a0615d020a
This commit is part of the migration of towards the new STEA syntax/design. In particular, this commit includes the following changes:
* Renaming compiler-internal functions/methods:
* `SparseTensorEncodingAttr::{getDimLevelType => getLvlTypes}`
* `Merger::{getDimLevelType => getLvlType}` (for consistency)
* `sparse_tensor::{getDimLevelType => buildLevelType}` (to help reduce confusion vs actual getter methods)
* Renaming external facets to match:
* the STEA parser and printer
* the C and Python bindings
* PyTACO
However, the actual renaming of the `DimLevelType` itself (along with all the "dlt" names) will be handled in a separate commit.
Reviewed By: aartbik
Differential Revision: https://reviews.llvm.org/D150330
98 lines
3.1 KiB
MLIR
98 lines
3.1 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<{ lvlTypes = [ "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<{ lvlTypes = [ "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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// expected-error @+1{{invalid value for 'bufferization.access'}}
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func.func private @invalid_buffer_access_type(tensor<*xf32> {bufferization.access = "foo"})
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// -----
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// expected-error @+1{{'bufferization.writable' is invalid on external functions}}
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func.func private @invalid_writable_attribute(tensor<*xf32> {bufferization.writable = false})
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// -----
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func.func @invalid_writable_on_op() {
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// expected-error @+1{{attribute '"bufferization.writable"' not supported as an op attribute by the bufferization dialect}}
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arith.constant {bufferization.writable = true} 0 : index
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}
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