torch.cummax#

torch.cummax(input, dim, *, out=None)#

Returns a namedtuple (values, indices) where values is the cumulative maximum of elements of input in the dimension dim. And indices is the index ___location of each maximum value found in the dimension dim.

$$y_i = max(x_1, x_2, x_3, \dots, x_i)$$

Parameters

• input (Tensor) – the input tensor.

• dim (int) – the dimension to do the operation over

Keyword Arguments

out (tuple, optional) – the result tuple of two output tensors (values, indices)

Example:

>>> a = torch.randn(10)
>>> a
tensor([-0.3449, -1.5447,  0.0685, -1.5104, -1.1706,  0.2259,  1.4696, -1.3284,
     1.9946, -0.8209])
>>> torch.cummax(a, dim=0)
torch.return_types.cummax(
    values=tensor([-0.3449, -0.3449,  0.0685,  0.0685,  0.0685,  0.2259,  1.4696,  1.4696,
     1.9946,  1.9946]),
    indices=tensor([0, 0, 2, 2, 2, 5, 6, 6, 8, 8]))