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 | onnxscript/optimizer/_constant_folding_test.py | test_fold_add | self.assertEqual | numeric_literal | 42 | 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
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_constant_folding_test.py | test_fold_if_cond | self.assertEqual | numeric_literal | 48 | 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
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_constant_folding_test.py | test_static_split_to_sequence_with_scalar_split_and_squence_at_is_folded_as_split | self.assertEqual | numeric_literal | 76 | 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
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
... | 4) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_constant_folding_test.py | test_static_split_to_sequence_with_list_split_and_squence_at_is_folded_as_split | self.assertEqual | numeric_literal | 52 | 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
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_constant_folding_test.py | test_static_split_to_sequence_with_list_split_no_keepdims_and_squence_at_is_folded_as_split_with_squeeze | self.assertEqual | numeric_literal | 51 | 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
def _create_model(model_text: str) -> ir.Model:
"""Create a model from the given text."""
... | 7) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_function_folding_test.py | test_identity | self.assertEqual | numeric_literal | 43 | 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) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_function_folding_test.py | test_identity | self.assertEqual | numeric_literal | 44 | 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... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_function_folding_test.py | test_sequence_concat | self.assertEqual | numeric_literal | 35 | 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... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_optimizer_test.py | test_static_split_to_sequence_with_uneven_split_proto | self.assertEqual | numeric_literal | 66 | import unittest
import onnx
import onnxscript.ir as ir
import onnxscript.optimizer as optimizer
class OptimizerTest(unittest.TestCase):
def _model_proto(self) -> onnx.ModelProto:
return onnx.parser.parse_model(
"""
<
ir_version: 8,
opset... | 2) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/broadcast_to_matmul_test.py | test_reshape_matmul_reshape_replace_when_nd_inputs_are_broadcastable | self.assertEqual | numeric_literal | 39 | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter import broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO: Update when ... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/broadcast_to_matmul_test.py | test_reshape_matmul_reshape_replace_when_nd_inputs_are_broadcastable | self.assertEqual | numeric_literal | 40 | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter import broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO: Update when ... | 4) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/broadcast_to_matmul_test.py | test_reshape_matmul_reshape_replace_when_nd_inputs_are_broadcastable | self.assertEqual | numeric_literal | 39 | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter import broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO: Update when ... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/broadcast_to_matmul_test.py | test_reshape_matmul_reshape_does_not_replace_when_output_sizes_do_not_match | self.assertEqual | numeric_literal | 89 | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter import broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO: Update when ... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/broadcast_to_matmul_test.py | test_reshape_matmul_reshape_does_not_replace_when_output_sizes_do_not_match | self.assertEqual | numeric_literal | 90 | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter import broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO: Update when ... | 7) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/broadcast_to_matmul_test.py | test_reshape_matmul_reshape_remain_one_reshape_when_inputs_are_not_broadcastable | self.assertEqual | numeric_literal | 45 | from __future__ import annotations
import unittest
import onnx.parser
import onnx.shape_inference
import parameterized
from onnxscript import ir
from onnxscript.rewriter import broadcast_to_matmul
def _infer_shapes(model: ir.Model) -> ir.Model:
"""Run shape inference on the IR model."""
