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1// RUN: mlir-opt %s -one-shot-bufferize="bufferize-function-boundaries" -split-input-file | FileCheck %s2 3// Run fuzzer with different seeds.4// 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/null5// 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/null6// 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/null7 8// Test bufferization using memref types that have no layout map.9// 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/null10 11// CHECK-LABEL: func @write_to_select_op_source12// CHECK-SAME: %[[t1:.*]]: memref<?xf32, strided{{.*}}>, %[[t2:.*]]: memref<?xf32, strided{{.*}}>13func.func @write_to_select_op_source(14 %t1 : tensor<?xf32> {bufferization.writable = true},15 %t2 : tensor<?xf32> {bufferization.writable = true},16 %c : i1)17 -> (tensor<?xf32>, tensor<?xf32>)18{19 %cst = arith.constant 0.0 : f3220 %idx = arith.constant 0 : index21 // CHECK: %[[alloc:.*]] = memref.alloc22 // CHECK: memref.copy %[[t1]], %[[alloc]]23 // CHECK: memref.store %{{.*}}, %[[alloc]]24 %w = tensor.insert %cst into %t1[%idx] : tensor<?xf32>25 // CHECK: %[[select:.*]] = arith.select %{{.*}}, %[[t1]], %[[t2]]26 %s = arith.select %c, %t1, %t2 : tensor<?xf32>27 // CHECK: return %[[select]], %[[alloc]]28 return %s, %w : tensor<?xf32>, tensor<?xf32>29}30 31// -----32 33// Due to the out-of-place bufferization of %t1, buffers with different layout34// maps are passed to arith.select. A cast must be inserted.35 36// CHECK-LABEL: func @write_after_select_read_one37// CHECK-SAME: %[[t1:.*]]: memref<?xf32, strided{{.*}}>, %[[t2:.*]]: memref<?xf32, strided{{.*}}>38func.func @write_after_select_read_one(39 %t1 : tensor<?xf32> {bufferization.writable = true},40 %t2 : tensor<?xf32> {bufferization.writable = true},41 %c : i1)42 -> (f32, tensor<?xf32>)43{44 %cst = arith.constant 0.0 : f3245 %idx = arith.constant 0 : index46 47 // CHECK: %[[alloc:.*]] = memref.alloc48 // CHECK-DAG: %[[casted:.*]] = memref.cast %[[alloc]]49 // CHECK-DAG: memref.copy %[[t1]], %[[alloc]]50 // CHECK: %[[select:.*]] = arith.select %{{.*}}, %[[casted]], %[[t2]]51 %s = arith.select %c, %t1, %t2 : tensor<?xf32>52 53 // CHECK: memref.store %{{.*}}, %[[select]]54 %w = tensor.insert %cst into %s[%idx] : tensor<?xf32>55 56 // CHECK: %[[f:.*]] = memref.load %[[t1]]57 %f = tensor.extract %t1[%idx] : tensor<?xf32>58 59 // CHECK: return %[[f]], %[[select]]60 return %f, %w : f32, tensor<?xf32>61}62