canonicalize.mlir
9.01 KB
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// RUN: mlir-opt %s -canonicalize -split-input-file | FileCheck %s
// CHECK-LABEL: func @memref_cast(
func @memref_cast(%a: index, %b: index) -> memref<?x?xf32> {
%c0 = constant 0 : index
%c1 = constant 1 : index
%c8 = constant 8 : index
%c16 = constant 16 : index
%1 = alloc (%b) : memref<?xi8>
%2 = view %1[%c0][] : memref<?xi8> to memref<16x16xf32>
%3 = memref_cast %2 : memref<16x16xf32> to memref<?x?xf32>
%r0 = linalg.range %c0:%c8:%c1 : !linalg.range
// CHECK: linalg.slice {{.*}} : memref<16x16xf32>, !linalg.range, !linalg.range, memref<?x?xf32>
%4 = linalg.slice %3[%r0, %r0] : memref<?x?xf32>, !linalg.range, !linalg.range, memref<?x?xf32>
// CHECK: linalg.matmul ins({{.*}}memref<16x16xf32>, memref<16x16xf32>) outs({{.*}}memref<16x16xf32>)
linalg.matmul ins(%3, %3: memref<?x?xf32>, memref<?x?xf32>)
outs(%3: memref<?x?xf32>)
return %4: memref<?x?xf32>
}
// -----
func @collapsing_tensor_reshapes(%arg0 : tensor<?x?x?x?x?xf32>) -> tensor<?x?xf32>
{
%0 = linalg.tensor_reshape %arg0
[affine_map<(d0, d1, d2, d3, d4) -> (d0, d1)>,
affine_map<(d0, d1, d2, d3, d4) -> (d2)>,
affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>] :
tensor<?x?x?x?x?xf32> into tensor<?x?x?xf32>
%1 = linalg.tensor_reshape %0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
tensor<?x?x?xf32> into tensor<?x?xf32>
return %1 : tensor<?x?xf32>
}
// CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2)>
// CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>
// CHECK-LABEL: collapsing_tensor_reshapes
// CHECK: linalg.tensor_reshape %{{.*}} [#[[$MAP0]], #[[$MAP1]]]
// CHECK-NOT: linalg.tensor_reshape
// -----
func @expanding_tensor_reshapes(%arg0 : tensor<?x?xf32>) -> tensor<?x?x?x?x?xf32>
{
%0 = linalg.tensor_reshape %arg0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
tensor<?x?xf32> into tensor<?x?x?xf32>
%1 = linalg.tensor_reshape %0
[affine_map<(d0, d1, d2, d3, d4) -> (d0, d1)>,
affine_map<(d0, d1, d2, d3, d4) -> (d2)>,
affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>] :
tensor<?x?x?xf32> into tensor<?x?x?x?x?xf32>
return %1 : tensor<?x?x?x?x?xf32>
}
// CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2)>
// CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>
// CHECK-LABEL: expanding_tensor_reshapes
// CHECK: linalg.tensor_reshape %{{.*}} [#[[$MAP0]], #[[$MAP1]]]
// CHECK-NOT: linalg.tensor_reshape
// -----
func @collapsing_memref_reshapes(%arg0 : memref<?x?x?x?x?xf32>) -> memref<?x?xf32>
{
%0 = linalg.reshape %arg0
[affine_map<(d0, d1, d2, d3, d4) -> (d0, d1)>,
affine_map<(d0, d1, d2, d3, d4) -> (d2)>,
affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>] :
memref<?x?x?x?x?xf32> into memref<?x?x?xf32>
%1 = linalg.reshape %0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
memref<?x?x?xf32> into memref<?x?xf32>
return %1 : memref<?x?xf32>
}
// CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2)>
// CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>
// CHECK-LABEL: collapsing_memref_reshapes
// CHECK: linalg.reshape %{{.*}} [#[[$MAP0]], #[[$MAP1]]]
// CHECK-NOT: linalg.reshape
// -----
func @expanding_memref_reshapes(%arg0 : memref<?x?xf32>) -> memref<?x?x?x?x?xf32>
{
%0 = linalg.reshape %arg0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
memref<?x?xf32> into memref<?x?x?xf32>
%1 = linalg.reshape %0
[affine_map<(d0, d1, d2, d3, d4) -> (d0, d1)>,
affine_map<(d0, d1, d2, d3, d4) -> (d2)>,
affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>] :
memref<?x?x?xf32> into memref<?x?x?x?x?xf32>
return %1 : memref<?x?x?x?x?xf32>
}
// CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d0, d1, d2)>
// CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0, d1, d2, d3, d4) -> (d3, d4)>
// CHECK-LABEL: expanding_memref_reshapes
// CHECK: linalg.reshape %{{.*}} [#[[$MAP0]], #[[$MAP1]]]
// CHECK-NOT: linalg.reshape
// -----
func @fold_tensor_reshape(%arg0 : tensor<12x4xf32>) -> tensor<12x4xf32>
{
%0 = linalg.tensor_reshape %arg0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
