zhutian
27 lines
833 B
Python
27 lines
833 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("SequenceConstruct")
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class SequenceConstruct(BackendHandler):
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@classmethod
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def version_11(cls, node, **kwargs):
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# create an empty sequence first
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tensor_dict = kwargs["tensor_dict"]
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dtype = tensor_dict[node.inputs[0]].dtype
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input_sequence = tf.ragged.constant([], dtype=dtype)
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# insert tensors at the end of sequence
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for i in range(len(node.inputs)):
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input_tensor = tf.expand_dims(tensor_dict[node.inputs[i]], 0)
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if input_sequence.shape[0] == 0:
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output_seq = tf.RaggedTensor.from_tensor(input_tensor)
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else:
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output_seq = tf.concat([input_sequence, input_tensor], axis=0)
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input_sequence = output_seq
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return [output_seq]
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