repo_id stringclasses 409
values | prefix large_stringlengths 34 36.3k | target large_stringlengths 1 498 | assertion_type stringclasses 31
values | difficulty stringclasses 8
values | test_file stringlengths 10 121 | test_function stringlengths 1 104 | test_class stringlengths 0 51 | lineno int32 2 11.3k | commit_idx int32 |
|---|---|---|---|---|---|---|---|---|---|
microsoft/onnxscript | import contextlib
import io
import logging
import unittest
import numpy as np
import onnx.checker
import onnx.parser
import onnxscript.optimizer
import onnxscript.rewriter
from onnxscript import FLOAT, ir, script
from onnxscript import opset17 as op
from onnxscript.rewriter import pattern
from onnxscript.rewriter.rul... | 3) | self.assertEqual | numeric_literal | onnxscript/rewriter/pattern_test.py | test_single_match | ReciprocalMulTest | 48 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from onnxscript import ir
from onnxscript.ir import _tape
class TestBuilder(unittest.TestCase):
def test_op_name_multi_out(self):
op = _tape.Builder()
input_a = ir.Value(
name="input", type=ir.TensorType(ir.DataType.FLOAT), shape=ir... | "custom_node") | self.assertEqual | string_literal | onnxscript/ir/_tape_test.py | test_op_name_multi_out | TestBuilder | 100 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Sequence
import onnx_ir as ir
import onnxscript._internal.builder as builder
import onnxscript.testing
from onnxscript import script
from onnxscript.onnx_types import DOUBLE, FLOAT
_default_opset_version = 23
def _build(
trace_fun... | 3) | self.assertEqual | numeric_literal | onnxscript/_internal/builder_test.py | test_value_naming | GraphBuilderTest | 133 | null |
microsoft/onnxscript | import unittest
import onnxscript.testing
from onnxscript import script
from onnxscript.onnx_opset import opset15 as op
from tests.common import testutils
class IfOpTest(testutils.TestBase):
def test_no_else(self):
"""Basic test for if-then without else."""
# TODO: pass default opset as parameter... | if3) | assert_* | variable | tests/if_test.py | test_no_else | IfOpTest | 45 | null |
microsoft/onnxscript | import unittest
import parameterized
from onnxscript import ir
from onnxscript.rewriter.rules.common import _no_op
class NoOpTest(unittest.TestCase):
def _check(self, model_text: str) -> None:
model = ir.from_onnx_text(model_text)
count = _no_op.rules.apply_to_model(model)
self.assertEqua... | "Identity") | self.assertEqual | string_literal | onnxscript/rewriter/rules/common/_no_op_test.py | _check | NoOpTest | 16 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnx_ir as ir
from onnxscript.onnx_types import FLOAT, INT64
class TensorTypeToIrTest(unittest.TestCase):
def test_single_dim(self):
"""FLOAT[1024] maps to a 1-D tensor with dimension 1024."""
ts = FLOAT[1024].to_ir()
self.assert... | 1) | self.assertEqual | numeric_literal | onnxscript/onnx_types_test.py | test_single_dim | TensorTypeToIrTest | 34 | null |
microsoft/onnxscript | import unittest
import onnx
import onnxscript.testing
from onnxscript import ir, optimizer
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
model = onnx.parser.parse_model(model_text)
return ir.serde.deserialize_model(model)
class FunctionFoldingTest(unittest.Tes... | 0) | self.assertEqual | numeric_literal | onnxscript/optimizer/_function_folding_test.py | test_identity | FunctionFoldingTest | 46 | null |
microsoft/onnxscript | 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) | self.assertGreater | numeric_literal | onnxscript/backend/onnx_export_test.py | test_export2python_produces_correct_onnx_script_model | TestOnnxBackEnd | 237 | null |
microsoft/onnxscript | import unittest
import onnxscript.testing
from onnxscript import script
from onnxscript.onnx_opset import opset15 as op
from tests.common import testutils
class IfOpTest(testutils.TestBase):
def test_no_else(self):
"""Basic test for if-then without else."""
