zhutian
35 lines
844 B
Python
35 lines
844 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("Min")
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@tf_func(tf.reduce_min)
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class Min(BackendHandler):
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@classmethod
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def get_attrs_processor_param(cls):
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return {"default": {"axis": 0}}
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@classmethod
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def _common(cls, node, **kwargs):
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values = [kwargs["tensor_dict"][inp] for inp in node.inputs]
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return [
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cls.make_tensor_from_onnx_node(
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node, inputs=[tf.stack(values)], **kwargs)
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]
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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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@classmethod
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def version_8(cls, node, **kwargs):
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return cls._common(node, **kwargs)
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