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Show All 27 Lines	let description = [{
pass to generate sparse code fully automatically for all tensor		pass to generate sparse code fully automatically for all tensor
expressions that involve tensors with a sparse encoding. Compiler		expressions that involve tensors with a sparse encoding. Compiler
passes that run before this sparse compiler pass need to be		passes that run before this sparse compiler pass need to be
aware of the semantics of tensor types with such an encoding.		aware of the semantics of tensor types with such an encoding.

Example:		Example:

```mlir		```mlir

#DCSC = #sparse_tensor.encoding<{		#DCSC = #sparse_tensor.encoding<{
dimLevelType = [ "compressed", "compressed" ],		dimLevelType = [ "compressed", "compressed" ],
dimOrdering = affine_map<(i,j) -> (j,i)>,		dimOrdering = affine_map<(i,j) -> (j,i)>,
pointerBitWidth = 32,		pointerBitWidth = 32,
indexBitWidth = 8		indexBitWidth = 8
}>		}>


... tensor<8x8xf64, #DCSR> ...		... tensor<8x8xf64, #DCSC> ...

```		```
}];		}];

// Data in sparse tensor encoding.		// Data in sparse tensor encoding.
let parameters = (		let parameters = (
ins		ins
// A dimension level type for each dimension of a tensor type.		// A dimension level type for each dimension of a tensor type.
// The choices are `dense` (dimension should be stored in its entirety),		// The choices are `dense` (dimension should be stored in its entirety),
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[mlir][sparse] fixed typo in sparse tensor type attribute aliasClosedPublic