| commit | a10d67f9fb559d0c35a12b2d26974636bbf642c0 | [log] [tgz] |
|---|---|---|
| author | Yinying Li <yinyingli@google.com> | Wed Apr 24 16:20:25 2024 -0700 |
| committer | GitHub <noreply@github.com> | Wed Apr 24 16:20:25 2024 -0700 |
| tree | c8ff5b9191911469a77591a24c20b345d062909b | |
| parent | 49586eacd306c70f81986644921e12e55dd7422f [diff] |
[mlir][sparse] Enable explicit and implicit value in sparse encoding (#88975)
1. Explicit value means the non-zero value in a sparse tensor. If
explicitVal is set, then all the non-zero values in the tensor have the
same explicit value. The default value Attribute() indicates that it is
not set.
2. Implicit value means the "zero" value in a sparse tensor. If
implicitVal is set, then the "zero" value in the tensor is equal to the
implicit value. For now, we only support `0` as the implicit value but
it could be extended in the future. The default value Attribute()
indicates that the implicit value is `0` (same type as the tensor
element type).
Example:
```
#CSR = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : dense, d1 : compressed),
posWidth = 64,
crdWidth = 64,
explicitVal = 1 : i64,
implicitVal = 0 : i64
}>
```
Note: this PR tests that implicitVal could be set to other values as
well. The following PR will add verifier and reject any value that's not
zero for implicitVal.
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