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openvino
tests/e2e_tests/common/model_loader/load_pytorch_model.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import logging as log import os import torch from e2e_tests.test_utils.pytorch_loaders import * from e2e_tests.common.model_loader.provider import ClassProvider class PyTorchModelLoader(ClassProvider): """PyTorch models loader ru...
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1,682
openvino
tests/e2e_tests/common/infer/provider.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import inspect from e2e_tests.test_utils.test_utils import log_timestamp from e2e_tests.common.common.base_provider import BaseProvider, BaseStepProvider class ClassProvider(BaseProvider): registry = {} @classmethod def va...
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openvino
tests/e2e_tests/common/infer/__init__.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from .dummy_infer_class import use_dummy from .provider import StepProvider try: from .common_inference import Infer except ImportError as e: Infer = use_dummy('ie_sync', str(e))
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271
openvino
tests/e2e_tests/common/infer/common_inference.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Inference engine runners.""" # pylint:disable=import-error import logging as log import os import platform import sys from pprint import pformat import numpy as np from e2e_tests.utils.test_utils import align_input_names, get_shapes_...
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openvino
tests/e2e_tests/common/infer/dummy_infer_class.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Dummy infer provider to be used when real provider is unavailable due to absence of IE Python API e.g. for IR collection environment """ from .provider import ClassProvider def use_dummy(name, message): class DummyInfer(ClassPr...
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openvino
tests/e2e_tests/common/infer/network_modifiers/container.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import inspect from e2e_tests.common.common.base_provider import BaseProvider class ClassProvider(BaseProvider): registry = {} @classmethod def validate(cls): methods = [ f[0] for f in inspect.getmember...
31
914
openvino
tests/e2e_tests/common/infer/network_modifiers/network_modifiers.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """IE network modifiers applied to IE network.""" import logging as log import sys from e2e_tests.utils.test_utils import align_input_names from e2e_tests.common.test_utils import get_shapes_from_data, convert_shapes_to_partial_shape f...
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openvino
tests/e2e_tests/common/common/pipeline.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import e2e_tests.common.readers import e2e_tests.common.preprocessors import e2e_tests.common.preprocessors_tf_hub import e2e_tests.common.ir_provider import e2e_tests.common.infer import e2e_tests.common.postprocessors import e2e_tests....
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openvino
tests/e2e_tests/common/common/base_provider.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 class BaseProviderMeta(type): def __new__(mcs, name, bases, attrs, **kwargs): cls = super().__new__(mcs, name, bases, attrs) # do not create container for abstract provider if '_is_base_provider' in attrs: ...
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openvino
tests/e2e_tests/common/common/dummy_comparator.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from collections import OrderedDict from e2e_tests.common.common.common_base_class import CommonConfig from e2e_tests.pipelines.pipeline_templates.comparators_template import dummy_comparators from e2e_tests.pipelines.pipeline_templates...
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openvino
tests/e2e_tests/common/common/e2e_utils.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from openvino import Core, Model import torch from typing import Any import logging log = logging.getLogger(__name__) def collect_tensor_names(instance: Model, tensor_type_name: str, out: dict) -> dict: """ @param instance: Re...
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openvino
tests/e2e_tests/common/common/common_base_class.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import re from copy import deepcopy from pathlib import Path from tempfile import TemporaryDirectory from logging import getLogger import numpy as np import pytest from e2e_tests.test_utils.path_utils import resolve_file_path...
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openvino
tests/e2e_tests/common/readers/provider.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import inspect from e2e_tests.common.common.base_provider import BaseProvider, BaseStepProvider class ClassProvider(BaseProvider): registry = {} @classmethod def validate(cls): methods = [ f[0] for f i...
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openvino
tests/e2e_tests/common/readers/readers.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """File readers.""" # pylint:disable=no-member import numpy as np import cv2 import logging as log import sys from copy import deepcopy from e2e_tests.test_utils.path_utils import resolve_file_path from e2e_tests.test_utils.tf_hub_utils...
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openvino
tests/e2e_tests/common/plugins/reshape_tests/conftest.py
.py
import inspect import itertools import logging as log import os import sys import traceback from contextlib import contextmanager from copy import copy, deepcopy from types import SimpleNamespace import pytest import yaml import e2e_tests.common.plugins.common.base_conftest as base from e2e_tests.test_utils.reshape_t...
