27a431f5e9
This op used to belong to the sparse dialect, but there are use cases for dense bufferization as well. (E.g., when a tensor alloc is returned from a function and should be deallocated at the call site.) This change moves the op to the bufferization dialect, which now has an `alloc_tensor` and a `dealloc_tensor` op. Differential Revision: https://reviews.llvm.org/D129985
363 lines
11 KiB
MLIR
363 lines
11 KiB
MLIR
// RUN: mlir-opt %s -split-input-file -verify-diagnostics
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func.func @invalid_new_dense(%arg0: !llvm.ptr<i8>) -> tensor<32xf32> {
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// expected-error@+1 {{'sparse_tensor.new' op result #0 must be sparse tensor of any type values, but got 'tensor<32xf32>'}}
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%0 = sparse_tensor.new %arg0 : !llvm.ptr<i8> to tensor<32xf32>
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return %0 : tensor<32xf32>
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}
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// -----
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func.func @invalid_pointers_dense(%arg0: tensor<128xf64>) -> memref<?xindex> {
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%c = arith.constant 0 : index
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// expected-error@+1 {{'sparse_tensor.pointers' op operand #0 must be sparse tensor of any type values, but got 'tensor<128xf64>'}}
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%0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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func.func @invalid_pointers_unranked(%arg0: tensor<*xf64>) -> memref<?xindex> {
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%c = arith.constant 0 : index
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// expected-error@+1 {{'sparse_tensor.pointers' op operand #0 must be sparse tensor of any type values, but got 'tensor<*xf64>'}}
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%0 = sparse_tensor.pointers %arg0, %c : tensor<*xf64> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"], pointerBitWidth=32}>
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func.func @mismatch_pointers_types(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
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%c = arith.constant 0 : index
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// expected-error@+1 {{unexpected type for pointers}}
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%0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
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func.func @pointers_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
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%c = arith.constant 1 : index
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// expected-error@+1 {{requested pointers dimension out of bounds}}
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%0 = sparse_tensor.pointers %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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func.func @invalid_indices_dense(%arg0: tensor<10x10xi32>) -> memref<?xindex> {
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%c = arith.constant 1 : index
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// expected-error@+1 {{'sparse_tensor.indices' op operand #0 must be sparse tensor of any type values, but got 'tensor<10x10xi32>'}}
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%0 = sparse_tensor.indices %arg0, %c : tensor<10x10xi32> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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func.func @invalid_indices_unranked(%arg0: tensor<*xf64>) -> memref<?xindex> {
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%c = arith.constant 0 : index
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// expected-error@+1 {{'sparse_tensor.indices' op operand #0 must be sparse tensor of any type values, but got 'tensor<*xf64>'}}
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%0 = sparse_tensor.indices %arg0, %c : tensor<*xf64> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
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func.func @mismatch_indices_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xi32> {
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%c = arith.constant 0 : index
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// expected-error@+1 {{unexpected type for indices}}
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%0 = sparse_tensor.indices %arg0, %c : tensor<?xf64, #SparseVector> to memref<?xi32>
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return %0 : memref<?xi32>
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}
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// -----
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#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
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func.func @indices_oob(%arg0: tensor<128xf64, #SparseVector>) -> memref<?xindex> {
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%c = arith.constant 1 : index
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// expected-error@+1 {{requested indices dimension out of bounds}}
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%0 = sparse_tensor.indices %arg0, %c : tensor<128xf64, #SparseVector> to memref<?xindex>
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return %0 : memref<?xindex>
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}
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// -----
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func.func @invalid_values_dense(%arg0: tensor<1024xf32>) -> memref<?xf32> {
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// expected-error@+1 {{'sparse_tensor.values' op operand #0 must be sparse tensor of any type values, but got 'tensor<1024xf32>'}}
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%0 = sparse_tensor.values %arg0 : tensor<1024xf32> to memref<?xf32>
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return %0 : memref<?xf32>
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}
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// -----
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#SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
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func.func @mismatch_values_types(%arg0: tensor<?xf64, #SparseVector>) -> memref<?xf32> {
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// expected-error@+1 {{unexpected mismatch in element types}}
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%0 = sparse_tensor.values %arg0 : tensor<?xf64, #SparseVector> to memref<?xf32>
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return %0 : memref<?xf32>
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}
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// -----
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func.func @sparse_unannotated_load(%arg0: tensor<16x32xf64>) -> tensor<16x32xf64> {
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// expected-error@+1 {{'sparse_tensor.load' op operand #0 must be sparse tensor of any type values, but got 'tensor<16x32xf64>'}}
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%0 = sparse_tensor.load %arg0 : tensor<16x32xf64>
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return %0 : tensor<16x32xf64>
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}
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// -----
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func.func @sparse_unannotated_insert(%arg0: tensor<128xf64>, %arg1: memref<?xindex>, %arg2: f64) {
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// expected-error@+1 {{'sparse_tensor.lex_insert' op operand #0 must be sparse tensor of any type values, but got 'tensor<128xf64>'}}
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sparse_tensor.lex_insert %arg0, %arg1, %arg2 : tensor<128xf64>, memref<?xindex>, f64
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return
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}
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// -----
