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396 lines
26 KiB
MLIR
396 lines
26 KiB
MLIR
// RUN: mlir-opt %s -split-input-file | FileCheck %s
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// This file contains tests for sparse MMA (mma.sp.sync) operations with ORDERED metadata.
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// The ordered metadata variant was introduced in PTX ISA 8.5 for sm_90+ architectures.
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//
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// Based on PTX ISA documentation:
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// https://docs.nvidia.com/cuda/parallel-thread-execution/#warp-level-matrix-instructions-for-sparse-mma
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//
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// Ordered metadata provides an alternative metadata ordering for 2:4 structured sparsity
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// that can offer better performance on newer architectures.
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// =============================================================================
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// F16 Sparse MMA Operations with Ordered Metadata (m16n8k16)
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// =============================================================================
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k16_f16_f16
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func.func @nvvm_mma_sp_ordered_m16n8k16_f16_f16(
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%a0 : vector<2xf16>, %a1 : vector<2xf16>,
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%b0 : vector<2xf16>, %b1 : vector<2xf16>,
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%c0 : vector<2xf16>, %c1 : vector<2xf16>,
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%meta : i32) -> !llvm.struct<(vector<2xf16>, vector<2xf16>)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 16>} : (vector<2xf16>, vector<2xf16>, vector<2xf16>) -> !llvm.struct<(vector<2xf16>, vector<2xf16>)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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shape = #nvvm.shape<m = 16, n = 8, k = 16>}
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: (vector<2xf16>, vector<2xf16>, vector<2xf16>) -> !llvm.struct<(vector<2xf16>, vector<2xf16>)>
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return %0 : !llvm.struct<(vector<2xf16>, vector<2xf16>)>
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}
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k16_f16_f32
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func.func @nvvm_mma_sp_ordered_m16n8k16_f16_f32(
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%a0 : vector<2xf16>, %a1 : vector<2xf16>,
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%b0 : vector<2xf16>, %b1 : vector<2xf16>,
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%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
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%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 16>} : (vector<2xf16>, vector<2xf16>, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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shape = #nvvm.shape<m = 16, n = 8, k = 16>}
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: (vector<2xf16>, vector<2xf16>, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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return %0 : !llvm.struct<(f32, f32, f32, f32)>
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}
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// =============================================================================
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// F16 Sparse MMA Operations with Ordered Metadata (m16n8k32)
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// =============================================================================
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k32_f16_f16
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func.func @nvvm_mma_sp_ordered_m16n8k32_f16_f16(
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%a0 : vector<2xf16>, %a1 : vector<2xf16>, %a2 : vector<2xf16>, %a3 : vector<2xf16>,
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%b0 : vector<2xf16>, %b1 : vector<2xf16>, %b2 : vector<2xf16>, %b3 : vector<2xf16>,
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%c0 : vector<2xf16>, %c1 : vector<2xf16>,
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%meta : i32) -> !llvm.struct<(vector<2xf16>, vector<2xf16>)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 32>} : (vector<2xf16>, vector<2xf16>, vector<2xf16>) -> !llvm.struct<(vector<2xf16>, vector<2xf16>)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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shape = #nvvm.shape<m = 16, n = 8, k = 32>}
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: (vector<2xf16>, vector<2xf16>, vector<2xf16>) -> !llvm.struct<(vector<2xf16>, vector<2xf16>)>
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return %0 : !llvm.struct<(vector<2xf16>, vector<2xf16>)>
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}
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k32_f16_f32
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func.func @nvvm_mma_sp_ordered_m16n8k32_f16_f32(
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%a0 : vector<2xf16>, %a1 : vector<2xf16>, %a2 : vector<2xf16>, %a3 : vector<2xf16>,
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%b0 : vector<2xf16>, %b1 : vector<2xf16>, %b2 : vector<2xf16>, %b3 : vector<2xf16>,
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%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
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%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 32>} : (vector<2xf16>, vector<2xf16>, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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shape = #nvvm.shape<m = 16, n = 8, k = 32>}
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: (vector<2xf16>, vector<2xf16>, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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return %0 : !llvm.struct<(f32, f32, f32, f32)>
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}
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// =============================================================================
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// BF16 Sparse MMA Operations with Ordered Metadata
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// =============================================================================
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k16_bf16_f32
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func.func @nvvm_mma_sp_ordered_m16n8k16_bf16_f32(
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%a0 : i32, %a1 : i32,
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%b0 : i32, %b1 : i32,
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%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
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%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {multiplicandAPtxType = #nvvm.mma_type<bf16>, multiplicandBPtxType = #nvvm.mma_type<bf16>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 16>} : (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<bf16>,
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multiplicandBPtxType = #nvvm.mma_type<bf16>,
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shape = #nvvm.shape<m = 16, n = 8, k = 16>}
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: (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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return %0 : !llvm.struct<(f32, f32, f32, f32)>
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}
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k32_bf16_f32
