wuzifan
wuzifan
I want to learn the python version pbft and change your docker-composer.yml, from node: extends: file: code/node_java/docker-compose.yml service: node_java volumes: - /var/run/docker.sock:/var/run/docker.sock environment: NODE_DEBUGGER: "False" NODE_DEBUG: "False" # API_HOST: "http://192.168.0.42"...
当我按照教程去跑multi gpus的服务时,发现我的服务能够很好的在gpu 1,2,3上启动,但是无法在gpu 0 上进行启动。 调研后,发现在 managed_model.py 这个文件中,有一个设置cuda_visiable_device的方法: ``` python @staticmethod def set_gpu_id(gpu_id=None): if gpu_id: os.environ["CUDA_VISIBLE_DEVICES"] = str(gpu_id) ``` 注意这里的if 的判断条件,当gpu_id =0 时,也会被认为条件失败,从而不设置cuda; 因此,需要手动将其修改为 if gpu_id is not None.
在边框回归中,我看到您的代码是这样 ``` PYTHON no_object_loss = tf.reduce_mean(tf.square((1 - y_true[:, 0]) * y_pred[:, 0])) object_loss = tf.reduce_mean(tf.square((y_true[:, 0]) * (y_pred[:, 0] - 1))) loss = (tf.reduce_mean(y_true[:, 0] * ( tf.reduce_sum(tf.square(y_true[:, 1:5] -...
### 🐛 Describe the bug I try to do validation step on every n steps. the training step goes well, but got this error here is my config: ### Environment...
` import cntext as ct res = ct.load_pkl_dict('DUTIR.pkl') for k,v in res['DUTIR'].items(): print(k,len(v)) print("开心" in v) ` 会发现 ’开心‘同时在’乐‘和’惧‘两个类别中出现