Commit Graph

7 Commits (58c703010452bfbc5eabef5543058335c2e2f7b2)

Author SHA1 Message Date
Stanley Winata a38b7b72b2 adapt acap_dispatch to latest pytorch nightly ("1.9.0.dev20210215+cpu")
Modify ACAP_Dispatch to work with latest pytorch
-Remove boxed from convolution's m.impl
-Use redispatch and constrainted keyset to replace deprecated
callwithdispatchkey
2021-02-18 11:13:29 -08:00
Sean Silva 689b40c7a6 Add initial TorchScript module importer
It turns out that this was easiest to structure as a general IValue
importer, since torch module are just one of the possible IValue's.

We import the IValue object graph in a braindead fashion into basicpy
ops and a new `torch.nn_module` op that is used to model the
attributes/methods of a torch::jit::Module IValue. See `Torch/ops.mlir`
for an example, and also check out the .py import tests in
`frontends/pytorch/test/module_import`.

As part of this change, a few housekeeping tasks:
- extract some helpers from graph_importer.cpp
- more helpers around the C API
- misc touchups
2021-01-28 11:55:17 -08:00
Stella Laurenzo f6d7ee06ef Make torch_mlir compatible with binary PyTorch installations.
* This has been anticipated for a long time in that it is quite hard to keep C++ binary compatibility across a system landscape as diverse as PyTorch, LLVM, and this project. This is why we based the PyTorch extension on the MLIR and NPCOMP C APIs only: that is the only sane linkage story for the entire matrix.
* Removes the few LLVM'isms in torch_mlir that had snuck in, using either STL or PyTorch support utilities. The new rule here is that LLVM C++ includes are forbidden at this level and (as stated in the design), torch_mlir should use the PyTorch runtime and support libraries (not introduce an incidental C++ dependency on LLVM).
* Also deletes mnist-playground as it was proving impossible to keep the grid of PyTorch vs system ABI divisions functioning. I am open to a less drastic course here (optional/disabled by default?)
* This gets us pretty close to just using PyTorch's extension builder API, which will be nice for distribution (i.e. it integrates well with the PyTorch ecosystem for deployment). I ended up just simplifying the in-tree CMake support for now.
* Fixes #138
2020-12-14 09:51:00 -08:00
Sean Silva b2077738ca Bump llvm-project to 444822d77a7fea28aa49edf24533c987efa1b2ee
Fixes:
- renames StandardTypes -> BuiltinTypes
- std.extract_element -> tensor.extract
2020-12-11 14:43:38 -08:00
Stella Laurenzo b0623b7793 Bump LLVM version to 4f5355ee73626f8b8fe6bf0dd6d167fea7628a2c.
* Incorporates changes around LLVM StringRef.
* Ports fix in upstream pybind11 detection.
* Disables CI hack due to broken pybind detection.
2020-11-24 13:12:04 -08:00
Stella Laurenzo 78a3c90758 Add TorchScript graph importer.
* Does not handle all features yet but should conservatively fail on unsupported things.
* Location tracking is still somewhat mismatched between what TorchScript and MLIR do. Likely need a better heuristic for tracking locations from defs for nodes that do not carry location.
* Sets the ground-work for a specialized/generic split but only implements the generic side.
* Had some evidence that this requires a recent bump of PT nightly (within the last month) to pick up pybind11 2.6, which includes some cross-module symbol fixes (vs the previously sync'd version). No source changes, but older versions fail to cast function types at runtime.
2020-11-23 14:20:09 -08:00
Stella Laurenzo 47ac80491c Delete old PyTorch 1.3 type dispatch oriented code paths.
* We aren't quite at e2e parity, but we aren't going back and the old path is bit-rotted.
2020-11-12 22:27:05 -08:00