Function convert_n_to_tensor

tensorflow/python/framework/ops.py:1366–1394

Converts `values` to a list of `Tensor` objects. Args: values: A list of objects that can be consumed by `tf.convert_to_tensor()`. dtype: (Optional.) The required `DType` of the returned `Tensor` objects. name: (Optional.) A name prefix to used when a new `Tensor` is created, in

(values, dtype=None, name=None, preferred_dtype=None)

def convert_n_to_tensor(values, dtype=None, name=None, preferred_dtype=None):
  """Converts `values` to a list of `Tensor` objects.

  Args:
    values: A list of objects that can be consumed by `tf.convert_to_tensor()`.
    dtype: (Optional.) The required `DType` of the returned `Tensor` objects.
    name: (Optional.) A name prefix to used when a new `Tensor` is created, in
      which case element `i` will be given the name `name + '_' + i`.
    preferred_dtype: Optional element type for the returned tensors, used when
      dtype is None. In some cases, a caller may not have a dtype in mind when
      converting to a tensor, so preferred_dtype can be used as a soft
      preference.  If the conversion to `preferred_dtype` is not possible, this
      argument has no effect.

  Returns:
    A list of `Tensor` and/or `IndexedSlices` objects.

  Raises:
    TypeError: If no conversion function is registered for an element in
      `values`.
    RuntimeError: If a registered conversion function returns an invalid
      value.
  """
  return internal_convert_n_to_tensor(
      values=values,
      dtype=dtype,
      name=name,
      preferred_dtype=preferred_dtype,
      as_ref=False)


def convert_to_tensor_or_composite(value, dtype=None, name=None):