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# Copyright (c) ONNX Project Contributors | ||
# | ||
# SPDX-License-Identifier: Apache-2.0 | ||
from __future__ import annotations | ||
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import numpy as np | ||
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import onnx | ||
from onnx.backend.test.case.base import Base | ||
from onnx.backend.test.case.node import expect | ||
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def swish(x: np.ndarray, alpha: np.float16) -> np.ndarray: | ||
return x * 1 / (1 + np.exp(np.negative(x * alpha))) | ||
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class Swish(Base): | ||
@staticmethod | ||
def export() -> None: | ||
node = onnx.helper.make_node( | ||
"Swish", | ||
inputs=["x"], | ||
outputs=["y"], | ||
) | ||
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x = np.array([3, 4, 5]).astype(np.float32) | ||
y = swish(x, alpha=1.0) | ||
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expect(node, inputs=[x], outputs=[y], name="test_swish") | ||
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