repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/onnx_types_test.py | test_type_properties | self.assertEqual | variable | 14 | from __future__ import annotations
import unittest
from parameterized import parameterized
from onnxscript.onnx_types import DOUBLE, FLOAT, TensorType, tensor_type_registry
class TestOnnxTypes(unittest.TestCase):
@parameterized.expand(tensor_type_registry.items())
def test_type_properties(self, dtype: int,... | dtype) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/operator_test.py | test_plus_op | assert_* | variable | 23 | import unittest
import onnx.helper
import onnxscript.testing
from onnxscript import script
from onnxscript.onnx_opset import opset15 as op
from onnxscript.onnx_types import FLOAT
class TestConverter(unittest.TestCase):
def test_plus_op(self):
"""Test that + is translated to Add op."""
@script(de... | plus2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tools/ir/model_zoo_test/model_zoo_test.py | test_model | assert_* | variable | 37 | from __future__ import annotations
import argparse
import contextlib
import gc
import multiprocessing.pool
import sys
import tempfile
import time
import traceback
import onnx
import tqdm
from onnx import hub
import onnxscript.testing
from onnxscript import ir
def test_model(model_info: hub.ModelInfo) -> float:
... | model) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_sequences | assert_* | variable | 141 | import ast
import inspect
import os
import pathlib
import textwrap
import types
import typing
import unittest
import warnings
import numpy as np
import onnx
import onnxruntime as ort
import pytest
from onnxruntime.capi.onnxruntime_pybind11_state import (
Fail,
InvalidArgument,
InvalidGraph,
)
import onnxs... | result) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_graph_pattern_builder | self.assertIn | variable | 104 | from __future__ import annotations
import contextlib
import io
import os
import unittest
import numpy as np
import onnx
import onnx.parser
import onnx.reference
import onnxruntime as ort
import parameterized
from onnxscript import ir
from onnxscript.rewriter import generic_pattern, pattern
FLOAT = onnx.TensorProto.... | opsets) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/function_libs/torch_lib/ops_test.py | test_function_has_op_schema | self.assertIsNotNone | variable | 78 | from __future__ import annotations
import os
import unittest
from typing import Callable, Optional, Sequence, Tuple
import numpy as np
import onnx
import onnxruntime as ort
import parameterized
import torch
from torch.testing._internal import common_device_type
from torch.testing._internal.opinfo import core as opinf... | schema) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_input_and_attr_classification | assert_* | variable | 170 | import ast
import inspect
import os
import pathlib
import textwrap
import types
import typing
import unittest
import warnings
import numpy as np
import onnx
import onnxruntime as ort
import pytest
from onnxruntime.capi.onnxruntime_pybind11_state import (
Fail,
InvalidArgument,
InvalidGraph,
)
import onnxs... | keyword) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/testing/__init__.py | assert_onnx_proto_equal | assert_* | variable | 314 | from __future__ import annotations
__all__ = [
"assert_isomorphic",
"assert_isomorphic_graph",
"assert_isomorphic_function",
"assert_onnx_proto_equal",
]
import difflib
import math
from typing import Any, Collection, Sequence
import google.protobuf.message
import onnx
from onnx import parser
import ... | b_value) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/external_tensor_test.py | test_external_tensor | self.assertIn | variable | 38 | import os
import tempfile
import unittest
import numpy as np
import onnx
from onnxscript import proto2python, script
from onnxscript.onnx_opset import opset17 as op
from onnxscript.onnx_types import FLOAT
class TestConverter(unittest.TestCase):
def test_external_tensor(self):
weight = np.random.rand(1024... | pymodel) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/analysis_test.py | assert_assigned_vars | self.assertEqual | variable | 16 | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript.onnx_opset import opset15 as op
from onnxscript.sourceinfo import formatter
class TestAssignedVarAnalysis(unittest.TestCase):
def assert_assigned_vars(self, f,... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/evaluator_test.py | test_evaluator | assert_* | variable | 28 | import unittest
import numpy as np
from onnxscript import evaluator, graph, script
from onnxscript.onnx_opset import opset17 as op
from onnxscript.onnx_types import FLOAT
class EvaluatorTest(unittest.TestCase):
def test_evaluator(self):
@script()
def seq_map(x: FLOAT["N"]): # noqa: F821
... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/function_libs/torch_lib/graph_building/graph_building_test.py | test_traced_constant_op_is_same_as_compiled_graph | assert_* | variable | 39 | from __future__ import annotations
import os
import unittest
import torch
import onnxscript
import onnxscript.testing
from onnxscript import FLOAT, evaluator
from onnxscript import opset18 as op
from onnxscript.function_libs.torch_lib import graph_building, ops
IS_WINDOWS = os.name == "nt"
class TestTorchScriptTra... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_schemas_test.py | test_pytype_to_ir_type | self.assertEqual | variable | 145 | from __future__ import annotations
import unittest
from typing import Any, Optional, Sequence, TypeVar, Union
import parameterized
import onnxscript
import onnxscript.testing
from onnxscript import FLOAT, INT64, ir
from onnxscript.ir import _schemas
_TestTypeVarConstraints = TypeVar("_TestTypeVarConstraints", INT64... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_type_casting_test.py | test_pack_int4_even_sized_array | assert_* | variable | 20 | import unittest
import numpy as np
import parameterized
from onnxscript.ir import _type_casting
class TypeCastingTest(unittest.TestCase):
@parameterized.parameterized.expand(
[
("signed", np.int8),
("unsigned", np.uint8),
]
)
def test_pack_int4_even_sized_array(sel... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/tensor_adapters_test.py | test_numpy_returns_correct_dtype | self.assertEqual | variable | 46 | from __future__ import annotations
import importlib.util
import unittest
import ml_dtypes
import numpy as np
import parameterized
import torch
from onnxscript.ir import tensor_adapters
def skip_if_no(module_name: str):
"""Decorator to skip a test if a module is not installed."""
