test cuda pytorch
import torch
torch.cuda.is_available()
>>> True
torch.cuda.current_device()
>>> 0
torch.cuda.device(0)
>>> <torch.cuda.device at 0x7efce0b03be0>
torch.cuda.device_count()
>>> 1
torch.cuda.get_device_name(0)
>>> 'GeForce GTX 950M'pytorch cuda tensor in module
import torch
import torch.nn as nn
class Model(nn.Module):
def __init__(self):
super(Model, self).__init__()
self.weight = torch.nn.Parameter(torch.zeros(2, 1))
self.bias = torch.nn.Parameter(torch.zeros(1))
self.register_buffer('a_constant_tensor', torch.tensor([0.5]))
def forward(self, x):
# linear regression completely from scratch,
# using parameters created in __init__
x = torch.mm(x, self.weight) + self.bias + self.a_constant_tensor
return x
model = Model().cuda()Copyright © 2021 Codeinu
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