Files
clang-p2996/mlir/test/Dialect/Vector/linearize.mlir
Andrzej Warzyński e276dcec17 [mlir][arith] Refine the verifier for arith.constant (#87999)
Disallows initialization of scalable vectors with an attribute of
arbitrary values, e.g.:
```mlir
  %c = arith.constant dense<[0, 1]> : vector<[2] x i32>
```

Initialization using vector splats remains allowed (i.e. when all the
init values are identical):
```mlir
  %c = arith.constant dense<[1, 1]> : vector<[2] x i32>
```

Note: This is a re-upload of #86178
2024-04-08 21:22:00 +01:00

156 lines
7.4 KiB
MLIR

// RUN: mlir-opt %s -split-input-file -test-vector-linearize -verify-diagnostics | FileCheck %s --check-prefixes=ALL,DEFAULT
// RUN: mlir-opt %s -split-input-file -test-vector-linearize=target-vector-bitwidth=128 -verify-diagnostics | 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>
}
// -----
// ALL-LABEL: func.func @test_scalable_linearize(
// ALL-SAME: %[[ARG_0:.*]]: vector<2x[2]xf32>) -> vector<2x[2]xf32> {
func.func @test_scalable_linearize(%arg0: vector<2x[2]xf32>) -> vector<2x[2]xf32> {
// DEFAULT: %[[SC:.*]] = vector.shape_cast %[[ARG_0]] : vector<2x[2]xf32> to vector<[4]xf32>
// DEFAULT: %[[CST:.*]] = arith.constant dense<3.000000e+00> : vector<[4]xf32>
// BW-128: %[[SC:.*]] = vector.shape_cast %[[ARG_0]] : vector<2x[2]xf32> to vector<[4]xf32>
// BW-128: %[[CST:.*]] = arith.constant dense<3.000000e+00> : vector<[4]xf32>
// BW-0: %[[CST:.*]] = arith.constant dense<3.000000e+00> : vector<2x[2]xf32>
%0 = arith.constant dense<[[3., 3.], [3., 3.]]> : vector<2x[2]xf32>
// DEFAULT: %[[SIN:.*]] = math.sin %[[SC]] : vector<[4]xf32>
// BW-128: %[[SIN:.*]] = math.sin %[[SC]] : vector<[4]xf32>
// BW-0: %[[SIN:.*]] = math.sin %[[ARG_0]] : vector<2x[2]xf32>
%1 = math.sin %arg0 : vector<2x[2]xf32>
// DEFAULT: %[[ADDF:.*]] = arith.addf %[[SIN]], %[[CST]] : vector<[4]xf32>
// BW-128: %[[ADDF:.*]] = arith.addf %[[SIN]], %[[CST]] : vector<[4]xf32>
// BW-0: %[[RES:.*]] = arith.addf %[[CST]], %[[SIN]] : vector<2x[2]xf32>
%2 = arith.addf %0, %1 : vector<2x[2]xf32>
// DEFAULT: %[[RES:.*]] = vector.shape_cast %[[ADDF]] : vector<[4]xf32> to vector<2x[2]xf32>
// BW-128: %[[RES:.*]] = vector.shape_cast %[[ADDF]] : vector<[4]xf32> to vector<2x[2]xf32>
// ALL: return %[[RES]] : vector<2x[2]xf32>
return %2 : vector<2x[2]xf32>
}
// -----
// ALL-LABEL: func.func @test_scalable_no_linearize(
// ALL-SAME: %[[VAL_0:.*]]: vector<[2]x[2]xf32>) -> vector<[2]x[2]xf32> {
func.func @test_scalable_no_linearize(%arg0: vector<[2]x[2]xf32>) -> vector<[2]x[2]xf32> {
// ALL: %[[CST:.*]] = arith.constant dense<2.000000e+00> : vector<[2]x[2]xf32>
%0 = arith.constant dense<[[2., 2.], [2., 2.]]> : vector<[2]x[2]xf32>
// ALL: %[[SIN:.*]] = math.sin %[[VAL_0]] : vector<[2]x[2]xf32>
%1 = math.sin %arg0 : vector<[2]x[2]xf32>
// ALL: %[[RES:.*]] = arith.addf %[[CST]], %[[SIN]] : vector<[2]x[2]xf32>
%2 = arith.addf %0, %1 : vector<[2]x[2]xf32>
// ALL: return %[[RES]] : vector<[2]x[2]xf32>
return %2 : vector<[2]x[2]xf32>
}
// -----
// ALL-LABEL: func.func @test_0d_vector
func.func @test_0d_vector() -> vector<f32> {
// ALL: %[[CST:.+]] = arith.constant dense<0.000000e+00> : vector<f32>
%0 = arith.constant dense<0.0> : vector<f32>
// ALL: return %[[CST]]
return %0 : vector<f32>
}