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openvino
tests/e2e_tests/common/plugins/common/base_conftest.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Local pytest plugins shared code.""" import importlib.util import inspect import os from fnmatch import fnmatch from glob import glob from inspect import getsourcefile from _pytest.mark import MarkDecorator from e2e_tests.common.pyt...
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openvino
tests/e2e_tests/common/plugins/common/conftest.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Basic high-level plugin file for pytest. See [Writing plugins](https://docs.pytest.org/en/latest/writing_plugins.html) for more information. This plugin adds the following command-line options: * `--modules` - Paths to modules to ...
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openvino
tests/e2e_tests/common/plugins/ref_collect/conftest.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Local pytest plugin for reference collection.""" import logging as log import yaml import e2e_tests.common.plugins.common.base_conftest as base from e2e_tests.common.env_utils import fix_env_conf from e2e_tests.test_utils.env_tools...
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openvino
tests/e2e_tests/common/plugins/e2e_test/conftest.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Local pytest plugin for tests execution.""" import inspect import itertools import logging as log # pylint:disable=import-error import re import os import sys import traceback from copy import copy from pathlib import Path import py...
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openvino
tests/e2e_tests/common/postprocessors/provider.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import inspect import torch from e2e_tests.common.common.base_provider import BaseProvider, BaseStepProvider class ClassProvider(BaseProvider): registry = {} @classmethod def validate(cls): methods = [ ...
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openvino
tests/e2e_tests/common/postprocessors/ctc.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """CTC output postprocessor""" import string import numpy as np from tensorflow.keras import backend as k from .provider import ClassProvider class ParseCTCOutput(ClassProvider): """Transforms CTC output to dictionary {"predictio...
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openvino
tests/e2e_tests/common/postprocessors/filters.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import numpy as np from .provider import ClassProvider class FilterByLabels(ClassProvider): __action_name__ = 'classes_filter' def __init__(self, config): self.classes = config.get("classes", []) def apply(self, d...
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openvino
tests/e2e_tests/common/postprocessors/semantic_segmentation.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Semantic segmentation postprocessor""" from .provider import ClassProvider import numpy as np import logging as log class ParseSemanticSegmentation(ClassProvider): """Semantic segmentation parser""" __action_name__ = "parse_...
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openvino
tests/e2e_tests/common/postprocessors/classification.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Classification postprocessor.""" from .provider import ClassProvider import numpy as np from collections import OrderedDict class ParseClassification(ClassProvider): """Classification parser.""" __action_name__ = "parse_clas...
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openvino
tests/e2e_tests/common/postprocessors/mask_rcnn.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Mask RCNN postprocessor""" import logging as log import sys import cv2 import numpy as np from .provider import ClassProvider class ParseMaskRCNN(ClassProvider): """Semantic segmentation parser returns new "score" layer, c...
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openvino
tests/e2e_tests/common/postprocessors/image_modifications.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Postprocessor for image modification tasks such as super-resolution, style transfer. It takes normalized image and converts it back to colored picture""" from .provider import ClassProvider import numpy as np import logging as log ...
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openvino
tests/e2e_tests/common/postprocessors/common.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Common postprocessors.""" import numpy as np from e2e_tests.common.preprocessors.preprocessors import SliceData, Normalize, CustomPreproc, RemoveLayersFromInputData, \ RenameInputs, Squeeze from .provider import ClassProvider c...
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openvino
tests/e2e_tests/common/postprocessors/object_detection.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Object detection postprocessor.""" import logging as log import numpy as np from .provider import ClassProvider class ParseBeforeODParser(ClassProvider): """Prepare the pipeline output to right state before parse_object_detect...
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openvino
tests/e2e_tests/common/postprocessors/YOLO.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import math import numpy as np from .provider import ClassProvider PRECOMPUTED_ANCHORS = { 'yolo_v2': [1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071], 'tiny_yolo_v2': [1.08, 1.19, 3.42...
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openvino
tests/e2e_tests/common/comparator/provider.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import inspect from e2e_tests.common.common.base_provider import BaseProvider class ClassProvider(BaseProvider): __step_name__ = "compare" registry = {} @classmethod def validate(cls): methods = [ f...
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openvino
tests/e2e_tests/common/comparator/container.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Postprocessors and comparators container. Applies specified postprocessors to reference and IE results. Applies specified comparators to reference and IE results. Typical flow: 1. Initialize with `config` that specifies comparators...
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openvino
tests/e2e_tests/common/comparator/ocr.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Optical character recognition output comparator. Compares reference and IE model results for top-N paths. Basic result example: list of paths with probabilities """ import logging as log import sys from .threshold_utils import get_...
