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81 lines
2.5 KiB
Python
81 lines
2.5 KiB
Python
# Copyright (c) ONNX Project Contributors
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#
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# SPDX-License-Identifier: Apache-2.0
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from __future__ import annotations
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from typing import Any
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import numpy as np
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import onnx
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from onnx.backend.test.case.base import Base
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from onnx.backend.test.case.node import expect
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def optional_get_element_reference_implementation(optional: Any | None) -> Any:
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assert optional is not None
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return optional
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class OptionalHasElement(Base):
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@staticmethod
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def export_get_element_tensor() -> None:
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optional = np.array([1, 2, 3, 4]).astype(np.float32)
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tensor_type_proto = onnx.helper.make_tensor_type_proto(
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elem_type=onnx.TensorProto.FLOAT,
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shape=[
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4,
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],
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)
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optional_type_proto = onnx.helper.make_optional_type_proto(tensor_type_proto)
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node = onnx.helper.make_node(
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"OptionalGetElement", inputs=["optional_input"], outputs=["output"]
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)
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output = optional_get_element_reference_implementation(optional)
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expect(
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node,
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inputs=[optional],
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outputs=[output],
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input_type_protos=[optional_type_proto],
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name="test_optional_get_element_optional_tensor",
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)
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expect(
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node,
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inputs=[optional],
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outputs=[output],
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input_type_protos=[tensor_type_proto],
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name="test_optional_get_element_tensor",
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)
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@staticmethod
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def export_get_element_sequence() -> None:
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optional = [np.array([1, 2, 3, 4]).astype(np.int32)]
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tensor_type_proto = onnx.helper.make_tensor_type_proto(
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elem_type=onnx.TensorProto.INT32,
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shape=[
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4,
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],
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)
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seq_type_proto = onnx.helper.make_sequence_type_proto(tensor_type_proto)
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optional_type_proto = onnx.helper.make_optional_type_proto(seq_type_proto)
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node = onnx.helper.make_node(
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"OptionalGetElement", inputs=["optional_input"], outputs=["output"]
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)
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output = optional_get_element_reference_implementation(optional)
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expect(
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node,
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inputs=[optional],
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outputs=[output],
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input_type_protos=[optional_type_proto],
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name="test_optional_get_element_optional_sequence",
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)
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expect(
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node,
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inputs=[optional],
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outputs=[output],
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input_type_protos=[seq_type_proto],
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name="test_optional_get_element_sequence",
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)
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