pytorch 保存、读取 tensor 数据
首先导包:import torchsave_torch = torch.Tensor([[1, 2, 3, 4],[2, 34, 5, 6]])保存 tensortorch.save(save_torch, 'test_save_tensor.pt')读取 tensorload_torch = torch.load('test_save_tensor.pt')完整测试代码import torchs
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首先导包:
import torch
save_torch = torch.Tensor([[1, 2, 3, 4],
[2, 34, 5, 6]])
保存 tensor
torch.save(save_torch, 'test_save_tensor.pt')
读取 tensor
load_torch = torch.load('test_save_tensor.pt')
完整测试代码
import torch
save_torch = torch.Tensor([[1, 2, 3, 4],
[2, 34, 5, 6]])
print(save_torch)
torch.save(save_torch, 'test_save_tensor.pt') # 保存
load_torch = torch.load('test_save_tensor.pt') # 读取
print(load_torch)
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