# TODO: Update when ... | 5) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/cast_constant_of_shape_test.py | test_cast_after_constant_of_shape_is_fused | self.assertEqual | numeric_literal | 25 | import unittest
import onnx.checker
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import cast_constant_of_shape
class CastConstantOfShapeTest(unittest.TestCase):
def test_cast_after_constant_of_shape_is_fused(self):
input_model_proto = onnx.parser.parse_model(
"""
... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/collapse_slices_test.py | test_slice_is_redundant_when_ends_is_greater_than_input_shape | self.assertEqual | numeric_literal | 32 | 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_slice_is_redun... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/collapse_slices_test.py | test_slice_is_redundant_when_ends_is_greater_than_input_shape | self.assertEqual | numeric_literal | 33 | 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_slice_is_redun... | 5) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/collapse_slices_test.py | test_slice_pattern_is_not_matched_when_input_is_dynamic | self.assertEqual | numeric_literal | 33 | 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_slice_pattern... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/gemm_to_matmul_add_test.py | test_reshape_gemm_reshape_replace_when_nd_inputs_are_broadcastable | self.assertEqual | numeric_literal | 27 | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import gemm_to_matmul_add
class ReshapeGemmReshapeTest(unittest.TestCase):
def test_reshape_gemm_reshape_replace_when_nd_inputs_are_broadcastable(self):
model_proto = onnx.parser.parse_model(
"""
... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/gemm_to_matmul_add_test.py | test_reshape_gemm_reshape_replace_when_nd_inputs_are_broadcastable | self.assertEqual | numeric_literal | 28 | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import gemm_to_matmul_add
class ReshapeGemmReshapeTest(unittest.TestCase):
def test_reshape_gemm_reshape_replace_when_nd_inputs_are_broadcastable(self):
model_proto = onnx.parser.parse_model(
"""
... | 4) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/gemm_to_matmul_add_test.py | test_reshape_gemm_reshape_remain_when_input_last_dim_and_second_last_dim_not_matched | self.assertEqual | numeric_literal | 29 | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import gemm_to_matmul_add
class ReshapeGemmReshapeTest(unittest.TestCase):
def test_reshape_gemm_reshape_remain_when_input_last_dim_and_second_last_dim_not_matched(
self,
):
model_proto = onnx.parser.parse_... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/gemm_to_matmul_add_test.py | test_reshape_gemm_reshape_remain_when_input_last_dim_and_second_last_dim_not_matched | self.assertEqual | numeric_literal | 30 | import unittest
import onnx.parser
from onnxscript import ir
from onnxscript.rewriter import gemm_to_matmul_add
class ReshapeGemmReshapeTest(unittest.TestCase):
def test_reshape_gemm_reshape_remain_when_input_last_dim_and_second_last_dim_not_matched(
self,
):
model_proto = onnx.parser.parse_... | 5) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_graph_pattern_builder | self.assertEqual | numeric_literal | 105 | 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.... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_shared_root_value_test | self.assertEqual | numeric_literal | 105 | 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) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_shared_root_value_extra_use | self.assertEqual | numeric_literal | 112 | 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.... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/no_op_test.py | _check | self.assertEqual | numeric_literal | 15 | import unittest
import onnx.parser
import parameterized
from onnxscript import ir
from onnxscript.rewriter import no_op
class NoOpTest(unittest.TestCase):
def _check(self, model_text: str) -> None:
model_proto = onnx.parser.parse_model(model_text)
model = ir.serde.deserialize_model(model_proto)
... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_cast_nodes_are_inserted | self.assertEqual | numeric_literal | 48 | 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.... | 5) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/attention_test.py | test_model_with_mha | self.assertGreater | numeric_literal | 146 | from __future__ import annotations
import unittest
import numpy as np
import packaging.version
import parameterized
import onnxscript
import onnxscript.ir as ir
import onnxscript.rewriter.ort_fusions._core as xformers
from onnxscript import FLOAT, script
from onnxscript import opset18 as op
from onnxscript.ir.passes... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/bias_gelu_test.py | test_bias_gelu_fusion | self.assertEqual | numeric_literal | 41 | import unittest
import numpy as np
import onnxscript
import onnxscript.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... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/cos_sin_cache_test.py | test_cos_sin_fusion | self.assertGreater | numeric_literal | 50 | from __future__ import annotations
import unittest
from parameterized import parameterized
