tensorflow::ops::Stack

Packs a list of N rank-R tensors into one rank-(R+1) tensor.

Summary

Packs the N tensors in values into a tensor with rank one higher than each tensor in values, by packing them along the axis dimension. Given a list of tensors of shape (A, B, C);

if axis == 0 then the output tensor will have the shape (N, A, B, C). if axis == 1 then the output tensor will have the shape (A, N, B, C). Etc.

For example:

# 'x' is [1, 4]
# 'y' is [2, 5]
# 'z' is [3, 6]
pack([x, y, z]) => [[1, 4], [2, 5], [3, 6]]  # Pack along first dim.
pack([x, y, z], axis=1) => [[1, 2, 3], [4, 5, 6]]

This is the opposite of unpack.

Args:

• scope: A Scope object
• values: Must be of same shape and type.

Optional attributes (see Attrs):

• axis: Dimension along which to pack. Negative values wrap around, so the valid range is [-(R+1), R+1).

Returns:

• Output: The packed tensor.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 Stack(
  const ::tensorflow::Scope & scope,
  ::tensorflow::InputList values
)

 Stack(
  const ::tensorflow::Scope & scope,
  ::tensorflow::InputList values,
  const Stack::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs Axis(
  int64 x
)