[英]Concatenate N pytorch tensors (of the same shape) generated from within loop
从循环中返回相同形状的张量,我想尽可能简洁地连接它们,并且尽可能以 Python 方式/pytorchly 方式连接它们。
import torch
for object_id in object_ids:
dataset = Dataset(object_id)
image_tensor = dataset.get_random_image_tensor()
if 'concatenated_image_tensors' in locals():
concatenated_image_tensors = torch.cat((merged_image_tensors, image_tensor))
else:
concatenated_image_tensors = image_tensor
有没有更好的办法?
一个好的方法是首先附加到一个 python列表,然后在末尾连接整个列表。 否则,每次调用torch.cat
时,您最终都会在内存中移动数据。
all_img = []
for object_id in object_ids:
dataset = Dataset(object_id)
image_tensor = dataset.get_random_image_tensor()
all_img.append(image_tensor)
all_img = torch.cat(all_img)
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