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### File: onnx/reference/ops/op_tan.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.ops._op import OpRunUnaryNum class Tan(OpRunUnaryNum): def _run(self, x): # type: ignore return (np.tan(x),)
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### File: onnx/reference/ops/op_tanh.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.ops._op import OpRunUnaryNum class Tanh(OpRunUnaryNum): def _run(self, x): # type: ignore return (np.tanh(x),)
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### File: onnx/reference/ops/op_tfidf_vectorizer.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from enum import IntEnum from typing import List import numpy as np from onnx.reference.op_run import OpRun class IntMap(dict): # type: ignore def __init__(self): dict....
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### File: onnx/reference/ops/op_thresholded_relu.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.ops._op import OpRunUnaryNum class ThresholdedRelu(OpRunUnaryNum): def _run(self, x, alpha=None): # type: ignore alpha = alpha or ...
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### File: onnx/reference/ops/op_tile.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun class Tile(OpRun): def _run(self, x, repeats): # type: ignore return (np.tile(x, repeats),)
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### File: onnx/reference/ops/op_topk.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun def topk_sorted_implementation(X, k, axis, largest): # type: ignore """ See function `_kneighbors_reduce_func <https://git...
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### File: onnx/reference/ops/op_transpose.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun class Transpose(OpRun): def _run(self, data, perm=None): # type: ignore perm_ = None if (perm is None or len(perm) ==...
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### File: onnx/reference/ops/op_trilu.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun class Trilu(OpRun): def _run(self, x, k=None, upper=None): # type: ignore k = 0 if k is None else int(k) if upper...
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### File: onnx/reference/ops/op_unique.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun def _specify_int64(indices, inverse_indices, counts): # type: ignore return ( np.array(indices, dtype=np.int64), ...
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### File: onnx/reference/ops/op_unsqueeze.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun class Unsqueeze_1(OpRun): def _run(self, data, axes=None): # type: ignore if isinstance(axes, np.ndarray): ...
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### File: onnx/reference/ops/op_upsample.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun class Upsample(OpRun): def _run(self, x, scale, mode=None): # type: ignore if mode == "nearest" and scale.astype(np.in...
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### File: onnx/reference/ops/op_where.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun class Where(OpRun): def _run(self, condition, x, y): # type: ignore if ( x.dtype != y.dtype and x...
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### File: onnx/reference/ops/op_xor.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.ops._op import OpRunBinary class Xor(OpRunBinary): def _run(self, x, y): # type: ignore return (np.logical_xor(x, y),)
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### File: onnx/reference/ops_optimized/__init__.py # Copyright (c) ONNX Project Contributors # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 from onnx.reference.ops_optimized.op_conv_optimized import Conv optimized_operators = [Conv] __all__ = ["Conv", "optimized_operators"]
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### File: onnx/reference/ops_optimized/op_conv_optimized.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import numpy as np from onnx.reference.op_run import OpRun def _make_ind(dim, shape): m = np.empty(shape, dtype=np.int64) ind = [slice(0, shape[i]) for i in range(len...
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### File: onnx/reference/reference_evaluator.py # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 from io import BytesIO from typing import Any, Dict, List, Optional, Tuple, Union import numpy as np from onnx import load from onnx.defs import onnx_opset_version from onnx.onnx_pb impor...
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### File: onnx/serialization.py # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import warnings __all__ = [ "registry", ] import typing from typing import Any, Collection, Optional, Protocol, TypeVar import google.protobuf.json_format import ...
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### File: onnx/shape_inference.py # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 """onnx shape inference. Shape inference is not guaranteed to be complete. """ from __future__ import annotations import os from typing import Sequence import onnx import onnx.onnx_cpp2py_export.shap...
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### File: onnx/shape_inference/attribute_binder.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #pragma once #include "onnx/common/visitor.h" namespace ONNX_NAMESPACE { namespace internal { // internal/private API using AttributeMap = std::unordered_map<std::string, const ...
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### File: onnx/shape_inference/implementation.cc // Copyright (c) ONNX Project Contributors // // SPDX-License-Identifier: Apache-2.0 #include "onnx/shape_inference/implementation.h" #include <algorithm> #include <fstream> #include <list> #include <unordered_map> #include <unordered_set> #include <utility> #include <...
