[mlir][sparse] some leftover cleanup from migration to bufferization dialect
Reviewed By: pifon2a
Differential Revision: https://reviews.llvm.org/D114730
GitOrigin-RevId: 52668355f481c25131be7a1b4e3498ddf3b0f6d2
diff --git a/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td b/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td
index 6ee23ea..4bdfa09 100644
--- a/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td
+++ b/include/mlir/Dialect/SparseTensor/IR/SparseTensorOps.td
@@ -122,9 +122,9 @@
let description = [{
Returns the pointers array of the sparse storage format at the
given dimension for the given sparse tensor. This is similar to the
- `memref.buffer_cast` operation in the sense that it provides a bridge
+ `bufferization.to_memref` operation in the sense that it provides a bridge
between a tensor world view and a bufferized world view. Unlike the
- `memref.buffer_cast` operation, however, this sparse operation actually
+ `bufferization.to_memref` operation, however, this sparse operation actually
lowers into a call into a support library to obtain access to the
pointers array.
@@ -146,9 +146,9 @@
let description = [{
Returns the indices array of the sparse storage format at the
given dimension for the given sparse tensor. This is similar to the
- `memref.buffer_cast` operation in the sense that it provides a bridge
+ `bufferization.to_memref` operation in the sense that it provides a bridge
between a tensor world view and a bufferized world view. Unlike the
- `memref.buffer_cast` operation, however, this sparse operation actually
+ `bufferization.to_memref` operation, however, this sparse operation actually
lowers into a call into a support library to obtain access to the
indices array.
@@ -170,9 +170,9 @@
let description = [{
Returns the values array of the sparse storage format for the given
sparse tensor, independent of the actual dimension. This is similar to
- the `memref.buffer_cast` operation in the sense that it provides a bridge
+ the `bufferization.to_memref` operation in the sense that it provides a bridge
between a tensor world view and a bufferized world view. Unlike the
- `memref.buffer_cast` operation, however, this sparse operation actually
+ `bufferization.to_memref` operation, however, this sparse operation actually
lowers into a call into a support library to obtain access to the
values array.
@@ -196,7 +196,7 @@
def SparseTensor_LexInsertOp : SparseTensor_Op<"lex_insert", []>,
Arguments<(ins AnyTensor:$tensor,
StridedMemRefRankOf<[Index], [1]>:$indices,
- AnyType:$value)> {
+ AnyType:$value)> {
string summary = "Inserts a value into given sparse tensor in lexicograph index order";
string description = [{
Inserts the given value at given indices into the underlying sparse
@@ -226,11 +226,12 @@
"Rematerializes tensor from underlying sparse storage format";
let description = [{
Rematerializes a tensor from the underlying sparse storage format of the
- given tensor. This is similar to the `memref.load` operation in the sense
- that it provides a bridge between a bufferized world view and a tensor
- world view. Unlike the `memref.load` operation, however, this sparse
- operation is used only temporarily to maintain a correctly typed
- intermediate representation during progressive bufferization.
+ given tensor. This is similar to the `bufferization.to_tensor` operation
+ in the sense that it provides a bridge between a bufferized world view
+ and a tensor world view. Unlike the `bufferization.to_tensor` operation,
+ however, this sparse operation is used only temporarily to maintain a
+ correctly typed intermediate representation during progressive
+ bufferization.
The `hasInserts` attribute denote whether insertions to the underlying
sparse storage format may have occurred, in which case the underlying
