| // RUN: mlir-opt %s -split-input-file -test-vector-linearize | FileCheck %s --check-prefixes=ALL,DEFAULT |
| // RUN: mlir-opt %s -split-input-file -test-vector-linearize=target-vector-bitwidth=128 | FileCheck %s --check-prefixes=ALL,BW-128 |
| // RUN: mlir-opt %s -split-input-file -test-vector-linearize=target-vector-bitwidth=0 | FileCheck %s --check-prefixes=ALL,BW-0 |
| |
| // ALL-LABEL: test_linearize |
| // ALL-SAME: (%[[ORIG_ARG:.*]]: vector<2x2xf32>) |
| func.func @test_linearize(%arg0: vector<2x2xf32>) -> vector<2x2xf32> { |
| // DEFAULT: %[[ARG:.*]] = vector.shape_cast %[[ORIG_ARG]] : vector<2x2xf32> to vector<4xf32> |
| // DEFAULT: %[[CST:.*]] = arith.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : vector<4xf32> |
| // DEFAULT: %[[RES:.*]] = vector.shape_cast %[[CST]] : vector<4xf32> to vector<2x2xf32> |
| |
| // BW-128: %[[ARG:.*]] = vector.shape_cast %[[ORIG_ARG]] : vector<2x2xf32> to vector<4xf32> |
| // BW-128: %[[CST:.*]] = arith.constant dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : vector<4xf32> |
| // BW-128: %[[RES:.*]] = vector.shape_cast %[[CST]] : vector<4xf32> to vector<2x2xf32> |
| |
| // BW-0: %[[RES:.*]] = arith.constant dense<{{.*}}> : vector<2x2xf32> |
| %0 = arith.constant dense<[[1.0, 2.0], [3.0, 4.0]]> : vector<2x2xf32> |
| |
| // DEFAULT: %{{.*}} = math.sin %[[ARG]] : vector<4xf32> |
| // BW-128: %{{.*}} = math.sin %[[ARG]] : vector<4xf32> |
| // BW-0: %{{.*}} = math.sin %{{.*}} : vector<2x2xf32> |
| %1 = math.sin %arg0 : vector<2x2xf32> |
| |
| // DEFAULT: %{{.*}} = arith.addf %[[ARG]], %[[CST]] : vector<4xf32> |
| // BW-128: %{{.*}} = arith.addf %[[ARG]], %[[CST]] : vector<4xf32> |
| // BW-0: %{{.*}} = arith.addf %{{.*}} : vector<2x2xf32> |
| %2 = arith.addf %arg0, %0 : vector<2x2xf32> |
| |
| // ALL: return %[[RES]] : vector<2x2xf32> |
| return %0 : vector<2x2xf32> |
| } |
| |
| // ----- |
| |
| // ALL-LABEL: test_partial_linearize |
| // ALL-SAME: (%[[ORIG_ARG:.*]]: vector<2x2xf32>, %[[ORIG_ARG2:.*]]: vector<4x4xf32>) |
| func.func @test_partial_linearize(%arg0: vector<2x2xf32>, %arg1: vector<4x4xf32>) -> vector<2x2xf32> { |
| // DEFAULT: %[[ARG:.*]] = vector.shape_cast %[[ORIG_ARG]] : vector<2x2xf32> to vector<4xf32> |
| // DEFAULT: %[[ARG2:.*]] = vector.shape_cast %[[ORIG_ARG2]] : vector<4x4xf32> to vector<16xf32> |
| // DEFAULT: %[[CST:.*]] = arith.constant dense<{{.*}}> : vector<4xf32> |
| // DEFAULT: %[[RES:.*]] = vector.shape_cast %[[CST]] : vector<4xf32> to vector<2x2xf32> |
| |
| // BW-128: %[[ARG:.*]] = vector.shape_cast %[[ORIG_ARG]] : vector<2x2xf32> to vector<4xf32> |
| // BW-128: %[[CST:.*]] = arith.constant dense<{{.*}}> : vector<4xf32> |