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openvino
tests/e2e_tests/common/comparator/threshold_utils.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import sys import logging as log # default thresholds for comparators DEFAULT_THRESHOLDS = { "FP32": (1e-4, 1e-4, None), "BF16": (2, 2, None), "FP16": (0.01, 2, None) } DEFAULT_IOU_THRESHOLDS = { "FP32": 0.9, "BF16"...
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openvino
tests/e2e_tests/common/comparator/ssim.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import logging as log import sys import numpy as np from skimage.metrics import structural_similarity as ssim from .provider import ClassProvider from e2e_tests.common.comparator.threshold_utils import get_default_ssim_threshold class...
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openvino
tests/e2e_tests/common/comparator/semantic_segmentation.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import logging as log import sys import numpy as np from e2e_tests.common.table_utils import make_table from .provider import ClassProvider from e2e_tests.common.comparator.threshold_utils import get_default_iou_threshold class Seman...
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openvino
tests/e2e_tests/common/comparator/classification.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Classification results comparator. Compares reference and IE models results for top-N classes (usually, top-1 or top-5). Basic result example: list of 1000 class probabilities for ImageNet classification dataset. """ import logging ...
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openvino
tests/e2e_tests/common/comparator/dummy.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import logging as log from e2e_tests.common.table_utils import make_table from .provider import ClassProvider import sys class Dummy(ClassProvider): __action_name__ = "dummy" log.basicConfig( format="[ %(levelname)s ] ...
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openvino
tests/e2e_tests/common/comparator/ssim_4d.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import logging as log import sys from statistics import mean from skimage.metrics import structural_similarity as ssim from .provider import ClassProvider from e2e_tests.common.comparator.threshold_utils import get_default_ssim_thresho...
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openvino
tests/e2e_tests/common/comparator/eltwise.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import logging as log import re import sys import numpy as np from e2e_tests.common.table_utils import make_table from .provider import ClassProvider from .threshold_utils import get_default_thresholds class EltwiseComparator(ClassPr...
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openvino
tests/e2e_tests/common/comparator/object_detection.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import copy import logging as log import sys from collections import OrderedDict import numpy as np from .threshold_utils import get_default_thresholds, get_default_iou_threshold from e2e_tests.common.table_utils import make_table from...
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openvino
tests/e2e_tests/common/preprocessors/provider.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import inspect import numpy as np import torch from e2e_tests.common.common.base_provider import BaseProvider, BaseStepProvider class ClassProvider(BaseProvider): registry = {} @classmethod def validate(cls): met...
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openvino
tests/e2e_tests/common/preprocessors/preprocessors.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Data preprocessors applied to target layers in given data dictionary.""" import logging as log import sys # pylint:disable=no-member import cv2 import numpy as np from e2e_tests.test_utils.path_utils import resolve_file_path from .p...
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openvino
tests/e2e_tests/common/preprocessors/transformers.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 from .provider import ClassProvider import cv2 from random import randint import numpy as np import logging as log import sys log.basicConfig(format="[ %(levelname)s ] %(message)s", level=log.INFO, stream=sys.stdout) class CVFlip(Clas...
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openvino
tests/conditional_compilation/test_cc.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Test conditional compilation. """ import glob import logging import os import sys from pathlib import Path import numpy as np import pytest from proc_utils import cmd_exec # pylint: disable=import-error fr...
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openvino
tests/conditional_compilation/test_utils.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Utility functions for work with json test configuration file. """ import os import json import multiprocessing import sys from inspect import getsourcefile from pathlib import Path from install_pkg import get_...
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openvino
tests/conditional_compilation/conftest.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # pylint: disable=line-too-long """Pytest configuration for compilation tests.""" import json import logging import sys from inspect import getsourcefile from pathlib import Path # add utils folder to imports sy...
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openvino
tests/conditional_compilation/tools/infer_tool.py
.py
# !/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # pylint:disable=invalid-name,no-name-in-module,logging-format-interpolation,redefined-outer-name """ Tool for running inference and storing results in npz files. """ import argparse import logging as log import...
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openvino
tests/utils/utils.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """Utility module.""" from pathlib import Path import yaml from pymongo import MongoClient from copy import deepcopy import requests import logging import re # constants DATABASES = ['timetests', 'memorytests'] DB_COLLECTIONS = ["comm...
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3,452
openvino
tests/utils/proc_utils.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Common utilities for working with processes. """ import logging import subprocess def cmd_exec(args, timeout=None, env=None, log=None, verbose=True, shell=False): """ Run cmd using subprocess with loggi...