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func.func @sparse_unannotated_expansion(%arg0: tensor<128xf64>) {
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// expected-error@+1 {{'sparse_tensor.expand' op operand #0 must be sparse tensor of any type values, but got 'tensor<128xf64>'}}
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%values, %filled, %added, %count = sparse_tensor.expand %arg0
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: tensor<128xf64> to memref<?xf64>, memref<?xi1>, memref<?xindex>, index
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return
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}
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// -----
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func.func @sparse_unannotated_compression(%arg0: tensor<128xf64>, %arg1: memref<?xindex>,
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%arg2: memref<?xf64>, %arg3: memref<?xi1>,
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%arg4: memref<?xindex>, %arg5: index) {
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// expected-error@+1 {{'sparse_tensor.compress' op operand #0 must be sparse tensor of any type values, but got 'tensor<128xf64>'}}
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sparse_tensor.compress %arg0, %arg1, %arg2, %arg3, %arg4, %arg5
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: tensor<128xf64>, memref<?xindex>, memref<?xf64>, memref<?xi1>, memref<?xindex>, index
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}
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// -----
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func.func @sparse_convert_unranked(%arg0: tensor<*xf32>) -> tensor<10xf32> {
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// expected-error@+1 {{unexpected type in convert}}
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%0 = sparse_tensor.convert %arg0 : tensor<*xf32> to tensor<10xf32>
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return %0 : tensor<10xf32>
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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_convert_rank_mismatch(%arg0: tensor<10x10xf64, #DCSR>) -> tensor<?xf64> {
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// expected-error@+1 {{unexpected conversion mismatch in rank}}
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%0 = sparse_tensor.convert %arg0 : tensor<10x10xf64, #DCSR> to tensor<?xf64>
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return %0 : tensor<?xf64>
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}
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// -----
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#CSR = #sparse_tensor.encoding<{dimLevelType = ["dense", "compressed"]}>
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func.func @sparse_convert_dim_mismatch(%arg0: tensor<10x?xf32>) -> tensor<10x10xf32, #CSR> {
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// expected-error@+1 {{unexpected conversion mismatch in dimension 1}}
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%0 = sparse_tensor.convert %arg0 : tensor<10x?xf32> to tensor<10x10xf32, #CSR>
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return %0 : tensor<10x10xf32, #CSR>
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}
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// -----
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func.func @invalid_out_dense(%arg0: tensor<10xf64>, %arg1: !llvm.ptr<i8>) {
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// expected-error@+1 {{'sparse_tensor.out' op operand #0 must be sparse tensor of any type values, but got 'tensor<10xf64>'}}
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sparse_tensor.out %arg0, %arg1 : tensor<10xf64>, !llvm.ptr<i8>
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return
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}
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// -----
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func.func @invalid_binary_num_args_mismatch_overlap(%arg0: f64, %arg1: f64) -> f64 {
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// expected-error@+1 {{overlap region must have exactly 2 arguments}}
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%r = sparse_tensor.binary %arg0, %arg1 : f64, f64 to f64
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overlap={
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^bb0(%x: f64):
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sparse_tensor.yield %x : f64
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}
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left={}
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right={}
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return %r : f64
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}
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// -----
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func.func @invalid_binary_num_args_mismatch_right(%arg0: f64, %arg1: f64) -> f64 {
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// expected-error@+1 {{right region must have exactly 1 arguments}}
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%r = sparse_tensor.binary %arg0, %arg1 : f64, f64 to f64
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overlap={}
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left={}
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right={
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^bb0(%x: f64, %y: f64):
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sparse_tensor.yield %y : f64
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}
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return %r : f64
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}
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// -----
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func.func @invalid_binary_argtype_mismatch(%arg0: f64, %arg1: f64) -> f64 {
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// expected-error@+1 {{overlap region argument 2 type mismatch}}
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%r = sparse_tensor.binary %arg0, %arg1 : f64, f64 to f64
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overlap={
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^bb0(%x: f64, %y: f32):
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sparse_tensor.yield %x : f64
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}
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left=identity
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right=identity
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return %r : f64
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}
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// -----
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func.func @invalid_binary_wrong_return_type(%arg0: f64, %arg1: f64) -> f64 {
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// expected-error@+1 {{left region yield type mismatch}}
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%0 = sparse_tensor.binary %arg0, %arg1 : f64, f64 to f64
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overlap={}
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left={
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^bb0(%x: f64):
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%1 = arith.constant 0.0 : f32
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sparse_tensor.yield %1 : f32
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}
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right=identity
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return %0 : f64
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}
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// -----
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func.func @invalid_binary_wrong_identity_type(%arg0: i64, %arg1: f64) -> f64 {
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// expected-error@+1 {{left=identity requires first argument to have the same type as the output}}
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%0 = sparse_tensor.binary %arg0, %arg1 : i64, f64 to f64
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overlap={}
