103 lines
4.1 KiB
MLIR
103 lines
4.1 KiB
MLIR
// RUN: mlir-opt %s -finalizing-bufferize -split-input-file -verify-diagnostics | FileCheck %s
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// CHECK-LABEL: func @eliminate_materializations(
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// CHECK-SAME: %[[ARG:.*]]: memref<f32>) -> memref<f32> {
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// CHECK: return %[[ARG]] : memref<f32>
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func.func @eliminate_materializations(%arg0: memref<f32>) -> memref<f32> {
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%0 = bufferization.to_tensor %arg0 : memref<f32>
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%1 = bufferization.to_memref %0 : memref<f32>
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return %1 : memref<f32>
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}
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// -----
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func.func @unable_to_convert_lone_buffer_cast() -> memref<f32> {
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// expected-error @+1 {{failed to legalize operation 'test.source'}}
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%0 = "test.source"() : () -> tensor<f32>
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%1 = bufferization.to_memref %0 : memref<f32>
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return %1 : memref<f32>
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}
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// -----
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func.func @unable_to_convert_lone_tensor_load(%arg0: memref<f32>) {
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%0 = bufferization.to_tensor %arg0 : memref<f32>
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// expected-error @+1 {{failed to legalize operation 'test.sink'}}
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"test.sink"(%0) : (tensor<f32>) -> ()
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return
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}
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// -----
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// CHECK: #[[$map1:.*]] = affine_map<(d0)[s0] -> (d0 + s0)>
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// CHECK-LABEL: func @dyn_layout_to_no_layout_cast(
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// CHECK-SAME: %[[arg:.*]]: memref<?xf32, #[[$map1]]>)
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// CHECK: %[[c0:.*]] = arith.constant 0 : index
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// CHECK: %[[dim:.*]] = memref.dim %[[arg]], %[[c0]]
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// CHECK: %[[alloc:.*]] = memref.alloc(%[[dim]]) : memref<?xf32>
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// CHECK: memref.copy %[[arg]], %[[alloc]]
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// CHECK: return %[[alloc]]
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#map1 = affine_map<(d0)[s0] -> (d0 + s0)>
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func.func @dyn_layout_to_no_layout_cast(%m: memref<?xf32, #map1>) -> memref<?xf32> {
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%0 = bufferization.to_tensor %m : memref<?xf32, #map1>
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%1 = bufferization.to_memref %0 : memref<?xf32>
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return %1 : memref<?xf32>
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}
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// -----
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// CHECK: #[[$map2:.*]] = affine_map<(d0)[s0] -> (d0 * 100 + s0)>
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// CHECK-LABEL: func @fancy_layout_to_no_layout_cast(
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// CHECK-SAME: %[[arg:.*]]: memref<?xf32, #[[$map2]]>)
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// CHECK: %[[c0:.*]] = arith.constant 0 : index
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// CHECK: %[[dim:.*]] = memref.dim %[[arg]], %[[c0]]
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// CHECK: %[[alloc:.*]] = memref.alloc(%[[dim]]) : memref<?xf32>
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// CHECK: memref.copy %[[arg]], %[[alloc]]
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// CHECK: return %[[alloc]]
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#map2 = affine_map<(d0)[s0] -> (d0 * 100 + s0)>
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func.func @fancy_layout_to_no_layout_cast(%m: memref<?xf32, #map2>) -> memref<?xf32> {
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%0 = bufferization.to_tensor %m : memref<?xf32, #map2>
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%1 = bufferization.to_memref %0 : memref<?xf32>
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return %1 : memref<?xf32>
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}
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// -----
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// CHECK: #[[$map3:.*]] = affine_map<(d0)[s0] -> (d0 + 25)>
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// CHECK-LABEL: func @static_layout_to_no_layout_cast(
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// CHECK-SAME: %[[arg:.*]]: memref<?xf32, #[[$map3]]>)
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// CHECK: %[[c0:.*]] = arith.constant 0 : index
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// CHECK: %[[dim:.*]] = memref.dim %[[arg]], %[[c0]]
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// CHECK: %[[alloc:.*]] = memref.alloc(%[[dim]]) : memref<?xf32>
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// CHECK: memref.copy %[[arg]], %[[alloc]]
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// CHECK: return %[[alloc]]
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#map3 = affine_map<(d0)[s0] -> (d0 + 25)>
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func.func @static_layout_to_no_layout_cast(%m: memref<?xf32, #map3>) -> memref<?xf32> {
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%0 = bufferization.to_tensor %m : memref<?xf32, #map3>
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%1 = bufferization.to_memref %0 : memref<?xf32>
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return %1 : memref<?xf32>
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}
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// -----
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// TODO: to_memref with layout maps not supported yet. This should fold to a
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// memref.cast.
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#map4 = affine_map<(d0)[s0] -> (d0 + s0)>
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func.func @no_layout_to_dyn_layout_cast(%m: memref<?xf32>) -> memref<?xf32, #map4> {
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%0 = bufferization.to_tensor %m : memref<?xf32>
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// expected-error @+1 {{failed to materialize conversion for result #0 of operation 'bufferization.to_memref' that remained live after conversion}}
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%1 = bufferization.to_memref %0 : memref<?xf32, #map4>
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// expected-note @+1 {{see existing live user here}}
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return %1 : memref<?xf32, #map4>
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}
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// -----
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func.func @illegal_unranked_to_rank(%m: memref<*xf32>) -> memref<?xf32> {
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// expected-note @+1 {{prior use here}}
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%0 = bufferization.to_tensor %m : memref<*xf32>
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// expected-error @+1 {{expects different type than prior uses: 'tensor<?xf32>' vs 'tensor<*xf32>'}}
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%1 = bufferization.to_memref %0 : memref<?xf32>
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return %1 : memref<?xf32>
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}
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