31 lines
1.5 KiB
MLIR
31 lines
1.5 KiB
MLIR
// RUN: mlir-opt %s --gpu-to-llvm | FileCheck %s
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module attributes {gpu.container_module} {
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// CHECK-LABEL: func @matmul
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// CHECK: llvm.call @mgpuStreamCreate
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// CHECK: llvm.call @mgpuMemAlloc
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// CHECK: llvm.call @mgpuMemAlloc
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// CHECK: llvm.call @mgpuCusparseLtCreate2To4SpMat
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// CHECK: llvm.call @mgpuCreateCuSparseLtDnMat
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// CHECK: llvm.call @mgpuCuSparseLtSpMMBufferSize
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// CHECK: llvm.call @mgpuCuSparseLtSpMM
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// CHECK: llvm.call @mgpuDestroyCuSparseLtSpMat
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// CHECK: llvm.call @mgpuDestroyCuSparseLtDnMat
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// CHECK: llvm.call @mgpuStreamSynchronize
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// CHECK: llvm.call @mgpuStreamDestroy
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func.func @matmul(%arg0: index) {
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%token0 = gpu.wait async
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%mem1, %token1 = gpu.alloc async [%token0] (%arg0) : memref<?xf16>
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%mem2, %token2 = gpu.alloc async [%token1] (%arg0) : memref<?xf16>
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%spmat, %token4 = gpu.create_2to4_spmat async [%token2] {PRUNE_AND_CHECK} %arg0, %arg0, %mem1: memref<?xf16>
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%dnmat, %token5 = gpu.create_dn_tensor async [%token4] %mem2, %arg0, %arg0 : index, index into memref<?xf16>
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%bufferSz0, %bufferSz1, %bufferSz2, %token6 = gpu.spmm_buffer_size async [%token5] %spmat, %dnmat, %dnmat : index,index,index into f16
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%token7 = gpu.spmm async [%token6] %spmat, %dnmat, %dnmat, %mem2, %mem2, %mem2 : memref<?xf16>,memref<?xf16>,memref<?xf16> into f16
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%token8 = gpu.destroy_sp_mat async [%token7] %spmat
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%token9 = gpu.destroy_dn_tensor async [%token8] %dnmat
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gpu.wait [%token9]
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return
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}
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}
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