wandb: Information used for W&B support. entity: Name of the W&B Entity. project: Name of the W&B Project. run_name: Name of the W&B run. If you set "model name" as run name, you can see easily find run on Wandb dashboard. github_version: For recording. Not need to be ...
This is a benchmark project to make higher resolution versions of low resolution flower images: Getting started Be sure tosign upfor W&B. Clone this repository:git clone https://github.com/wandb/superres.git Runpip install -U -r requirements.txtto install requirements. ...
wandb.errors.UsageError 是一个由Weights & Biases(简称WandB)库抛出的错误,表示在使用WandB服务时,用户的某些操作不符合WandB的使用规定或格式要求。在这个特定的错误中,Invalid project name ‘runs/train‘: cannot contain characters ‘/,\\,#,?,%,:‘ 表示提供的项目名称无效,因为它包含了不被允许的字符。
wandb.init(dir="<path>",# set the wandb project where this run will be loggedproject="<random string>",name="<random string>",id="<random string>",# track hyperparameters and run metadataconfig=params,anonymous="allow",mode="offline") ...
Describe the bug I am having a weird issue where I change the location of all my code & data to a different location with more disk space, then I soft link my projects & data to those locations with more space. I assume there must be som...
Bug description If the project name is not passed (left as None), when creating a WandbLogger, the logger logs the global step differently. What version are you seeing the problem on? v2.3 How to reproduce the bug In the below minimal ex...
from wandb.apis import InternalApi, PublicApi File "C:\Users\Lenovo\AppData\Roaming\Python\Python39\site-packages\wandb\apis_init_.py", line 42, in from .internal import Api as InternalApi # noqa File "C:\Users\Lenovo\AppData\Roaming\Python\Python39\site-packages\wandb\apis\internal.py...
When calling wandb.sweep(), if no project is specified it will look into the sweep config and use the project specified there. On version 0.12.20, I just made this sweep.yaml: metric: {"name": "loss", "goal": "minimize"} method: "grid" parameters: { "dataset_name":{'values': ...
wandb.log({"predictions":table}, commit=False) return val_loss / len(valid_dl.dataset), correct / len(valid_dl.dataset) def eval(config): # Initialize W&B run run = wandb.init(project="wandb_automations", job_type="eval", config=config, settings={"disable_git": True}) # Log...
Why are these changes needed? This fixes an issue in therestorationflow of Trials. The_WandbLoggingActoractor is cleaned up as part of the trial completion flow, but not appropriately handled during restoration, leading to leaked actors.