVector_AK1, LdsExtraM
S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true, S<1, 48, 2>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, true,
1, 1, S<1, 32, 1, 3>, 16> 6, 1, S<1, 32, 1, 3>, 16>
>; >;
// clang-format on // clang-format on
......
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