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Method concat

tensorflow/python/ops/tensor_array_ops.py:1117–1129  ·  view source on GitHub ↗

Return the values in the TensorArray as a concatenated `Tensor`. All of the values must have been written, their ranks must match, and and their shapes must all match for all dimensions except the first. Args: name: A name for the operation (optional). Returns: All the

(self, name=None)

Source from the content-addressed store, hash-verified

1115 return self._implementation.gather(indices, name=name)
1116
1117 def concat(self, name=None):
1118 """Return the values in the TensorArray as a concatenated `Tensor`.
1119
1120 All of the values must have been written, their ranks must match, and
1121 and their shapes must all match for all dimensions except the first.
1122
1123 Args:
1124 name: A name for the operation (optional).
1125
1126 Returns:
1127 All the tensors in the TensorArray concatenated into one tensor.
1128 """
1129 return self._implementation.concat(name=name)
1130
1131 @tf_should_use.should_use_result
1132 def unstack(self, value, name=None):

Callers 15

fnMethod · 0.95
_create_modelMethod · 0.45
_attentionMethod · 0.45
_create_modelMethod · 0.45
_multihead_attentionMethod · 0.45
_bst_towerMethod · 0.45
_create_modelMethod · 0.45
_create_modelMethod · 0.45
_auxiliary_lossMethod · 0.45

Calls

no outgoing calls