tensor<12x4xf32> into tensor<3x4x4xf32>
%1 = linalg.tensor_reshape %0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
tensor<3x4x4xf32> into tensor<12x4xf32>
return %1 : tensor<12x4xf32>
}
// CHECK-LABEL: @fold_tensor_reshape
// CHECK-NOT: linalg.tensor_reshape
// -----
func @no_fold_tensor_reshape(%arg0 : tensor<?x?xf32>) -> tensor<?x?xf32>
{
%0 = linalg.tensor_reshape %arg0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
tensor<?x?xf32> into tensor<?x?x?xf32>
%1 = linalg.tensor_reshape %0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
tensor<?x?x?xf32> into tensor<?x?xf32>
return %1 : tensor<?x?xf32>
}
// CHECK-LABEL: @no_fold_tensor_reshape
// CHECK: linalg.tensor_reshape
// CHECK: linalg.tensor_reshape
// -----
func @fold_memref_reshape(%arg0 : memref<12x4xf32>) -> memref<12x4xf32>
{
%0 = linalg.reshape %arg0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
memref<12x4xf32> into memref<3x4x4xf32>
%1 = linalg.reshape %0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
memref<3x4x4xf32> into memref<12x4xf32>
return %1 : memref<12x4xf32>
}
// CHECK-LABEL: @fold_memref_reshape
// CHECK-NOT: linalg.reshape
// -----
func @no_fold_memref_reshape(%arg0 : memref<?x?xf32>) -> memref<?x?xf32>
{
%0 = linalg.reshape %arg0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
memref<?x?xf32> into memref<?x?x?xf32>
%1 = linalg.reshape %0
[affine_map<(d0, d1, d2) -> (d0, d1)>,
affine_map<(d0, d1, d2) -> (d2)>] :
memref<?x?x?xf32> into memref<?x?xf32>
return %1 : memref<?x?xf32>
}
// CHECK-LABEL: @no_fold_memref_reshape
// CHECK: linalg.reshape
// CHECK: linalg.reshape
// -----
#accesses = [
affine_map<(i) -> (i)>,
affine_map<(i) -> (i)>
]
#trait = {
indexing_maps = #accesses,
iterator_types = ["parallel"]
}
func @dce_zero_memref(%arg0 : memref<0xf32>, %arg1: tensor<0xf32>) -> tensor<0xf32> {
// memref<0x32> is expected to be dce'ed
linalg.copy(%arg0, %arg0): memref<0xf32>, memref<0xf32>
// tensor<0xf32> cannot be dce'ed
%1 = linalg.generic #trait ins(%arg1 : tensor<0xf32>) {
^bb(%0: f32) :
linalg.yield %0 : f32
} -> tensor<0xf32>
return %1: tensor<0xf32>
}
// CHECK-LABEL: @dce_zero_memref
// CHECK-NOT: linalg.copy
// CHECK-NEXT: linalg.generic
// -----
func @reshape_splat_constant_int32() -> tensor<2x4x2xi32>
{
%c0 = constant dense<42> : tensor<2x8xi32>
%0 = linalg.tensor_reshape %c0
[affine_map<(d0, d1, d2) -> (d0)>,
affine_map<(d0, d1, d2) -> (d1, d2)>]
: tensor<2x8xi32> into tensor<2x4x2xi32>
return %0 : tensor<2x4x2xi32>
}
// CHECK-LABEL: @reshape_splat_constant_int32
// CHECK: %[[CST:.*]] = constant dense<{{.*}}> : tensor<2x4x2xi32>
// CHECK-NOT: linalg.tensor_reshape
// CHECK: return %[[CST]]
func @reshape_splat_constant_int16() -> tensor<2x4x2xi16>
{
%c0 = constant dense<42> : tensor<2x8xi16>
%0 = linalg.tensor_reshape %c0
[affine_map<(d0, d1, d2) -> (d0)>,
affine_map<(d0, d1, d2) -> (d1, d2)>]
: tensor<2x8xi16> into tensor<2x4x2xi16>
return %0 : tensor<2x4x2xi16>
}
// CHECK-LABEL: @reshape_splat_constant_int16
// CHECK: %[[CST:.*]] = constant dense<{{.*}}> : tensor<2x4x2xi16>
// CHECK-NOT: linalg.tensor_reshape
// CHECK: return %[[CST]]
func @reshape_splat_constant_float32() -> tensor<2x4x2xf32>
{
%c0 = constant dense<42.0> : tensor<2x8xf32>
%0 = linalg.tensor_reshape %c0
[affine_map<(d0, d1, d2) -> (d0)>,
affine_map<(d0, d1, d2) -> (d1, d2)>]
: tensor<2x8xf32> into tensor<2x4x2xf32>
return %0 : tensor<2x4x2xf32>
}
// CHECK-LABEL: @reshape_splat_constant_float32
// CHECK: %[[CST:.*]] = constant dense<{{.*}}> : tensor<2x4x2xf32>
// CHECK-NOT: linalg.tensor_reshape
// CHECK: return %[[CST]]
func @reshape_splat_constant_float64() -> tensor<2x4x2xf64>
{
%c0 = constant dense<42.0> : tensor<2x8xf64>
%0 = linalg.tensor_reshape %c0
[affine_map<(d0, d1, d2) -> (d0)>,
affine_map<(d0, d1, d2) -> (d1, d2)>]
: tensor<2x8xf64> into tensor<2x4x2xf64>
return %0 : tensor<2x4x2xf64>
}
// CHECK-LABEL: @reshape_splat_constant_float64
// CHECK: %[[CST:.*]] = constant dense<{{.*}}> : tensor<2x4x2xf64>
// CHECK-NOT: linalg.tensor_reshape
// CHECK: return %[[CST]]