zhutian
31 lines
794 B
Python
31 lines
794 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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from onnx_tf.handlers.handler import tf_func
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@onnx_op("Elu")
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@tf_func(tf.nn.elu)
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class Elu(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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if alpha != 1.0:
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return [
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tf.cast(x < 0.0, tf.float32) * alpha * (tf.exp(x) - 1.0) +
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tf.cast(x >= 0.0, tf.float32) * x
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]
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else:
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return [cls.make_tensor_from_onnx_node(node, **kwargs)]
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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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