34 lines
1.4 KiB
MLIR
34 lines
1.4 KiB
MLIR
// RUN: mlir-opt %s \
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// RUN: | mlir-opt -gpu-lower-to-nvvm-pipeline="cubin-format=%gpu_compilation_format" \
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// RUN: | mlir-cpu-runner \
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// RUN: --shared-libs=%mlir_cuda_runtime \
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// RUN: --shared-libs=%mlir_runner_utils \
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// RUN: --entry-point-result=void \
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// RUN: | FileCheck %s
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// CHECK: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
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func.func @main() {
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%arg = memref.alloc() : memref<13xi32>
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%dst = memref.cast %arg : memref<13xi32> to memref<?xi32>
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%one = arith.constant 1 : index
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%c0 = arith.constant 0 : index
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%sx = memref.dim %dst, %c0 : memref<?xi32>
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%cast_dst = memref.cast %dst : memref<?xi32> to memref<*xi32>
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gpu.host_register %cast_dst : memref<*xi32>
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gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %one, %grid_y = %one, %grid_z = %one)
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threads(%tx, %ty, %tz) in (%block_x = %sx, %block_y = %one, %block_z = %one) {
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%t0 = arith.index_cast %tx : index to i32
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memref.store %t0, %dst[%tx] : memref<?xi32>
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gpu.terminator
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}
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gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %one, %grid_y = %one, %grid_z = %one)
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threads(%tx, %ty, %tz) in (%block_x = %sx, %block_y = %one, %block_z = %one) {
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%t0 = arith.index_cast %tx : index to i32
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memref.store %t0, %dst[%tx] : memref<?xi32>
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gpu.terminator
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}
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call @printMemrefI32(%cast_dst) : (memref<*xi32>) -> ()
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return
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}
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func.func private @printMemrefI32(%memref : memref<*xi32>)
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