- Solution 1
sudo apt-get remove --purge nvidia-*
- solution 2
sudo apt-get remove --purge '^nvidia-.*'
| def summarize_tensor(x): | |
| return f"\033[34m{str(tuple(x.shape)).ljust(24)}\033[0m (\033[31mmin {x.min().item():+.4f}\033[0m / \033[32mmean {x.mean().item():+.4f}\033[0m / \033[33mmax {x.max().item():+.4f}\033[0m)" | |
| class ModelActivationPrinter: | |
| def __init__(self, module, submodules_to_log): | |
| self.id_to_name = { | |
| id(module): str(name) for name, module in module.named_modules() | |
| } | |
| self.submodules = submodules_to_log |
| # Modified by Shoufa Chen, | |
| import math | |
| import random | |
| import copy | |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| from fvcore.nn import sigmoid_focal_loss_jit | |
| from slowfast.models.losses import focal_loss_wo_logits_jit |
| """ | |
| A PyTorch version of `botnet`. | |
| Original TensorFlow version: https://gist.github.com/aravindsrinivas/56359b79f0ce4449bcb04ab4b56a57a2 | |
| """ | |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| BATCH_NORM_DECAY = 1 - 0.9 # pytorch batch norm `momentum = 1 - counterpart` of tensorflow |
sudo apt-get remove --purge nvidia-*
sudo apt-get remove --purge '^nvidia-.*'