This also allows tensor.empty in the "conversion" path of the sparse
compiler, further paving the way to
deprecate the bufferization.allocated_tensor() op.
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
This adds the capability to vectorize computations like a[i] = i.
This also generalizes the supported unary and binary ops and
adds a test for each to ensure actual SIMD code can result.
Reviewed By: bixia
Differential Revision: https://reviews.llvm.org/D138956
