| !in_tensor_t = tensor<33x1024xf32> |
| !out_tensor_t = tensor<33xf32> |
| |
| func.func @reduce(%arg : !in_tensor_t) -> (!out_tensor_t) { |
| %cst = arith.constant -0.000000e+00 : f32 |
| |
| %0 = tensor.empty() : !out_tensor_t |
| %1 = linalg.fill ins(%cst : f32) outs(%0 : !out_tensor_t) -> !out_tensor_t |
| %2 = linalg.generic { |
| indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, |
| affine_map<(d0, d1) -> (d0)>], |
| iterator_types = ["parallel", "reduction"]} |
| ins(%arg : !in_tensor_t) outs(%1 : !out_tensor_t) { |
| ^bb0(%arg3: f32, %arg4: f32): |
| %3 = arith.addf %arg3, %arg4 : f32 |
| linalg.yield %3 : f32 |
| } -> !out_tensor_t |
| return %2 : !out_tensor_t |
| } |
| |
| // RUN: iree-compile %s --iree-hal-target-backends=cuda \ |
| // RUN: --iree-codegen-llvmgpu-enable-transform-dialect-jit=false \ |
| // RUN: --iree-codegen-transform-dialect-library=%p/reduction_v2_codegen_spec.mlir@codegen | \ |
| // RUN: iree-run-module --module=- --function=reduce --device=cuda --input="33x1024xf32=1" |\ |
| // RUN: FileCheck %s --check-prefix=EXEC |
| |
| // RUN: iree-compile %s --iree-hal-target-backends=cuda | \ |
| // RUN: iree-run-module --module=- --function=reduce --device=cuda --input="33x1024xf32=1" |\ |
| // RUN: FileCheck %s --check-prefix=EXEC |
| |
| // only checking the first 6 of 33 |
| // EXEC: result[0]: hal.buffer_view |
| // EXEC-NEXT: 33xf32=1024 1024 1024 1024 1024 1024 |