# TODO: pass default opset as parameter... | if2) | assert_* | variable | tests/if_test.py | test_no_else | IfOpTest | 44 | null |
microsoft/onnxscript | 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... | 0) | self.assertEqual | numeric_literal | onnxscript/_internal/converter_test.py | test_set_value_info | TestConverter | 205 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from typing import Mapping, Sequence
import numpy as np
import onnx_ir as ir
import parameterized
from onnx_ir.passes.common import onnx_checker, shape_inference
from onnxscript.rewriter import pattern as orp
from onnxscript.rewriter import testing
from onnxscript.r... | (inputs,)) | assert_* | collection | onnxscript/rewriter/rules/common/_fuse_pad_into_conv_test.py | test_fuse_pad_into_conv | FuseConvPadTest | 130 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from onnxscript import ir
from onnxscript.ir import _tape
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))
... | ["Add", "Mul"]) | self.assertEqual | collection | onnxscript/ir/_tape_test.py | test_initializers | TestTape | 52 | null |
microsoft/onnxscript | import math
import unittest
import numpy as np
import onnx_ir as ir
import onnxscript.rewriter.ort_fusions._test_utils as test_utils
from onnxscript import FLOAT, script
from onnxscript import opset18 as op
from onnxscript.optimizer import optimize, remove_unused_nodes
from onnxscript.rewriter.ort_fusions.gelu import... | "Gelu") | self.assertEqual | string_literal | onnxscript/rewriter/ort_fusions/gelu_test.py | test_gelu_erf_fusion | GeluFusionTest | 83 | null |
microsoft/onnxscript | import math
import unittest
import numpy as np
import onnx_ir as ir
import onnxscript.rewriter.ort_fusions._test_utils as test_utils
from onnxscript import FLOAT, script
from onnxscript import opset18 as op
from onnxscript.optimizer import optimize, remove_unused_nodes
from onnxscript.rewriter.ort_fusions.gelu import... | "FastGelu") | self.assertEqual | string_literal | onnxscript/rewriter/ort_fusions/gelu_test.py | test_gelu_fusion | GeluFusionTest | 50 | null |
microsoft/onnxscript | 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) | self.assertGreater | numeric_literal | onnxscript/backend/onnx_backend_test.py | test_enumerate_onnx_tests_run_one | TestOnnxBackEnd | 39 | null |
microsoft/onnxscript | import unittest
import onnx
import onnx_ir as ir
import onnxscript.optimizer as optimizer
class OptimizerTest(unittest.TestCase):
def test_folded_from_key_is_accessible(self):
"""Test that FOLDED_FROM_KEY is accessible from the public API."""
self.assertTrue(hasattr(optimizer, "FOLDED_FROM_KEY"))... | str) | self.assertIsInstance | variable | onnxscript/optimizer/_optimizer_test.py | test_folded_from_key_is_accessible | OptimizerTest | 16 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript._internal.sourceinfo import formatter
from onnxscript.onnx_opset import opset15 as op
class TestExposedUses(unittest.TestCase):
def assertUses(self, f, expecte... | set(expected)) | self.assertEqual | func_call | onnxscript/_internal/analysis_test.py | assertUses | TestExposedUses | 121 | null |
microsoft/onnxscript | import collections
import unittest
import parameterized
from onnxscript import ir
from onnxscript._internal import param_manipulation
TEST_INPUT = "TEST_INPUT"
class TestSeparateInputAttributesFromArguments(unittest.TestCase):
@parameterized.parameterized.expand(
[
(
"extra_... | TypeError) | self.assertRaises | variable | onnxscript/_internal/param_manipulation_test.py | test_it_raises_on_extra_args | TestSeparateInputAttributesFromArguments | 138 | null |
microsoft/onnxscript | import contextlib
import io
import logging
import unittest
import numpy as np
import onnx.checker
import onnx.parser
import onnxscript.optimizer
import onnxscript.rewriter
from onnxscript import FLOAT, ir, script
from onnxscript import opset17 as op
from onnxscript.rewriter import pattern
from onnxscript.rewriter.rul... | 2) | self.assertEqual | numeric_literal | onnxscript/rewriter/pattern_test.py | test_multiple_matches | ReciprocalMulTest | 104 | null |
microsoft/onnxscript | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import pattern
class MatchContextTest(unittest.TestCase):
def condition_using_context(context, x, y):
# Use context to check properties of the match
self.assertIs(context.model, | model) | self.assertIs | variable | onnxscript/rewriter/match_context_test.py | condition_using_context | MatchContextTest | 32 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnx_ir.passes.common as common_passes
import packaging.version
import onnxscript.optimizer
import onnxscript.rewriter.ort_fusions._core as xformers
from onnxscript.rewriter.models._phi2lm import phi2lm_test
