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https://github.com/luxfi/onnx-source-snapshot.git
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46 lines
1.2 KiB
Python
46 lines
1.2 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 HannWindow(Base):
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@staticmethod
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def export() -> None:
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# Test periodic window
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node = onnx.helper.make_node(
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"HannWindow",
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inputs=["x"],
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outputs=["y"],
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)
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size = np.int32(10)
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a0 = 0.5
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a1 = 0.5
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y = a0 - a1 * np.cos(2 * np.pi * np.arange(0, size, 1, dtype=np.float32) / size)
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expect(
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node, inputs=[size], outputs=[y.astype(np.float32)], name="test_hannwindow"
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)
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# Test symmetric window
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node = onnx.helper.make_node(
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"HannWindow", inputs=["x"], outputs=["y"], periodic=0
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)
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size = np.int32(10)
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a0 = 0.5
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a1 = 0.5
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y = a0 - a1 * np.cos(
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2 * np.pi * np.arange(0, size, 1, dtype=np.float32) / (size - 1)
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)
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expect(
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node,
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inputs=[size],
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outputs=[y.astype(np.float32)],
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name="test_hannwindow_symmetric",
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)
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