| // R-UN: iree-run-mlir --iree-hal-target-backends=llvm-cpu \ |
| /// Specify the dispatch region formation with the transform dialect. |
| // R-UN: --iree-flow-dispatch-use-transform-dialect=%p/transform_dialect_dispatch_spec.mlir \ |
| /// Specify the codegen strategy with the transform dialect. |
| // R-UN: --iree-codegen-llvmcpu-use-transform-dialect=%p/transform_dialect_codegen_spec.mlir \ |
| // R-UN: %s | FileCheck %s |
| |
| |
| // RUN: iree-opt %s \ |
| // RUN: --iree-abi-transformation-pipeline \ |
| // RUN: --iree-flow-transformation-pipeline \ |
| // RUN: --iree-flow-dispatch-use-transform-dialect=%p/transform_dialect_dispatch_spec.mlir |
| |
| func.func @matmul_static() -> tensor<5x5xf32> { |
| %res = flow.tensor.constant dense<[ |
| [0.0, 0.0, 0.0, 0.0, 0.0], |
| [0.0, 0.0, 0.0, 0.0, 0.0], |
| [0.0, 0.0, 0.0, 0.0, 0.0], |
| [0.0, 0.0, 0.0, 0.0, 0.0], |
| [0.0, 0.0, 0.0, 0.0, 0.0]]> : tensor<5x5xf32> -> tensor<5x5xf32> |
| %lhs = flow.tensor.constant dense<[ |
| [15.0, 14.0, 13.0], |
| [12.0, 11.0, 10.0], |
| [09.0, 08.0, 07.0], |
| [06.0, 05.0, 04.0], |
| [03.0, 02.0, 01.0]]> : tensor<5x3xf32> -> tensor<5x3xf32> |
| %rhs = flow.tensor.constant dense<[ |
| [15.0, 14.0, 13.0, 12.0, 11.0], |
| [10.0, 09.0, 08.0, 07.0, 06.0], |
| [05.0, 04.0, 03.0, 02.0, 01.0]]> : tensor<3x5xf32> -> tensor<3x5xf32> |
| |
| %matmul = linalg.matmul |
| ins(%lhs, %rhs : tensor<5x3xf32>, tensor<3x5xf32>) |
| outs(%res : tensor<5x5xf32>) -> tensor<5x5xf32> |
| %matmul_res = util.optimization_barrier %matmul : tensor<5x5xf32> |
| |
| return %matmul_res : tensor<5x5xf32> |
| } |
| |
| // CHECK: 5x5xf32= |
| // CHECK-SAME: [430 388 346 304 262] |
| // CHECK-SAME: [340 307 274 241 208] |
| // CHECK-SAME: [250 226 202 178 154] |
| // CHECK-SAME: [160 145 130 115 100] |
| // CHECK-SAME: [70 64 58 52 46] |