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openvino
tests/utils/path_utils.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Common utilities for working with paths """ import argparse import os import sys from pathlib import Path # add utils folder to imports UTILS_DIR = os.path.dirname(os.path.abspath(__file__)) sys.path.insert(...
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1,592
openvino
tests/utils/platform_utils.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Common utilities for working with OSes or platforms """ import platform import subprocess import sys from enum import Enum import distro class UnsupportedOsError(Exception): """Exception for unsupporte...
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openvino
tests/utils/install_pkg.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Common utilities for OpenVINO install package. """ import errno import os from pathlib import Path import subprocess import sys def get_openvino_environment(install_prefix: Path): """ Get OpenVINO enviro...
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openvino
tests/stress_tests/scripts/get_testdata.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Script to acquire model IRs for stress tests. Usage: ./scrips/get_testdata.py """ # pylint:disable=line-too-long import argparse import json import logging as log import os import shutil import subprocess imp...
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openvino
tests/stress_tests/scripts/run_memcheck.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ This script runs memcheck tests isolated with help of gtest_parallel. It can upload memory measurment results to database and generate reports. """ import argparse import json import logging import os import ...
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openvino
tests/stress_tests/scripts/memcheck_upload.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Upload metrics gathered by MemCheckTests into Mongo DB Usage: ./scrips/memcheck_upload.py https://ci.intel.com/job/memchek/1234/ \ ./gtest-parallel-logs/**/*.log \ --artifact_root ./gtest-parallel-logs --dryrun """ import a...
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openvino
tests/stress_tests/scripts/compare_memcheck_2_runs.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 """ Create comparison table based on MemCheckTests results from 2 runs Usage: ./scrips/compare_memcheck_2_runs.py cur_source ref_source \ --db_collection collection_name --out_file file_name """ # pylint:di...
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openvino
tests/fuzz/scripts/init_corpus.py
.py
#!/usr/bin/env python3 # Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # Sample usage: # ./scripts/init_corpus.py ./paddle_layer_models/**/*.pdmodel --join pdiparams # mkdir -p corpus && find ./paddle_layer_models/ -name "*.fuzz" -exec cp \{\} .//import_paddle-corpus \; import ar...
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openvino
scripts/utils/utils.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import subprocess # nosec B404 import tarfile from datetime import datetime from shutil import copyfile, copytree, rmtree major_version = 0 minor_version = 3 class Automation: @staticmethod def parse_bom(bom_path): ...
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openvino
thirdparty/itt_collector/runtool/sea_runtool.py
.py
# Intel® Single Event API # # This file is provided under the BSD 3-Clause license. # Copyright (c) 2021, Intel Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: # Redistri...
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openvino
thirdparty/itt_collector/runtool/sea.py
.py
# Intel® Single Event API # # This file is provided under the BSD 3-Clause license. # Copyright (c) 2021, Intel Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: # Redistri...
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openvino
thirdparty/itt_collector/runtool/python_compat.py
.py
# Intel® Single Event API # # This file is provided under the BSD 3-Clause license. # Copyright (c) 2021, Intel Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: # Redistri...
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openvino
thirdparty/itt_collector/runtool/exporters/Stat.py
.py
# Intel® Single Event API # # This file is provided under the BSD 3-Clause license. # Copyright (c) 2021, Intel Corporation # All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: # Redistri...
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openvino
src/frontends/tensorflow_lite/tests/test_models/gen_wrapper.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import subprocess import sys if len(sys.argv) < 4: print("Script[model in pbtxt format], output folder and mark file must be specified as arguments", str(sys.argv)) exit(1) gen_script = sys.argv[1] out_folder = sys.ar...
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openvino
src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_oob_builtin_opcode.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # SDL505 fuzzing finding: generate minimal .tflite models with out-of-bounds # builtin operator codes to test that the frontend rejects them cleanly (CWE-125). # # oob_deprecated_builtin_code.tflite — deprecated_builtin_code=-1 (0xFF as ...
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openvino
src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_malformed_tensor_name.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # Generate a crafted .tflite model whose Tensor.name field is absent. # # In the FlatBuffer schema for TensorFlow Lite, every table field is implicitly # optional - the field is absent when its vtable slot offset is 0. The schema- # gene...
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openvino
src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_2in_2out.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import numpy as np import os import sys # do not print messages from TensorFlow os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' import tensorflow as tf tf.compat.v1.reset_default_graph() # Create the graph and model with tf.compat.v1.Session...
