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1// RUN: mlir-opt %s --one-shot-bufferize="dialect-filter=arith,bufferization copy-before-write unknown-type-conversion=identity-layout-map" -split-input-file -verify-diagnostics | FileCheck %s2 3// CHECK-LABEL: func @index_cast(4// CHECK-SAME: %[[TENSOR:.*]]: tensor<i32>, %[[SCALAR:.*]]: i325func.func @index_cast(%tensor: tensor<i32>, %scalar: i32) -> (tensor<index>, index) {6 %index_tensor = arith.index_cast %tensor : tensor<i32> to tensor<index>7 %index_scalar = arith.index_cast %scalar : i32 to index8 return %index_tensor, %index_scalar : tensor<index>, index9}10// CHECK: %[[MEMREF:.*]] = bufferization.to_buffer %[[TENSOR]] : tensor<i32>11// CHECK-NEXT: %[[INDEX_MEMREF:.*]] = arith.index_cast %[[MEMREF]]12// CHECK-SAME: memref<i32> to memref<index>13// CHECK-NEXT: %[[INDEX_TENSOR:.*]] = bufferization.to_tensor %[[INDEX_MEMREF]]14// CHECK: return %[[INDEX_TENSOR]]15 16// -----17 18// CHECK-LABEL: module {19 20// We check the debug name too since we put some effort into making that readable.21// The name isn't load-bearing though.22 23// CHECK: memref.global "private" constant @__constant_3x4xf32 : memref<3x4xf32> = dense<7.000000e+00>24// CHECK-SAME: {alignment = 64 : i64}25 26// CHECK: @basic27func.func @basic() -> tensor<3x4xf32> {28 // CHECK: %[[MEMREF:.*]] = memref.get_global @__constant_3x4xf32 : memref<3x4xf32>29 // CHECK: %[[TENSOR:.*]] = bufferization.to_tensor %[[MEMREF]]30 %0 = arith.constant dense<7.0> : tensor<3x4xf32>31 // CHECK: return %[[TENSOR]]32 return %0 : tensor<3x4xf32>33}34 35// CHECK: }36 37// -----38 39// CHECK-LABEL: module {40 41// Only one global is created.42// CHECK: memref.global43// CHECK-NOT: memref.global44func.func @duplicate_constants() -> (tensor<3x4xf32>, tensor<3x4xf32>) {45 %0 = arith.constant dense<7.0> : tensor<3x4xf32>46 %1 = arith.constant dense<7.0> : tensor<3x4xf32>47 return %0, %1 : tensor<3x4xf32>, tensor<3x4xf32>48}49 50// CHECK: }51 52// -----53 54// CHECK-LABEL: module {55 56// Two globals are created.57// CHECK: memref.global58// CHECK: memref.global59// CHECK-NOT: memref.global60func.func @multiple_constants() -> (tensor<3x4xf32>, tensor<3x4xf32>) {61 %0 = arith.constant dense<7.0> : tensor<3x4xf32>62 %1 = arith.constant dense<8.0> : tensor<3x4xf32>63 return %0, %1 : tensor<3x4xf32>, tensor<3x4xf32>64}65 66// CHECK: }67 68// -----69 70// CHECK-LABEL: module {71// We don't convert non-tensor globals.72// CHECK-NOT: memref.global73func.func @non_tensor() {74 %0 = arith.constant 7 : i3275 return76}77 78// CHECK: }79 80// -----81 82// CHECK-LABEL: func @select(83// CHECK-SAME: %[[PRED:.*]]: i1,84// CHECK-SAME: %[[TRUE_VAL:.*]]: tensor<f32>,85// CHECK-SAME: %[[FALSE_VAL:.*]]: tensor<f32>) -> tensor<f32> {86// CHECK-DAG: %[[TRUE_VAL_MEMREF:.*]] = bufferization.to_buffer %[[TRUE_VAL]] : tensor<f32>87// CHECK-DAG: %[[FALSE_VAL_MEMREF:.*]] = bufferization.to_buffer %[[FALSE_VAL]] : tensor<f32>88// CHECK: %[[RET_MEMREF:.*]] = arith.select %[[PRED]], %[[TRUE_VAL_MEMREF]], %[[FALSE_VAL_MEMREF]] : memref<f32>89// CHECK: %[[RET:.*]] = bufferization.to_tensor %[[RET_MEMREF]] : memref<f32>90// CHECK: return %[[RET]] : tensor<f32>91func.func @select(%arg0: i1, %arg1: tensor<f32>, %arg2: tensor<f32>) -> tensor<f32> {92 %0 = arith.select %arg0, %arg1, %arg2 : tensor<f32>93 return %0 : tensor<f32>94}95 96// -----97 98func.func @elementwise_select(%arg0: tensor<5xi1>, %arg1: tensor<5xi32>, %arg2: tensor<5xi32>) -> tensor<5xi32> {99 // expected-error @below{{only i1 condition values are supported}}100 // expected-error @below{{failed to bufferize op}}101 %0 = arith.select %arg0, %arg1, %arg2 : tensor<5xi1>, tensor<5xi32>102 return %0 : tensor<5xi32>103}104