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### File: onnx/shape_inference/implementation.h // Copyright (c) ONNX Project Contributors // // SPDX-License-Identifier: Apache-2.0 #pragma once #include <map> #include <memory> #include <string> #include <unordered_map> #include <unordered_set> #include <utility> #include <vector> #include "onnx/defs/function.h" #...
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### File: onnx/string_utils.h // Copyright (c) ONNX Project Contributors // // SPDX-License-Identifier: Apache-2.0 #pragma once #include <sstream> #include <string> namespace ONNX_NAMESPACE { #if defined(__ANDROID__) template <typename T> std::string to_string(T value) { std::ostringstream os; os << value; re...
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### File: onnx/test/__init__.pyi # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 # This file needs to be here to enable mypy type checking for this folder. # It doesn't make this a python module for installation purposes as a __init__.pyi would.
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### File: onnx/test/basic_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import io import os import pathlib import tempfile import unittest import google.protobuf.message import google.protobuf.text_format import parameterized import onnx from onnx import serialization def...
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### File: onnx/test/checker_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from typing import Sequence import numpy as np import onnx.defs import onnx.parser from onnx import ( GraphProto, SparseTensorProto, TensorProto, checker, helper, ...
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### File: onnx/test/compose_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from typing import Callable, List, Optional, Sequence, Tuple import numpy as np from onnx import ( FunctionProto, GraphProto, ModelProto, NodeProto, SparseTensorPro...
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### File: onnx/test/cpp/common_path_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <list> #include <utility> #include "gtest/gtest.h" #include "onnx/common/path.h" #ifdef _WIN32 // Only test clean_relative_path and normalize_separator on non-Windows // beca...
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### File: onnx/test/cpp/data_propagation_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/checker.h" #include "onnx/defs/parser.h" #include "onnx/defs/schema.h" #include "onnx/defs/shape_inference.h" #include ...
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### File: onnx/test/cpp/function_context_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/checker.h" #include "onnx/common/constants.h" #include "onnx/defs/function.h" #include "onnx/defs/schema.h" using name...
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### File: onnx/test/cpp/function_get_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/common/constants.h" #include "onnx/defs/schema.h" namespace ONNX_NAMESPACE { namespace Test { TEST(FunctionAPITest, GetFu...
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### File: onnx/test/cpp/function_verify_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include <set> #include "gtest/gtest.h" #include "onnx/checker.h" #include "onnx/common/constants.h" #include "onnx/defs/parser.h" #include "onnx/defs/printer.h...
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### File: onnx/test/cpp/inliner_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/checker.h" #include "onnx/common/constants.h" #include "onnx/defs/parser.h" #include "onnx/defs/printer.h" #include "onnx/defs/s...
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### File: onnx/test/cpp/ir_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/common/ir.h" #include "onnx/common/ir_pb_converter.h" #include "onnx/defs/printer.h" namespace ONNX_NAMESPACE { namespace Test { st...
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### File: onnx/test/cpp/op_reg_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/defs/schema.h" namespace ONNX_NAMESPACE { namespace Test { TEST(OpRegistrationTest, GemmOp) { auto opSchema = OpSchemaRegistry...
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### File: onnx/test/cpp/parser_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include "gtest/gtest.h" #include "onnx/checker.h" #include "onnx/defs/parser.h" #include "onnx/defs/printer.h" using namespace ONNX_NAMESPACE; namespace ONNX_NAMESPACE { namespace Test { ...
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### File: onnx/test/cpp/schema_registration_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/defs/operator_sets.h" #include "onnx/defs/schema.h" using namespace ONNX_NAMESPACE; namespace ONNX_NAMESPACE { nam...
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### File: onnx/test/cpp/shape_inference_test.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" #include "onnx/defs/parser.h" #include "onnx/defs/schema.h" #include "onnx/defs/shape_inference.h" #include "onnx/onnx_pb.h" #include "...
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### File: onnx/test/cpp/test_main.cc // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #include <iostream> #include "gtest/gtest.h" GTEST_API_ int main(int argc, char** argv) { std::cout << "Running main() from test_main.cc" << std::endl; ::testing::InitGoogleTest(&argc, a...
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### File: onnx/test/data_propagation_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import unittest # TODO: remove the following ignore after mypy upgrade in ONNX from shape_inference_test import TestShapeInferenceHelper import onnx.parser...
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### File: onnx/test/elu_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from onnx import checker, defs, helper class TestRelu(unittest.TestCase): def test_elu(self) -> None: self.assertTrue(defs.has("Elu")) node_def = helper.make_node("Elu"...
