upupbo

我在看AlexNet代码的时候发现程序中有两种写法，nn.Conv2d(3, 64, kernel_size=11, stride=4, padding=2)， nn.Conv2D(channels=96, kernel_size=11, strides=4, activation=‘relu‘),都是第一层卷积的，96这种方法一看就懂，但是为什么另一个是64

python版的Paddle Inference推理代码推理的时候batch越大会导致copy_from_cpu耗时越长，导致多batch耗时没有明显减少，这块帮忙跟进一下，看看有没有优化方案，谢谢

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python版的Paddle Inference推理代码推理的时候batch越大会导致copy_from_cpu耗时越长，导致多batch耗时没有明显减少，这块帮忙跟进一下，看看有没有优化方案，谢谢

您好，请问您可以分享一下画混淆矩阵结果图的demo嘛，谢谢

RuntimeError: Error(s) in loading state_dict for PSMNet:Missing key(s) in state_dict: "cost_net.cnn.conv0.0.net.0.weight"

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self.disp_score = torch.range(0, max_disp - 1) # [D] Traceback (most recent call last): File "train.py", line 215, in main(args) File "train.py", line 75, in main model.load_state_dict(state['state_dict']) File "/home/cb/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 719,...

Segmentation fault (core dumped)

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为什么我一运行，就出这个错，环境都对，期待您的回答，谢谢。

Fastai0.4.0 and pytorch0.4.0 cannot be installed at the same time, so it is impossible to run after integration into a complete program. I want to ask how to solve it?

Hello, could you please provide CVNet training scripts and tutorials? Thank you

欢迎加入深度学习双目视觉，群聊号码：1018698420

欢迎加入深度学习双目视觉，群聊号码：1018698420

Can you provide training codes

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Can you provide training codes