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func.func @nvvm_mma_sp_ordered_m16n8k32_bf16_f32(
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%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
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%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
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%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
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%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {multiplicandAPtxType = #nvvm.mma_type<bf16>, multiplicandBPtxType = #nvvm.mma_type<bf16>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 32>} : (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<bf16>,
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multiplicandBPtxType = #nvvm.mma_type<bf16>,
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shape = #nvvm.shape<m = 16, n = 8, k = 32>}
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: (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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return %0 : !llvm.struct<(f32, f32, f32, f32)>
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}
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// =============================================================================
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// TF32 Sparse MMA Operations with Ordered Metadata
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// =============================================================================
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k8_tf32_f32
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func.func @nvvm_mma_sp_ordered_m16n8k8_tf32_f32(
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%a0 : i32, %a1 : i32,
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%b0 : i32, %b1 : i32,
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%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
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%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {multiplicandAPtxType = #nvvm.mma_type<tf32>, multiplicandBPtxType = #nvvm.mma_type<tf32>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 8>} : (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<tf32>,
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multiplicandBPtxType = #nvvm.mma_type<tf32>,
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shape = #nvvm.shape<m = 16, n = 8, k = 8>}
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: (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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return %0 : !llvm.struct<(f32, f32, f32, f32)>
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}
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k16_tf32_f32
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func.func @nvvm_mma_sp_ordered_m16n8k16_tf32_f32(
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%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
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%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
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%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
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%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {multiplicandAPtxType = #nvvm.mma_type<tf32>, multiplicandBPtxType = #nvvm.mma_type<tf32>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 16>} : (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<tf32>,
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multiplicandBPtxType = #nvvm.mma_type<tf32>,
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shape = #nvvm.shape<m = 16, n = 8, k = 16>}
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: (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
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return %0 : !llvm.struct<(f32, f32, f32, f32)>
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}
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// =============================================================================
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// Integer (s8) Sparse MMA Operations with Ordered Metadata
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// =============================================================================
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k32_s8_s32
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func.func @nvvm_mma_sp_ordered_m16n8k32_s8_s32(
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%a0 : i32, %a1 : i32,
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%b0 : i32, %b1 : i32,
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%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
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%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<s8>, multiplicandBPtxType = #nvvm.mma_type<s8>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 32>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<s8>,
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multiplicandBPtxType = #nvvm.mma_type<s8>,
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intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
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shape = #nvvm.shape<m = 16, n = 8, k = 32>}
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: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
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return %0 : !llvm.struct<(i32, i32, i32, i32)>
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}
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k32_s8_s32_satfinite
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func.func @nvvm_mma_sp_ordered_m16n8k32_s8_s32_satfinite(
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%a0 : i32, %a1 : i32,
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%b0 : i32, %b1 : i32,
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%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
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%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<satfinite>, multiplicandAPtxType = #nvvm.mma_type<s8>, multiplicandBPtxType = #nvvm.mma_type<s8>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 32>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<s8>,
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multiplicandBPtxType = #nvvm.mma_type<s8>,
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intOverflowBehavior = #nvvm.mma_int_overflow<satfinite>,
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shape = #nvvm.shape<m = 16, n = 8, k = 32>}
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: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
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return %0 : !llvm.struct<(i32, i32, i32, i32)>
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}
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// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k64_s8_s32
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func.func @nvvm_mma_sp_ordered_m16n8k64_s8_s32(
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%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
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%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
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%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
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%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
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%sel = llvm.mlir.constant(0 : i32) : i32
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// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<s8>, multiplicandBPtxType = #nvvm.mma_type<s8>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 64>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
