| !in_tensor_t = tensor<32x256xf32> |
| !out_tensor_t = tensor<32xf32> |
| |
| 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 = tensor.empty() : !in_tensor_t |
| %3 = linalg.generic { |
| indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, |
| affine_map<(d0, d1) -> (d0, d1)>], |
| iterator_types = ["parallel", "parallel"]} |
| ins(%arg : !in_tensor_t) outs(%2 : !in_tensor_t) { |
| ^bb0(%arg3: f32, %arg4: f32): |
| %4 = arith.addf %arg3, %arg3 : f32 |
| %5 = arith.addf %4, %4 : f32 |
| linalg.yield %5 : f32 |
| } -> !in_tensor_t |
| |
| %6 = linalg.generic { |
| indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, |
| affine_map<(d0, d1) -> (d0)>], |
| iterator_types = ["parallel", "reduction"]} |
| ins(%3 : !in_tensor_t) outs(%1 : !out_tensor_t) { |
| ^bb0(%arg3: f32, %arg4: f32): |
| %4 = arith.addf %arg3, %arg4 : f32 |
| linalg.yield %4 : f32 |
| } -> !out_tensor_t |
| |
| %7 = tensor.empty() : !out_tensor_t |
| %8 = linalg.generic { |
| indexing_maps = [affine_map<(d0) -> (d0)>, |
| affine_map<(d0) -> (d0)>], |
| iterator_types = ["parallel"]} |
| ins(%6 : !out_tensor_t) outs(%7 : !out_tensor_t) { |
| ^bb0(%arg3: f32, %arg4: f32): |
| %4 = math.sqrt %arg3 : f32 |
| linalg.yield %4 : f32 |
| } -> !out_tensor_t |
| |
| |
| return %8 : !out_tensor_t |
| } |
| |
| // RUN: iree-compile %s --iree-hal-target-backends=llvm-cpu \ |
| // RUN: --iree-opt-data-tiling=false \ |
| // RUN: --compile-to=executable-configurations | \ |
| // RUN: iree-opt --pass-pipeline='builtin.module(hal.executable(hal.executable.variant(iree-codegen-materialize-user-configs,iree-llvmcpu-select-lowering-strategy,iree-llvmcpu-lower-executable-target)))' \ |
| // RUN: --iree-llvmcpu-enable-transform-dialect-jit | \ |
| // RUN: FileCheck %s |
| |
| // RUN: iree-compile %s --iree-hal-target-backends=llvm-cpu \ |
| // RUN: --iree-opt-data-tiling=false \ |
| // RUN: --iree-llvmcpu-enable-transform-dialect-jit | \ |
| // RUN: iree-run-module --module=- --function=reduce --device=local-task --input="32x256xf32=1" | \ |
| // RUN: FileCheck %s --check-prefix=EXEC |
| |
| // CHECK-DAG: %[[C0:.*]] = arith.constant 0 : index |
| // CHECK-DAG: %[[C1:.*]] = arith.constant 1 : index |
| // CHECK-DAG: %[[workgroup_id_x:.*]] = hal.interface.workgroup.id[0] : index |
| // CHECK: scf.for %{{.*}} = %{{.*}} to %{{.*}} step %{{.*}} -> (vector<8xf32>) { |
| // CHECK: arith.addf %{{.*}} : vector<8x16xf32> |
| // CHECK-COUNT-16: vector.extract %{{.*}} : vector<8xf32> from vector<16x8xf32>{{[[:space:]].*}}arith.addf %{{.*}} : vector<8xf32> |
| // CHECK: scf.yield %{{.*}} : vector<8xf32> |
| // CHECK: } |
| // CHECK: math.sqrt %{{.*}} : vector<8xf32> |
| // CHECK: vector.store %{{.*}} : memref<8xf32, strided<[1], offset: ?>, #hal.descriptor_type<storage_buffer>>, vector<8xf32> |
| |
| // EXEC: result[0]: hal.buffer_view |
| // EXEC-NEXT: 32xf32=32 32 32 32 32 32 32 32 |