if importlib.util.find_spec(... | np_dtype) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/traversal_test.py | test_recursive_graph_iterator | self.assertEqual | variable | 59 | from __future__ import annotations
import unittest
import parameterized
from onnxscript import ir
from onnxscript.ir import traversal
class RecursiveGraphIteratorTest(unittest.TestCase):
def setUp(self):
self.graph = ir.Graph(
[],
[],
nodes=[
ir.Node("... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/rms_normalization_test.py | test_smollm | self.assertIn | variable | 20 | from __future__ import annotations
import unittest
import onnxscript.optimizer
from onnxscript.rewriter.ort_fusions._smollm_1 import smollm_test_1
from onnxscript.rewriter.ort_fusions._test_utils import assert_allclose, ort_run
from onnxscript.rewriter.ort_fusions.rms_normalization import fuse_rms_normalization
clas... | op_types) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/rotary_embedding_test.py | test_rotary_embedding_fusion | self.assertIn | variable | 32 | from __future__ import annotations
import unittest
from parameterized import parameterized
import onnxscript.optimizer
from onnxscript.rewriter.ort_fusions._rotary_embedding_models import test_case_1
from onnxscript.rewriter.ort_fusions._smollm_1 import smollm_test_1
from onnxscript.rewriter.ort_fusions.rotary_embed... | op_types) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/sdpa_test.py | test_sdpa_fusion | self.assertIn | variable | 132 | from __future__ import annotations
import math
import unittest
import numpy
import parameterized
import onnxscript.ir as ir
import onnxscript.optimizer
from onnxscript import script
from onnxscript.onnx_opset import opset18 as op
from onnxscript.onnx_types import FLOAT
from onnxscript.rewriter.ort_fusions.sdpa impor... | op_types) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/skip_normalization_test.py | test_smollm | self.assertIn | variable | 22 | from __future__ import annotations
import unittest
import onnxscript.optimizer
from onnxscript.rewriter.ort_fusions._smollm_1 import smollm_test_1
from onnxscript.rewriter.ort_fusions._test_utils import assert_allclose, ort_run
from onnxscript.rewriter.ort_fusions.rms_normalization import fuse_rms_normalization
from ... | op_types) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tensor_test.py | _check_values_and_shape | self.assertEqual | variable | 11 | import unittest
import numpy as np
from onnxscript import tensor
class TestTensor(unittest.TestCase):
def _check_values_and_shape(self, result, elements, shape):
values = list(result.value.flatten())
self.assertEqual(values, | elements) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/type_annotation_test.py | test_pytype_to_type_strings | self.assertEqual | variable | 132 | import unittest
from typing import Any, List, Optional, Sequence, TypeVar, Union
import parameterized
import onnxscript
import onnxscript.testing
from onnxscript import FLOAT, INT64, script, type_annotation
from onnxscript.onnx_opset import opset15 as op
from tests.common import testutils
class TypeConversionFunctio... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/values_test.py | test_init | self.assertEqual | variable | 20 | from __future__ import annotations
import inspect
import typing
import unittest
import onnxscript
from onnxscript import values
class TracedOnnxFunctionTest(unittest.TestCase):
def test_init(self):
def function(input1, input2, attr1: int, attr2: int = 1):
return input1 + input2 + attr1 + attr... | function) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | opgen/pygen_test.py | assert_code | self.assertEqual | variable | 15 | import unittest
from io import StringIO
from textwrap import dedent
import opgen.pygen as cg
class PygenTest(unittest.TestCase):
def assert_code(self, node: cg.Node, expected: str):
node.accept(cg.ImportAdjuster())
writer = StringIO()
node.accept(cg.PythonWriter(writer))
actual = w... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/function_libs/torch_lib/ops_test.py | run_test_output_match | assert_* | variable | 201 | from __future__ import annotations
import os
import unittest
from typing import Callable, Optional, Sequence, Tuple
import numpy as np
import onnx
import onnxruntime as ort
import parameterized
import torch
from torch.testing._internal import common_device_type
from torch.testing._internal.opinfo import core as opinf... | expected) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/param_manipulation_test.py | test_it_raises_on_extra_args | self.assertRaises | variable | 30 | import collections
import unittest
import parameterized
from onnxscript import INT64, values
from onnxscript._internal import param_manipulation
TEST_INPUT = "TEST_INPUT"
class TestSeparateInputAttributesFromArguments(unittest.TestCase):
@parameterized.parameterized.expand(
[
(
... | TypeError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/evaluator_test.py | test_it_raise_on_unknown_function_kwargs_by_default | self.assertRaises | variable | 19 | import unittest
import numpy as np
from onnxscript import evaluator, graph, script
