This attribute is currently supported on AllocTensorOp only. Future changes will add support to other ops. Furthermore, the memory space is not propagated properly in all bufferization patterns and some of the core bufferization infrastructure. This will be addressed in a subsequent change. Differential Revision: https://reviews.llvm.org/D128274
90 lines
2.8 KiB
MLIR
90 lines
2.8 KiB
MLIR
// RUN: mlir-opt %s -split-input-file -verify-diagnostics
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func.func @alloc_tensor_missing_dims(%arg0: index)
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{
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// expected-error @+1 {{expected 2 dynamic sizes}}
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%0 = bufferization.alloc_tensor(%arg0) : tensor<4x?x?x5xf32>
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return
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}
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// -----
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// expected-note @+1 {{prior use here}}
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func.func @alloc_tensor_type_mismatch(%t: tensor<?xf32>) {
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// expected-error @+1{{expects different type than prior uses: 'tensor<5xf32>' vs 'tensor<?xf32>'}}
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%0 = bufferization.alloc_tensor() copy(%t) : tensor<5xf32>
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return
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}
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// -----
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func.func @alloc_tensor_copy_and_dims(%t: tensor<?xf32>, %sz: index) {
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// expected-error @+1{{dynamic sizes not needed when copying a tensor}}
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%0 = bufferization.alloc_tensor(%sz) copy(%t) : tensor<?xf32>
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return
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}
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// -----
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func.func @alloc_tensor_invalid_escape_attr(%sz: index) {
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// expected-error @+1{{'bufferization.escape' is expected to be a bool array attribute}}
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%0 = bufferization.alloc_tensor(%sz) {bufferization.escape = 5} : tensor<?xf32>
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return
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}
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// -----
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func.func @alloc_tensor_invalid_escape_attr_size(%sz: index) {
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// expected-error @+1{{'bufferization.escape' has wrong number of elements, expected 1, got 2}}
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%0 = bufferization.alloc_tensor(%sz) {bufferization.escape = [true, false]} : tensor<?xf32>
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return
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}
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// -----
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func.func @escape_attr_non_allocating(%t0: tensor<?xf32>) {
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// expected-error @+1{{'bufferization.escape' only valid for allocation results}}
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%0 = tensor.extract_slice %t0[0][5][1] {bufferization.escape = [true]} : tensor<?xf32> to tensor<5xf32>
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return
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}
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// -----
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func.func @escape_attr_non_bufferizable(%m0: memref<?xf32>) {
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// expected-error @+1{{'bufferization.escape' only valid on bufferizable ops}}
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%0 = memref.cast %m0 {bufferization.escape = [true]} : memref<?xf32> to memref<10xf32>
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return
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}
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// -----
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#DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
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func.func @sparse_alloc_direct_return() -> tensor<20x40xf32, #DCSR> {
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// expected-error @+1{{sparse tensor allocation should not escape function}}
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%0 = bufferization.alloc_tensor() : tensor<20x40xf32, #DCSR>
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return %0 : tensor<20x40xf32, #DCSR>
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}
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// -----
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#DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
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func.func private @foo(tensor<20x40xf32, #DCSR>) -> ()
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func.func @sparse_alloc_call() {
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// expected-error @+1{{sparse tensor allocation should not escape function}}
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%0 = bufferization.alloc_tensor() : tensor<20x40xf32, #DCSR>
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call @foo(%0) : (tensor<20x40xf32, #DCSR>) -> ()
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return
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}
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// -----
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func.func @alloc_tensor_invalid_memory_space_attr(%sz: index) {
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// expected-error @+1{{'bufferization.alloc_tensor' op attribute 'memory_space' failed to satisfy constraint: 64-bit unsigned integer attribute}}
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%0 = bufferization.alloc_tensor(%sz) {memory_space = "foo"} : tensor<?xf32>
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return
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}
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