import onnxscript.optimizer
from onnxscript.rewriter.ort_fusions._rotary_embedding_models import (
partial_rotary_test_case,
test_case_1,
test_case_2,
)
from onnxscript.rewriter.ort_fusions._smollm_1 import smollm_... | 0) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/fuse_packed_qkv_gqa_test.py | test_fuse_packed_qkv_for_gqa | self.assertEqual | numeric_literal | 123 | from __future__ import annotations
import unittest
import numpy as np
import onnxruntime as ort
import onnxscript
import onnxscript.ir as ir
import onnxscript.ir.passes.common.shape_inference as shape_inference
import onnxscript.optimizer
from onnxscript import FLOAT, INT32, script
from onnxscript import opset18 as ... | 1) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/ort_fusions/fuse_xformers_test.py | test_fuse_xformers | self.assertEqual | numeric_literal | 21 | from __future__ import annotations
import unittest
import onnxscript.optimizer
from onnxscript.rewriter.ort_fusions._core import fuse_xformers
from onnxscript.rewriter.ort_fusions._smollm_1 import smollm_test_1
from onnxscript.rewriter.ort_fusions._test_utils import assert_allclose, ort_run
class TestFuseXformers(un... | 3) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/converter_test.py | test_none_as_input_for_op_with_no_schema | self.assertEqual | string_literal | 168 | 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... | "") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/serde_test.py | test_deserialize_graph_handles_unsorted_graph | self.assertEqual | string_literal | 39 | 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_unsort... | "Op_1") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/serde_test.py | test_deserialize_graph_handles_unsorted_graph | self.assertEqual | string_literal | 40 | 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_unsort... | "Op_0") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_function_folding_test.py | test_single_user_function_is_modified_inplace_after_folding | self.assertEqual | string_literal | 34 | 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") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_transpose_transpose_onnxscript | self.assertEqual | string_literal | 150 | 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.... | "perm") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_cast_nodes_are_inserted | self.assertEqual | string_literal | 55 | 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.... | "Cast") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_name_authority_test.py | test_register_or_name_value | self.assertEqual | string_literal | 12 | import unittest
from onnxscript import ir
from onnxscript.ir import _name_authority
class NameAuthorityTest(unittest.TestCase):
def test_register_or_name_value(self):
name_authority = _name_authority.NameAuthority()
value = ir.Value()
name_authority.register_or_name_value(value)
s... | "val_0") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_optimizer_test.py | test_static_split_to_sequence_with_uneven_split_proto | self.assertEqual | string_literal | 68 | import unittest
import onnx
import onnxscript.ir as ir
import onnxscript.optimizer as optimizer
class OptimizerTest(unittest.TestCase):
def _model_proto(self) -> onnx.ModelProto:
return onnx.parser.parse_model(
"""
<
ir_version: 8,
opset... | "Split") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_enums_test.py | test_repr_and_str_return_name | self.assertEqual | string_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_repr_and_str_return_name(self):
self.assertEqual(str(_enums.DataType.DOUBLE), | "DOUBLE") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/optimizer/_function_folding_test.py | test_sequence_concat | self.assertEqual | string_literal | 36 | 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") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_shared_root_value_test | self.assertEqual | string_literal | 106 | 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.... | "SinCos") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_load | self.assertEqual | string_literal | 65 | 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... | "const_0") | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/onnx_types_test.py | test_type_properties | self.assertEqual | complex_expr | 16 | 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,... | ...) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/generic_pattern_test.py | test_graph_pattern_builder | assert_* | complex_expr | 109 | 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.... | got[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 | self.assertIsInstance | complex_expr | 49 | 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... | ir.Tensor) | 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.assertEqual | complex_expr | 79 | 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... | func.name) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tools/transformers_models/llama_test.py | test_llama_export_cpu | assert_* | complex_expr | 47 | import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.tools.training_helper
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.llama
