I’m using pytorch 1.6.0,mmdetection 2.2.0, maskrcnn for inference. In Resnet the first conv2d seem to consume about 300M and not release after that. I’m using the “nvidia-smi -lms 100” and windows Task Manager to monitor the usage of GPU, so There is any wrong in monitor the usage of GPU or just pytorch leak GPU memory in conv2d?