MultiSegmentPacker support for 2D dense tensor #244
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mattdangerw
approved these changes
Jun 29, 2022
| if rank_1: | ||
| inputs = [tf.expand_dims(x, 0) for x in inputs] | ||
| inputs = [tf.RaggedTensor.from_tensor(x) for x in inputs] | ||
| inputs = self._convert_inputs(inputs) |
There was a problem hiding this comment.
Might be slight easier/readable keep the loop outside.
inputs = [self._convert_dense(x) for x in input]
def _convert_dense(input):
if isinstance(input, tf.Tensor):
return tf.RaggedTensor.from_tensor(input)
return input
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