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### File: onnx/test/function_inference_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from typing import Sequence from shape_inference_test import TestShapeInferenceHelper import onnx import onnx.helper import onnx.parser import onnx.shape_inference from onnx ...
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### File: onnx/test/function_test.py # SPDX-License-Identifier: Apache-2.0 # Copyright (c) ONNX Project Contributors import unittest import onnx from onnx import checker, utils class TestFunction(unittest.TestCase): def _verify_function_set(self, extracted_model, function_set, func_domain): # type: ignore ...
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### File: onnx/test/helper_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import random import struct import unittest from typing import Any, List, Tuple import numpy as np import parameterized import pytest from onnx import ( AttributeProto, GraphProto, ModelPr...
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### File: onnx/test/hub_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import glob import os import unittest from os.path import join import pytest from onnx import ModelProto, hub @pytest.mark.skipif( "TEST_HUB" not in os.environ or not os.environ["TEST_HUB"], re...
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### File: onnx/test/inference_function_test.py # SPDX-License-Identifier: Apache-2.0 # Copyright (c) ONNX Project Contributors import unittest from typing import Dict, List, Optional, Tuple, Union import numpy as np import onnx from onnx import TensorProto, TypeProto from onnx.checker import ValidationError from on...
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### File: onnx/test/inliner_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from onnx import inliner, parser class InlinerTest(unittest.TestCase): def test_basic(self): model = parser.parse_model( """ <ir_version: 8, opset_i...
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### File: onnx/test/model_inference_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import typing import unittest import onnx import onnx.parser import onnx.shape_inference class TestModelInference(unittest.TestCase): def _check(self, model_text: str, *expected: int): ...
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### File: onnx/test/numpy_helper_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from typing import Any import numpy as np import parameterized import onnx from onnx import helper, numpy_helper def bfloat16_to_float32(ival: int) -> Any: if ival == 0x7FC0...
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### File: onnx/test/parser_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from parameterized import parameterized import onnx from onnx import GraphProto, OperatorSetIdProto, checker class TestBasicFunctions(unittest.TestCase): def check_graph(self, grap...
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### File: onnx/test/printer_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest import onnx from onnx import parser, printer class TestBasicFunctions(unittest.TestCase): def check_graph(self, graph: onnx.GraphProto) -> None: self.assertEqual(len(graph....
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### File: onnx/test/reference_evaluator_backend_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 # type: ignore """ These test evaluates the python runtime (class ReferenceEvaluator) against all the backend tests (in onnx/backend/test/case/node) and checks the runtime produces t...
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### File: onnx/test/reference_evaluator_ml_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 # type: ignore import unittest from functools import wraps from os import getenv import numpy as np # type: ignore from numpy.testing import assert_allclose # type: ignore from onnx ...
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### File: onnx/test/reference_evaluator_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 # type: ignore """ You can run a specific test by using the following syntax. :: python onnx/test/reference_evaluator_test.py TestReferenceEvaluator.test_function_attribute_nested_grap...
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### File: onnx/test/relu_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from onnx import defs, helper class TestRelu(unittest.TestCase): def test_relu(self) -> None: self.assertTrue(defs.has("Relu")) helper.make_node("Relu", ["X"], ["Y"]) ...
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### File: onnx/test/schema_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from typing import Sequence import parameterized import onnx from onnx import defs class TestSchema(unittest.TestCase): def test_get_schema(self) -> None: defs.get_schema("...
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### File: onnx/test/serialization_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import os import tempfile import unittest import onnx _TEST_MODEL = """\ < ir_version: 8, opset_import: ["" : 17, "local" : 1] > agraph (float[N] X) => (float[N] Y) { Y = local.foo (X...
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### File: onnx/test/shape_inference_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import itertools import unittest from typing import Any, Sequence import numpy as np import pytest from parameterized import parameterized import onnx.shape...
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### File: onnx/test/symbolic_shape_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest from typing import List, Optional import onnx.shape_inference from onnx import ModelProto, TensorProto, TensorShapeProto, ValueInfoProto, helper from onnx.helper import make_mode...
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### File: onnx/test/tools_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest import numpy as np from numpy.testing import assert_allclose import onnx from onnx import TensorProto, helper, numpy_helper from onnx.defs import onnx_opset_version from onnx.reference i...
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### File: onnx/test/training_tool_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest import numpy as np import onnx from onnx import TensorProto, helper, numpy_helper, shape_inference class TestTrainingTool(unittest.TestCase): def test_training_info_proto(s...
