zhutian
27 lines
721 B
Python
27 lines
721 B
Python
import tensorflow as tf
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from onnx_tf.handlers.backend_handler import BackendHandler
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from onnx_tf.handlers.handler import onnx_op
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@onnx_op("HardSigmoid")
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class HardSigmoid(BackendHandler):
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@classmethod
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def _common(cls, node, **kwargs):
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x = kwargs["tensor_dict"][node.inputs[0]]
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if "alpha" not in node.attrs and "beta" not in node.attrs:
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return [tf.keras.backend.hard_sigmoid(x)]
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alpha = node.attrs.get("alpha", 0.2)
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beta = node.attrs.get("beta", 0.5)
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return [tf.clip_by_value(x * alpha + beta, 0, 1)]
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@classmethod
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def version_1(cls, node, **kwargs):
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return cls._common(node, **kwargs)
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@classmethod
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def version_6(cls, node, **kwargs):
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return cls._common(node, **kwargs)
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