torch-mlir/.gitignore

*.swp
.cache/
.vscode
.env
*.code-workspace
.ipynb_checkpoints
*.venv/
mlir_venv/
externals/pytorch/
libtorch*

/build/
__pycache__

.pytype


# Pip artifacts.
*.egg-info
*.whl
/wheelhouse

# Bazel
bazel-*

# Autogenerated files
/generated_native_functions.yaml
/generated_backend.hash
/python/torch_mlir/csrc/base_lazy_backend/generated

# Example backend
examples/ltc_backend/ltc_backend/_EXAMPLE_MLIR_BACKEND.cpython-37m-x86_64-linux-gnu.so
Add vim swap file in gitignore Signed-off-by: Bairen Yi <yibairen.byron@bytedance.com> 2021-02-19 09:17:15 +08:00			`*.swp`
Add support for constant_pad_nd Note that to enable folding of the code coming from an example like the ConstantPad2dStaticModule e2e test, support for other operations had to be added/improved: - aten::neg.int - aten::eq.float - aten::eq.str - prim::Uninitialized 2022-01-11 15:42:53 +08:00			`.cache/`
Add stub numpy dialect. 2020-04-27 08:20:58 +08:00			`.vscode`
Update all python imports to be absolute and use a .env file to set the path correctly. This makes things just work for debugging in VSCode. 2020-05-07 14:25:04 +08:00			`.env`
NFC: Add .code-workspace to gitignore. 2021-01-09 02:34:49 +08:00			`*.code-workspace`
Add resnet inference jupyter notebook. This takes the example from torchscript_resnet18_e2e.py and puts it into a slightly cleaned up notebook form. It's still a little rough around the edges. Areas for improvement: - Installation / setup. - API usability. Also, - Add `npcomp-backend-to-iree-frontend-pipeline` since we will be adding more stuff there. - Slight cleanups. 2021-08-10 04:55:20 +08:00			`.ipynb_checkpoints`
Bump llvm-project to 3d92722f74993969243d1400bc3257ca3d03902f. (#369) * Picks up Python configure changes (was pinned to a bad intermediate commit). * Uses the new mlir_configure_python_dev_packages() to ensure CMake python is found consistently. * Fixes the JIT importer to build as a MODULE vs SHARED (needed for linking to Python as a module, per config changes). * Adds some notes to the README to help folks build a smaller set focused just on this project. 2021-10-22 12:09:00 +08:00			`*.venv/`
Set some wheel building optimization options. * Also adds a requirements.txt and updates docs to reference it versus stringy pip install. * Adds doc with instructions on creating a wheel. Fixes #370 2021-10-22 12:18:08 +08:00			`mlir_venv/`
Link against libtorch (#955) This moves torch-mlir to link against libtorch on macOS and linux TESTS: Tests pass. Tested release builds on linux and macOS 2022-07-01 03:40:17 +08:00			`externals/pytorch/`
			`libtorch*`
Add stub numpy dialect. 2020-04-27 08:20:58 +08:00
Build packages for npcomp-torch. * Adds a minimal setup.py for frontends/pytorch * Makes npcomp-core export its headers and libraries * Adds a script to build packages. * Adds CI step to package and smoke test. * Will need some more tweaks and coordination prior to deploying (version locking etc). 2021-07-30 01:43:18 +08:00			`/build/`
Add MLIRContext.dense_elements_attr to create an attribute from a python buffer/array. 2020-05-09 08:36:07 +08:00			`__pycache__`

Expand pytype coverage for torch_signature_ods_gen.py 2020-11-25 02:42:56 +08:00			`.pytype`
Add basic setup.py file for the npcomp-core package. (#256) 2021-07-29 06:58:31 +08:00

			`# Pip artifacts.`
			`*.egg-info`
			`*.whl`
Bring back Python packaging. Will add a CI job that builds and uploads snapshot packages next. 2021-10-06 04:16:12 +08:00			`/wheelhouse`
Add bazel build support (1/N) (#706) This PR adds rules for building the compiler part with bazel, a followup PRs will build the python bindings. 2022-04-07 02:20:39 +08:00
			`# Bazel`
			`bazel-*`
Torch-MLIR LTC Backend Lowering Codegen (#621) * Codegen and build LTC lowering * Add LazyShapeInference header 2022-02-26 08:50:09 +08:00
Added JIT to MLIR lowering (#724) * Added JIT to MLIR lowering Lowering to JIT is performed in a way similar to how it's done in the TS LTC backend. After a jit::Graph is constructed, it gets converted to a jit::Function, which is fed into the existing utility to generate an MlirModule in torch-mlir. * Renamed `csrc/backend` to `csrc/base_lazy_backend` 2022-04-15 00:40:10 +08:00			`# Autogenerated files`
			`/generated_native_functions.yaml`
			`/generated_backend.hash`
Fix LTC Decoupling (#815) * Initial changes * Fix up native functions * Further fix decoupling * Remove unnecessary ops * Formatting and copyright banners: * Add pytorch submodule 2022-05-03 21:35:44 +08:00			`/python/torch_mlir/csrc/base_lazy_backend/generated`

			`# Example backend`
			`examples/ltc_backend/ltc_backend/_EXAMPLE_MLIR_BACKEND.cpython-37m-x86_64-linux-gnu.so`