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36 lines
843 B
Python
36 lines
843 B
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 Size(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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"Size",
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inputs=["x"],
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outputs=["y"],
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)
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x = np.array(
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[
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[1, 2, 3],
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[4, 5, 6],
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]
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).astype(np.float32)
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y = np.array(6).astype(np.int64)
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expect(node, inputs=[x], outputs=[y], name="test_size_example")
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x = np.random.randn(3, 4, 5).astype(np.float32)
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y = np.array(x.size).astype(np.int64)
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expect(node, inputs=[x], outputs=[y], name="test_size")
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