how to load data onto gpu machine learning

Thomas McFadden answered on September 10, 2023 Popularity 1/10 Helpfulness 1/10

answer how to load data onto gpu machine learning

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how to load data onto gpu machine learning

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class SampleDataset(Dataset):
    def __init__(self, device='cuda'):
        super(SampleDataset, self).__init__()
        self.data = torch.ones(1000)
        self.data = self.data.to(device)
    
    def __len__(self):
        return len(self.data)

    def __getitem__(self, i):
        element = self.data[i]
        return element

Popularity 1/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: gpu load machine-learning python

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Contributed on Sep 10 2023

Thomas McFadden

0 Answers Avg Quality 2/10

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import torch
from torch.utils.data import Dataset, DataLoader

class CustomDataset(Dataset):
    def __init__(self):
        self.data = # Load your data here

    def __getitem__(self, index):
        return self.data[index]

    def __len__(self):
        return len(self.data)

dataset = CustomDataset()
dataloader = DataLoader(dataset, batch_size=32, shuffle=True)

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Source: saturncloud.io

Tags: gpu load machine-learning python

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Contributed on Sep 10 2023

Thomas McFadden

0 Answers Avg Quality 2/10

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how to load data onto gpu machine learning

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