[ 仅 API 调用方式不一致 ]torch.utils.data.random_split
torch.utils.data.random_split
torch.utils.data.random_split(dataset, lengths, generator=<torch._C.Generator object>)
paddle.io.random_split
paddle.io.random_split(dataset, lengths, generator=None)
两者功能一致,但调用方式不一致,具体如下:
转写示例
# PyTorch 写法
class Data(torch.utils.data.Dataset):
def __init__(self):
self.x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
def __getitem__(self, idx):
return self.x[idx]
def __len__(self):
return len(self.x)
data = Data()
datasets = torch.utils.data.random_split(data, [3, 7])
# Paddle 写法
class Data(paddle.io.Dataset):
def __init__(self):
self.x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
def __getitem__(self, idx):
return self.x[idx]
def __len__(self):
return len(self.x)
data = Data()
datasets = paddle.io.random_split(data, [3, 7])