from onnxscript.onnx_opset import opset17 as op
from onnxscript.onnx_types import FLOAT
class ORTEvaluatorTest(unittest.TestCase):
def test_it_raise_on_unknown_function_kwargs_by_default(self):
@script()
def test_... | TypeError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_enums_test.py | test_from_numpy_takes_np_dtype_and_returns_data_type | self.assertEqual | variable | 83 | import unittest
import ml_dtypes
import numpy as np
import onnx
import onnx._custom_element_types
import parameterized
from onnxscript.ir import _enums
class DataTypeTest(unittest.TestCase):
@parameterized.parameterized.expand(
[
("string", np.array("some_string").dtype, _enums.DataType.STRI... | onnx_type) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tensor_test.py | test_multi_dimensional_tensor_errors_when_converted_to_int | self.assertRaises | variable | 16 | import unittest
import numpy as np
from onnxscript import tensor
class TestTensor(unittest.TestCase):
def _check_values_and_shape(self, result, elements, shape):
values = list(result.value.flatten())
self.assertEqual(values, elements)
self.assertEqual(result.shape, shape)
def test_mu... | TypeError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/testing/__init__.py | assert_onnx_proto_equal | assert_* | variable | 292 | from __future__ import annotations
__all__ = [
"assert_isomorphic",
"assert_isomorphic_graph",
"assert_isomorphic_function",
"assert_onnx_proto_equal",
]
import difflib
import math
from typing import Any, Collection, Sequence
import google.protobuf.message
import onnx
from onnx import parser
import ... | b_value_i) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/eager_test.py | test_dft_cfft_last_axis | assert_* | variable | 126 | import itertools
import unittest
import numpy as np
import parameterized
import torch
from tests.common import onnx_script_test_case
from tests.models import signal_dft
def _fft(x, fft_length, axis=-1):
ft = np.fft.fft(x, fft_length[0], axis=axis)
r = np.real(ft)
i = np.imag(ft)
merged = np.vstack([r... | expected2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/function_libs/torch_lib/graph_building/graph_building_test.py | test_add_initializer_raises_when_the_same_name_used_for_different_tensors | self.assertRaises | variable | 21 | from __future__ import annotations
import os
import unittest
import torch
import onnxscript
import onnxscript.testing
from onnxscript import FLOAT, evaluator
from onnxscript import opset18 as op
from onnxscript.function_libs.torch_lib import graph_building, ops
IS_WINDOWS = os.name == "nt"
class TestTorchScriptGra... | ValueError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_save_raise_when_external_data_is_not_relative_path | self.assertRaises | variable | 52 | import os
import tempfile
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir import _io
def _create_initializer(tensor: ir.TensorProtocol) -> ir.Value:
return ir.Value(
name=tensor.name,
shape=tensor.shape,
type=ir.TensorType(tensor.dtype),
const_value... | ValueError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/external_data_test.py | test_align_offset_false | self.assertEqual | variable | 24 | import os
import sys
import tempfile
import typing
import unittest
import numpy as np
import onnx
import onnx.external_data_helper
from onnxscript import ir
from onnxscript.ir import external_data
class OffsetCalcTest(unittest.TestCase):
def test_align_offset_false(self):
# Tensor size > Align Threshold... | new_offset) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tensor_test.py | test_multi_dimensional_tensor_errors_when_converted_to_bool | self.assertRaises | variable | 16 | import unittest
import numpy as np
from onnxscript import tensor
class TestTensor(unittest.TestCase):
def _check_values_and_shape(self, result, elements, shape):
values = list(result.value.flatten())
self.assertEqual(values, elements)
self.assertEqual(result.shape, shape)
def test_mu... | ValueError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/type_annotation_test.py | test_type_annotation | self.assertRaises | variable | 65 | import unittest
from typing import Any, List, Optional, Sequence, TypeVar, Union
import parameterized
import onnxscript
import onnxscript.testing
from onnxscript import FLOAT, INT64, script, type_annotation
from onnxscript.onnx_opset import opset15 as op
from tests.common import testutils
class TypeAnnotationTest(te... | ValueError) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_core_test.py | test_initialize | self.assertEqual | collection | 46 | from __future__ import annotations
import copy
import pathlib
import tempfile
import unittest
from typing import Any
import ml_dtypes
import numpy as np
import onnx
import onnx.external_data_helper
import parameterized
import torch
from onnxscript import ir
from onnxscript.ir import _core
def _to_external_tensor(te... | {}) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/clear_metadata_and_docstring_test.py | test_pass_with_clear_metadata_and_docstring | self.assertEqual | collection | 87 | from __future__ import annotations
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir.passes.common import clear_metadata_and_docstring
