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https://github.com/ROCm/composable_kernel.git
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Add other layouts for FP8 block scaled gemm (#2665)
* Start adding other layouts for gemm_ab_scale * Add some instances * Create tensor descriptors for A/B scales depending on A/B layout * Fix formatting * Revert some comments * Revert commented instances in CMakeLists.txt * Add some more instances for col-row gemm * enable more row,row instances * Use occupancy=1 for col,row layout to avoid spills
This commit is contained in:
Sami Remes
@@ -17,6 +17,7 @@ namespace tensor_operation {
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namespace device {
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namespace instance {
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#if(defined(CK_ENABLE_BF16) || defined(CK_ENABLE_FP8))
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// Row, Col
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_1_128_128_comp_default_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
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Col,
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@@ -88,6 +89,152 @@ void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_1_128_128_mem_v1_kpadding_
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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// Row, Row
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_default_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_kpadding_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_v1_default_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_v1_kpadding_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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// Col, Row
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_default_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_kpadding_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_v1_default_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_v1_kpadding_instances(
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std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
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Row,
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Tuple<>,
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Row,
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F8,
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F32,
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F8,
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F32,
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Tuple<>,
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BF16,
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1,
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128,
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128,
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PassThrough,
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PassThrough,
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PassThrough>>>& instances);
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#endif
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template <typename A0DataType,
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@@ -154,6 +301,32 @@ struct DeviceOperationInstanceFactory<ck::tensor_operation::device::DeviceGemmMu
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_1_128_128_mem_v1_kpadding_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Row> && is_same_v<BLayout, Row> &&
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is_same_v<CLayout, Row>)
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{
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_default_instances(
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op_ptrs);
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_kpadding_instances(
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op_ptrs);
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_v1_default_instances(
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op_ptrs);
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_v1_kpadding_instances(
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op_ptrs);
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}
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else if constexpr(is_same_v<ALayout, Col> && is_same_v<BLayout, Row> &&
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is_same_v<CLayout, Row>)
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{
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_default_instances(
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op_ptrs);
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_kpadding_instances(
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op_ptrs);
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_v1_default_instances(
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op_ptrs);
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add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_v1_kpadding_instances(
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op_ptrs);
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}
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}
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#endif
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return op_ptrs;
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@@ -2,15 +2,37 @@
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set(GEMM_AB_SCALE_INSTANCES)
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list(APPEND GEMM_AB_SCALE_INSTANCES
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# Row, Col
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_comp_default_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_comp_kpadding_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_mem_v1_default_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_mem_v1_kpadding_instance.cpp
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# Row, Row
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_comp_default_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_comp_kpadding_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_mem_v1_default_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_mem_v1_kpadding_instance.cpp
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# Col, Row
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_comp_default_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_comp_kpadding_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_mem_v1_default_instance.cpp