from onnxscript.rewriter.models._smollm_2 import sm... | mha_node.inputs[6]) | self.assertIsNotNone | complex_expr | onnxscript/rewriter/ort_fusions/mha_test.py | test_phi2lm | TestMultiHeadAttention | 114 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Sequence
import onnx_ir as ir
import onnxscript._internal.builder as builder
import onnxscript.testing
from onnxscript import script
from onnxscript.onnx_types import DOUBLE, FLOAT
_default_opset_version = 23
def _build(
trace_fun... | x) | self.assertIs | variable | onnxscript/_internal/builder_test.py | test_int_constant_with_unknown_type_uses_cast_like | GraphBuilderTest | 509 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnxscript.optimizer
from onnxscript.rewriter.models._smollm_1 import smollm_test_1
from onnxscript.rewriter.ort_fusions._core import fuse_xformers
from onnxscript.rewriter.ort_fusions._test_utils import assert_allclose, ort_run
class TestFuseXformers(unittes... | 2) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/fuse_xformers_test.py | test_fuse_xformers | TestFuseXformers | 25 | null |
microsoft/onnxscript | 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
from onnxscript import ir
from onnxscript.onnx_opset import opset18
from onnxscript.rewriter import MatchingTracer, ... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/rules/common/_basic_rules_test.py | test_reshape_reshape_rule | ReshapeReshapeTest | 477 | null |
microsoft/onnxscript | from __future__ import annotations
import inspect
import typing
import unittest
import onnxscript
from onnxscript._internal import values
class TracedOnnxFunctionTest(unittest.TestCase):
def test_it_preserves_the_function_signature(self):
opset = values.Opset("test", 1)
def function(input1, inp... | float) | self.assertEqual | variable | onnxscript/_internal/values_test.py | test_it_preserves_the_function_signature | TracedOnnxFunctionTest | 41 | null |
microsoft/onnxscript | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import pattern
class MatchContextTest(unittest.TestCase):
def condition_using_context(context, x, y):
# Use context to check properties of the match
self.assertIs(context.model, model)
... | model.graph) | self.assertIs | complex_expr | onnxscript/rewriter/match_context_test.py | condition_using_context | MatchContextTest | 33 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnx_ir as ir
from onnxscript.onnx_types import FLOAT, INT64
class TensorTypeToIrTest(unittest.TestCase):
def test_multi_dim_int(self):
"""FLOAT[3, 4] maps to a 2-D tensor with dims (3, 4)."""
ts = FLOAT[3, 4].to_ir()
self.assert... | 4) | self.assertEqual | numeric_literal | onnxscript/onnx_types_test.py | test_multi_dim_int | TensorTypeToIrTest | 43 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from typing import Any, Tuple
import numpy as np
import onnx
import onnx.reference
import onnx.reference.op_run
import onnx_ir.passes.common as common_passes
import parameterized
import onnxscript.rewriter.ort_fusions.fused_matmul_rule_sets as fused_matmul_rule_sets... | ["Constant", "FusedMatMul"]) | self.assertEqual | collection | onnxscript/rewriter/ort_fusions/fused_matmul_rule_sets_test.py | test_fused_matmul_div_models | TestFusedMatmulRules | 322 | null |
microsoft/onnxscript | import unittest
from onnxscript.rewriter import _pattern_ir
class PatternIRTest(unittest.TestCase):
def test_op_pattern_builder_with_check(self):
"""Test OpPatternBuilder with _check parameter."""
def node_checker(context, node):
return True
# Create OpPatternBuilder and cal... | producer) | self.assertIsNotNone | variable | onnxscript/rewriter/_pattern_ir_test.py | test_op_pattern_builder_with_check | PatternIRTest | 70 | null |
microsoft/onnxscript | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import pattern
class MatchContextTest(unittest.TestCase):
def condition_using_context(context, x, y):
# Use context to check properties of the match
self.assertIs(context.model, model)
s... | 2) | self.assertEqual | numeric_literal | onnxscript/rewriter/match_context_test.py | condition_using_context | MatchContextTest | 37 | null |
microsoft/onnxscript | import contextlib
import io
import logging
import unittest
import numpy as np
import onnx.checker
import onnx.parser
import onnxscript.optimizer
import onnxscript.rewriter
from onnxscript import FLOAT, ir, script
from onnxscript import opset17 as op
from onnxscript.rewriter import pattern
from onnxscript.rewriter.rul... | 0) | self.assertEqual | numeric_literal | onnxscript/rewriter/pattern_test.py | test_failed_match | ReciprocalMulTest | 65 | null |
microsoft/onnxscript | 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) | assert_* | variable | tests/operator_test.py | test_plus_op | TestConverter | 26 | null |
microsoft/onnxscript | import unittest
from onnxscript import ir
from onnxscript.rewriter import pattern
class PatternBaseTest(unittest.TestCase):
def test_pattern_base_creation(self):
"""Test that PatternBase can be subclassed and used."""