class TestClearMetadataAndDocStringPass(unittest.TestCase):
def test_pass_with_clear_metadata_and_docstring(self):
# Create a model (node, ... | {}) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_sequences | self.assertEqual | collection | 136 | import ast
import inspect
import os
import pathlib
import textwrap
import types
import typing
import unittest
import warnings
import numpy as np
import onnx
import onnxruntime as ort
import pytest
from onnxruntime.capi.onnxruntime_pybind11_state import (
Fail,
InvalidArgument,
InvalidGraph,
)
import onnxs... | (5, 3)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_tape_test.py | test_op | self.assertEqual | collection | 25 | from __future__ import annotations
import unittest
from onnxscript import ir
class TestTape(unittest.TestCase):
def test_op(self):
# Create a simple ONNX model with shape inference
# Define the model
inputs = [
ir.Value(
name="input_a", type=ir.TensorType(ir.Da... | ["Add"]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_transpose_transpose_onnxscript | self.assertEqual | collection | 151 | from __future__ import annotations
import contextlib
import io
import os
import unittest
import numpy as np
import onnx
import onnx.parser
import onnx.reference
import onnxruntime as ort
import parameterized
from onnxscript import ir
from onnxscript.rewriter import generic_pattern, pattern
FLOAT = onnx.TensorProto.... | [2, 0, 1]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/onnx_types_test.py | test_type_properties | self.assertEqual | collection | 18 | from __future__ import annotations
import unittest
from parameterized import parameterized
from onnxscript.onnx_types import DOUBLE, FLOAT, TensorType, tensor_type_registry
class TestOnnxTypes(unittest.TestCase):
@parameterized.expand(tensor_type_registry.items())
def test_type_properties(self, dtype: int,... | (1, 2, 3)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/analysis_test.py | test_basic_defs | assert_* | collection | 24 | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript.onnx_opset import opset15 as op
from onnxscript.sourceinfo import formatter
class TestAssignedVarAnalysis(unittest.TestCase):
def assert_assigned_vars(self, f,... | {"x", "y"}) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/param_manipulation_test.py | test_it_does_not_fill_default_when_fill_defaults_is_false | self.assertEqual | collection | 37 | import collections
import unittest
import parameterized
from onnxscript import INT64, values
from onnxscript._internal import param_manipulation
TEST_INPUT = "TEST_INPUT"
class TestSeparateInputAttributesFromArguments(unittest.TestCase):
@parameterized.parameterized.expand(
[
(True,),
... | [TEST_INPUT]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/llama_rule_sets_test.py | check | self.assertEqual | collection | 106 | from __future__ import annotations
import unittest
from typing import Any
import numpy as np
import onnx
import onnx.reference
import parameterized
import onnxscript
import onnxscript.onnx_types as ot
import onnxscript.rewriter.llama_rule_sets as llama_rule_sets
from onnxscript import ir
from onnxscript.onnx_opset i... | ["Identity"]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_tape_test.py | test_initializers | self.assertEqual | collection | 32 | from __future__ import annotations
import unittest
from onnxscript import ir
class TestTape(unittest.TestCase):
def test_initializers(self):
inputs = [
ir.Value(
name="input_a", type=ir.TensorType(ir.DataType.FLOAT), shape=ir.Shape((1, 2))
),
ir.Value(... | ["Add", "Mul"]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_tape_test.py | test_initializers | self.assertEqual | collection | 33 | from __future__ import annotations
import unittest
from onnxscript import ir
class TestTape(unittest.TestCase):
def test_initializers(self):
inputs = [
ir.Value(
name="input_a", type=ir.TensorType(ir.DataType.FLOAT), shape=ir.Shape((1, 2))
),
ir.Value(... | (initializer,)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/collapse_slices_test.py | test_scatternd_is_redundant_when_it_is_updating_the_whole_input_in_order | assert_* | collection | 47 | from __future__ import annotations
import unittest
import numpy as np
import onnx.parser
import onnx.shape_inference
from onnxscript import ir
from onnxscript.rewriter import collapse_slices, testing
_INT64_MAX = 9223372036854775807
class TwoReshapesMatMulReshapeTest(unittest.TestCase):
def test_scatternd_is_... | (input, input)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/analysis_test.py | test_if_defs | assert_* | collection | 28 | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript.onnx_opset import opset15 as op
from onnxscript.sourceinfo import formatter
class TestAssignedVarAnalysis(unittest.TestCase):
def assert_assigned_vars(self, f,... | {"z", "y", "t"}) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/analysis_test.py | test_loop_defs | assert_* | collection | 27 | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript.onnx_opset import opset15 as op
from onnxscript.sourceinfo import formatter
class TestAssignedVarAnalysis(unittest.TestCase):
