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108 lines
3.1 KiB
108 lines
3.1 KiB
// RUN: mlir-opt %s -linalg-fold-unit-extent-dims="fold-one-trip-loops-only" -split-input-file | FileCheck %s
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#accesses = [
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affine_map<(i, j, k, l, m) -> (i, k, m)>,
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affine_map<(i, j, k, l, m) -> (i, k, j, l, m)>
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]
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#trait = {
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iterator_types = ["parallel", "parallel", "parallel", "parallel", "parallel"],
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indexing_maps = #accesses,
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library_call = "some_external_func"
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}
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func @drop_one_trip_loops(%arg0 : tensor<?x1x?xf32>) -> tensor<?x1x?x1x?xf32>
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{
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%0 = linalg.generic #trait
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ins(%arg0 : tensor<?x1x?xf32>) {
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^bb0(%arg1 : f32) :
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linalg.yield %arg1 : f32
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} -> tensor<?x1x?x1x?xf32>
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return %0 : tensor<?x1x?x1x?xf32>
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}
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// CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0, d1, d2) -> (d0, 0, d2)>
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// CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0, d1, d2) -> (d0, 0, d1, 0, d2)>
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// CHECK-LABEL: func @drop_one_trip_loops
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// CHECK: linalg.generic
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// CHECK-SAME: indexing_maps = [#[[$MAP0]], #[[$MAP1]]]
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// CHECK-SAME: iterator_types = ["parallel", "parallel", "parallel"]
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// -----
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#map0 = affine_map<(i, j) -> (i, j)>
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#access = [#map0, #map0]
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#trait = {
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iterator_types = ["parallel", "parallel"],
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indexing_maps = #access,
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library_call = "some_external_func"
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}
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func @drop_all_loops(%arg0 : tensor<1x1xf32>) -> tensor<1x1xf32>
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{
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%0 = linalg.generic #trait
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ins(%arg0 : tensor<1x1xf32>) {
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^bb0(%arg1: f32) :
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linalg.yield %arg1 : f32
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} -> tensor<1x1xf32>
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return %0 : tensor<1x1xf32>
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}
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// CHECK-DAG: #[[$MAP0:.*]] = affine_map<() -> (0, 0)>
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// CHECK-LABEL: func @drop_all_loops
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// CHECK: linalg.generic
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// CHECK-SAME: indexing_maps = [#[[$MAP0]], #[[$MAP0]]]
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// CHECK-SAME: iterator_types = []
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// -----
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#map0 = affine_map<(i, j) -> (i, j)>
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#access = [#map0, #map0]
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#trait = {
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iterator_types = ["parallel", "parallel"],
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indexing_maps = #access,
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library_call = "some_external_func"
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}
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func @drop_all_loops(%arg0 : memref<1x1xf32>, %arg1 : memref<1x1xf32>)
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{
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linalg.generic #trait
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ins(%arg0 : memref<1x1xf32>)
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outs(%arg1 : memref<1x1xf32>) {
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^bb0(%arg2: f32, %arg3 : f32) :
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linalg.yield %arg2 : f32
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}
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return
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}
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// CHECK-DAG: #[[$MAP0:.*]] = affine_map<() -> (0, 0)>
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// CHECK-LABEL: func @drop_all_loops
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// CHECK: linalg.generic
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// CHECK-SAME: indexing_maps = [#[[$MAP0]], #[[$MAP0]]]
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// CHECK-SAME: iterator_types = []
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// -----
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#accesses = [
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affine_map<(d0, d1) -> (d0, d1)>,
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affine_map<(d0, d1) -> (d1)>
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]
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#trait = {
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indexing_maps = #accesses,
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iterator_types = ["parallel", "parallel"],
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library_call = "some_external_fn"
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}
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func @leading_dim_1_canonicalization(%arg0: tensor<1x5xf32>) -> tensor<5xf32> {
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%0 = linalg.generic #trait
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ins(%arg0 : tensor<1x5xf32>) {
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^bb0(%arg2: f32): // no predecessors
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linalg.yield %arg2 : f32
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} -> tensor<5xf32>
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return %0 : tensor<5xf32>
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}
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// CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0) -> (0, d0)>
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// CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0) -> (d0)>
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// CHECK-LABEL: func @leading_dim_1_canonicalization
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// CHECK: linalg.generic
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// CHECK-SAME: indexing_maps = [#[[$MAP0]], #[[$MAP1]]]
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// CHECK-SAME: iterator_types = ["parallel"]
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