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%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
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sparseMetadata[%meta] selector[%sel]
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{orderedMetadata,
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multiplicandAPtxType = #nvvm.mma_type<s8>,
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multiplicandBPtxType = #nvvm.mma_type<s8>,
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intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
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shape = #nvvm.shape<m = 16, n = 8, k = 64>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// =============================================================================
|
|
// Integer (u8) Sparse MMA Operations with Ordered Metadata
|
|
// =============================================================================
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k32_u8_s32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k32_u8_s32(
|
|
%a0 : i32, %a1 : i32,
|
|
%b0 : i32, %b1 : i32,
|
|
%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
|
|
%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<u8>, multiplicandBPtxType = #nvvm.mma_type<u8>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 32>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<u8>,
|
|
multiplicandBPtxType = #nvvm.mma_type<u8>,
|
|
intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 32>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k64_u8_s32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k64_u8_s32(
|
|
%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
|
|
%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
|
|
%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
|
|
%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<u8>, multiplicandBPtxType = #nvvm.mma_type<u8>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 64>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<u8>,
|
|
multiplicandBPtxType = #nvvm.mma_type<u8>,
|
|
intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 64>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// =============================================================================
|
|
// Sub-byte Integer (s4) Sparse MMA Operations with Ordered Metadata
|
|
// =============================================================================
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k64_s4_s32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k64_s4_s32(
|
|
%a0 : i32, %a1 : i32,
|
|
%b0 : i32, %b1 : i32,
|
|
%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
|
|
%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<s4>, multiplicandBPtxType = #nvvm.mma_type<s4>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 64>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<s4>,
|
|
multiplicandBPtxType = #nvvm.mma_type<s4>,
|
|
intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 64>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k128_s4_s32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k128_s4_s32(
|
|
%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
|
|
%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
|
|
%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
|
|
%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<s4>, multiplicandBPtxType = #nvvm.mma_type<s4>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 128>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<s4>,
|
|
multiplicandBPtxType = #nvvm.mma_type<s4>,
|
|
intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 128>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// =============================================================================
|
|
// Sub-byte Integer (u4) Sparse MMA Operations with Ordered Metadata
|
|
// =============================================================================
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k64_u4_s32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k64_u4_s32(
|
|
%a0 : i32, %a1 : i32,
|
|
%b0 : i32, %b1 : i32,
|
|
%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
|
|
%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}] B[{{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<u4>, multiplicandBPtxType = #nvvm.mma_type<u4>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 64>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1] B[%b0, %b1] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<u4>,
|
|
multiplicandBPtxType = #nvvm.mma_type<u4>,
|
|
intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 64>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k128_u4_s32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k128_u4_s32(
|
|
%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
|
|
%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
|
|
%c0 : i32, %c1 : i32, %c2 : i32, %c3 : i32,
|
|
%meta : i32) -> !llvm.struct<(i32, i32, i32, i32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>, multiplicandAPtxType = #nvvm.mma_type<u4>, multiplicandBPtxType = #nvvm.mma_type<u4>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 128>} : (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<u4>,
|
|
multiplicandBPtxType = #nvvm.mma_type<u4>,
|
|
intOverflowBehavior = #nvvm.mma_int_overflow<wrapped>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 128>}
|
|
: (i32, i32, i32) -> !llvm.struct<(i32, i32, i32, i32)>
|
|
return %0 : !llvm.struct<(i32, i32, i32, i32)>
|
|
}
|
|
|
|
// =============================================================================
|
|
// FP8 (e4m3) Sparse MMA Operations with Ordered Metadata
|
|
// NOTE: FP8 ordered metadata requires PTX ISA 8.7+ and sm_90+
|
|
// =============================================================================
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k64_e4m3_f32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k64_e4m3_f32(
|
|
%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
|
|
%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
|
|
%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
|
|
%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {multiplicandAPtxType = #nvvm.mma_type<e4m3>, multiplicandBPtxType = #nvvm.mma_type<e4m3>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 64>} : (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<e4m3>,
|
|
multiplicandBPtxType = #nvvm.mma_type<e4m3>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 64>}
|
|
: (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
|
|
return %0 : !llvm.struct<(f32, f32, f32, f32)>
|
|
}
|
|
|
|
// =============================================================================
|
|
// FP8 (e5m2) Sparse MMA Operations with Ordered Metadata
|
|
// NOTE: FP8 ordered metadata requires PTX ISA 8.7+ and sm_90+
|
|
// =============================================================================
|
|
|
|
// CHECK-LABEL: @nvvm_mma_sp_ordered_m16n8k64_e5m2_f32
|
|
func.func @nvvm_mma_sp_ordered_m16n8k64_e5m2_f32(
|
|
%a0 : i32, %a1 : i32, %a2 : i32, %a3 : i32,
|
|
%b0 : i32, %b1 : i32, %b2 : i32, %b3 : i32,
|
|
%c0 : f32, %c1 : f32, %c2 : f32, %c3 : f32,
|
|
%meta : i32) -> !llvm.struct<(f32, f32, f32, f32)> {
|
|
%sel = llvm.mlir.constant(0 : i32) : i32
|
|
// CHECK: nvvm.mma.sp.sync A[{{.*}}, {{.*}}, {{.*}}, {{.*}}] B[{{.*}}, {{.*}}, {{.*}}, {{.*}}] C[{{.*}}, {{.*}}, {{.*}}, {{.*}}] sparseMetadata[{{.*}}] selector[{{.*}}] {multiplicandAPtxType = #nvvm.mma_type<e5m2>, multiplicandBPtxType = #nvvm.mma_type<e5m2>, orderedMetadata, shape = #nvvm.shape<m = 16, n = 8, k = 64>} : (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
|
|
%0 = nvvm.mma.sp.sync A[%a0, %a1, %a2, %a3] B[%b0, %b1, %b2, %b3] C[%c0, %c1, %c2, %c3]
|
|
sparseMetadata[%meta] selector[%sel]
|
|
{orderedMetadata,
|
|
multiplicandAPtxType = #nvvm.mma_type<e5m2>,
|
|
multiplicandBPtxType = #nvvm.mma_type<e5m2>,
|
|
shape = #nvvm.shape<m = 16, n = 8, k = 64>}
|
|
: (i32, i32, f32) -> !llvm.struct<(f32, f32, f32, f32)>
|
|
return %0 : !llvm.struct<(f32, f32, f32, f32)>
|
|
}
|