def assert_assigned_vars(self, f,... | {"sum", "x", "square"}) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_tape_test.py | test_op_multi_out | self.assertEqual | collection | 28 | from __future__ import annotations
import unittest
from onnxscript import ir
class TestTape(unittest.TestCase):
def test_op_multi_out(self):
inputs = [
ir.Value(
name="input_a", type=ir.TensorType(ir.DataType.FLOAT), shape=ir.Shape((1, 2))
),
ir.Value(... | ["SomeOp", "SomeOtherOp"]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/analysis_test.py | assertLiveness | self.assertEqual | collection | 21 | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript.onnx_opset import opset15 as op
from onnxscript.sourceinfo import formatter
class TestLivenessAnalysis(unittest.TestCase):
def analyze(self, fun):
sour... | [set(x) for x in expected]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_loops_break | self.assertIn | func_call | 135 | import ast
import inspect
import os
import pathlib
import textwrap
import types
import typing
import unittest
import warnings
import numpy as np
import onnx
import onnxruntime as ort
import pytest
from onnxruntime.capi.onnxruntime_pybind11_state import (
Fail,
InvalidArgument,
InvalidGraph,
)
import onnxs... | str(f)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_bfloat16_converted_model_runtime | self.assertIn | func_call | 63 | import unittest
import numpy as np
import onnx
import onnx.checker
import onnx.shape_inference
import onnxruntime
from onnxscript import ir
from onnxscript.rewriter.onnxruntime.bfloat16_utils import bfloat16_converter
class Bfloat16ConversionTest(unittest.TestCase):
def setUp(self) -> None:
self.v0 = ir.... | str(e)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/testing/__init__.py | assert_onnx_proto_equal | assert | func_call | 235 | from __future__ import annotations
__all__ = [
"assert_isomorphic",
"assert_isomorphic_graph",
"assert_isomorphic_function",
"assert_onnx_proto_equal",
]
import difflib
import math
from typing import Any, Collection, Sequence
import google.protobuf.message
import onnx
from onnx import parser
import ... | type(b) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/llama_rule_sets_test.py | _check_model | self.assertEqual | func_call | 58 | from __future__ import annotations
import unittest
from typing import Any
import numpy as np
import onnx
import onnx.reference
import parameterized
import onnxscript
import onnxscript.onnx_types as ot
import onnxscript.rewriter.llama_rule_sets as llama_rule_sets
from onnxscript import ir
from onnxscript.onnx_opset i... | len(got)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/fused_matmul_rule_sets_test.py | _check_model | self.assertEqual | func_call | 48 | from __future__ import annotations
import unittest
from typing import Any
import numpy as np
import onnx
import onnx.reference
import onnx.reference.op_run
import onnxscript.rewriter.ort_fusions.fused_matmul_rule_sets as fused_matmul_rule_sets
from onnxscript import ir
FLOAT = onnx.TensorProto.FLOAT
class OrtRuleS... | len(got)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tensor_test.py | test_scalar_tensor_supports_python_range | self.assertEqual | func_call | 16 | import unittest
import numpy as np
from onnxscript import tensor
class TestTensor(unittest.TestCase):
def _check_values_and_shape(self, result, elements, shape):
values = list(result.value.flatten())
self.assertEqual(values, elements)
self.assertEqual(result.shape, shape)
def test_sc... | range(3)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/analysis_test.py | assertUses | self.assertEqual | func_call | 16 | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript.onnx_opset import opset15 as op
from onnxscript.sourceinfo import formatter
class TestExposedUses(unittest.TestCase):
def assertUses(self, f, expected):
... | set(expected)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/loop_test.py | test_loop | self.assertEqual | func_call | 28 | import unittest
import numpy as np
from onnxscript import script
from onnxscript.onnx_opset import opset15 as op
from onnxscript.onnx_types import FLOAT, INT64
from tests.common import testutils
class LoopOpTest(testutils.TestBase):
def test_loop(self):
"""Basic loop test."""
@script()
d... | np.array([8])) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/serde_test.py | test_tensor_proto_tensor | assert_* | func_call | 41 | import unittest
import google.protobuf.text_format
import ml_dtypes
import numpy as np
import onnx
import parameterized
from onnxscript import ir
from onnxscript._internal import version_utils
from onnxscript.ir import serde
class TensorProtoTensorTest(unittest.TestCase):
@parameterized.parameterized.expand(
... | tensor.numpy()) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/loop_test.py | test_loop | self.assertEqual | func_call | 29 | import unittest
import numpy as np
from onnxscript import script
from onnxscript.onnx_opset import opset15 as op
from onnxscript.onnx_types import FLOAT, INT64
from tests.common import testutils
class LoopOpTest(testutils.TestBase):
def test_loop(self):
"""Basic loop test."""
