78 lines
2.9 KiB
MLIR
78 lines
2.9 KiB
MLIR
// RUN: mlir-opt %s \
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// RUN: | mlir-opt -gpu-kernel-outlining \
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// RUN: | mlir-opt -pass-pipeline='builtin.module(gpu.module(strip-debuginfo,convert-gpu-to-nvvm,gpu-to-cubin))' \
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// RUN: | mlir-opt -gpu-to-llvm \
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// RUN: | mlir-cpu-runner \
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// RUN: --shared-libs=%mlir_lib_dir/libmlir_cuda_runtime%shlibext \
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// RUN: --shared-libs=%mlir_lib_dir/libmlir_runner_utils%shlibext \
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// RUN: --entry-point-result=void \
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// RUN: | FileCheck %s
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func.func @main() {
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%data = memref.alloc() : memref<2x6xf32>
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%sum = memref.alloc() : memref<2xf32>
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%mul = memref.alloc() : memref<2xf32>
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%cst0 = arith.constant 0.0 : f32
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%cst1 = arith.constant 1.0 : f32
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%cst2 = arith.constant 2.0 : f32
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%cst4 = arith.constant 4.0 : f32
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%cst8 = arith.constant 8.0 : f32
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%cst16 = arith.constant 16.0 : f32
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%cst3 = arith.constant 3.0 : f32
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%cst6 = arith.constant 6.0 : f32
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%cst7 = arith.constant 7.0 : f32
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%cst10 = arith.constant 10.0 : f32
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%cst11 = arith.constant 11.0 : f32
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%c0 = arith.constant 0 : index
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%c1 = arith.constant 1 : index
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%c2 = arith.constant 2 : index
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%c3 = arith.constant 3 : index
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%c4 = arith.constant 4 : index
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%c5 = arith.constant 5 : index
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%c6 = arith.constant 6 : index
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%cast_data = memref.cast %data : memref<2x6xf32> to memref<*xf32>
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gpu.host_register %cast_data : memref<*xf32>
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%cast_sum = memref.cast %sum : memref<2xf32> to memref<*xf32>
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gpu.host_register %cast_sum : memref<*xf32>
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%cast_mul = memref.cast %mul : memref<2xf32> to memref<*xf32>
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gpu.host_register %cast_mul : memref<*xf32>
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memref.store %cst0, %data[%c0, %c0] : memref<2x6xf32>
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memref.store %cst1, %data[%c0, %c1] : memref<2x6xf32>
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memref.store %cst2, %data[%c0, %c2] : memref<2x6xf32>
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memref.store %cst4, %data[%c0, %c3] : memref<2x6xf32>
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memref.store %cst8, %data[%c0, %c4] : memref<2x6xf32>
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memref.store %cst16, %data[%c0, %c5] : memref<2x6xf32>
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memref.store %cst2, %data[%c1, %c0] : memref<2x6xf32>
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memref.store %cst3, %data[%c1, %c1] : memref<2x6xf32>
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memref.store %cst6, %data[%c1, %c2] : memref<2x6xf32>
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memref.store %cst7, %data[%c1, %c3] : memref<2x6xf32>
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memref.store %cst10, %data[%c1, %c4] : memref<2x6xf32>
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memref.store %cst11, %data[%c1, %c5] : memref<2x6xf32>
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// ADD + MUL
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gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %c2, %grid_y = %c1, %grid_z = %c1)
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threads(%tx, %ty, %tz) in (%block_x = %c6, %block_y = %c1, %block_z = %c1) {
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%val = memref.load %data[%bx, %tx] : memref<2x6xf32>
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%reduced0 = gpu.all_reduce add %val {} : (f32) -> (f32)
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memref.store %reduced0, %sum[%bx] : memref<2xf32>
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%reduced1 = gpu.all_reduce mul %val {} : (f32) -> (f32)
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memref.store %reduced1, %mul[%bx] : memref<2xf32>
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gpu.terminator
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}
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call @printMemrefF32(%cast_sum) : (memref<*xf32>) -> ()
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// CHECK: [31, 39]
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call @printMemrefF32(%cast_mul) : (memref<*xf32>) -> ()
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// CHECK: [0, 27720]
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return
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}
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func.func private @printMemrefF32(memref<*xf32>)
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