28 lines
668 B
Python
28 lines
668 B
Python
# Copyright (c) ONNX Project Contributors
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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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from onnx.reference.ops._op import OpRunUnaryNum
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def sigmoid(x):
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if x > 0:
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return 1 / (1 + np.exp(-x))
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return np.exp(x) / (1 + np.exp(x))
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class Sigmoid(OpRunUnaryNum):
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def __init__(self, onnx_node, run_params):
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OpRunUnaryNum.__init__(self, onnx_node, run_params)
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self.vf = np.vectorize(sigmoid)
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def _run(self, X):
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if len(X.shape) == 0:
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return (sigmoid(X).astype(X.dtype),)
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if X.size == 0:
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return (X,)
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return (self.vf(X).astype(X.dtype),)
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