llvm-toolchain-10/mlir/test/mlir-cuda-runner/gpu-to-cubin.mlir

30 lines
1.2 KiB
MLIR

// RUN: mlir-cuda-runner %s --shared-libs=%cuda_wrapper_library_dir/libcuda-runtime-wrappers%shlibext,%linalg_test_lib_dir/libmlir_runner_utils%shlibext --entry-point-result=void | FileCheck %s
func @other_func(%arg0 : f32, %arg1 : memref<?xf32>) {
%cst = constant 1 : index
%cst2 = dim %arg1, 0 : memref<?xf32>
gpu.launch blocks(%bx, %by, %bz) in (%grid_x = %cst, %grid_y = %cst, %grid_z = %cst)
threads(%tx, %ty, %tz) in (%block_x = %cst2, %block_y = %cst, %block_z = %cst)
args(%kernel_arg0 = %arg0, %kernel_arg1 = %arg1) : f32, memref<?xf32> {
store %kernel_arg0, %kernel_arg1[%tx] : memref<?xf32>
gpu.return
}
return
}
// CHECK: [1, 1, 1, 1, 1]
func @main() {
%arg0 = alloc() : memref<5xf32>
%21 = constant 5 : i32
%22 = memref_cast %arg0 : memref<5xf32> to memref<?xf32>
call @mcuMemHostRegisterMemRef1dFloat(%22) : (memref<?xf32>) -> ()
call @print_memref_1d_f32(%22) : (memref<?xf32>) -> ()
%24 = constant 1.0 : f32
call @other_func(%24, %22) : (f32, memref<?xf32>) -> ()
call @print_memref_1d_f32(%22) : (memref<?xf32>) -> ()
return
}
func @mcuMemHostRegisterMemRef1dFloat(%ptr : memref<?xf32>)
func @print_memref_1d_f32(memref<?xf32>)