zhutian
24 lines
618 B
Python
24 lines
618 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("ThresholdedRelu")
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class ThresholdedRelu(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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alpha = node.attrs.get("alpha", 1.0)
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epsilon = 1e-5
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return [tf.nn.relu(x) - tf.nn.relu(tf.sign(alpha - x + epsilon) * x)]
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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_10(cls, node, **kwargs):
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return cls._common(node, **kwargs)
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