@script()
d... | np.array([16])) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_load | assert_* | func_call | 56 | import os
import tempfile
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir import _io
def _create_initializer(tensor: ir.TensorProtocol) -> ir.Value:
return ir.Value(
name=tensor.name,
shape=tensor.shape,
type=ir.TensorType(tensor.dtype),
const_value... | np.array([0.0])) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_save_with_external_data_does_not_modify_model | assert_* | func_call | 76 | import os
import tempfile
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir import _io
def _create_initializer(tensor: ir.TensorProtocol) -> ir.Value:
return ir.Value(
name=tensor.name,
shape=tensor.shape,
type=ir.TensorType(tensor.dtype),
const_value... | np.array([1.0])) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/shape_inference_test.py | test_pass | self.assertEqual | func_call | 44 | from __future__ import annotations
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir.passes.common import _c_api_utils, shape_inference
class TestShapeInferencePass(unittest.TestCase):
def test_pass(self):
# Create a simple ONNX model with shape inference
# Define ... | ir.Shape((1, 2))) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/optimizer/test_models.py | test_model_runs_and_matches_accuracy_after_optimization | assert | func_call | 59 | from __future__ import annotations
import pathlib
import tempfile
import unittest
import numpy as np
import onnx
import onnx.inliner
import onnxruntime
import parameterized
from onnxscript import optimizer
from onnxscript.rewriter import onnxruntime as ort_rewriter
from onnxscript.utils import evaluation_utils
_SKI... | set(inputs.keys()) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tools/function_rewriter_testing/function_unittest_producer.py | visit_model | assert | func_call | 246 | from __future__ import annotations
import argparse
import itertools
import logging
import os
import sys
import numpy as np
import onnx
import onnx.inliner
import onnxruntime
from onnx import helper as onnx_helper
from onnx import numpy_helper
from onnxscript import _legacy_ir as ir
from onnxscript._legacy_ir import ... | len(fetch_outputs) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/backend/onnx_backend_test.py | test_enumerate_onnx_tests_run_one | self.assertIn | func_call | 28 | import os
import unittest
import onnxruntime as ort
from onnxscript.backend import onnx_backend
def load_function(obj):
return ort.InferenceSession(obj.SerializeToString(), providers=("CPUExecutionProvider",))
def run_function(obj, *inputs):
names = [i.name for i in obj.get_inputs()]
if len(names) < len... | repr(backend_test)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/external_data_test.py | test_external_data_simple | self.assertEqual | func_call | 244 | import os
import sys
import tempfile
import typing
import unittest
import numpy as np
import onnx
import onnx.external_data_helper
from onnxscript import ir
from onnxscript.ir import external_data
class OffloadExternalTensorTest(unittest.TestCase):
def setUp(self):
# File paths
if sys.version_in... | self.data.tobytes()) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/_internal/param_manipulation_test.py | test_it_is_correct_on | self.assertEqual | func_call | 79 | import collections
import unittest
import parameterized
from onnxscript import INT64, values
from onnxscript._internal import param_manipulation
TEST_INPUT = "TEST_INPUT"
class TestSeparateInputAttributesFromArguments(unittest.TestCase):
@parameterized.parameterized.expand(
[
(
... | len(expected_inputs)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/function_libs/torch_lib/graph_building/graph_building_test.py | test_torchscript_tensor_keeps_torch_device | self.assertEqual | func_call | 33 | from __future__ import annotations
import os
import unittest
import torch
import onnxscript
import onnxscript.testing
from onnxscript import FLOAT, evaluator
from onnxscript import opset18 as op
from onnxscript.function_libs.torch_lib import graph_building, ops
IS_WINDOWS = os.name == "nt"
class TestTorchScriptTra... | torch.device("cuda")) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_convenience/_constructors_test.py | test_tensor_accepts_torch_tensor | assert_* | func_call | 14 | import unittest
import numpy as np
from onnxscript.ir._convenience import _constructors
class ConstructorsTest(unittest.TestCase):
def test_tensor_accepts_torch_tensor(self):
import torch as some_random_name # pylint: disable=import-outside-toplevel
torch_tensor = some_random_name.tensor([1, 2,... | torch_tensor.numpy()) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_enums_test.py | test_numpy_returns_np_dtype | self.assertEqual | func_call | 15 | import unittest
import ml_dtypes
import numpy as np
import onnx
import onnx._custom_element_types
import parameterized
from onnxscript.ir import _enums
class DataTypeTest(unittest.TestCase):
def test_numpy_returns_np_dtype(self):
self.assertEqual(_enums.DataType.DOUBLE.numpy(), | np.dtype(np.float64)) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_core_test.py | test_tobytes_returns_packed_data_for_int4 | assert | numeric_literal | 25 | from __future__ import annotations
import copy
import pathlib
import tempfile
import unittest
from typing import Any
import ml_dtypes
import numpy as np
import onnx
import onnx.external_data_helper
import parameterized
import torch
from onnxscript import ir
from onnxscript.ir import _core
class TensorTest(unittest.... | 1 | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/fused_matmul_rule_sets_test.py | _run | assert | numeric_literal | 30 | from __future__ import annotations
import unittest
