mirror of https://github.com/llvm/torch-mlir
6a50efd046
* Adds an op interface for adding CPA constraints. * Adds a type conversion hook for handling built-in types (that we can't have adopt our interface). * Converts tensor<> to object(!Tensor, [e:<type>]) just like NdArray. * Implement a few numpy ops far enough to do dtype inference for simple sequences. |
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| .. | ||
| Basicpy | ||
| NpcompRt | ||
| Numpy | ||
| TCF | ||
| TCP | ||
| CMakeLists.txt | ||