| // RUN: mlir-opt %s -one-shot-bufferize="bufferize-function-boundaries" -split-input-file | FileCheck %s |
| |
| // Run fuzzer with different seeds. |
| // RUN: mlir-opt %s -one-shot-bufferize="test-analysis-only analysis-heuristic=fuzzer analysis-fuzzer-seed=23 bufferize-function-boundaries" -split-input-file -o /dev/null |
| // RUN: mlir-opt %s -one-shot-bufferize="test-analysis-only analysis-heuristic=fuzzer analysis-fuzzer-seed=59 bufferize-function-boundaries" -split-input-file -o /dev/null |
| // RUN: mlir-opt %s -one-shot-bufferize="test-analysis-only analysis-heuristic=fuzzer 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="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> |
| } |