Open fabr0d opened 4 years ago
Hi, sorry to reply late.
For configuration, you can refer to this file https://github.com/heromanba/3D-R2N2-PyTorch/blob/master/experiments/scripts/res_gru_net.sh
For hardware,
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 430.50 Driver Version: 430.50 CUDA Version: 10.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce RTX 2060super Off | 00000000:01:00.0 On | N/A |
| 0% 44C P8 13W / 175W | 141MiB / 7977MiB | 3% Default |
+-------------------------------+----------------------+----------------------+
Dear author, could you provide us with information about the training that was done to obtain the pretrained model(ResidualGRUNet), such as the configuration used, the hardware, etc. Thanks in advance.