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openvino
src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_bad_header.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import sys path_to_model_dir = os.path.join(sys.argv[1], "bad_header") if not os.path.exists(path_to_model_dir): os.makedirs(path_to_model_dir, exist_ok=True) # Correct FOURCC is 'TFL3', it should be in first 4 bytes or #...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_quantize.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import sys import tensorflow as tf # Model: # (float32)tensor_0[12] -> QUANTIZE -> (int8)tensor_1[12] # QUANTIZE: # scale: 0.25 # zero point: 16 sm_path = os.path.join(sys.argv[1], "quantize_int8") tflite_model = b'\x08\x...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_malformed_indices.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # Generate crafted .tflite model files with out-of-bounds tensor/buffer/opcode indices. # These models test that the TFLite frontend properly validates all FlatBuffer # vector indices before use, preventing CWE-125 (Out-of-bounds Read). ...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_dequantize.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import struct import sys import flatbuffers from flatbuffers import builder as flatbuffers_builder import tensorflow as tf # Create the graph and model class SampleGraph(tf.Module): def __init__(self): super(SampleGrap...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_sparse_oob.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # Generates malicious .tflite files for testing sparse tensor index validation. # These files are structurally valid FlatBuffers but contain semantically invalid # sparse index values that should be rejected during deserialization. # # T...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_densify.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import sys import tensorflow as tf # Create the graph and model class SampleGraph(tf.Module): def __init__(self): super(SampleGraph, self).__init__() self.var1 = tf.constant([[[[0,0,1,0],[0,0,0,0],[0,2,1,0]],[[0,0,0...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_oob_quantized_dimension.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # Generate crafted .tflite model files with out-of-bounds quantized_dimension # field values. These models test that the TFLite frontend properly validates # the quantized_dimension field in QuantizationParameters before using it as # a ...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_sparse_incomplete.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # WHAT: # Generates a family of small .tflite test models in which a constant # tensor carries a non-null SparsityParameters table with sub-fields that # are either incomplete (missing/empty traversal_order, dim_metadata, # dim_f...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_bad_buffer_size.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import struct import sys class FlatBufferBuilder: """Minimal FlatBuffer builder for crafting test .tflite files.""" def __init__(self, initial_size=8192): self.buf = bytearray(initial_size) self.head ...
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src/frontends/tensorflow_lite/tests/test_models/gen_scripts/generate_qdq.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import sys import tensorflow as tf # Model: # (float32)tensor_0[12] -> QUANTIZE -> (int8)tensor[12] -> DEQUANTIZE -> (float32)tensor_1[12] # QUANTIZE: # scale: 0.25 # zero point: 16 sm_path = os.path.join(sys.argv[1], "qd...
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openvino
src/frontends/pytorch/src/scripts/get_supported_ops.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import os import re def get_ops_in_specific_map(map_name: str, lines: list) -> list: ops = [] start_found = False for line in lines: if start_found: if "};" in line: break res...
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src/frontends/paddle/tests/paddle_pip_check.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import re import sys import os from importlib.metadata import PackageNotFoundError, version as _installed_version from packaging.requirements import Requirement req_file=sys.argv[1] constraints = {} constraints_path = [] requirements ...
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src/frontends/paddle/tests/test_models/gen_wrapper.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import glob import os import subprocess import sys print(sys.argv) if len(sys.argv) < 3: print("Gen folder and output folder must be specified as arguments") sys.exit(1) gen_folder = sys.argv[1] out_folder = sys.argv[2] mark_fi...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_softmax.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # softmax paddle model generator # import numpy as np import sys from save_model import saveModel def softmax(name: str, x, axis): import paddle paddle.enable_static() node_x = paddle.static.data(name='x', shape=x.shape,...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_index_select.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # index_select paddle model generator # import numpy as np from save_model import saveModel import paddle import sys data_type = "float32" def index_select(name: str, x, index, axis): paddle.enable_static() with paddle.stat...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_grid_sampler.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # grid_sampler paddle model generator # import paddle import numpy as np from save_model import saveModel import sys def grid_sampler(name: str, x, grid, mode="bilinear", padding_mode="zeros", align_corners=True, not_empty=True, ...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_not_equal.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # not_equal paddle model generator # import numpy as np from save_model import saveModel import sys def not_equal(name: str, x, y, data_type, cast_to_fp32=False): import paddle paddle.enable_static() with paddle.static.pr...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_full.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # fill_const paddle model generator # import numpy as np from save_model import saveModel import paddle import sys def full(name : str, shape : list, dtype, value): paddle.enable_static() with paddle.static.program_guard(padd...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_prod.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # reduce_prod paddle model generator # import numpy as np import sys from save_model import saveModel def reduce_prod(name : str, x, axis=None, keepdim=False): import paddle paddle.enable_static() with paddle.static.pro...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_2in_2out_dynbatch.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import paddle import numpy as np import os import sys from save_model import saveModel if paddle.__version__ >= '2.6.0': import paddle.base as fluid else: from paddle import fluid paddle.enable_static() inp_blob1 = np.random....
