| import torch as th | |
| class NLL_OHEM(th.nn.NLLLoss): | |
| """ Online hard example mining. | |
| Needs input from nn.LogSotmax() """ | |
| def __init__(self, ratio): | |
| super(NLL_OHEM, self).__init__(None, True) | |
| self.ratio = ratio |
| import json | |
| import time | |
| from flask import Flask, render_template | |
| from flask_socketio import SocketIO, send, emit | |
| from server import State, Player | |
| import numpy as np | |
| app = Flask(__name__, static_folder='./static') | |
| app.config['SECRET_KEY'] = 'secret!' | |
| socketio = SocketIO(app, cors_allowed_origins='*') |
| ''' | |
| https://arxiv.org/abs/2312.00858 | |
| 1. put this file in ComfyUI/custom_nodes | |
| 2. load node from <loaders> | |
| start_step, end_step: apply this method when the timestep is between start_step and end_step | |
| cache_interval: interval of caching (1 means no caching) | |
| cache_depth: depth of caching | |
| ''' |
List of freely available resources to study computer graphics programming.