from typing import Any
import numpy as np
import onnx
import onnx.reference
import onnx.reference.op_run
import onnxscript.rewriter.ort_fusions.fused_matmul_rule_sets as fused_matmul_rule_sets
from onnxscript import ir
FLOAT = onnx.TensorProto.FLOAT
class FusedMat... | 0 | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/gqa_test.py | __init__ | assert | numeric_literal | 39 | from __future__ import annotations
import math
import unittest
import numpy as np
import onnx
import onnxruntime as ort
import torch
import onnxscript
import onnxscript.ir as ir
import onnxscript.ir.passes.common.shape_inference as shape_inference
import onnxscript.optimizer
from onnxscript import FLOAT, script
from... | 0 | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/backend/onnx_backend_test.py | test_enumerate_onnx_tests | self.assertEqual | numeric_literal | 26 | import os
import unittest
import onnxruntime as ort
from onnxscript.backend import onnx_backend
def load_function(obj):
return ort.InferenceSession(obj.SerializeToString(), providers=("CPUExecutionProvider",))
def run_function(obj, *inputs):
names = [i.name for i in obj.get_inputs()]
if len(names) < len... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/backend/onnx_backend_test.py | test_enumerate_onnx_tests_run_one | self.assertGreater | numeric_literal | 29 | import os
import unittest
import onnxruntime as ort
from onnxscript.backend import onnx_backend
def load_function(obj):
return ort.InferenceSession(obj.SerializeToString(), providers=("CPUExecutionProvider",))
def run_function(obj, *inputs):
names = [i.name for i in obj.get_inputs()]
if len(names) < len... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/backend/onnx_export_test.py | test_export2python_produces_correct_onnx_script_model | self.assertGreater | numeric_literal | 113 | from __future__ import annotations
import dataclasses
import importlib
import os
import pathlib
import re
import sys
import unittest
from typing import Pattern
import onnx
import onnxruntime as ort
import parameterized
from onnxruntime.capi import onnxruntime_pybind11_state
import onnxscript
import onnxscript.testin... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_type_double | self.assertEqual | numeric_literal | 135 | import ast
import inspect
import os
import pathlib
import textwrap
import types
import typing
import unittest
import warnings
import numpy as np
import onnx
import onnxruntime as ort
import pytest
from onnxruntime.capi.onnxruntime_pybind11_state import (
Fail,
InvalidArgument,
InvalidGraph,
)
import onnxs... | 7) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_function_opset_import | self.assertEqual | numeric_literal | 174 | import ast
import inspect
import os
import pathlib
import textwrap
import types
import typing
import unittest
import warnings
import numpy as np
import onnx
import onnxruntime as ort
import pytest
from onnxruntime.capi.onnxruntime_pybind11_state import (
Fail,
InvalidArgument,
InvalidGraph,
)
import onnxs... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_core_test.py | test_metadata | self.assertEqual | numeric_literal | 26 | from __future__ import annotations
import copy
import pathlib
import tempfile
import unittest
from typing import Any
import ml_dtypes
import numpy as np
import onnx
import onnx.external_data_helper
import parameterized
import torch
from onnxscript import ir
from onnxscript.ir import _core
class TensorTest(unittest.... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_core_test.py | test_len | self.assertEqual | numeric_literal | 32 | from __future__ import annotations
import copy
import pathlib
import tempfile
import unittest
from typing import Any
import ml_dtypes
import numpy as np
import onnx
import onnx.external_data_helper
import parameterized
import torch
from onnxscript import ir
from onnxscript.ir import _core
def _to_external_tensor(te... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_core_test.py | test_init_with_values | self.assertEqual | numeric_literal | 42 | from __future__ import annotations
import copy
import pathlib
import tempfile
import unittest
from typing import Any
import ml_dtypes
import numpy as np
import onnx
import onnx.external_data_helper
import parameterized
import torch
from onnxscript import ir
from onnxscript.ir import _core
def _to_external_tensor(te... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_core_test.py | test_init_with_preinitialized_outputs | self.assertIs | numeric_literal | 60 | from __future__ import annotations
import copy
import pathlib
import tempfile
import unittest
from typing import Any
import ml_dtypes
import numpy as np
import onnx
import onnx.external_data_helper
import parameterized
import torch
from onnxscript import ir
from onnxscript.ir import _core
def _to_external_tensor(te... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_enums_test.py | test_itemsize_returns_size_of_data_type_in_bytes | self.assertEqual | numeric_literal | 15 | import unittest
import ml_dtypes
import numpy as np
import onnx
import onnx._custom_element_types
import parameterized
from onnxscript.ir import _enums
class DataTypeTest(unittest.TestCase):
def test_itemsize_returns_size_of_data_type_in_bytes(self):
self.assertEqual(_enums.DataType.DOUBLE.itemsize, | 8) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_load | self.assertEqual | numeric_literal | 54 | import os
import tempfile
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir import _io
def _create_initializer(tensor: ir.TensorProtocol) -> ir.Value:
return ir.Value(
name=tensor.name,
shape=tensor.shape,
type=ir.TensorType(tensor.dtype),
const_value... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_load | self.assertEqual | numeric_literal | 55 | import os
