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// RUN: mlir-opt %s -one-shot-bufferize="allow-return-allocs bufferize-function-boundaries" -split-input-file | FileCheck %s
// Run fuzzer with different seeds.
// RUN: mlir-opt %s -one-shot-bufferize="allow-return-allocs test-analysis-only analysis-fuzzer-seed=23 bufferize-function-boundaries" -split-input-file -o /dev/null
// RUN: mlir-opt %s -one-shot-bufferize="allow-return-allocs test-analysis-only analysis-fuzzer-seed=59 bufferize-function-boundaries" -split-input-file -o /dev/null
// RUN: mlir-opt %s -one-shot-bufferize="allow-return-allocs test-analysis-only analysis-fuzzer-seed=91 bufferize-function-boundaries" -split-input-file -o /dev/null
// Test bufferization using memref types that have no layout map.
// RUN: mlir-opt %s -one-shot-bufferize="allow-return-allocs unknown-type-conversion=identity-layout-map function-boundary-type-conversion=identity-layout-map bufferize-function-boundaries" -split-input-file -o /dev/null
// CHECK-LABEL: func @write_to_select_op_source
// CHECK-SAME: %[[t1:.*]]: memref<?xf32, strided{{.*}}>, %[[t2:.*]]: memref<?xf32, strided{{.*}}>
func.func @write_to_select_op_source(
%t1 : tensor<?xf32> {bufferization.writable = true},
%t2 : tensor<?xf32> {bufferization.writable = true},
%c : i1)
-> (tensor<?xf32>, tensor<?xf32>)
{
%cst = arith.constant 0.0 : f32
%idx = arith.constant 0 : index
// CHECK: %[[alloc:.*]] = memref.alloc
// CHECK: memref.copy %[[t1]], %[[alloc]]
// CHECK: memref.store %{{.*}}, %[[alloc]]
%w = tensor.insert %cst into %t1[%idx] : tensor<?xf32>
// CHECK: %[[select:.*]] = arith.select %{{.*}}, %[[t1]], %[[t2]]
%s = arith.select %c, %t1, %t2 : tensor<?xf32>
// CHECK: return %[[select]], %[[alloc]]
return %s, %w : tensor<?xf32>, tensor<?xf32>
}
// -----
// Due to the out-of-place bufferization of %t1, buffers with different layout
// maps are passed to arith.select. A cast must be inserted.
// CHECK-LABEL: func @write_after_select_read_one
// CHECK-SAME: %[[t1:.*]]: memref<?xf32, strided{{.*}}>, %[[t2:.*]]: memref<?xf32, strided{{.*}}>
func.func @write_after_select_read_one(
%t1 : tensor<?xf32> {bufferization.writable = true},
%t2 : tensor<?xf32> {bufferization.writable = true},
%c : i1)
-> (f32, tensor<?xf32>)
{
%cst = arith.constant 0.0 : f32
%idx = arith.constant 0 : index
// CHECK: %[[alloc:.*]] = memref.alloc
// CHECK-DAG: %[[casted:.*]] = memref.cast %[[alloc]]
// CHECK-DAG: memref.copy %[[t1]], %[[alloc]]
// CHECK: %[[select:.*]] = arith.select %{{.*}}, %[[casted]], %[[t2]]
%s = arith.select %c, %t1, %t2 : tensor<?xf32>
// CHECK: memref.store %{{.*}}, %[[select]]
%w = tensor.insert %cst into %s[%idx] : tensor<?xf32>
// CHECK: %[[f:.*]] = memref.load %[[t1]]
%f = tensor.extract %t1[%idx] : tensor<?xf32>
// CHECK: return %[[f]], %[[select]]
return %f, %w : f32, tensor<?xf32>
}
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