class TestPattern(pattern.PatternBase):
def pattern(self, op, x):
... | "TestPattern") | self.assertEqual | string_literal | onnxscript/rewriter/pattern_base_test.py | test_pattern_base_creation | PatternBaseTest | 149 | null |
microsoft/onnxscript | 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... | "N") | self.assertEqual | string_literal | onnxscript/_internal/converter_test.py | test_set_value_info | TestConverter | 214 | null |
microsoft/onnxscript | import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.llama
from onnxscript._internal.version_utils import (
has_transformers,
ignore_warnings,
torch_older_than,
transformers_older_than,
)
... | results[0]) | assert_* | complex_expr | onnxscript/tools/transformers_models/llama_test.py | test_llama_export_cpu | TestExportLlama | 44 | null |
microsoft/onnxscript | import unittest
import numpy as np
import onnx
import parameterized
from onnxscript import FLOAT, INT64, ir, opset18, script
from onnxscript.rewriter.ort_fusions import shape_optimization
def _make_model(starts: list[int], ends: list[int]) -> onnx.ModelProto:
@script()
def model_script(
x: FLOAT["N"]... | opt) | assert_* | variable | onnxscript/rewriter/ort_fusions/shape_optimization_test.py | test_shape_optimization | ShapeOptimizationTest | 73 | null |
microsoft/onnxscript | import unittest
import numpy as np
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.val(name="v0... | ir.DataType.FLOAT16) | self.assertEqual | complex_expr | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_input_and_output_are_float16 | Bfloat16ConversionTest | 46 | null |
microsoft/onnxscript | import unittest
import onnx
import onnxscript.testing
from onnxscript import ir, optimizer
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
model = onnx.parser.parse_model(model_text)
return ir.serde.deserialize_model(model)
class FunctionFoldingTest(unittest.Tes... | "Concat") | self.assertEqual | string_literal | onnxscript/optimizer/_function_folding_test.py | test_sequence_concat | FunctionFoldingTest | 69 | null |
microsoft/onnxscript | import unittest
import numpy as np
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter.ort_fusions import (
group_normalization_merge_silu,
instance_to_group_normalization,
)
class ReplaceInstanceNormWithGroupNormTest(unittest.TestCase):
def test_group_norm_with_silu_submodule_is_replac... | 2) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/group_normalization_merge_silu_test.py | test_group_norm_with_silu_submodule_is_replaced_by_group_norm | ReplaceInstanceNormWithGroupNormTest | 60 | null |
microsoft/onnxscript | import unittest
import numpy as np
import onnx
import onnx_ir as ir
import onnxruntime as ort
from onnx_ir.passes.common import onnx_checker, shape_inference
from onnxscript import optimizer
from onnxscript.rewriter import testing
from onnxscript.rewriter.rules.common import fuse_hardswish_rules
class FuseHardSwishT... | inputs) | assert_* | variable | onnxscript/rewriter/rules/common/_fuse_hardswish_test.py | run_test | FuseHardSwishTest | 46 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from onnxscript import ir
from onnxscript.ir import _tape
class TestBuilder(unittest.TestCase):
def test_op_name(self):
op = _tape.Builder()
input_a = ir.Value(
name="input_a", type=ir.TensorType(ir.DataType.FLOAT), shape=ir.Shape((1... | "relu_node") | self.assertEqual | string_literal | onnxscript/ir/_tape_test.py | test_op_name | TestBuilder | 90 | null |
microsoft/onnxscript | 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) | self.assertEqual | variable | onnxscript/tensor_test.py | _check_values_and_shape | TestTensor | 16 | null |
microsoft/onnxscript | 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) | self.assertRaises | variable | onnxscript/tensor_test.py | test_multi_dimensional_tensor_errors_when_converted_to_int | TestTensor | 28 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnx_ir as ir
from onnxscript.onnx_types import FLOAT, INT64
class TensorTypeToIrTest(unittest.TestCase):
def test_multi_dim_int(self):
"""FLOAT[3, 4] maps to a 2-D tensor with dims (3, 4)."""
ts = FLOAT[3, 4].to_ir()
self.assert... | 3) | self.assertEqual | numeric_literal | onnxscript/onnx_types_test.py | test_multi_dim_int | TensorTypeToIrTest | 42 | null |
microsoft/onnxscript | from __future__ import annotations
import copy
import dataclasses
import numbers
import unittest
import warnings
from typing import Any, Collection, Iterable, Optional, Sequence
import numpy as np
import onnx
import onnx.backend.test.case.node as node_test
import onnxruntime as ort
from onnx.onnx_cpp2py_export import... | param.output) | assert_* | complex_expr | tests/common/onnx_script_test_case.py | run_converter_test | OnnxScriptTestCase | 252 | null |
microsoft/onnxscript | 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) | self.assertEqual | variable | tests/onnx_types_test.py | test_type_properties | TestOnnxTypes | 30 | null |
microsoft/onnxscript | 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) | assert_* | variable | tests/eager_test.py | test_dft_cfft_last_axis | TestOnnxSignal | 163 | null |
microsoft/onnxscript | import unittest
import numpy as np
from onnxscript import graph, script
from onnxscript._internal import evaluator
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):
