tf.raw_ops.Case

An n-way switch statement which calls a single branch function.

tf.raw_ops.Case(
    branch_index, input, Tout, branches, output_shapes=[], name=None
)
An n-way switch statement, implementing the following:
switch (branch_index) {
  case 0:
    output = branches[0](input);
    break;
  case 1:
    output = branches[1](input);
    break;
  ...
  case [[nbranches-1]]:
  default:
    output = branches[nbranches-1](input);
    break;
}

Args:

  • branch_index: A Tensor of type int32. The branch selector, an int32 Tensor.
  • input: A list of Tensor objects. A list of input tensors passed to the branch function.
  • Tout: A list of tf.DTypes. A list of output types.
  • branches: A list of functions decorated with @Defun that has length >= 1. A list of functions each of which takes 'inputs' and returns a list of tensors, whose types are the same as what every other branch returns.
  • output_shapes: An optional list of shapes (each a tf.TensorShape or list of ints). Defaults to [].
  • name: A name for the operation (optional).

Returns:

A list of Tensor objects of type Tout.