Webb24 aug. 2024 · x = torch.randn (480, 640).view (-1, 3, 480, 640) So torch.randn (480,640) will generate a tensor of shape (480,640) right. further view (-1,3,480,640) will try to reshape … Webb15 juni 2024 · Its very rare anyone is going to go through all of it. But based on your error, it seems like you are trying to reshape view to invalid dimensions. The shape you provided [1,14,256,192] has 688,128 elements but you are trying to reshape it to 147456 elements. You have to see what the actual dimensions if input are before the reshape.
RuntimeError: shape
Webb2 juli 2024 · @Tianxiaomo, Thanks.Do we need to edit the parameters like anchors when we use custom dataset? @SenWang-NEU I solved the problem by choosing Cfg.use_darknet_cfg = False and use the Cfg configure.. I trained the model for about 10 hours by 2x 2080 Ti, The training courses look like this, Webb14 maj 2024 · Since your input shape is [batch_size, 3, 21, 21], the flattened activation before the linear layer will have the shape [batch_size, 16, 2, 2], so you should change the … sohar live score
RuntimeError: shape
Webb1 nov. 2024 · Assuming your input is shaped (batch_size, 3, 150, 150), then the output shape of relu3 will be (32, 75, 75). As such the following fully connected layer must have exactly 32*75*75 input features. However you need to flatten this tensor as you did in your code with a view: output = output.view (output.size (0), -1). Webb31 mars 2024 · shape ‘ [16, 1, 28, 28]’ is invalid for input of size 6272 错误场景: 解决方案: 问题原因: reshape参数过于详细: 默认每次加载的矩阵都是16*1*28*28 data = … Webb10 dec. 2024 · Tryng to run it by myself to try to solve your problem I luck also: net params and snn.snn.Leaky. import torch from torch import nn from torch.utils.data import DataLoader class SpikingNeuralNetwork(nn.Module): """ Parameters in SpikingNeuralNetwork class: 1. number_inputs: Number of inputs to the SNN. sohar lyrics