报错信息 RuntimeError: stack expects each tensor to be equal size 明确指出,torch.stack() 函数期望所有输入的张量具有相同的形状,但在你的代码中,至少有一个张量的形状与其他张量不同。 2. 检查代码中涉及的所有tensor的维度和大小 假设你有以下代码片段,试图将三个张量堆叠起来: ...
具体错误:stack expects each tensor to be equal size, but got [1, 40, 40] at entry 0 and [3, 40, 40] at entry 1 错误的原因: 使用dataloader的时候,batchsize=32,这个时候,要求这32个输入的东西,维度是一致的。 我输入的是图片,基本上都是(3,40,40)的,但是有一张gif图片,维度是(1,40,40...
RuntimeError: stack expects each tensor to be equal size, but got [3, 128, 128] at entry 0 and [3, 106, 128] at entry 2 报错信息的意思是tensor的尺寸不对。这里我取的patch_size=128,对于3通道图片本应该得到tensor的尺寸是[3,128,128],但是后面莫名出现了尺寸为[3,106,128]的因此报错。一...
RuntimeError: stack expects each tensor to be equal size, but got [3,867,867] at entry0and [3,740,740] at entry1 原因: 最后发现DataLoader输入的数据集的大小必须是一致的,如果不一致需要使用collate_fn选项处理成一致的; 最后发现还是增加的随机裁剪的过程改变了数据的大小,不能保证最后是一致的;自...
RuntimeError: stack expects each tensor to be equal size, but got [3, 867, 867] at entry 0 and [3, 740, 740] at entry 1 1. 2. 3. 原因: 最后发现DataLoader输入的数据集的大小必须是一致的,如果不一致需要使用collate_fn选项处理成一致的; ...
RuntimeError: stack expects each tensor to be equal size, but got [3, 256, 341] at entry 0 数据集没处理好,重新处理一下。可能是标签读入和保存时的代码问题,如: image = cv2.imread(img_pth) 应改成如下所示,标签读入为灰度图 image = cv2.imread(img_pth,0)...
这种情况下,你还能发现batch_size为1时是不会报错的, batch_size为大于1会报错,报错的原因是同一batch中的entries的维数不一样 例如, batch = [[2,3,5, 1], [3,4,5,2,3]] 解决方案: 补齐,补成相同长度 #把所有向量的长度都补为max_lengthmulti = np.pad(multi, (0, max_length-multi.shape[0...
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stack expects each tensor to be equal size, but got [4, 72, 120] at entry 0 and [4, 80, 112] at entry 2 I keep on getting this regardless how I set up batch size, gradient accumulation etc. It goes aways when I have very few images, but at my current 5K + images, it has...
image_size: 640 / image_size: [640, 640] (tried both) and I'm still getting the same error RuntimeError: stack expects each tensor to be equal size, but got [3, 640, 494] at entry 0 and [3, 640, 384] at entry 1 I don't want to use batch=1 as it would slow down the...