from onnxscript._internal.version_utils import (
has_transformers,
ignore_warnings,
torch_olde... | results[0]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tools/transformers_models/mistral_test.py | test_mistral_export_cpu | assert_* | complex_expr | 49 | import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.optimizer
import onnxscript.rewriter
import onnxscript.tools.training_helper
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.mistral
from onnxscript._internal.version_utils import (
... | results[0]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tools/transformers_models/phi3_test.py | test_phi3_export_cpu | assert_* | complex_expr | 48 | import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.optimizer
import onnxscript.rewriter
import onnxscript.tools.training_helper
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.phi3
from onnxscript._internal.version_utils import (
... | results[0]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tools/transformers_models/phi_test.py | test_phi_export_cpu | assert_* | complex_expr | 36 | import copy
import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.tools.training_helper
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.phi
from onnxscript._internal.version_utils import (
has_transformers,
ignore_warnings,
... | results[0]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/eager_mode_test.py | test_sequence_input | self.assertIsInstance | complex_expr | 30 | import unittest
import numpy as np
import parameterized
import onnxscript
import onnxscript.evaluator
import onnxscript.tensor
from onnxscript import opset17 as op
from onnxscript import script
class EagerModeTest(unittest.TestCase):
evaluator: onnxscript.evaluator.Evaluator
def setUp(self):
self.de... | np.ndarray) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/shape_inference_test.py | test_pass | self.assertIsNone | complex_expr | 38 | 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 ... | output.shape) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/shape_inference_test.py | test_pass | self.assertIsNone | complex_expr | 39 | 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 ... | output.dtype) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tools/transformers_models/phi_test.py | test_phi_dort_static | assert_* | complex_expr | 46 | import copy
import sys
import unittest
import numpy as np
import onnxruntime
import torch
import onnxscript.tools.training_helper
import onnxscript.tools.transformers_models
import onnxscript.tools.transformers_models.phi
from onnxscript._internal.version_utils import (
has_transformers,
ignore_warnings,
... | gradients[0]) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/common/onnx_script_test_case.py | run_converter_test | assert_* | complex_expr | 242 | 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) | 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.assertIsNone | complex_expr | 50 | 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... | val_add.shape) | 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.assertIsNone | complex_expr | 51 | 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... | val_add.dtype) | 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.assertIsNone | complex_expr | 52 | 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... | val_mul.shape) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/_pass_infra_test.py | test_pass_results_can_be_used_as_pass_input | self.assertIs | complex_expr | 32 | from __future__ import annotations
import unittest
from onnxscript import ir
from onnxscript.ir.passes import _pass_infra
class PassBaseTest(unittest.TestCase):
def test_pass_results_can_be_used_as_pass_input(self):
class TestPass(_pass_infra.PassBase):
@property
def in_place(self... | result_2.model) | 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 | complex_expr | 30 | 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... | x_tensor.device) | 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.assertTrue | complex_expr | 59 | 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... | result.modified) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/shape_inference_test.py | test_pass | self.assertTrue | complex_expr | 43 | 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 ... | result.modified) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/topological_sort_test.py | test_topological_sort_modified_true | self.assertTrue | complex_expr | 22 | import unittest
from onnxscript import ir
from onnxscript.ir.passes.common import topological_sort
class TopologicalSortPassTest(unittest.TestCase):
def setUp(self):
self.node_a = ir.node("A", inputs=[], name="node_a")
self.node_b = ir.node("B", inputs=self.node_a.outputs, name="node_b")
s... | result.modified) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/ir/public_api_test.py | test_correct_module_names | self.assertTrue | complex_expr | 173 | from __future__ import annotations
import importlib
import itertools
import os
import pathlib
import pkgutil
import unittest
from typing import Iterable
import onnxscript.ir
IR_NAMESPACE = "onnxscript.ir"
def _find_all_importables(pkg):
"""Find all importables in the project.
Return them in order.
