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// RUN: mlir-opt %s \
// RUN: | mlir-opt -gpu-kernel-outlining \
// RUN: | mlir-opt -pass-pipeline='builtin.module(gpu.module(strip-debuginfo,convert-gpu-to-nvvm,gpu-to-cubin))' \
// RUN: | mlir-opt -gpu-to-llvm \
// RUN: | mlir-cpu-runner \
// RUN: --shared-libs=%mlir_cuda_runtime \
// RUN: --shared-libs=%mlir_runner_utils \
// RUN: --entry-point-result=void \
// RUN: | FileCheck %s
// CHECK: [4, 5, 6, 7, 0, 1, 2, 3, 12, -1, -1, -1, 8]
func.func @main() {
%arg = memref.alloc() : memref<13xf32>
%dst = memref.cast %arg : memref<13xf32> to memref<?xf32>
%one = arith.constant 1 : index
%c0 = arith.constant 0 : index
%sx = memref.dim %dst, %c0 : memref<?xf32>
%cast_dst = memref.cast %dst : memref<?xf32> to memref<*xf32>
gpu.host_register %cast_dst : memref<*xf32>
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %one, %grid_y = %one, %grid_z = %one)
threads(%tx, %ty, %tz) in (%block_x = %sx, %block_y = %one, %block_z = %one) {
%t0 = arith.index_cast %tx : index to i32
%val = arith.sitofp %t0 : i32 to f32
%width = arith.index_cast %block_x : index to i32
%offset = arith.constant 4 : i32
%shfl, %valid = gpu.shuffle xor %val, %offset, %width : f32
cf.cond_br %valid, ^bb1(%shfl : f32), ^bb0
^bb0:
%m1 = arith.constant -1.0 : f32
cf.br ^bb1(%m1 : f32)
^bb1(%value : f32):
memref.store %value, %dst[%tx] : memref<?xf32>
gpu.terminator
}
call @printMemrefF32(%cast_dst) : (memref<*xf32>) -> ()
return
}
func.func private @printMemrefF32(%ptr : memref<*xf32>)
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