Commit graph

8 commits

Author SHA1 Message Date
Justin Chu
faea42af95
Bump ruff to 0.3.2 and black to 24 (#19878)
### Motivation and Context

Routing updates
2024-03-13 10:00:32 -07:00
Justin Chu
0c1a5098dc
Disable PERF* rules in ruff to allow better readability (#16834)
### Description

Disable two PERF* rules in ruff to allow better readability. Rational
commented inline. This change also removes the unused noqa directives
because of the rule change.

### Motivation and Context

Readability
2023-07-25 15:38:22 -07:00
Justin Chu
d79515041c
[Better Engineering] Bump ruff to 0.0.278 and fix new lint errors (#16789)
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at
bottom):
* __->__ #16789

Bump ruff to 0.0.278 and fix new lint errors. I added noqa to all
existing RUF012 errors which requires mutable class variables to be
annotated with `ClassVar`, as well as all PERF issues.

Signed-off-by: Justin Chu <justinchu@microsoft.com>
2023-07-21 12:53:41 -07:00
Justin Chu
d834ec895a
Adopt linrtunner as the linting tool - take 2 (#15085)
### Description

`lintrunner` is a linter runner successfully used by pytorch, onnx and
onnx-script. It provides a uniform experience running linters locally
and in CI. It supports all major dev systems: Windows, Linux and MacOs.
The checks are enforced by the `Python format` workflow.

This PR adopts `lintrunner` to onnxruntime and fixed ~2000 flake8 errors
in Python code. `lintrunner` now runs all required python lints
including `ruff`(replacing `flake8`), `black` and `isort`. Future lints
like `clang-format` can be added.

Most errors are auto-fixed by `ruff` and the fixes should be considered
robust.

Lints that are more complicated to fix are applied `# noqa` for now and
should be fixed in follow up PRs.

### Notable changes

1. This PR **removed some suboptimal patterns**:

	- `not xxx in` -> `xxx not in` membership checks
	- bare excepts (`except:` -> `except Exception`)
	- unused imports
	
	The follow up PR will remove:
	
	- `import *`
	- mutable values as default in function definitions (`def func(a=[])`)
	- more unused imports
	- unused local variables

2. Use `ruff` to replace `flake8`. `ruff` is much (40x) faster than
flake8 and is more robust. We are using it successfully in onnx and
onnx-script. It also supports auto-fixing many flake8 errors.

3. Removed the legacy flake8 ci flow and updated docs.

4. The added workflow supports SARIF code scanning reports on github,
example snapshot:
	

![image](https://user-images.githubusercontent.com/11205048/212598953-d60ce8a9-f242-4fa8-8674-8696b704604a.png)

5. Removed `onnxruntime-python-checks-ci-pipeline` as redundant

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

Unified linting experience in CI and local.

Replacing https://github.com/microsoft/onnxruntime/pull/14306

---------

Signed-off-by: Justin Chu <justinchu@microsoft.com>
2023-03-24 15:29:03 -07:00
Edward Chen
454f77cd94
Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
# Motivation
Currently, ORT minimal builds use kernel def hashes to map from nodes to
kernels to execute when loading the model. As the kernel def hashes must
be known ahead of time, this works for statically registered kernels.
This works well for the CPU EP.
For this approach to work, the kernel def hashes must also be known at
ORT format model conversion time, which means the EP with statically
registered kernels must also be enabled then. This is not an issue for
the always-available CPU EP. However, we do not want to require that any
EP which statically registers kernels is always available too.
Consequently, we explore another approach to match nodes to kernels that
does not rely on kernel def hashes. An added benefit of this is the
possibility of moving away from kernel def hashes completely, which
would eliminate the maintenance burden of keeping the hashes stable.

# Approach
In a full build, ORT uses some information from the ONNX op schema to
match a node to a kernel. We want to avoid including the ONNX op schema
in a minimal build to reduce binary size. Essentially, we take the
necessary information from the ONNX op schema and make it available in a
minimal build.
We decouple the ONNX op schema from the kernel matching logic. The
kernel matching logic instead relies on per-op information which can
either be obtained from the ONNX op schema or another source.
This per-op information must be available in a minimal build when there
are no ONNX op schemas. We put it in the ORT format model.
Existing uses of kernel def hashes to look up kernels are replaced
with the updated kernel matching logic. We no longer store
kernel def hashes in the ORT format model’s session state and runtime
optimization representations. We no longer keep the logic to
generate and ensure stability of kernel def hashes.
2022-09-20 14:24:59 -07:00
Justin Chu
fdce4fa6af
Format all python files under onnxruntime with black and isort (#11324)
Description: Format all python files under onnxruntime with black and isort.

After checking in, we can use .git-blame-ignore-revs to ignore the formatting PR in git blame.

#11315, #11316
2022-04-26 09:35:16 -07:00
Guoyu Wang
5ad6dbb314
Remove experimental from ORT format namespace (#9729)
* schema change

* cc channges

* remove temp debug code

* Adding fbs namespace to session_state_flatbuffers_utils.h

* Add fbs namepsace to all ort format utils
2021-11-11 19:46:30 -08:00
Scott McKay
830d9e54dd
Add script to dump initializer, NodeArg, Node and subgraph info from an ORT format model (#7516) 2021-05-04 08:34:35 +10:00