torch-mlir/projects/pt1/python/torch_mlir
Rob Suderman f97cd4893f
[torch] Improve shape inference for dynamic shapes (#3091)
Shapes can be processed as tensors to represent the set of dimensions.
As reshapes take a list of scalars this can result in a single dynamic
dimension blocking the adjacent static dimensions.

This pass attempts to de-couple tensor computations related to shapes
and propagate values to better support lowering scalar tensor
computations.
2024-04-02 16:19:57 -07:00
..
_torch_mlir_custom_op_example Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00
csrc Clang format refresh (#2812) 2024-01-29 12:59:33 -05:00
jit_ir_importer [torch] Improve shape inference for dynamic shapes (#3091) 2024-04-02 16:19:57 -07:00
_dynamo_fx_importer.py Add stateless fx graph import (#3036) 2024-03-21 14:44:54 -07:00
_version.py Re-organize project structure to separate PyTorch dependencies from core project. (#2542) 2023-11-02 19:45:55 -07:00
compiler_utils.py [torch-mlir][NFC] remove trailing whitespace (#2936) 2024-02-20 11:23:14 -08:00
dynamo.py [torch-mlir][NFC] remove trailing whitespace (#2936) 2024-02-20 11:23:14 -08:00
torchscript.py Converts all Adaptive Pooling Ops to Linalg (#2808) 2024-03-22 11:05:20 -07:00