You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This requires that some additional python dependencies are available on the worker machines (including keras and tensorflow). These can be installed (on the worker machines) with:
13
+
This requires that some additional python dependencies are available on the worker machines (including tensorflow). Before starting the worker, be sure to install the conda environment and activate it:
14
14
```
15
-
pip install -r requirements.txt
15
+
conda env create --file environment.worker.yml
16
+
conda activate deepforge-keras
16
17
```
17
18
18
-
where `requirements.txt` is the requirements file in the root of this repository.
19
+
Similarly, be sure to install the server dependencies and activate the respective conda environment:
20
+
```
21
+
conda env create --file environment.server.yml
22
+
conda activate deepforge-keras-server
23
+
```
19
24
20
25
## Development and Debugging Setup
21
26
deepforge-keras is set up and developed just like a standalone webgme app. First, install the deepforge-keras following:
0 commit comments