... | TypeError) | self.assertRaises | variable | onnxscript/_internal/evaluator_test.py | test_it_raise_on_unknown_function_kwargs_by_default | ORTEvaluatorTest | 64 | null |
microsoft/onnxscript | import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.phi
from onnxscript._internal.version_utils import (
has_transformers,
ignore_warnings,
torch_older_than,
)
class TestExportPhi(unittest.Te... | results[0]) | assert_* | complex_expr | onnxscript/tools/transformers_models/phi_test.py | test_phi_export_cpu | TestExportPhi | 38 | null |
microsoft/onnxscript | 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) | self.assertEqual | variable | opgen/pygen_test.py | assert_code | PygenTest | 20 | null |
microsoft/onnxscript | from __future__ import annotations
import math
import unittest
import parameterized
import torch
from torch.onnx._internal.exporter import _testing
class TorchLibe2eTest(unittest.TestCase):
def test_aten_histc_float(self):
class Model(torch.nn.Module):
def forward(self, x):
... | got[0]) | assert_* | complex_expr | tests/function_libs/torch_lib/e2e_ops_tests.py | test_aten_histc_float | TorchLibe2eTest | 937 | null |
microsoft/onnxscript | import unittest
import numpy as np
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.val(name="v0... | "Cast") | self.assertEqual | string_literal | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_cast_nodes_are_inserted | Bfloat16ConversionTest | 62 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnx_ir.passes.common as common_passes
import packaging.version
import onnxscript.optimizer
import onnxscript.rewriter.ort_fusions._core as xformers
from onnxscript.rewriter.models._phi2lm import phi2lm_test
from onnxscript.rewriter.models._smollm_2 import sm... | mha_node.inputs[7]) | self.assertIsNotNone | complex_expr | onnxscript/rewriter/ort_fusions/mha_test.py | test_phi2lm | TestMultiHeadAttention | 115 | null |
microsoft/onnxscript | import unittest
import onnx.parser
import parameterized
from onnxscript import ir
from onnxscript.rewriter.ort_fusions import softmax
class SoftmaxUpcastRemovalTest(unittest.TestCase):
@parameterized.parameterized.expand(
[
("Softmax<axis=-1>",),
("Softmax",),
]
)
... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/softmax_test.py | test_softmax_upcast_to_fp32_is_removed_when_input_and_final_output_is_fp16 | SoftmaxUpcastRemovalTest | 35 | null |
microsoft/onnxscript | import unittest
from onnxscript import ir
from onnxscript.rewriter import pattern
class PatternTest(unittest.TestCase):
def test_pattern_impl_basic_functionality(self):
"""Test that Pattern can be created and used independently."""
def simple_pattern(op, x):
return op.Identity(x)
... | "SimpleIdentity") | self.assertEqual | string_literal | onnxscript/rewriter/pattern_base_test.py | test_pattern_impl_basic_functionality | PatternTest | 24 | null |
microsoft/onnxscript | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import pattern
class MatchContextTest(unittest.TestCase):
def test_context_usage_in_condition_function(self):
"""Test that MatchContext can be meaningfully used in condition functions."""
model_proto = onnx.par... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/match_context_test.py | test_context_usage_in_condition_function | MatchContextTest | 52 | null |
microsoft/onnxscript | 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
from onnxscript import ir
from onnxscript.onnx_opset import opset18
from onnxscript.rewriter import MatchingTracer, ... | (inputs,)) | assert_* | collection | onnxscript/rewriter/rules/common/_basic_rules_test.py | test_reshape_reshape_rule | ReshapeReshapeTest | 482 | null |
microsoft/onnxscript | import contextlib
import io
import logging
import unittest
import numpy as np
import onnx.checker
import onnx.parser
import onnxscript.optimizer
import onnxscript.rewriter
from onnxscript import FLOAT, ir, script
from onnxscript import opset17 as op
from onnxscript.rewriter import pattern
from onnxscript.rewriter.rul... | 9) | self.assertEqual | numeric_literal | onnxscript/rewriter/pattern_test.py | test_multiple_matches | ReciprocalMulTest | 105 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript._internal.sourceinfo import formatter
from onnxscript.onnx_opset import opset15 as op
class TestAssignedVarAnalysis(unittest.TestCase):
def assert_assigned_var... | {"x", "y"}) | assert_* | collection | onnxscript/_internal/analysis_test.py | test_basic_defs | TestAssignedVarAnalysis | 207 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnxscript.optimizer
from onnxscript.rewriter.models._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
class Tes... | op_types) | self.assertIn | variable | onnxscript/rewriter/ort_fusions/rms_normalization_test.py | test_smollm | TestRmsNormalization | 22 | null |
microsoft/onnxscript | import collections
import unittest
import parameterized
from onnxscript import ir
from onnxscript._internal import param_manipulation
TEST_INPUT = "TEST_INPUT"
class TestSeparateInputAttributesFromArguments(unittest.TestCase):
@parameterized.parameterized.expand(
[
(True,),
(Fal... | [TEST_INPUT]) | self.assertEqual | collection | onnxscript/_internal/param_manipulation_test.py | test_it_does_not_fill_default_when_fill_defaults_is_false | TestSeparateInputAttributesFromArguments | 223 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript._internal.sourceinfo import formatter