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device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_mem_v1_kpadding_instance.cpp
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)
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# Row, Col
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_comp_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_comp_kpadding_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_mem_v1_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_nk_mn_128_128_128_mem_v1_kpadding_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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# Row, Row
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_comp_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_comp_kpadding_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_mem_v1_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128_mem_v1_kpadding_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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# Col, Row
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_comp_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_comp_kpadding_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_mem_v1_default_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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set_source_files_properties(device_gemm_ab_scale_xdl_f8_f8_bf16/device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128_mem_v1_kpadding_instance.cpp PROPERTIES COMPILE_OPTIONS ";-mllvm;-greedy-reverse-local-assignment=1")
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add_instance_library(device_gemm_ab_scale_instance ${GEMM_AB_SCALE_INSTANCES})
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@@ -0,0 +1,96 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
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#include "ck/ck.hpp"
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#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
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#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
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#include "ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_xdl_cshuffle_v3_ab_scale.hpp"
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#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
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namespace ck {
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namespace tensor_operation {
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namespace device {
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namespace instance {
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using F8 = f8_t;
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using BF16 = bhalf_t;
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using F32 = float;
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using Row = tensor_layout::gemm::RowMajor;
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using Col = tensor_layout::gemm::ColumnMajor;
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template <index_t... Is>
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using S = Sequence<Is...>;
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using PassThrough = element_wise::PassThrough;
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using PassThrough = element_wise::PassThrough;
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static constexpr auto GemmDefault = GemmSpecialization::Default;
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static constexpr auto GemmKPadding = GemmSpecialization::KPadding;
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static constexpr auto GemmMNPadding = GemmSpecialization::MNPadding;
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static constexpr auto GemmMNKPadding = GemmSpecialization::MNKPadding;
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static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
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template <GemmSpecialization GemmSpec>
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using device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_instances =
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std::tuple<
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// clang-format off
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//################################| ALayout| BLayout| DsLayout| ELayout| AData| BData| DsData| EData| AccData| Cshuffle| A| B| C| GEMM| Block| Scale| Scale| Scale| MPer| NPer| KPer| AK1| BK1|MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer| Block-wiseGemm| Block-wiseGemm|
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//################################| | | | | Type| Type| Type| Type| Type| Type| Elementwise| Elementwise| Elementwise|Specialization| Size| Block| Block| Block| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector| Pipeline| Pipeline|
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//################################| | | | | | | | | | | Operation| Operation| Operation| | | M| N| K| | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl| Scheduler| Verision|
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//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
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// Compute friendly
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DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 128, 128, 4, 4, 32, 32, 2, 2, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
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DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 128, 128, 4, 4, 16, 16, 4, 4, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 2, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
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DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 128, 128, 4, 4, 32, 32, 2, 2, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 4, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
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DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 128, 128, 4, 4, 32, 32, 2, 2, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 64, 128, 4, 4, 32, 32, 2, 1, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 128, 128, 4, 4, 32, 32, 1, 2, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 4, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 64, 128, 4, 4, 32, 32, 1, 1, S< 8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 4, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <BlockGemmPipelineScheduler BlkGemmPipeSched, GemmSpecialization GemmSpec>