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### File: onnx/test/utils_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import os import shutil import tempfile import unittest import onnx from onnx import TensorProto, helper class TestUtilityFunctions(unittest.TestCase): def test_extract_model(self) -> None: ...
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### File: onnx/test/version_converter/automatic_conversion_test_base.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import string import unittest from typing import Any, List, Sequence, cast import onnx from onnx import TensorProto, ValueInfoProt...
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### File: onnx/test/version_converter/automatic_downgrade_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest import automatic_conversion_test_base import numpy as np import parameterized import onnx from onnx import helper ########################################...
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### File: onnx/test/version_converter/automatic_upgrade_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import unittest import automatic_conversion_test_base import numpy as np import onnx from onnx import TensorProto, helper ##################################################...
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### File: onnx/test/version_converter_test.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 import struct import unittest import numpy as np import onnx.version_converter from onnx import ( GraphProto, ModelProto, OperatorSetIdProto, TensorProto, checker, he...
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### File: onnx/test/version_utils.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from packaging.version import parse as version def numpy_older_than(ver: str) -> bool: """Returns True if the numpy version is older than the given version.""" import numpy # pylint: disable...
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### File: onnx/tools/__init__.py # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0
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### File: onnx/tools/net_drawer.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 # A library and utility for drawing ONNX nets. Most of this implementation has # been borrowed from the caffe2 implementation # https://github.com/pytorch/pytorch/blob/master/caffe2/python/net_drawer.py #...
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### File: onnx/tools/replace_constants.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from typing import List, Optional, Union import numpy as np from onnx import ( AttributeProto, FunctionProto, GraphProto, ModelProto, NodeProto, SparseTensorProto, Ten...
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### File: onnx/tools/update_model_dims.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 from typing import Any, Dict, List, Set import onnx.checker from onnx import ModelProto, ValueInfoProto def update_inputs_outputs_dims( model: ModelProto, input_dims: Dict[str, List[Any...
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### File: onnx/utils.py # Copyright (c) ONNX Project Contributors # # SPDX-License-Identifier: Apache-2.0 from __future__ import annotations import os import onnx.checker import onnx.helper import onnx.shape_inference from onnx import FunctionProto, ModelProto, NodeProto, TensorProto, ValueInfoProto class Extractor...
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### File: onnx/version_converter.py # Copyright (c) ONNX Project Contributors # SPDX-License-Identifier: Apache-2.0 """onnx version converter This enables users to convert their models between different opsets within the default domain ("" or "ai.onnx"). """ import onnx import onnx.onnx_cpp2py_export.version_convert...
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### File: onnx/version_converter/BaseConverter.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Version converter interface for ONNX models between different opset versions. #pragma once #include <stdlib.h> #include <iostream> #include <map> #include <memory> #include <...
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### File: onnx/version_converter/adapters/adapter.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Interface for Op Version Adapters #pragma once #include <functional> #include <memory> #include <string> #include "onnx/onnx_pb.h" #include "onnx/version_converter/helper....
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### File: onnx/version_converter/adapters/axes_attribute_to_input.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for all ops that remove consumed_inputs #pragma once #include <memory> #include <string> #include <vector> #include "onnx/version_converter/adapter...
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### File: onnx/version_converter/adapters/axes_input_to_attribute.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for all ops that remove consumed_inputs #pragma once #include <memory> #include <string> #include <utility> #include <vector> #include "onnx/versio...
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### File: onnx/version_converter/adapters/axis_attribute_to_input.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #pragma once #include <memory> #include <string> #include <vector> #include "onnx/version_converter/adapters/adapter.h" namespace ONNX_NAMESPACE { namespace v...
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### File: onnx/version_converter/adapters/axis_input_to_attribute.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ #pragma once #include <memory> #include <string> #include <utility> #include <vector> #include "onnx/version_converter/adapters/adapter.h" namespace ONNX_NAME...
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### File: onnx/version_converter/adapters/batch_normalization_13_14.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for BatchNormalization in default domain from version 13 to 14 #pragma once #include "onnx/version_converter/adapters/adapter.h" namespace ONNX_N...
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### File: onnx/version_converter/adapters/broadcast_backward_compatibility.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for broadcasting ops in default domain from version 7 to 6 #pragma once #include <memory> #include <string> #include <vector> #include "on...
