(tensor, lengths, max_length, batch_size)
return combined_padded
Combine a batch of variable-length tensors into a single tensor.
Combine a batch of variable-length tensors into a single tensor.
Combine a batch of variable - length tensors into a single tensor .
def combine_tensor_batch(tensor, lengths, max_length, batch_size):
  """Combine a batch of variable-length tensors into a single tensor."""
  combined = tf.concat([tensor[i, :lengths[i]] for i in range(batch_size)],
                       axis=0)
  final_length = max_length * batch_size
  combined_padded = tf.pad(combined,
                           [(0, final_length - tf.shape(combined)[0])] +
                           [(0, 0)] * (combined.shape.rank - 1))
  combined_padded.set_shape([final_length] + combined_padded.shape[1:])
  return combined_padded
def combine_tensor_batch ( tensor , lengths , max_length , batch_size ) : combined = tf . concat ( [ tensor [ i , : lengths [ i ] ] for i in range ( batch_size ) ] , axis = 0 ) final_length = max_length * batch_size combined_padded = tf . pad ( combined , [ ( 0 , final_length - tf . shape ( combined ) [ 0 ] ) ] + [ ( 0 , 0 ) ] * ( combined . shape . rank - 1 ) ) combined_padded . set_shape ( [ final_length ] + combined_padded . shape [ 1 : ] ) return combined_padded