My nano crashes and reboots by itself while installing Pytorch.
(I have tried more than 5 times. The result is always same.
(I also flashed my SD Card three times. Then I spent long hours to follow the installation and examples to reach the same point.)
Nano crashed and rebooted without any trace. Thus, I don’t have any trace to show you except what I did:
From the page,
This file has been truncated.
<p align="right"><sup><a href="segnet-camera-2.md">Back</a> | <a href="pytorch-cat-dog.md">Next</a> | </sup><a href="../README.md#hello-ai-world"><sup>Contents</sup></a>
# Transfer Learning with PyTorch
Transfer learning is a technique for re-training a DNN model on a new dataset, which takes less time than training a network from scratch. With transfer learning, the weights of a pre-trained model are fine-tuned to classify a customized dataset. In these examples, we'll be using the <a href="https://arxiv.org/abs/1512.03385">ResNet-18</a> network, although you can experiment with other networks too.
<p align="center"><a href="https://arxiv.org/abs/1512.03385"><img src="https://github.com/dusty-nv/jetson-inference/raw/python/docs/images/pytorch-resnet-18.png" width="600"></a></p>
Although training is typically performed on a PC, server, or cloud instance with discrete GPU(s) due to the often large datasets used and the associated computational demands, by using transfer learning we're able to re-train various networks onboard Jetson to get started with training and deploying our own DNN models.
<a href=https://pytorch.org/>PyTorch</a> is the machine learning framework that we'll be using, and example datasets along with training scripts are provided to use below, in addition to a camera-based tool for collecting and labelling your own training datasets.
## Installing PyTorch
If you optionally chose to install PyTorch back when you [built the repo](building-repo-2.md#installing-pytorch), it should already be installed on your Jetson to use. Otherwise, if you want to proceed with transfer learning, you can install it now:
Yes, I read one discussion, and using an argument for the installation script. (Although the person’s issue was not caching, but not being able to install. Anyway, I have tried, but it does not make any difference.)
I have also tried
Same result did I got!
I am at the verge of quitting. Please help me.
Without passing this step, I cannot follow the re-training example.