"""
... | not failure_list) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_io_test.py | test_save_with_external_data_invalidates_obsolete_external_tensors | self.assertIsInstance | complex_expr | 65 | 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... | ir.ExternalTensor) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/values_test.py | test_init | self.assertEqual | complex_expr | 19 | 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.__name__) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/inliner_test.py | _check | self.assertEqual | complex_expr | 65 | from __future__ import annotations
import unittest
from typing import Callable, Sequence
import onnx
from onnx import parser
from onnxscript import ir
from onnxscript.ir.passes.common import inliner
def _name_checker(renameable: Sequence[str] | None) -> Callable[[str, str], bool]:
"""Construct function to check... | expected_value.type) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_input_and_output_are_float16 | self.assertEqual | complex_expr | 45 | 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.... | ir.DataType.FLOAT16) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/passes/common/inliner_test.py | _check | self.assertEqual | complex_expr | 67 | from __future__ import annotations
import unittest
from typing import Callable, Sequence
import onnx
from onnx import parser
from onnxscript import ir
from onnxscript.ir.passes.common import inliner
def _name_checker(renameable: Sequence[str] | None) -> Callable[[str, str], bool]:
"""Construct function to check... | expected_value.value) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/rewriter/onnxruntime/bfloat16_utils/bfloat16_converter_test.py | test_cast_nodes_are_inserted | self.assertEqual | complex_expr | 56 | 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.... | ir.DataType.BFLOAT16) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/ir/_enums_test.py | test_enums_are_the_same_as_spec | self.assertEqual | complex_expr | 16 | 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_enums_are_the_same_as_spec(self):
self.assertEqual(_enums.DataType.FLOAT, onnx.TensorProto.FLOAT)
... | onnx.TensorProto.INT8) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/function_libs/torch_lib/ops_test.py | _should_skip_xfail_test_sample | assert | none_literal | 53 | 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 | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tests/function_libs/torch_lib/ops_test_common.py | dtype_op_schema_compatible | assert | none_literal | 384 | 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 | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | tools/ir/model_zoo_test/model_zoo_test.py | test_model | assert | none_literal | 27 | 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:
... | None | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
microsoft/onnxscript | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | train | train | onnxscript/tensor_test.py | test_scalar_tensor_supports_bool_conversion | self.assertEqual | bool_literal | 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... | True) | f5327f8849e3ce2a5c7c674b7dc62d67c0111ace | 621 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/backends/test_backend.py | test_split_api | assert | none_literal | 7 | from .backend import Backend
def test_split_api():
backend = Backend('test')
assert backend.name == 'test'
assert backend.api is | None | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/backends/test_backend.py | test_split_api | assert | string_literal | 6 | from .backend import Backend
def test_split_api():
backend = Backend('test')
assert backend.name == | 'test' | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/backends/test_backend.py | test_split_api | assert | string_literal | 11 | from .backend import Backend
def test_split_api():
backend = Backend('test')
assert backend.name == 'test'
assert backend.api is None
backend = Backend('test/ALSA')
assert backend.name == 'test'
assert backend.api == | 'ALSA' | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/backends/test_rtmidi.py | test_expand_alsa_port_name | assert | string_literal | 14 | from .rtmidi import _expand_alsa_port_name
def test_expand_alsa_port_name():
port_names = sorted(['A:port 128:0',
'B:port 129:0',
'B:port 129:0',
'Z:port 130:0'])
def expand(name):
return _expand_alsa_port_name(port_names, name... | 'A:port 128:0' | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/backends/test_rtmidi.py | test_expand_alsa_port_name | assert | string_literal | 17 | from .rtmidi import _expand_alsa_port_name
def test_expand_alsa_port_name():
port_names = sorted(['A:port 128:0',
'B:port 129:0',
'B:port 129:0',
'Z:port 130:0'])
def expand(name):
return _expand_alsa_port_name(port_names, name... | 'B:port 129:0' | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/backends/test_rtmidi.py | test_expand_alsa_port_name | assert | string_literal | 24 | from .rtmidi import _expand_alsa_port_name
def test_expand_alsa_port_name():
port_names = sorted(['A:port 128:0',
'B:port 129:0',
'B:port 129:0',
'Z:port 130:0'])
def expand(name):
return _expand_alsa_port_name(port_names, name... | 'invalid name' | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decode.py | test_channel | assert | numeric_literal | 10 | from pytest import raises
from .decode import decode_message
def sysex(data):
"""Make sysex data."""
return [0xf0] + list(data) + [0xf7]
def test_channel():
assert decode_message(b'\x91\x00\x00')['channel'] == | 1 | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decode.py | test_sysex | assert | variable | 12 | from pytest import raises
from .decode import decode_message
def sysex(data):
"""Make sysex data."""
