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Modified the template parameters to make the instances work.

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apoorva
2025-07-01 10:21:25 +00:00
parent cdaff7f210
commit 6a116fa958
2 changed files with 16 additions and 16 deletions
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8
library/src/tensor_operation_instance/gpu/gemm_add_relu/device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_instance.cpp
View File

@@ -28,7 +28,7 @@ using device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_generi
//##############################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Specialization| Prefetch| Size| Block| Block| Block| | | WMMA| WMMA| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MWmmaPerWave| NWmmaPerWave| _MBlock_MWaveMPerWmma| ScalarPerVector|
//##############################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerWmma| _NWaveNPerWmma|
//##############################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32,BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 256, 64, 128, 32, 8, 8, 32, 32, 1, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 32, 1, 8>, 1>
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32, BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 512, 64, 512, 32, 8, 16, 16, 4, 2, S<4, 16, 8>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 2, S<1, 16, 1, 4>, 8>
// clang-format on
>;
@@ -39,9 +39,9 @@ using device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_instan
//##############################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Specialization| Prefetch| Size| Block| Block| Block| | | Wmma|Wmma| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MWmmaPerWave| NWmmaPerWave| _MBlock_MWaveMPerWmma| ScalarPerVector|
//##############################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerWmma| _NWaveNPerWmma|
//##############################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32,BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 256, 16, 128, 32, 8, 8, 16, 16, 1, 2, S<4, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32,BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32,BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 64, 16, 16, 64, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32, BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 512, 64, 512, 32, 8, 16, 16, 4, 2, S<4, 16, 8>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 2, S<1, 16, 1, 4>, 8, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32, BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 128, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 2, S<1, 32, 1, 4>, 8, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, BF16, BF16, F32, F32, BF16_Tuple, BF16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 128, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 2, S<1, 32, 1, 4>, 8, LoopScheduler::Default, PipelineVersion::v1>
// clang-format on
>;

24
library/src/tensor_operation_instance/gpu/gemm_add_relu/device_gemm_add_relu_wmma_c_shuffle_f16_f16_f16_f16_mk_kn_mn_mn_instance.cpp
View File

@@ -28,41 +28,41 @@ using device_gemm_add_relu_wmma_c_shuffle_f16_f16_f16_f16_mk_kn_mn_mn_generic_in
//##############################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Specialization| Prefetch| Size| Block| Block| Block| | | WMMA| WMMA| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MWmmaPerWave| NWmmaPerWave| _MBlock_MWaveMPerWmma| ScalarPerVector|
//##############################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerWmma| _NWaveNPerWmma|
//##############################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32,F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 256, 64, 128, 32, 8, 8, 32, 32, 1, 2, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 1, 8, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 8, 1, 1, 1, S<1, 32, 1, 8>, 1>
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32, F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 512, 64, 512, 32, 8, 16, 16, 4, 2, S<4, 16, 8>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 2, S<1, 16, 1, 4>, 8>
// clang-format on
>;
using device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_instances = std::tuple<
using device_gemm_add_relu_wmma_c_shuffle_f16_f16_f16_f16_mk_kn_mn_mn_instances = std::tuple<
// clang-format off
// M/N/K padding
//##############################| A| B| Ds| E| AData| BData| AccData| CShuffle| DsData| EData| A| B| CDE| GEMM| NumGemmK| Block| MPer| NPer| KPer| AK1| BK1| MPer| NPer| MWmma| NWmma| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer|
//##############################| Layout| Layout| Layout| Layout| Type| Type| Type| DataType| Type| Type| Elementwise| Elementwise| Elementwise| Specialization| Prefetch| Size| Block| Block| Block| | | Wmma|Wmma| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MWmmaPerWave| NWmmaPerWave| _MBlock_MWaveMPerWmma| ScalarPerVector|
//##############################| | | | | | | | | | | Operation| Operation| Operation| | Stage| | | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NWaveNPerWmma| _NWaveNPerWmma|
//##############################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32,F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 256, 16, 128, 32, 8, 8, 16, 16, 1, 2, S<4, 16, 4>, S<1, 0, 2>, S<1, 0, 2>, 2, 2, 2, 1, S<4, 64, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32,F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 64, 16, 16, 32, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32,F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 64, 16, 16, 64, 8, 8, 16, 16, 1, 1, S<4, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 1, 1, 1, S<1, 16, 1, 4>, 1, LoopScheduler::Default, PipelineVersion::v1>
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32, F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 512, 64, 512, 32, 8, 16, 16, 4, 2, S<4, 16, 8>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, S<4, 64, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, 1, 2, S<1, 16, 1, 4>, 8, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32, F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 128, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 2, S<1, 32, 1, 4>, 8, LoopScheduler::Default, PipelineVersion::v1>,
DeviceGemmMultipleD_Wmma_CShuffle< Row, Row, Row_Tuple, Row, F16, F16, F32, F32, F16_Tuple, F16, PassThrough, PassThrough, AddRelu, GemmMNKPadding, 1, 128, 64, 64, 64, 8, 16, 16, 2, 2, S<4, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 1, S<4, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 8, 1, 1, 2, S<1, 32, 1, 4>, 8, LoopScheduler::Default, PipelineVersion::v1>
// clang-format on
>;
void add_device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_instances(
void add_device_gemm_add_relu_wmma_c_shuffle_f16_f16_f16_f16_mk_kn_mn_mn_instances(
std::vector<std::unique_ptr<DeviceGemmMultipleD<Row,
Row,
Row_Tuple,
Row,
BF16,
BF16,
BF16_Tuple,
BF16,
F16,
F16,
F16_Tuple,
F16,
PassThrough,
PassThrough,
AddRelu>>>& instances)
{
add_device_operation_instances(
instances,
device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_generic_instances{});
device_gemm_add_relu_wmma_c_shuffle_f16_f16_f16_f16_mk_kn_mn_mn_generic_instances{});
add_device_operation_instances(
instances, device_gemm_add_relu_wmma_c_shuffle_bf16_bf16_bf16_bf16_mk_kn_mn_mn_instances{});
instances, device_gemm_add_relu_wmma_c_shuffle_f16_f16_f16_f16_mk_kn_mn_mn_instances{});
}
} // namespace instance