Commit Graph

7 Commits

Author SHA1 Message Date
jjsjann123
e096bca5f9 adding symbolic link to get CI to run tests where cmake is not run on CI node (#95402)
Fixes #95155 which breaks CI and no nvfuser python tests are run on CI nodes.

Thanks to @davidberard98 for noticing this.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/95402
Approved by: https://github.com/davidberard98
2023-03-01 19:01:18 +00:00
jjsjann123
7b403c8c75 Nvfuser moving python tests and files under nvfuser (#95155)
1. Moving `test_jit_cuda_fuser.py` `test_nvfuser_dynamo.py` `test_nvfuser_frontend.py` under `third_party/nvfuser/python_tests/`.
2. Moving `nvfuser/__init__.py` to `third_party/nvfuser/python/`.
3. Leaving dummy test scripts under `./test/` for CI.
4. Patching `torch/_prims/nvfuser_prims.py` for view/reshape renaming in nvfuser
5. Installing `third_party/nvfuser/python` and `third_party/nvfuser/python_tests` to pytorch root/test directy.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/95155
Approved by: https://github.com/davidberard98
2023-02-21 19:27:24 +00:00
jjsjann123
c11b301bcd [NVFUSER] refactor nvfuser build (#89621)
This PR is the first step towards refactors the build for nvfuser in order to have the coegen being a standalone library.

Contents inside this PR:
1. nvfuser code base has been moved to `./nvfuser`, from `./torch/csrc/jit/codegen/cuda/`, except for registration code for integration (interface.h/interface.cpp)
2. splits the build system so nvfuser is generating its own `.so` files. Currently there are:
    - `libnvfuser_codegen.so`, which contains the integration, codegen and runtime system of nvfuser
    - `nvfuser.so`, which is nvfuser's python API via pybind. Python frontend is now exposed via `nvfuser._C.XXX` instead of `torch._C._nvfuser`
3. nvfuser cpp tests is currently being compiled into `nvfuser_tests`
4. cmake is refactored so that:
    - nvfuser now has its own `CMakeLists.txt`, which is under `torch/csrc/jit/codegen/cuda/`.
    - nvfuser backend code is not compiled inside `libtorch_cuda_xxx` any more
    - nvfuser is added as a subdirectory under `./CMakeLists.txt` at the very end after torch is built.
    - since nvfuser has dependency on torch, the registration of nvfuser at runtime is done via dlopen (`at::DynamicLibrary`). This avoids circular dependency in cmake, which will be a nightmare to handle. For details, look at `torch/csrc/jit/codegen/cuda/interface.cpp::LoadingNvfuserLibrary`

Future work that's scoped in following PR:
- Currently since nvfuser codegen has dependency on torch, we need to refactor that out so we can move nvfuser into a submodule and not rely on dlopen to load the library. @malfet
- Since we moved nvfuser into a cmake build, we effectively disabled bazel build for nvfuser. This could impact internal workload at Meta, so we need to put support back. cc'ing @vors

Pull Request resolved: https://github.com/pytorch/pytorch/pull/89621
Approved by: https://github.com/davidberard98
2023-01-26 02:50:44 +00:00
Ivan Yashchuk
9ebb8d5232 Add ops.broadcast for nvFuser (#88080)
Having nvFuser's `broadcast` available alongside `broadcast_in_dim` would allow easier experimentation.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/88080
Approved by: https://github.com/jjsjann123, https://github.com/kevinstephano, https://github.com/mruberry
2022-11-02 10:05:12 +00:00
Kevin Stephano
b8418e02eb Create Cache for Fusion Reuse in NVFuser in Python Frontend for Primtorch (#85045)
This PR does the following:

- Replaces the `FusionOwner` with a `FusionCache` and `FusionInterface`.  The `FusionCache` is a singleton that contains a cache of Fusions based on the `FusionDefinition`.  It replaces the TorchScript graph caching that looked up a Fusion based on a stringified and canonicalized representation of the TorchScript graph with a prefix tree of statements in the `FusionDefinition`.  The `FusionInterface` is an object that represents a Fusion in python.  It can also query the cache based on id.
- The ability to print out a mechanically derived definition, in python, for the user to use when debugging was added.
- Replaces the python `examples` directory with true python tests under `test/test_nvfuser_frontend.py`.
- Adds a set of C++ tests under the `test` directory to verify the `FusionCache`, `FusionDefinition`, and parts of the `RecordFunctor` child classes.
- Adds a README file to explain how to use the Python Frontend

While there are 3,000+ line edits, the bulk of the changes were repetitive line changes to the python bindings for each operation.

An identical PR to #83267 to avoid tooling issues.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/85045
Approved by: https://github.com/davidberard98
2022-09-17 10:52:54 +00:00
PyTorch MergeBot
94b67f4cd8 Revert "Create Cache for Fusion Reuse in NVFuser in Python Frontend for Primtorch (#83267)"
This reverts commit ec916bf6af.

Reverted https://github.com/pytorch/pytorch/pull/83267 on behalf of https://github.com/facebook-github-bot due to Diff reverted internally
2022-09-14 17:40:22 +00:00
Kevin Stephano
ec916bf6af Create Cache for Fusion Reuse in NVFuser in Python Frontend for Primtorch (#83267)
This PR does the following:

- Replaces the `FusionOwner` with a `FusionCache` and `FusionInterface`.  The `FusionCache` is a singleton that contains a cache of Fusions based on the `FusionDefinition`.  It replaces the TorchScript graph caching that looked up a Fusion based on a stringified and canonicalized representation of the TorchScript graph with a prefix tree of statements in the `FusionDefinition`.  The `FusionInterface` is an object that represents a Fusion in python.  It can also query the cache based on id.
- The ability to print out a mechanically derived definition, in python, for the user to use when debugging was added.
- Replaces the python `examples` directory with true python tests under `test/test_nvfuser_frontend.py`.
- Adds a set of C++ tests under the `test` directory to verify the `FusionCache`, `FusionDefinition`, and parts of the `RecordFunctor` child classes.
- Adds a README file to explain how to use the Python Frontend

While there are 3,000+ line edits, the bulk of the changes were repetitive line changes to the python bindings for each operation.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/83267
Approved by: https://github.com/jjsjann123, https://github.com/davidberard98
2022-09-13 23:28:39 +00:00