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This passes bufferizes FuncOp bodies, but not FuncOp boundaries. Differential Revision: https://reviews.llvm.org/D114671
70 lines
2.5 KiB
MLIR
70 lines
2.5 KiB
MLIR
// RUN: mlir-opt %s -test-comprehensive-function-bufferize="allow-return-memref allow-unknown-ops" -split-input-file | FileCheck %s
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// Run fuzzer with different seeds.
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// RUN: mlir-opt %s -test-comprehensive-function-bufferize="test-analysis-only analysis-fuzzer-seed=23" -split-input-file -o /dev/null
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// RUN: mlir-opt %s -test-comprehensive-function-bufferize="test-analysis-only analysis-fuzzer-seed=59" -split-input-file -o /dev/null
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// RUN: mlir-opt %s -test-comprehensive-function-bufferize="test-analysis-only analysis-fuzzer-seed=91" -split-input-file -o /dev/null
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// CHECK-LABEL: func @use_tensor_func_arg(
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// CHECK-SAME: %[[A:.*]]: tensor<?xf32>
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func @use_tensor_func_arg(%A : tensor<?xf32>) -> (vector<4xf32>) {
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%c0 = arith.constant 0 : index
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%f0 = arith.constant 0.0 : f32
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// CHECK: %[[A_memref:.*]] = bufferization.to_memref %[[A]]
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// CHECK: %[[res:.*]] = vector.transfer_read %[[A_memref]]
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%0 = vector.transfer_read %A[%c0], %f0 : tensor<?xf32>, vector<4xf32>
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// CHECK: return %[[res]]
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return %0 : vector<4xf32>
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}
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// -----
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// CHECK-LABEL: func @return_tensor(
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// CHECK-SAME: %[[A:.*]]: tensor<?xf32>
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func @return_tensor(%A : tensor<?xf32>, %v : vector<4xf32>) -> (tensor<?xf32>) {
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%c0 = arith.constant 0 : index
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// CHECK: %[[A_memref:.*]] = bufferization.to_memref %[[A]]
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// CHECK: %[[dim:.*]] = tensor.dim %[[A]]
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// CHECK: %[[alloc:.*]] = memref.alloc(%[[dim]])
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// CHECK: %[[casted:.*]] = memref.cast %[[alloc]]
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// CHECK: memref.copy %[[A_memref]], %[[casted]]
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// CHECK: vector.transfer_write %{{.*}}, %[[alloc]]
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%0 = vector.transfer_write %v, %A[%c0] : vector<4xf32>, tensor<?xf32>
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// CHECK: %[[res_tensor:.*]] = bufferization.to_tensor %[[casted]]
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// CHECK: return %[[res_tensor]]
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return %0 : tensor<?xf32>
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}
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// -----
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// CHECK-LABEL: func @func_without_tensor_args
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func @func_without_tensor_args(%v : vector<10xf32>) -> () {
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// CHECK: %[[alloc:.*]] = memref.alloc()
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%0 = linalg.init_tensor[10] : tensor<10xf32>
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%c0 = arith.constant 0 : index
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// CHECK: vector.transfer_write %{{.*}}, %[[alloc]]
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%1 = vector.transfer_write %v, %0[%c0] : vector<10xf32>, tensor<10xf32>
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%cst = arith.constant 0.0 : f32
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// CHECK: vector.transfer_read %[[alloc]]
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%r = vector.transfer_read %1[%c0], %cst : tensor<10xf32>, vector<11xf32>
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vector.print %r : vector<11xf32>
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return
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}
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// -----
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// CHECK-LABEL: func private @private_func
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func private @private_func(tensor<?xf32>) -> ()
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// CHECK-LABEL: func @empty_func()
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func @empty_func() -> () {
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return
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}
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