zhutian
23 lines
631 B
Python
23 lines
631 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("Expand")
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class Expand(BackendHandler):
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@classmethod
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def version_8(cls, node, **kwargs):
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tensor_dict = kwargs["tensor_dict"]
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x, shape = tensor_dict[node.inputs[0]], tensor_dict[node.inputs[1]]
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# tf.math.multiply does not support bool therefore use int8
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if x.dtype is tf.bool:
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ones = tf.ones(shape, dtype=tf.int8)
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r = tf.cast(x, tf.int8) * ones
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return [tf.cast(r, tf.bool)]
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else:
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ones = tf.ones(shape, dtype=x.dtype)
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return [x * ones]
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