zhutian
21 lines
644 B
Python
21 lines
644 B
Python
import numpy as np
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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.common import data_type
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from onnx import mapping
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@onnx_op("SequenceEmpty")
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class SequenceEmpty(BackendHandler):
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@classmethod
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def version_11(cls, node, **kwargs):
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default_dtype = mapping.NP_TYPE_TO_TENSOR_TYPE[np.dtype('float32')]
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dtype = data_type.onnx2tf(node.attrs.get("dtype", default_dtype))
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ragged = tf.RaggedTensor.from_row_lengths(values=[], row_lengths=[])
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sparse = tf.cast(ragged.to_sparse(), dtype)
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return [tf.RaggedTensor.from_sparse(sparse)]
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