4257bd12136ce3a135a4fab4ad0667dfccf8368d,variables.py,,get_tt_variable,#Any#Any#Any#Any#Any#Any#Any#Any#,7

Before Change

    with tf.variable_scope(name):
      i = 0
      while True:
        try:
          curr_core_var = tf.get_variable("core_%d" % i,
                                          dtype=dtype, trainable=trainable,
                                          collections=collections,
                                          caching_device=caching_device)
          variable_cores.append(curr_core_var)
          i += 1
        except ValueError as e:
          if i == 0:
            // The variable doesn"t exist or it does but scope.reuse == False,
            // raise ValueError.
            raise e
          else:
            // We found all the cores, the i-th core doesn"t exist.
            break
    // TODO: restore all attrubutes as well.
    v = tensor_train.TensorTrain(variable_cores, convert_to_tensors=False)
  else:
    // Create new variable.
    with tf.variable_scope(name):

After Change

      if v.name == path:
        found_v = v
        break
    if found_v is None:
      raise ValueError("ValueError: Variable does not exist, or was not "
                       "created with t3f.get_tt_variable(). Did you mean to "
                       "set reuse=None in VarScope?")
    with tf.variable_scope(name):
      // Try to get the first core through tf.get_variable to check that we don"t
      // violate reuse: it will raise a ValueError otherwise.
      tf.get_variable("core_0")

Instances