Morph MORPH
SIGN IN SIGN UP
microsoft / onnxruntime UNCLAIMED

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

0 0 30 C++
Normal View History Raw
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
.. _l-example-backend-api:
ONNX Runtime Backend for ONNX
=============================
replace 'master' branch ref to 'main' for onnx repo (#12678)
2022-08-30 13:41:42 -07:00
*ONNX Runtime* extends the
`onnx backend API <https://github.com/onnx/onnx/blob/main/docs/ImplementingAnOnnxBackend.md>`_
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
to run predictions using this runtime.
Let's use the API to compute the prediction
of a simple logistic regression model.
"""
Use ruff as the formatter to replace black-isort (#23397) Use ruff as the code formatter in place of black and isort since it is much faster, and as projects like PyTorch and ONNX have adopted ruff format as well. This PR include only auto-fixed changes in formatting.
2025-01-16 11:14:15 -08:00
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
import numpy as np
from onnx import load
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
import onnxruntime.backend as backend
Add auto doc gen for ORTModule API during CI build (#7046) In addition to ORTModule auto documentation during packaging, this PR also update golden numbers to fix CI
2021-03-22 10:20:33 -07:00
########################################
# The device depends on how the package was compiled,
# GPU or CPU.
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
from onnxruntime import datasets, get_device
from onnxruntime.capi.onnxruntime_pybind11_state import InvalidArgument
Add auto doc gen for ORTModule API during CI build (#7046) In addition to ORTModule auto documentation during packaging, this PR also update golden numbers to fix CI
2021-03-22 10:20:33 -07:00
device = get_device()
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
name = datasets.get_example("logreg_iris.onnx")
model = load(name)
Add auto doc gen for ORTModule API during CI build (#7046) In addition to ORTModule auto documentation during packaging, this PR also update golden numbers to fix CI
2021-03-22 10:20:33 -07:00
rep = backend.prepare(model, device)
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
x = np.array([[-1.0, -2.0]], dtype=np.float32)
update python examples (#1935)
2019-09-26 20:25:59 +02:00
try:
label, proba = rep.run(x)
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
print(f"label={label}")
print(f"probabilities={proba}")
update python examples (#1935)
2019-09-26 20:25:59 +02:00
except (RuntimeError, InvalidArgument) as e:
print(e)
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
########################################
# The backend can also directly load the model
# without using *onnx*.
Add auto doc gen for ORTModule API during CI build (#7046) In addition to ORTModule auto documentation during packaging, this PR also update golden numbers to fix CI
2021-03-22 10:20:33 -07:00
rep = backend.prepare(name, device)
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
x = np.array([[-1.0, -2.0]], dtype=np.float32)
update python examples (#1935)
2019-09-26 20:25:59 +02:00
try:
label, proba = rep.run(x)
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
print(f"label={label}")
print(f"probabilities={proba}")
update python examples (#1935)
2019-09-26 20:25:59 +02:00
except (RuntimeError, InvalidArgument) as e:
print(e)
Initial bootstrap commit.
2018-11-19 16:48:22 -08:00
#######################################
# The backend API is implemented by other frameworks
# and makes it easier to switch between multiple runtimes
# with the same API.
Reference in New Issue Copy Permalink