additionproblem.py
def load_split(data_dir=DEFAULT_DATA_DIR, length=100, val=True):
  """ Load an Addition Problem train, test split.

  Args:
    data_dir: A string. The data directory.
    length: An integer.
    val: A boolean. If true, return the validation set as the test set.

  Returns:
    A tuple, `(train_inputs, train_targets, test_inputs, test_targets)`.
    All inputs are 3-D float arrays with shape `[num_examples, length, 2]`.
    All targets are 1-D float arrays with shape `[num_examples]`.
  """
  outs = load(data_dir, length)
  train_inputs, train_targets, val_inputs, val_targets, test_inputs, test_targets = outs
  if val:
    test_inputs = val_inputs
    test_targets = val_targets
  return train_inputs, train_targets, test_inputs, test_targets
 Load an Addition Problem train, test split.

  Args:
    data_dir: A string. The data directory.
    length: An integer.
    val: A boolean. If true, return the validation set as the test set.

  Returns:
    A tuple, `(train_inputs, train_targets, test_inputs, test_targets)`.
    All inputs are 3-D float arrays with shape `[num_examples, length, 2]`.
    All targets are 1-D float arrays with shape `[num_examples]`.
  
Load an Addition Problem train, test split.
Load an Addition Problem train test split .
def load_split(data_dir=DEFAULT_DATA_DIR, length=100, val=True):
  outs = load(data_dir, length)
  train_inputs, train_targets, val_inputs, val_targets, test_inputs, test_targets = outs
  if val:
    test_inputs = val_inputs
    test_targets = val_targets
  return train_inputs, train_targets, test_inputs, test_targets
def load_split ( data_dir = DEFAULT_DATA_DIR , length = 100 , val = True ) : outs = load ( data_dir , length ) train_inputs , train_targets , val_inputs , val_targets , test_inputs , test_targets = outs if val : test_inputs = val_inputs test_targets = val_targets return train_inputs , train_targets , test_inputs , test_targets
Load an Addition Problem train, test split.
Load an Addition Problem train test split .
""" Load an Addition Problem train, test split.

  Args:
    data_dir: A string. The data directory.
    length: An integer.
    val: A boolean. If true, return the validation set as the test set.

  Returns:
    A tuple, `(train_inputs, train_targets, test_inputs, test_targets)`.
    All inputs are 3-D float arrays with shape `[num_examples, length, 2]`.
    All targets are 1-D float arrays with shape `[num_examples]`.
  """
A tuple, `(train_inputs, train_targets, test_inputs, test_targets)`.
All inputs are 3-D float arrays with shape `[num_examples, length, 2]`.
All targets are 1-D float arrays with shape `[num_examples]`.
A tuple ` ( train_inputs train_targets test_inputs test_targets ) ` . All inputs are 3 - D float arrays with shape ` [ num_examples length 2 ] ` . All targets are 1 - D float arrays with shape ` [ num_examples ] ` .
data_dir
A string. The data directory.
A string . The data directory .
length
None
val
A boolean. If true, return the validation set as the test set.
A boolean . If true return the validation set as the test set .