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torch-mlir
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6 Commits (c695db7ae72c63c9e366779297c1d9235860f58c)

Author SHA1 Message Date
Stella Laurenzo 5aa2f0f9f6 Add a trivial copy elision canonicalization on ndarray->tensor. 
* This elides the very common code the compiler adds for chaining otherwise tensor-related numpy ops together.
* More aggressive canonicalizations would require more advanced analysis.
 2020-07-05 18:09:43 -07:00
Stella Laurenzo 504e3c4946 Fixup local ndarray<->tensor transforms to preserve shape. 
* Preserving shape across the copy ops makes more thing shaped by default.
* Inference of ndarray types will now preserve the shape when specializing the dtype.
 2020-07-05 17:45:45 -07:00
Stella Laurenzo fae15ec5e7 Allow the ndarray type to carry a shape. 2020-07-05 17:34:03 -07:00
Stella Laurenzo dc271dfb87 Complete the basic spike to perform dtype inference. 
* Correctly infers the unknown dtypes that emit as part of compilation for the simple ufunc case.
* Significant more testing needs to be done on the details now that the pass is minimally functional.
* The actual pass itself is still too hacky/not general, but the underlying analysis is further along.
 2020-07-05 16:09:16 -07:00
Stella Laurenzo f66f4d7ef8 Update for renamed pass. 2020-07-04 17:43:04 -07:00
Stella Laurenzo 34861b18f4 Add NdArray type inference conversion. 2020-07-03 16:38:10 -07:00