問題：RT，下一組數據集的又變成RuntimeError: The size of tensor a (30) must match the size of tensor b (36) at non-singleton dimension 0，后面tensor b的值在不斷變化
解決：全景分割里面初始設定的mask的數量是30個，數據集里的mask多於了30個，這時需要把初始mask數量調大
后續問題：初始設定的mask過大，會導致顯存占用過大，因為它會讓所有數據集的mask數擴大為設定的數量
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the size of tensor a (539) must match the size of tensor b (512) at non-singleton dimension 1
RuntimeError: The size of tensor a (40) must match the size of tensor b (41) at non-singleton dimens
【pytorch基礎-error】RuntimeError: stack expects each tensor to be equal size
Pytorch dataloader報錯 RuntimeError: stack expects each tensor to be equal size, but got [4] at entry 0 and [5] at entry 1
RuntimeError:stack expects each tensor to be equal size,but got [3,224,244] at entry 0 and [1,224,244] at entry 7
RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 1 #805
Pytorch報錯：view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
什么是Tensor
tensor
解決：RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 544 and 1935 in dimension 2 at ../aten/src/TH/generic/THTensor.cpp:711