zhutian
28 lines
710 B
Python
28 lines
710 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("Concat")
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@tf_func(tf.concat)
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class Concat(BackendHandler):
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@classmethod
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def _common(cls, node, **kwargs):
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inputs = [kwargs["tensor_dict"][inp] for inp in node.inputs]
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return [cls.make_tensor_from_onnx_node(node, inputs=[inputs])]
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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_4(cls, node, **kwargs):
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return cls._common(node, **kwargs)
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@classmethod
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def version_11(cls, node, **kwargs):
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return cls._common(node, **kwargs)
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