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### File: onnx/version_converter/adapters/broadcast_forward_compatibility.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for broadcasting ops in default domain from version 6 to 7 #pragma once #include <memory> #include <string> #include <utility> #include <vec...
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### File: onnx/version_converter/adapters/cast_9_8.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Cast in default domain from version 9 to 8 #pragma once #include <memory> #include "onnx/version_converter/adapters/adapter.h" namespace ONNX_NAMESPACE { nam...
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### File: onnx/version_converter/adapters/clip_10_11.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Clip in default domain from version 10 to 11 #pragma once #include <limits> #include <memory> namespace ONNX_NAMESPACE { namespace version_conversion { clas...
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### File: onnx/version_converter/adapters/compatible.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter indicating compatibility of op between opsets with separate // definitions #pragma once #include <memory> #include <string> #include "onnx/version_converter/ada...
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### File: onnx/version_converter/adapters/dropout_11_12.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Dropout in default domain from version 11 to 12 #pragma once #include <memory> namespace ONNX_NAMESPACE { namespace version_conversion { class Dropout_1...
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### File: onnx/version_converter/adapters/extend_supported_types.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter indicating compatibility of op between opsets with separate // definitions #pragma once #include <memory> #include <string> #include <unordered_set> ...
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### File: onnx/version_converter/adapters/gemm_6_7.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Gemm in default domain from version 6 to 7 #pragma once #include <memory> #include <vector> #include "onnx/version_converter/adapters/adapter.h" namespace ON...
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### File: onnx/version_converter/adapters/gemm_7_6.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Gemm in default domain from version 7 to 6 #pragma once #include <memory> #include <vector> #include "onnx/version_converter/adapters/adapter.h" namespace ON...
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### File: onnx/version_converter/adapters/gridsample_19_20.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for GridSample in default domain from version 19 to 20 #pragma once #include <memory> namespace ONNX_NAMESPACE { namespace version_conversion { class Gri...
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### File: onnx/version_converter/adapters/maxpool_8_7.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for MaxPool in default domain from version 8 to 7 #pragma once #include <memory> #include "onnx/version_converter/adapters/adapter.h" namespace ONNX_NAMESPACE...
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### File: onnx/version_converter/adapters/no_previous_version.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter indicating lack of a previous version of some op before a given // opset version. #pragma once #include <memory> #include <string> #include "onnx/versi...
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### File: onnx/version_converter/adapters/pad_10_11.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Pad in default domain from version 10 to 11 #pragma once #include <memory> #include <vector> namespace ONNX_NAMESPACE { namespace version_conversion { class...
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### File: onnx/version_converter/adapters/remove_consumed_inputs.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for all ops that remove consumed_inputs #pragma once #include <memory> #include <string> #include "onnx/version_converter/adapters/adapter.h" names...
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### File: onnx/version_converter/adapters/reshape_4_5.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Reshape in default domain from version 4 to 5 #pragma once #include <memory> #include "onnx/version_converter/adapters/remove_consumed_inputs.h" namespace...
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### File: onnx/version_converter/adapters/reshape_5_4.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Reshape in default domain from version 5 to 4 #pragma once #include <memory> #include <string> #include <utility> #include "onnx/version_converter/adapters...
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### File: onnx/version_converter/adapters/resize_10_11.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Resize in default domain from version 10 to 11 #pragma once #include <memory> #include <vector> namespace ONNX_NAMESPACE { namespace version_conversion { ...
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### File: onnx/version_converter/adapters/scan_8_9.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Scan in default domain from version 8 to 9 #pragma once #include <memory> #include <utility> #include <vector> #include "onnx/version_converter/adapters/adapt...
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### File: onnx/version_converter/adapters/scan_9_8.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Scan in default domain from version 9 to 8 #pragma once #include <memory> #include <utility> #include <vector> #include "onnx/version_converter/adapters/adapt...
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### File: onnx/version_converter/adapters/scatter_10_11.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Scatter in default domain from version 10 to 11 #pragma once #include <memory> namespace ONNX_NAMESPACE { namespace version_conversion { class Scatter_1...
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### File: onnx/version_converter/adapters/slice_9_10.h // Copyright (c) ONNX Project Contributors /* * SPDX-License-Identifier: Apache-2.0 */ // Adapter for Slice in default domain from version 9 to 10 #pragma once #include <memory> #include <vector> namespace ONNX_NAMESPACE { namespace version_conversion { cla...
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