from onnxscript.onnx_opset import opset15 as op
class TestLivenessAnalysis(unittest.TestCase):
def analyze(self, fun):
... | [set(x) for x in expected]) | self.assertEqual | collection | onnxscript/_internal/analysis_test.py | assertLiveness | TestLivenessAnalysis | 42 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter.rules.common import _broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/rules/common/_broadcast_to_matmul_test.py | test_reshape_matmul_reshape_replace_when_nd_inputs_are_broadcastable | TwoReshapesMatMulReshapeTest | 42 | null |
microsoft/onnxscript | from __future__ import annotations
import inspect
import typing
import unittest
import onnxscript
from onnxscript._internal import values
class TracedOnnxFunctionTest(unittest.TestCase):
def test_it_preserves_the_function_signature(self):
opset = values.Opset("test", 1)
def function(input1, inp... | str) | self.assertEqual | variable | onnxscript/_internal/values_test.py | test_it_preserves_the_function_signature | TracedOnnxFunctionTest | 42 | null |
microsoft/onnxscript | import unittest
import numpy as np
import onnx
import onnx_ir as ir
import onnxruntime as ort
import parameterized
from onnx_ir.passes.common import onnx_checker, shape_inference
from onnxscript.rewriter import (
MatchingTracer,
MatchStatus,
RewriteRule,
testing,
)
from onnxscript.rewriter.rules.commo... | inputs) | assert_* | variable | onnxscript/rewriter/rules/common/_fuse_relus_clips_test.py | run_test | _FuseReluClipTestBase | 56 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import numpy as np
import onnx
import parameterized
import onnxscript.optimizer as optimizer
from onnxscript import ir
from onnxscript.optimizer import _constant_folding
class FoldConstantsTest(unittest.TestCase):
def _fold(
self,
model: ir.Mode... | 3) | self.assertEqual | numeric_literal | onnxscript/optimizer/_constant_folding_test.py | test_static_split_to_sequence_with_list_split_and_squence_at_is_folded_as_split | FoldConstantsTest | 308 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import numpy as np
import onnx_ir as ir
import onnx_ir.passes.common as common_passes
import packaging.version
import parameterized
import onnxscript
import onnxscript.optimizer
import onnxscript.rewriter.ort_fusions._core as xformers
from onnxscript import FLOAT, s... | 0) | self.assertGreater | numeric_literal | onnxscript/rewriter/ort_fusions/attention_test.py | test_model_with_mha | TestAttentionFusion | 153 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript._internal.sourceinfo import formatter
from onnxscript.onnx_opset import opset15 as op
class ConstantIfAnalysisTest(unittest.TestCase):
def test_constant_ifs(se... | True) | self.assertEqual | bool_literal | onnxscript/_internal/analysis_test.py | test_constant_ifs | ConstantIfAnalysisTest | 286 | null |
microsoft/onnxscript | import math
import unittest
import numpy as np
import onnx_ir as ir
import onnxscript.rewriter.ort_fusions._test_utils as test_utils
from onnxscript import FLOAT, script
from onnxscript import opset18 as op
from onnxscript.optimizer import optimize, remove_unused_nodes
from onnxscript.rewriter.ort_fusions.gelu import... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/gelu_test.py | test_gelu_fusion | GeluFusionTest | 49 | null |
microsoft/onnxscript | 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) | assert_* | variable | tests/function_libs/torch_lib/ops_test.py | run_test_output_match | 243 | null | |
microsoft/onnxscript | import unittest
import onnx
import onnxscript.testing
from onnxscript import ir, optimizer
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
model = onnx.parser.parse_model(model_text)
return ir.serde.deserialize_model(model)
class FunctionFoldingTest(unittest.Tes... | "fun1") | self.assertEqual | string_literal | onnxscript/optimizer/_function_folding_test.py | test_single_user_function_is_modified_inplace_after_folding | FunctionFoldingTest | 116 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript._internal.sourceinfo import formatter
from onnxscript.onnx_opset import opset15 as op
class ConstantIfAnalysisTest(unittest.TestCase):
def test_constant_ifs(se... | result) | self.assertIsNone | variable | onnxscript/_internal/analysis_test.py | test_constant_ifs | ConstantIfAnalysisTest | 290 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import numpy as np
import onnx
import parameterized
import onnxscript.optimizer as optimizer
from onnxscript import ir
from onnxscript.optimizer import _constant_folding
class FoldConstantsTest(unittest.TestCase):
def _fold(
self,
model: ir.Mode... | 4) | self.assertEqual | numeric_literal | onnxscript/optimizer/_constant_folding_test.py | test_static_split_to_sequence_with_scalar_split_and_squence_at_is_folded_as_split | FoldConstantsTest | 284 | null |
microsoft/onnxscript | 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... | s14) | self.assertIn | variable | onnxscript/_internal/converter_test.py | test_opset_import | TestConverter | 360 | null |
microsoft/onnxscript | import unittest
from onnxscript import ir
from onnxscript.rewriter import pattern
class RewriteRuleInheritanceTest(unittest.TestCase):
def test_rewrite_rule_still_works(self):
"""Test that existing RewriteRule functionality is preserved."""