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left=identity
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right=identity
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return %0 : f64
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}
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// -----
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func.func @invalid_binary_wrong_yield(%arg0: f64, %arg1: f64) -> f64 {
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// expected-error@+1 {{left region must end with sparse_tensor.yield}}
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%0 = sparse_tensor.binary %arg0, %arg1 : f64, f64 to f64
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overlap={}
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left={
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^bb0(%x: f64):
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tensor.yield %x : f64
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}
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right=identity
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return %0 : f64
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}
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// -----
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func.func @invalid_unary_argtype_mismatch(%arg0: f64) -> f64 {
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// expected-error@+1 {{present region argument 1 type mismatch}}
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%r = sparse_tensor.unary %arg0 : f64 to f64
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present={
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^bb0(%x: index):
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sparse_tensor.yield %x : index
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}
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absent={}
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return %r : f64
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}
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// -----
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func.func @invalid_unary_num_args_mismatch(%arg0: f64) -> f64 {
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// expected-error@+1 {{absent region must have exactly 0 arguments}}
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%r = sparse_tensor.unary %arg0 : f64 to f64
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present={}
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absent={
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^bb0(%x: f64):
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sparse_tensor.yield %x : f64
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}
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return %r : f64
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}
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// -----
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func.func @invalid_unary_wrong_return_type(%arg0: f64) -> f64 {
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// expected-error@+1 {{present region yield type mismatch}}
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%0 = sparse_tensor.unary %arg0 : f64 to f64
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present={
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^bb0(%x: f64):
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%1 = arith.constant 0.0 : f32
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sparse_tensor.yield %1 : f32
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}
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absent={}
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return %0 : f64
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}
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// -----
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func.func @invalid_unary_wrong_yield(%arg0: f64) -> f64 {
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// expected-error@+1 {{present region must end with sparse_tensor.yield}}
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%0 = sparse_tensor.unary %arg0 : f64 to f64
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present={
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^bb0(%x: f64):
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tensor.yield %x : f64
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}
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absent={}
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return %0 : f64
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}
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// -----
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func.func @invalid_reduce_num_args_mismatch(%arg0: f64, %arg1: f64) -> f64 {
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%cf1 = arith.constant 1.0 : f64
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// expected-error@+1 {{reduce region must have exactly 2 arguments}}
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%r = sparse_tensor.reduce %arg0, %arg1, %cf1 : f64 {
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^bb0(%x: f64):
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sparse_tensor.yield %x : f64
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}
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return %r : f64
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}
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// -----
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func.func @invalid_reduce_block_arg_type_mismatch(%arg0: i64, %arg1: i64) -> i64 {
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%ci1 = arith.constant 1 : i64
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// expected-error@+1 {{reduce region argument 1 type mismatch}}
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%r = sparse_tensor.reduce %arg0, %arg1, %ci1 : i64 {
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^bb0(%x: f64, %y: f64):
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%cst = arith.constant 2 : i64
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sparse_tensor.yield %cst : i64
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}
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return %r : i64
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}
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// -----
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func.func @invalid_reduce_return_type_mismatch(%arg0: f64, %arg1: f64) -> f64 {
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%cf1 = arith.constant 1.0 : f64
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// expected-error@+1 {{reduce region yield type mismatch}}
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%r = sparse_tensor.reduce %arg0, %arg1, %cf1 : f64 {
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^bb0(%x: f64, %y: f64):
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%cst = arith.constant 2 : i64
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sparse_tensor.yield %cst : i64
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}
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return %r : f64
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}
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// -----
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func.func @invalid_reduce_wrong_yield(%arg0: f64, %arg1: f64) -> f64 {
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%cf1 = arith.constant 1.0 : f64
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// expected-error@+1 {{reduce region must end with sparse_tensor.yield}}
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%r = sparse_tensor.reduce %arg0, %arg1, %cf1 : f64 {
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^bb0(%x: f64, %y: f64):
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%cst = arith.constant 2 : i64
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tensor.yield %cst : i64
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}
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return %r : f64
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}
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