| // BW-128: %[[RES:.*]] = vector.shape_cast %[[CST]] : vector<4xf32> to vector<2x2xf32> |
| |
| // BW-0: %[[RES:.*]] = arith.constant dense<{{.*}}> : vector<2x2xf32> |
| %0 = arith.constant dense<[[1.0, 2.0], [3.0, 4.0]]> : vector<2x2xf32> |
| |
| // DEFAULT: %[[C2:.*]] = arith.constant dense<{{.*}}> : vector<16xf32> |
| // BW-128: %[[C2:.*]] = arith.constant dense<{{.*}}> : vector<4x4xf32> |
| // BW-0: %[[C2:.*]] = arith.constant dense<{{.*}}> : vector<4x4xf32> |
| %5 = arith.constant dense<[[1.0, 2.0, 3.0, 4.0], [1.0, 2.0,3.0, 4.0], [1.0, 2.0, 3.0, 4.0], [1.0, 2.0, 5.0, 6.0]]> : vector<4x4xf32> |
| |
| // Arith and math ops are handled in generic way, check some of them |
| // DEFAULT: %[[SIN:.*]] = math.sin %[[ARG]] : vector<4xf32> |
| // BW-128: %[[SIN:.*]] = math.sin %[[ARG]] : vector<4xf32> |
| // BW-0: %[[SIN:.*]] = math.sin %[[ORIG_ARG]] : vector<2x2xf32> |
| %1 = math.sin %arg0 : vector<2x2xf32> |
| |
| // DEFAULT: %[[SIN1:.*]] = math.sin %[[ARG2]] : vector<16xf32> |
| // BW-128: %[[SIN1:.*]] = math.sin %[[ORIG_ARG2]] : vector<4x4xf32> |
| // BW-0: %[[SIN1:.*]] = math.sin %[[ORIG_ARG2]] : vector<4x4xf32> |
| %6 = math.sin %arg1 : vector<4x4xf32> |
| |
| // DEFAULT: %{{.*}} = arith.addf %[[ARG]], %[[CST]] : vector<4xf32> |
| // BW-128: %{{.*}} = arith.addf %[[ARG]], %[[CST]] : vector<4xf32> |
| // BW-0: %{{.*}} = arith.addf %{{.*}} : vector<2x2xf32> |
| %2 = arith.addf %arg0, %0 : vector<2x2xf32> |
| |
| // DEFAULT: %[[ADD2:.*]] = arith.addf %[[ARG2]], %[[C2]] : vector<16xf32> |
| // BW-128: %[[ADD2:.*]] = arith.addf %[[ORIG_ARG2]], %[[C2]] : vector<4x4xf32> |
| // BW-0: %[[ADD2:.*]] = arith.addf %[[ORIG_ARG2]], %[[C2]] : vector<4x4xf32> |
| %7 = arith.addf %arg1, %5 : vector<4x4xf32> |
| |
| // ALL: return %[[RES]] : vector<2x2xf32> |
| return %0 : vector<2x2xf32> |
| } |
| |
| // ----- |
| |
| // ALL-LABEL: test_index_no_linearize |
| func.func @test_index_no_linearize(%arg0: vector<2x2xindex>, %arg1: vector<2x2xindex>) -> vector<2x2xindex> { |
| // ALL: %[[ADD:.*]] = arith.addi {{.*}} : vector<2x2xindex> |
| %0 = arith.addi %arg0, %arg1 : vector<2x2xindex> |
| return %0 : vector<2x2xindex> |
| } |
| |
| // ----- |
| |
| // vectorizable operation (arith.mulf) with tensor result types. |
| |
| // ALL-LABEL: test_tensor_no_linearize |
| func.func @test_tensor_no_linearize(%arg0: tensor<2x2xf32>, %arg1: tensor<2x2xf32>) -> (tensor<2x2xf32>, tensor<2x2xf32>) { |
| // ALL: %[[MULF:.*]] = arith.mulf %arg0, %arg1 : tensor<2x2xf32> |
| %0 = arith.mulf %arg0, %arg1 : tensor<2x2xf32> |
| |
| return %0, %arg0 : tensor<2x2xf32>, tensor<2x2xf32> |
| } |