def reciprocal_mul_pattern(op, x, y):
retur... | int) | self.assertIsInstance | variable | onnxscript/rewriter/pattern_base_test.py | test_rewrite_rule_still_works | RewriteRuleInheritanceTest | 229 | null |
microsoft/onnxscript | 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 numpy as np
import onnx
from onnx imp... | type(expected) | assert | func_call | onnxscript/testing/__init__.py | assert_onnx_proto_equal | 399 | null | |
microsoft/onnxscript | import unittest
import numpy as np
import onnx
import onnx_ir as ir
from onnx_ir.passes.common import onnx_checker, shape_inference
from parameterized import parameterized
from onnxscript.rewriter import MatchingTracer, MatchStatus, RewriteRule, testing
from onnxscript.rewriter.rules.common._min_max_to_clip import (
... | inputs) | assert_* | variable | onnxscript/rewriter/rules/common/_min_max_to_clip_test.py | run_test | _TestMinMaxToClipBase | 56 | null |
microsoft/onnxscript | import unittest
import onnx
import onnxscript.testing
from onnxscript import ir, optimizer
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
model = onnx.parser.parse_model(model_text)
return ir.serde.deserialize_model(model)
class FunctionFoldingTest(unittest.Tes... | 1) | self.assertEqual | numeric_literal | onnxscript/optimizer/_function_folding_test.py | test_fold_nested_if_function_succeeds | FunctionFoldingTest | 154 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
import numpy as np
import onnx_ir as ir
import onnx_ir.passes.common.shape_inference as shape_inference
import onnxruntime as ort
import onnxscript
import onnxscript.optimizer
from onnxscript import FLOAT, INT32, script
from onnxscript import opset18 as op
from onnx... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/gqa_packed_qkv_test.py | test_fuse_packed_qkv_for_gqa | PackedQKVforGQAFusionTest | 128 | null |
microsoft/onnxscript | import unittest
import onnx.parser
import parameterized
from onnxscript import ir
from onnxscript.rewriter.ort_fusions import softmax
class SoftmaxUpcastRemovalTest(unittest.TestCase):
@parameterized.parameterized.expand(
[
("Softmax<axis=-1>",),
("Softmax",),
]
)
... | 0) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/softmax_test.py | test_softmax_upcast_to_fp32_is_not_removed_when_input_is_not_fp16 | SoftmaxUpcastRemovalTest | 60 | null |
microsoft/onnxscript | import unittest
import numpy as np
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.val(name="v0... | ir.DataType.BFLOAT16) | self.assertEqual | complex_expr | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_cast_nodes_are_inserted | Bfloat16ConversionTest | 63 | null |
microsoft/onnxscript | 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)) | self.assertIn | func_call | onnxscript/backend/onnx_backend_test.py | test_enumerate_onnx_tests_run_one | TestOnnxBackEnd | 38 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Any
from onnxscript._internal import analysis, ast_utils
from onnxscript._internal.sourceinfo import formatter
from onnxscript.onnx_opset import opset15 as op
class TestAssignedVarAnalysis(unittest.TestCase):
def assert_assigned_var... | {"sum", "x", "square"}) | assert_* | collection | onnxscript/_internal/analysis_test.py | test_loop_defs | TestAssignedVarAnalysis | 230 | null |
microsoft/onnxscript | 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 | variable | onnxscript/tensor_test.py | _check_values_and_shape | TestTensor | 15 | null |
microsoft/onnxscript | import contextlib
import io
import logging
import unittest
import numpy as np
import onnx.checker
import onnx.parser
import onnxscript.optimizer
import onnxscript.rewriter
from onnxscript import FLOAT, ir, script
from onnxscript import opset17 as op
from onnxscript.rewriter import pattern
from onnxscript.rewriter.rul... | 4) | self.assertEqual | numeric_literal | onnxscript/rewriter/pattern_test.py | test_failed_match | ReciprocalMulTest | 66 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from typing import Any, Tuple
import numpy as np
import onnx
import onnx.reference
import onnx.reference.op_run
import onnx_ir.passes.common as common_passes
import parameterized
import onnxscript.rewriter.ort_fusions.fused_matmul_rule_sets as fused_matmul_rule_sets... | b) | assert_* | variable | onnxscript/rewriter/ort_fusions/fused_matmul_rule_sets_test.py | _check_model | TestFusedMatmulRules | 289 | null |
microsoft/onnxscript | 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)) | self.assertEqual | collection | tests/onnx_types_test.py | test_type_properties | TestOnnxTypes | 34 | null |
microsoft/onnxscript | 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... | s16) | self.assertIn | variable | onnxscript/_internal/converter_test.py | test_opset_import | TestConverter | 358 | null |
