prod¶

tripy.prod(input: Tensor, dim: int | Sequence[int] | None = None, keepdim: bool = False) → Tensor[source]¶

Returns a new tensor containing the product of the elements of the input tensor along the specified dimension.

Parameters:

input (Tensor) – The input tensor.
dim (int | Sequence[int] | None) – The dimension or dimensions along which to reduce. If this is not provided, all dimensions are reduced.
keepdim (bool) – Whether to retain reduced dimensions in the output. If this is False, reduced dimensions will be squeezed.

Returns:

A new tensor.

Return type:

Tensor

Example

Example¶

input = tp.reshape(tp.arange(6, dtype=tp.float32), (2, 3))
output = tp.prod(input, 0)

>>> input
tensor(
    [[0.0000, 1.0000, 2.0000],
     [3.0000, 4.0000, 5.0000]], 
    dtype=float32, loc=gpu:0, shape=(2, 3))
>>> output
tensor([0.0000, 4.0000, 10.0000], dtype=float32, loc=gpu:0, shape=(3,))