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src/frontends/paddle/tests/test_models/gen_scripts/generate_tensorarray.py
.py
import os import sys import numpy as np import paddle from save_model import exportModel """""""""""""""""""""""""""""""""""""""""""""""""""""" # tensorarray case: conditional_block + slice[0] """""""""""""""""""""""""""""""""""""""""""""""""""""" def test_conditional_block_slice0(): def test(model_name, inputs:...
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openvino
src/frontends/paddle/tests/test_models/gen_scripts/generate_dropout.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # pool2d paddle model generator # import numpy as np from save_model import saveModel import sys def paddle_dropout(name : str, x, p, paddle_attrs): import paddle paddle.enable_static() with paddle.static.program_guard(p...
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openvino
src/frontends/paddle/tests/test_models/gen_scripts/generate_gelu.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # gelu paddle model generator # import numpy as np from save_model import saveModel import paddle import sys data_type = 'float32' def gelu(name:str, x, approximate=False): paddle.enable_static() with paddle.static.program_g...
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openvino
src/frontends/paddle/tests/test_models/gen_scripts/generate_shape.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # pool2d paddle model generator # import numpy as np from save_model import saveModel import sys def paddle_shape(name : str, x): import paddle paddle.enable_static() with paddle.static.program_guard(paddle.static.Progra...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_max.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # reduce_max paddle model generator # import numpy as np import sys from save_model import saveModel def reduce_max(name : str, x, axis=None, keepdim=False): import paddle paddle.enable_static() with paddle.static.progr...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_relu6.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # relu6 paddle model generator # import numpy as np from save_model import saveModel import paddle import sys def relu6(name: str, x, threshold: float = 6.0, data_type='float32'): paddle.enable_static() with paddle.static.pr...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_gather_nd.py
.py
# # gather_nd paddle model generator # import numpy as np from save_model import saveModel import paddle import sys def gather_nd(name: str, x, y): paddle.enable_static() with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()): data = paddle.static.data(name="x", shape=x.sh...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_gather.py
.py
# # gather paddle model generator # import numpy as np from save_model import saveModel import paddle import sys def gather(name: str, x, y, z): paddle.enable_static() with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()): data = paddle.static.data(name='x', shape=x.shape...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_hard_sigmoid.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # hard_sigmoid paddle model generator # import numpy as np from save_model import saveModel import paddle import sys def hard_sigmoid(name: str, x, slope: float = 0.2, offset: float = 0.5, data_type='float32'): paddle.enable_stat...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_atan2.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # fill_const paddle model generator # import numpy as np from save_model import saveModel import paddle import sys def atan2(name , x , y): paddle.enable_static() with paddle.static.program_guard(paddle.static.Program(), padd...
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openvino
src/frontends/paddle/tests/test_models/gen_scripts/generate_tanh_shrink.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # tanh_shrink paddle model generator # import numpy as np import sys from save_model import saveModel def tanh_shrink(name: str, x): import paddle paddle.enable_static() with paddle.static.program_guard(paddle.static.Pr...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_rnn_lstm.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 import numpy as np import os from save_model import saveModel import sys def _get_framework_pb2(): try: from paddle.fluid.proto import framework_pb2 return framework_pb2 except Exception: pass try: ...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_rsqrt.py
.py
import sys import paddle import numpy as np from save_model import saveModel def rsqrt(name: str, x): paddle.enable_static() with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()): node_x = paddle.static.data(name="x", shape=x.shape, dtype=x.dtype) out = paddle.rsq...
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src/frontends/paddle/tests/test_models/gen_scripts/generate_group_norm.py
.py
# Copyright (C) 2018-2026 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # # group norm paddle model generator # import numpy as np from save_model import saveModel import paddle import sys data_type = "float32" def group_norm(name: str, x, groups, epsilon, scale, bias, data_layout): paddle.enable_stati...
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