import tempfile
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir import _io
def _create_initializer(tensor: ir.TensorProtocol) -> ir.Value:
return ir.Value(
name=tensor.name,
shape=tensor.shape,
type=ir.TensorType(tensor.dtype),
const_value... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_linked_list_test.py | test_empty_list | self.assertEqual | numeric_literal | 13 | from __future__ import annotations
import unittest
import parameterized
from onnxscript.ir import _linked_list
class DoublyLinkedSetTest(unittest.TestCase):
def test_empty_list(self):
linked_list = _linked_list.DoublyLinkedSet()
self.assertEqual(len(linked_list), | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_linked_list_test.py | test_append_single_element | self.assertEqual | numeric_literal | 17 | from __future__ import annotations
import unittest
import parameterized
from onnxscript.ir import _linked_list
class DoublyLinkedSetTest(unittest.TestCase):
def test_append_single_element(self):
linked_list = _linked_list.DoublyLinkedSet()
elem = _TestElement(0)
linked_list.append(elem)... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_linked_list_test.py | test_append_multiple_elements | self.assertEqual | numeric_literal | 18 | from __future__ import annotations
import unittest
import parameterized
from onnxscript.ir import _linked_list
class DoublyLinkedSetTest(unittest.TestCase):
def test_append_multiple_elements(self):
linked_list = _linked_list.DoublyLinkedSet()
elems = [_TestElement(i) for i in range(3)]
... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_linked_list_test.py | test_remove | self.assertEqual | numeric_literal | 28 | from __future__ import annotations
import unittest
import parameterized
from onnxscript.ir import _linked_list
class DoublyLinkedSetTest(unittest.TestCase):
@parameterized.parameterized.expand(
[
("start", 0, [1, 2]),
("middle", 1, [0, 2]),
("end", 2, [0, 1]),
... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_linked_list_test.py | test_insert_after_supports_element_from_different_list_during_iteration | self.assertEqual | numeric_literal | 23 | from __future__ import annotations
import unittest
import parameterized
from onnxscript.ir import _linked_list
class DoublyLinkedSetTest(unittest.TestCase):
def test_insert_after_supports_element_from_different_list_during_iteration(self) -> None:
elems = [_TestElement(i) for i in range(3)]
lin... | 4) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/constant_manipulation_test.py | test_pass_with_lifting_float_and_int_constants_to_initializers | self.assertEqual | numeric_literal | 51 | from __future__ import annotations
import unittest
import numpy as np
import parameterized
from onnxscript import ir
from onnxscript.ir.passes.common import constant_manipulation
class TestLiftConstantsToInitializersPass(unittest.TestCase):
@parameterized.parameterized.expand(
[
(ir.DataType... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/constant_manipulation_test.py | test_pass_with_lifting_float_and_int_constants_to_initializers | self.assertEqual | numeric_literal | 53 | from __future__ import annotations
import unittest
import numpy as np
import parameterized
from onnxscript import ir
from onnxscript.ir.passes.common import constant_manipulation
class TestLiftConstantsToInitializersPass(unittest.TestCase):
@parameterized.parameterized.expand(
[
(ir.DataType... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/shape_inference_test.py | test_pass_with_initializers | self.assertEqual | numeric_literal | 74 | from __future__ import annotations
import unittest
import numpy as np
from onnxscript import ir
from onnxscript.ir.passes.common import _c_api_utils, shape_inference
class TestShapeInferencePass(unittest.TestCase):
def test_pass_with_initializers(self):
# _BIG_TENSOR_SIZE_LIMIT is in bytes, but we crea... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/unused_removal_test.py | test_remove_unused_nodes | self.assertEqual | numeric_literal | 36 | import unittest
import onnx
import parameterized
import onnxscript.optimizer
from onnxscript import ir
class RemoveUnusedTest(unittest.TestCase):
using_ir: bool
def remove_unused_nodes(
self, model: onnx.ModelProto, remove_initialized_inputs: bool = False
):
if self.using_ir:
... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/unused_removal_test.py | test_remove_unused_initializers | self.assertEqual | numeric_literal | 39 | import unittest
import onnx
import parameterized
import onnxscript.optimizer
from onnxscript import ir
class RemoveUnusedTest(unittest.TestCase):
using_ir: bool
def remove_unused_nodes(
self, model: onnx.ModelProto, remove_initialized_inputs: bool = False
):
if self.using_ir:
... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/unused_removal_test.py | test_unused_initialized_inputs_are_kept_by_default | self.assertEqual | numeric_literal | 38 | import unittest
import onnx
import parameterized
import onnxscript.optimizer
from onnxscript import ir
class RemoveUnusedTest(unittest.TestCase):
using_ir: bool
def remove_unused_nodes(
self, model: onnx.ModelProto, remove_initialized_inputs: bool = False
):
if self.using_ir:
... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/serde_test.py | test_deserialize_graph_handles_invalid_output | self.assertEqual | numeric_literal | 27 | import unittest
import google.protobuf.text_format
import ml_dtypes
import numpy as np
import onnx
import parameterized
from onnxscript import ir
from onnxscript._internal import version_utils
from onnxscript.ir import serde
class DeserializeGraphTest(unittest.TestCase):
def test_deserialize_graph_handles_inval... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
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