return [0xf0] + list(data) + [0xf7]
def test_sysex():
data = b'\xf0\x01\x02\x03\xf7'
msg = {'type': 'sysex', 'data': (1, 2, 3), 'time': 0}
assert decode_message(data) == | msg | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_sysex | assert | collection | 14 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [SYSEX] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_realtime | assert | collection | 14 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [CLOCK] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_channel_message | assert | collection | 14 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [NOTE_ON] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_double_realtime | assert | collection | 14 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [CLOCK, CLOCK] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_realtime_inside_sysex | assert | collection | 20 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [CLOCK, SYSEX] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_stray_data_bytes | assert | collection | 15 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [NOTE_ON, CLOCK] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_decoder.py | test_realtime_inside_sysex | assert | collection | 21 | from .decode import Decoder
NOTE_ON = dict(type='note_on', note=1, velocity=2, channel=0, time=0)
SYSEX = dict(type='sysex', data=(1, 2, 3), time=0)
EMPTY_SYSEX = dict(type='sysex', data=(), time=0)
CLOCK = dict(type='clock', time=0)
def decode(data):
"""Decode data and return as a list of message dict."""
re... | [CLOCK, EMPTY_SYSEX] | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_encode.py | test_encode_decode_all | assert | variable | 21 | from .specs import SPEC_BY_STATUS
from .encode import encode_message
from .decode import decode_message
def test_encode_decode_all():
"""Encode and then decode all messages on all channels.
Each data byte is different so that the test will fail if the
bytes are swapped during encoding or decoding.
"""... | msg_bytes | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_messages.py | test_decode_pitchwheel | assert | numeric_literal | 8 | from pytest import raises
from .specs import MIN_PITCHWHEEL, MAX_PITCHWHEEL, MIN_SONGPOS, MAX_SONGPOS
from .messages import Message, SysexData
def test_decode_pitchwheel():
assert Message.from_hex('E0 00 00').pitch == MIN_PITCHWHEEL
assert Message.from_hex('E0 00 40').pitch == | 0 | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_messages.py | test_from_dict_default_values | assert | variable | 9 | from pytest import raises
from .specs import MIN_PITCHWHEEL, MAX_PITCHWHEEL, MIN_SONGPOS, MAX_SONGPOS
from .messages import Message, SysexData
def test_from_dict_default_values():
msg = Message('note_on', channel=0, note=0, time=0)
data = {'type': 'note_on'}
assert Message.from_dict(data) == | msg | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_messages.py | test_dict_sysex_data | assert | func_call | 10 | from pytest import raises
from .specs import MIN_PITCHWHEEL, MAX_PITCHWHEEL, MIN_SONGPOS, MAX_SONGPOS
from .messages import Message, SysexData
def test_dict_sysex_data():
msg = Message('sysex', data=(1, 2, 3))
data = msg.dict()
assert data == {'type': 'sysex', 'data': [1, 2, 3], 'time': 0}
assert type... | type([]) | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_messages.py | test_sysex_data_accepts_different_types | assert | collection | 7 | from pytest import raises
from .specs import MIN_PITCHWHEEL, MAX_PITCHWHEEL, MIN_SONGPOS, MAX_SONGPOS
from .messages import Message, SysexData
def test_sysex_data_accepts_different_types():
assert Message('sysex', data=(0, 1, 2)).data == | (0, 1, 2) | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_messages.py | test_decode_songpos | assert | variable | 7 | from pytest import raises
from .specs import MIN_PITCHWHEEL, MAX_PITCHWHEEL, MIN_SONGPOS, MAX_SONGPOS
from .messages import Message, SysexData
def test_decode_songpos():
assert Message.from_hex('F2 00 00').pos == | MIN_SONGPOS | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
mido/mido | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | train | train | mido/messages/test_messages.py | test_decode_songpos | assert | variable | 8 | from pytest import raises
from .specs import MIN_PITCHWHEEL, MAX_PITCHWHEEL, MIN_SONGPOS, MAX_SONGPOS
from .messages import Message, SysexData
def test_decode_songpos():
assert Message.from_hex('F2 00 00').pos == MIN_SONGPOS
assert Message.from_hex('F2 7F 7F').pos == | MAX_SONGPOS | 4d96942dcedba46d8ab4c35d03fcef215a2a0ed2 | 105 | v2_extractor_at_anchor |
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