deb2ac21ce6952b865fb46a5943f7271029f430e,t3f/initializers.py,,tensor_ones,#Any#,10

Before Change

  

  shape = np.array(shape)
  if len(shape.shape) != 1:
    raise ValueError("shape should be 1d array")
  if np.any(shape < 1):
    raise ValueError("all elements in `shape` should be positive")
  if not all(isinstance(sh, np.integer) for sh in shape):
    raise ValueError("all elements in `shape` should be integers")
  num_dims = shape.size
  tt_rank = np.ones(num_dims + 1)

  tt_cores = num_dims * [None]

After Change

  

  shape = np.array(shape)
  _validate_input_parameters(is_tensor=True, shape=shape)
  num_dims = shape.size
  tt_rank = np.ones(num_dims + 1)

  tt_cores = num_dims * [None]

Instances