|
||||
using device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_instances = std::tuple<
|
||||
// clang-format off
|
||||
//################################| ALayout| BLayout| DsLayout| ELayout|AData | BData| DsData| EData| AccData| Cshuffle| A| B| C| GEMM| Block| Scale| Scale| Scale| MPer| NPer| KPer| AK1| BK1|MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer| Block-wiseGemm| Block-wiseGemm|
|
||||
//################################| | | | | Type | Type| Type| Type| Type| Type| Elementwise| Elementwise| Elementwise|Specialization| Size| Block| Block| Block| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector| Pipeline| Pipeline|
|
||||
//################################| | | | | | | | | | | Operation| Operation| Operation| | | M| N| K| | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl| Scheduler| Verision|
|
||||
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
||||
|
||||
// Memory friendly
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 256, 128, 4, 4, 16, 16, 1, 4, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 2, S<1, 16, 1, 16>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 128, 128, 4, 4, 16, 16, 1, 2, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 2, S<1, 16, 1, 16>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 64, 128, 4, 4, 16, 16, 1, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, 1, 1, S<1, 16, 1, 16>, S<4>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
// FIXME: KPerBlock=256 give numerically bad results:
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 128, 256, 4, 4, 16, 16, 1, 2, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 2, S<1, 16, 1, 16>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 64, 256, 4, 4, 16, 16, 1, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 1, S<1, 16, 1, 16>, S<4>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 256, 128, 4, 4, 32, 32, 1, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 128, 128, 4, 4, 32, 32, 1, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 64, 128, 4, 4, 16, 16, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 1, 1, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, 2, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 256, 128, 4, 4, 32, 32, 1, 2, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 128, 128, 4, 4, 32, 32, 1, 1, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 64, 128, 4, 4, 16, 16, 2, 1, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 2, 0, 2, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
// FIXME: KPerBlock=256 give numerically bad results:
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 128, 256, 4, 4, 32, 32, 1, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 64, 256, 4, 4, 16, 16, 2, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, 2, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 256, 128, 4, 4, 32, 32, 2, 2, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 128, 128, 4, 4, 32, 32, 2, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 64, 128, 4, 4, 32, 32, 1, 1, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>
|
||||
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 128, 256, 4, 4, 32, 32, 2, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Col, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 64, 256, 4, 4, 32, 32, 1, 1, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, S<16, 16, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>
|
||||
// clang-format on
|
||||
>;
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,37 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_default_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_instances<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,37 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_kpadding_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_comp_instances<GemmKPadding>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,38 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_v1_default_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_instances<Intrawave,
|
||||
GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,38 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_v1_kpadding_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Col,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_km_kn_mn_1_128_128_mem_instances<Intrawave,
|
||||
GemmKPadding>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,87 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "ck/ck.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/gemm_specialization.hpp"
|
||||
#include "ck/tensor_operation/gpu/device/impl/device_gemm_multiple_d_xdl_cshuffle_v3_ab_scale.hpp"
|
||||
|
||||
#include "ck/library/tensor_operation_instance/add_device_operation_instance.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
using F8 = f8_t;
|
||||
using BF16 = bhalf_t;
|
||||
using F32 = float;
|
||||
|
||||
using Row = tensor_layout::gemm::RowMajor;
|
||||
using Col = tensor_layout::gemm::ColumnMajor;
|
||||
|
||||
template <index_t... Is>
|
||||
using S = Sequence<Is...>;
|
||||
|
||||
using PassThrough = element_wise::PassThrough;
|
||||
using PassThrough = element_wise::PassThrough;
|
||||
|
||||
static constexpr auto GemmDefault = GemmSpecialization::Default;
|
||||
static constexpr auto GemmKPadding = GemmSpecialization::KPadding;
|
||||
static constexpr auto GemmMNPadding = GemmSpecialization::MNPadding;
|
||||
static constexpr auto GemmMNKPadding = GemmSpecialization::MNKPadding;
|
||||
|
||||
static constexpr auto Intrawave = BlockGemmPipelineScheduler::Intrawave;
|
||||
|
||||
template <GemmSpecialization GemmSpec>
|
||||
using device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_instances =
|
||||
std::tuple<
|
||||
// clang-format off
|
||||
//################################| ALayout| BLayout| DsLayout| ELayout| AData| BData| DsData| EData| AccData| Cshuffle| A| B| C| GEMM| Block| Scale| Scale| Scale| MPer| NPer| KPer| AK1| BK1|MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer| Block-wiseGemm| Block-wiseGemm|
|
||||
//################################| | | | | Type| Type| Type| Type| Type| Type| Elementwise| Elementwise| Elementwise|Specialization| Size| Block| Block| Block| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector| Pipeline| Pipeline|
|
||||
//################################| | | | | | | | | | | Operation| Operation| Operation| | | M| N| K| | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl| Scheduler| Verision|
|
||||
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
||||
|
||||
// Compute friendly
