derek.holloway
7502bf64a4
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82 lines
3.1 KiB
MLIR
82 lines
3.1 KiB
MLIR
// RUN: mlir-opt %s -convert-linalg-to-std --split-input-file -verify-diagnostics | FileCheck %s
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func.func @dot(%arg0: memref<?xf32, strided<[1], offset: ?>>,
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%arg1: memref<?xf32, strided<[1], offset: ?>>,
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%arg2: memref<f32>) {
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linalg.dot ins(%arg0, %arg1: memref<?xf32, strided<[1], offset: ?>>,
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memref<?xf32, strided<[1], offset: ?>>)
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outs(%arg2: memref<f32>)
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return
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}
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// CHECK-LABEL: func @dot(
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// CHECK-SAME: %[[arg0:[a-zA-z0-9]*]]: memref<?xf32, strided<[1], offset: ?>>,
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// CHECK-SAME: %[[arg1:[a-zA-z0-9]*]]: memref<?xf32, strided<[1], offset: ?>>,
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// CHECK-SAME: %[[arg2:[a-zA-z0-9]*]]: memref<f32>) {
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// CHECK: %[[o0:.*]] = memref.cast %[[arg0]] :
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// CHECK-SAME: memref<?xf32, strided<[1], offset: ?>> to memref<?xf32, strided<[?], offset: ?>>
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// CHECK: %[[o1:.*]] = memref.cast %[[arg1]] :
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// CHECK-SAME: memref<?xf32, strided<[1], offset: ?>> to memref<?xf32, strided<[?], offset: ?>>
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// CHECK: %[[o2:.*]] = memref.cast %[[arg2]] :
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// CHECK-SAME: memref<f32> to memref<f32, strided<[], offset: ?>>
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// CHECK: call @linalg_dot_viewsxf32_viewsxf32_viewf32(
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// CHECK-SAME: %[[o0]], %[[o1]], %[[o2]]) :
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// CHECK-SAME: memref<?xf32, strided<[?], offset: ?>>, memref<?xf32, strided<[?], offset: ?>>, memref<f32, strided<[], offset: ?>>
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// -----
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#matmul_accesses = [
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affine_map<(m, n, k) -> (m, k)>,
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affine_map<(m, n, k) -> (k, n)>,
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affine_map<(m, n, k) -> (m, n)>
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]
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#matmul_trait = {
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iterator_types = ["parallel", "parallel", "reduction"],
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indexing_maps = #matmul_accesses,
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library_call = "external_outerproduct_matmul"
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}
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!vector_type_A = vector<4xf32>
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!vector_type_B = vector<4xf32>
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!vector_type_C = vector<4x4xf32>
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!matrix_type_A = memref<?x?x!vector_type_A>
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!matrix_type_B = memref<?x?x!vector_type_B>
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!matrix_type_C = memref<?x?x!vector_type_C>
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func.func @matmul_vec_impl(%A: !matrix_type_A, %B: !matrix_type_B, %C: !matrix_type_C) {
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linalg.generic #matmul_trait
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ins(%A, %B : !matrix_type_A, !matrix_type_B)
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outs(%C : !matrix_type_C) {
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^bb0(%a: !vector_type_A, %b: !vector_type_B, %c: !vector_type_C):
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%d = vector.outerproduct %a, %b, %c: !vector_type_A, !vector_type_B
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linalg.yield %d: !vector_type_C
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}
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return
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}
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// CHECK-LABEL: func @matmul_vec_impl(
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// CHECK: call @external_outerproduct_matmul(%{{.*}}) :
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// -----
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#map = affine_map<(d0, d1) -> (d0, d1)>
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#map1 = affine_map<(d0, d1) -> (d0)>
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func.func @func(%arg0: tensor<?x?xf32>, %arg1: tensor<?xf32>) {
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// expected-error @below {{failed to legalize}}
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%0 = linalg.generic {
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indexing_maps = [#map, #map1], iterator_types = ["parallel", "reduction"]}
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ins(%arg0 : tensor<?x?xf32>) outs(%arg1 : tensor<?xf32>) {
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^bb0(%in: f32, %out: f32):
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linalg.yield %in : f32
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} -> tensor<?xf32>
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return
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}
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// -----
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func.func @func(%arg0: tensor<4x8xf32>, %arg1: tensor<4x8xf32>) -> tensor<4x8xf32> {
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// expected-error @below {{failed to legalize}}
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%0 = linalg.copy ins(%arg0 : tensor<4x8xf32>) outs(%arg1 : tensor<4x8xf32>) -> tensor<4x8xf32>
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return %0 : tensor<4x8xf32>
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}
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