torch max Code Answer's
torch max is a python package that provides implementations of the torch and torch.nn libraries. It is intended to be compatible with the original torch package and built on top of it.It also includes a number of other packages, including pytorch-dev, which contains development files for Torch Max; PyTorch-doc, which provides documentation for Torch Max; PyTorch-master, which contains the latest version of Torch Max; and PyTorch-nightly, which contains the nightly build of Torch Max.
torch.max
>>> a = torch.randn(4, 4)
>>> a
tensor([[-1.2360, -0.2942, -0.1222, 0.8475],
[ 1.1949, -1.1127, -2.2379, -0.6702],
[ 1.5717, -0.9207, 0.1297, -1.8768],
[-0.6172, 1.0036, -0.6060, -0.2432]])
>>> torch.max(a, 1)
torch.return_types.max(values=tensor([0.8475, 1.1949, 1.5717, 1.0036]), indices=tensor([3, 0, 0, 1]))torch.max pytorch
>>> a = torch.randn(4, 4)
>>> a
tensor([[-1.2360, -0.2942, -0.1222, 0.8475],
[ 1.1949, -1.1127, -2.2379, -0.6702],
[ 1.5717, -0.9207, 0.1297, -1.8768],
[-0.6172, 1.0036, -0.6060, -0.2432]])
#torch.max(input, dim, keepdim=False, out=None)
>>> torch.max(a, 1)
torch.return_types.max(values=tensor([0.8475, 1.1949, 1.5717, 1.0036]), indices=tensor([3, 0, 0, 1]))torch-max is a library for symbolic regression, which is a method of finding the maximum of one or more variables. It can be used to calculate the best fit line for a set of data points and then find the value of each point that maximizes its distance from that line.