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 128, 128, 16, 4, 32, 32, 2, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 16, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 128, 64, 128, 16, 4, 32, 32, 2, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 128, 128, 16, 4, 32, 32, 1, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8, F32, F8, F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 64, 128, 16, 4, 32, 32, 1, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<32, 8, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlockGemmPipelineScheduler::Intrawave, BlockGemmPipelineVersion::v3, F8>
|
||||
// clang-format on
|
||||
>;
|
||||
|
||||
template <BlockGemmPipelineScheduler BlkGemmPipeSched, GemmSpecialization GemmSpec>
|
||||
using device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_instances = std::tuple<
|
||||
// clang-format off
|
||||
//################################| ALayout| BLayout| DsLayout| ELayout|AData | BData| DsData| EData| AccData| Cshuffle| A| B| C| GEMM| Block| Scale| Scale| Scale| MPer| NPer| KPer| AK1| BK1|MPer| NPer| MXdl| NXdl| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockTransfer| ABlockLds| BBlockTransfer| BBlockTransfer| BBlockTransfer| BlockTransfer| BBlockTransfer| BBlockTransfer| BBlockLds| CShuffle| CShuffle| CBlockTransferClusterLengths| CBlockTransfer| Block-wiseGemm| Block-wiseGemm|
|
||||
//################################| | | | | Type | Type| Type| Type| Type| Type| Elementwise| Elementwise| Elementwise|Specialization| Size| Block| Block| Block| Block| Block| Block| | | XDL| XDL| Per| Per| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraM| ThreadCluster| ThreadCluster| SrcAccessOrder| SrcVectorDim| SrcScalar| DstScalar| AddExtraN| MXdlPerWave| NXdlPerWave| _MBlock_MXdlPerWave_MWaveMPerXdl| ScalarPerVector| Pipeline| Pipeline|
|
||||
//################################| | | | | | | | | | | Operation| Operation| Operation| | | M| N| K| | | | | | | | Wave| Wave| Lengths_K0_M_K1| ArrangeOrder| | | PerVector| PerVector_K1| | Lengths_K0_N_K1| ArrangeOrder| | | PerVector| PerVector_K1| | PerShuffle| PerShuffle| _NBlock_NXdlPerWave_NWaveNPerXdl| _NWaveNPerXdl| Scheduler| Verision|
|
||||
//################################| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
||||
|
||||
// Memory friendly
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 256, 128, 8, 4, 16, 16, 1, 4, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 2, S<1, 16, 1, 16>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 128, 128, 8, 4, 16, 16, 1, 2, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 2, S<1, 16, 1, 16>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 64, 128, 8, 4, 16, 16, 1, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 8, 8, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, 1, 1, S<1, 16, 1, 16>, S<4>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 128, 256, 16, 16, 16, 16, 1, 2, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 2, S<1, 16, 1, 16>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 16, 64, 256, 16, 16, 16, 16, 1, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 16, 1, 16>, S<4>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 256, 128, 16, 4, 32, 32, 1, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<0, 2, 1>, S<1, 0, 2>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 128, 128, 16, 4, 32, 32, 1, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<0, 2, 1>, S<1, 0, 2>, 1, 4, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 64, 128, 16, 4, 16, 16, 2, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<0, 2, 1>, S<1, 0, 2>, 1, 2, 2, 0, 2, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 128, 256, 16, 16, 32, 32, 1, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 32, 64, 256, 16, 16, 16, 16, 2, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 2, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 256, 128, 16, 4, 32, 32, 2, 2, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 8, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 128, 128, 16, 4, 32, 32, 2, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 4, 4, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 64, 128, 16, 4, 32, 32, 1, 1, S<8, 32, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<8, 32, 1>, S<0, 2, 1>, S<0, 2, 1>, 1, 2, 2, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>
|
||||
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 128, 256, 16, 16, 32, 32, 2, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>,
|
||||
// DeviceGemmMultiD_ABScale_Xdl_CShuffle_V3< Row, Row, Tuple<>, Row, F8,F32, F8,F32, Tuple<>, BF16, F32, F32, PassThrough, PassThrough, PassThrough, GemmSpec, 256, 1, 128, 128, 64, 64, 256, 16, 16, 32, 32, 1, 1, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, S<16, 16, 1>, S<1, 0, 2>, S<1, 0, 2>, 2, 16, 16, 0, 1, 1, S<1, 32, 1, 8>, S<8>, BlkGemmPipeSched, BlockGemmPipelineVersion::v1, F8>
|
||||
// clang-format on
|
||||
>;
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,37 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_default_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_instances<GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,37 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_kpadding_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_comp_instances<GemmKPadding>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,38 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_v1_default_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_instances<Intrawave,
|
||||
GemmDefault>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
@@ -0,0 +1,38 @@
|
||||
// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
|
||||
#include "device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_128_128_128.hpp"
|
||||
|
||||
namespace ck {
|
||||
namespace tensor_operation {
|
||||
namespace device {
|
||||
namespace instance {
|
||||
|
||||
void add_device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_v1_kpadding_instances(
|
||||
std::vector<std::unique_ptr<DeviceGemmMultipleD_ABScale<Row,
|
||||
Row,
|
||||
Tuple<>,
|
||||
Row,
|
||||
F8,
|
||||
F32,
|
||||
F8,
|
||||
F32,
|
||||
Tuple<>,
|
||||
BF16,
|
||||
1,
|
||||
128,
|
||||
128,
|
||||
PassThrough,
|
||||
PassThrough,
|
||||
PassThrough>>>& instances)
|
||||
{
|
||||
add_device_operation_instances(
|
||||
instances,
|
||||
device_gemm_ab_scale_xdl_f8_f8_bf16_mk_kn_mn_1_128_128_mem_instances<Intrawave,
|
||||
GemmKPadding>{});
|
||||
}
|
||||
|
||||
} // namespace instance
|
||||
} // namespace device
|
||||
} // namespace tensor_operation
|
||||
} // namespace ck
|
||||
Reference in New Issue
Block a user