Use test-install rather than verify.py
@@ -46,7 +46,7 @@ Installing the library and dependencies is simple using `pip`.
That's it! You're now ready to build and train AllenNLP models.
AllenNLP installs a script when you install the python package, meaning you can run allennlp commands just by typing `allennlp` into a terminal.
-You can now test your installation with `./scripts/verify.py`.
+You can now test your installation with `allennlp test-install`.
_`pip` currently installs Pytorch for CUDA 9 only (or no GPU). If you require an older version,
please visit http://pytorch.org/ and install the relevant pytorch binary._
@@ -65,7 +65,7 @@ just run the following command to get an environment that will run on either the
docker run -it -p 8000:8000 --rm allennlp/allennlp:v0.6.1
```
-You can now test your installation with `./scripts/verify.py`.
+You can test the Docker environment with `docker run -it -p 8000:8000 --rm allennlp/allennlp:v0.6.1 test-install`.
### Installing from source
@@ -93,7 +93,10 @@ environment. This will make `allennlp` available on your
system but it will use the sources from the local clone you
made of the source repository.
-You can test your installation with `./scripts/verify.py`.
+You can test your installation with `bin/allennlp test-install`.
+The full development environment also requires the JVM and `perl`,
+which must be installed separately. `./scripts/verify.py` will run
+the full suite of tests used by our continuous build environment.
## Running AllenNLP
@@ -212,7 +215,7 @@ allennlp/allennlp latest b66aee6cb593 5 minutes a
You can run the image with `docker run --rm -it allennlp/allennlp:latest`. The `--rm` flag cleans up the image on exit and the `-it` flags make the session interactive so you can use the bash shell the Docker image starts.
-You can test your installation by running `./scripts/verify.py`.
+You can test your installation by running `allennlp test-install`.
## Citing
