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paddle. ger ( x: Tensor, y: Tensor, name: str | None = None, *, out: Tensor | None = None ) → Tensor

Outer product of two Tensors.

Input is flattened if not already 1-dimensional.

Note

Alias Support: The parameter name input can be used as an alias for x, and vec2 can be used as an alias for y. For example, outer(input=tensor_x, vec2=tensor_y, ...) is equivalent to outer(x=tensor_x, y=tensor_y, ...).

Parameters

x (Tensor) – An N-D Tensor or a Scalar Tensor. alias: input.
y (Tensor) – An N-D Tensor or a Scalar Tensor. alias: vec2.
name (str|None, optional) – Name for the operation (optional, default is None). For more information, please refer to api_guide_Name.
out (Tensor|None, optional) – The output Tensor. If set, the result will be stored in this Tensor.

Returns

The outer-product Tensor.

Return type

Tensor

Examples

           >>> import paddle
>>> x = paddle.arange(1, 4).astype('float32')
>>> y = paddle.arange(1, 6).astype('float32')
>>> out = paddle.outer(x, y)
>>> print(out)
Tensor(shape=[3, 5], dtype=float32, place=Place(cpu), stop_gradient=True,
[[1. , 2. , 3. , 4. , 5. ],
 [2. , 4. , 6. , 8. , 10.],
 [3. , 6. , 9. , 12., 15.]])

          