microsoft/onnxscript | from __future__ import annotations
import inspect
import typing
import unittest
import onnxscript
from onnxscript._internal import values
class TracedOnnxFunctionTest(unittest.TestCase):
def test_it_preserves_the_function_signature(self):
opset = values.Opset("test", 1)
def function(input1, inp... | int) | self.assertEqual | variable | onnxscript/_internal/values_test.py | test_it_preserves_the_function_signature | TracedOnnxFunctionTest | 40 | null |
microsoft/onnxscript | 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) | self.assertEqual | numeric_literal | onnxscript/_internal/converter_test.py | test_set_value_info | TestConverter | 210 | null |
microsoft/onnxscript | import unittest
import numpy as np
from onnxscript import ir
from onnxscript.rewriter import rewrite, testing
from onnxscript.rewriter.rules.common import (
affine_conv_fusion_rule,
conv_affine_fusion_rule,
)
class FuseConvAffineTest(unittest.TestCase):
def clone_model(self, model: ir.Model) -> ir.Model:... | inputs) | assert_* | variable | onnxscript/rewriter/rules/common/_fuse_conv_affine_test.py | test_conv_affine_fusion | FuseConvAffineTest | 62 | null |
microsoft/onnxscript | from __future__ import annotations
import unittest
from typing import Mapping, Sequence
import numpy as np
import onnx_ir as ir
import parameterized
from onnx_ir.passes.common import onnx_checker, shape_inference
from onnxscript.rewriter import pattern as orp
from onnxscript.rewriter import testing
from onnxscript.r... | err_msg) | self.assertRegex | variable | onnxscript/rewriter/rules/common/_fuse_pad_into_conv_test.py | test_unsupported_fuse_pad_into_conv | FuseConvPadTest | 218 | null |
microsoft/onnxscript | import unittest
import onnxscript.testing
from onnxscript import FLOAT, script
from onnxscript.onnx_opset import opset15 as op
from tests.common import testutils
class TypeAnnotationTest(testutils.TestBase):
def test_type_annotation(self):
"""Test type annotations."""
@script()
def static... | ValueError) | self.assertRaises | variable | onnxscript/_internal/type_annotation_test.py | test_type_annotation | TypeAnnotationTest | 64 | null |
microsoft/onnxscript | import unittest
from onnxscript.rewriter import _pattern_ir
class PatternIRTest(unittest.TestCase):
def test_value_pattern_with_check(self):
"""Test ValuePattern with check attribute."""
def value_checker(context, value):
return True
# Test creating ValuePattern with check
... | "test_value") | self.assertEqual | string_literal | onnxscript/rewriter/_pattern_ir_test.py | test_value_pattern_with_check | PatternIRTest | 20 | null |
microsoft/onnxscript | import unittest
import numpy as np
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter.ort_fusions import (
group_normalization_merge_silu,
instance_to_group_normalization,
)
class ReplaceInstanceNormWithGroupNormTest(unittest.TestCase):
def test_group_norm_with_silu_submodule_is_replac... | 1) | self.assertEqual | numeric_literal | onnxscript/rewriter/ort_fusions/group_normalization_merge_silu_test.py | test_group_norm_with_silu_submodule_is_replaced_by_group_norm | ReplaceInstanceNormWithGroupNormTest | 58 | null |
microsoft/onnxscript | 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) | self.assertEqual | numeric_literal | onnxscript/backend/onnx_backend_test.py | test_enumerate_onnx_tests | TestOnnxBackEnd | 31 | null |
microsoft/onnxscript | from __future__ import annotations
import contextlib
import copy
import dataclasses
import multiprocessing
import os
import pprint
import sys
import unittest
import warnings
from typing import (
Any,
Callable,
Collection,
Iterable,
Mapping,
Optional,
Sequence,
TypeVar,
)
import numpy a... | None | assert | none_literal | tests/function_libs/torch_lib/ops_test_common.py | dtype_op_schema_compatible | 462 | null | |
microsoft/onnxscript | 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... | None | assert | none_literal | tests/function_libs/torch_lib/ops_test.py | _should_skip_xfail_test_sample | 82 | null | |
microsoft/onnxscript | 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()) | assert | func_call | tests/optimizer/test_models.py | test_model_runs_and_matches_accuracy_after_optimization | ModelTest | 62 | null |
microsoft/onnxscript | from __future__ import annotations
import ast
import unittest
from typing import Sequence
import onnx_ir as ir
import onnxscript._internal.builder as builder
import onnxscript.testing
from onnxscript import script
from onnxscript.onnx_types import DOUBLE, FLOAT
_default_opset_version = 23
def _build(
trace_fun... | 2) | self.assertEqual | numeric_literal | onnxscript/_internal/builder_test.py | test_builder_basic | GraphBuilderTest | 103 | null |
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