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anyone here?I need QR code,could you help me

because dilation convolution is not support in cudnn5,using cuda8+cudnn7,install mxnet from src will be ok

I got the same error,did you sovle it?

try to cout some info in inf_test(): cost:0 grads:-0.525744 grads:0.0961584 grads:-0.399427 grads:0.0964459 grads:0.0771148 grads:0.0607103 grads:0.0556602 grads:0.0437479 grads:0.0542926 grads:0.0666461 grads:0.093121 grads:0.0668003 grads:0.0612226 grads:0.0953744 grads:0.0579237

测试2.3.2 cuda11.6存在同样问题,2.2.2+cuda11.2版本正常

> CUDA_VISIBLE_DEVICES=0,1代表可见性,main.py这个程序有权利使用两张显卡,但你设置--nproc_per_node=1致使程序只用了一张卡(卡0)测试,当你--nproc_per_node=2程序会将它看见的卡0和卡1两张卡都用来测试,你用两个卡测试肯定会比一个卡测试指标高,我用八张卡测试比用四张卡测试指标也高,并且测试喂入batch数也会影响指标(作者原始batch数最佳)。上述仅为我个人观点。 同一个模型,同一个样本,推理结果唯一,指标不唯一?

> Hi, would you open an issue to discuss this problem? Since we have no plan to train OpenGait in a multi-machine manner, it may be hard to justify your...