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https://github.com/luxfi/onnx-source-snapshot.git
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94 lines
2.3 KiB
Python
94 lines
2.3 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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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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class Identity(Base):
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@staticmethod
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def export() -> None:
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node = onnx.helper.make_node(
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"Identity",
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inputs=["x"],
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outputs=["y"],
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)
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data = np.array(
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[
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[
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[
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[1, 2],
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[3, 4],
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]
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]
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],
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dtype=np.float32,
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)
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expect(node, inputs=[data], outputs=[data], name="test_identity")
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@staticmethod
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def export_sequence() -> None:
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node = onnx.helper.make_node(
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"Identity",
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inputs=["x"],
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outputs=["y"],
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)
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data = [
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np.array(
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[
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[
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[
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[1, 2],
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[3, 4],
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]
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]
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],
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dtype=np.float32,
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),
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np.array(
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[
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[
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[
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[2, 3],
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[1, 5],
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]
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]
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],
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dtype=np.float32,
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),
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]
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expect(node, inputs=[data], outputs=[data], name="test_identity_sequence")
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@staticmethod
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def export_identity_opt() -> None:
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ten_in_tp = onnx.helper.make_tensor_type_proto(
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onnx.TensorProto.FLOAT, shape=[5]
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)
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seq_in_tp = onnx.helper.make_sequence_type_proto(ten_in_tp)
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opt_in_tp = onnx.helper.make_optional_type_proto(seq_in_tp)
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identity_node = onnx.helper.make_node(
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"Identity", inputs=["opt_in"], outputs=["opt_out"]
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)
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x = [np.array([1, 2, 3, 4, 5]).astype(np.float32)]
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expect(
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identity_node,
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inputs=[x],
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outputs=[x],
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name="test_identity_opt",
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opset_imports=[onnx.helper.make_opsetid("", 16)],
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input_type_protos=[opt_in_tp],
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output_type_protos=[opt_in_tp],
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)
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