### get available versions
apt-cache madison nvidia-docker2 nvidia-container-runtime
nvidia-docker2 | 2.0.3+docker18.03.0-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker17.12.1-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker17.12.0-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker17.09.1-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker17.09.0-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker17.06.2-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker17.03.2-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker1.13.1-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.3+docker1.12.6-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-docker2 | 2.0.2+docker17.12.0-1 | https://nvidia.github.io/nvidia-docker/ubuntu16.04/amd64 Packages
nvidia-container-runtime | 2.0.0+docker17.12.1-1 | https://nvidia.github.io/nvidia-container-runtime/ubuntu16.04/amd64 Packages
nvidia-container-runtime | 2.0.0+docker17.12.0-1 | https://nvidia.github.io/nvidia-container-runtime/ubuntu16.04/amd64 Packages
nvidia-container-runtime | 2.0.0+docker17.09.1-1 | https://nvidia.github.io/nvidia-container-runtime/ubuntu16.04/amd64 Packages
nvidia-container-runtime | 2.0.0+docker17.09.0-1 | https://nvidia.github.io/nvidia-container-runtime/ubuntu16.04/amd64 Packages
nvidia-container-runtime | 2.0.0+docker17.06.2-1 | https://nvidia.github.io/nvidia-container-runtime/ubuntu16.04/amd64 Packages
Docker and the nvidia-docker2 run fine.
Docker version 18.03.1-ce, build 9ee9f40
NVIDIA Docker: 2.0.3
Client:
Version: 18.03.1-ce
API version: 1.37
Go version: go1.9.5
Git commit: 9ee9f40
Built: Thu Apr 26 07:17:20 2018
OS/Arch: linux/amd64
Experimental: false
Orchestrator: swarm
Server:
Engine:
Version: 18.03.1-ce
API version: 1.37 (minimum version 1.12)
Go version: go1.9.5
Git commit: 9ee9f40
Built: Thu Apr 26 07:15:30 2018
OS/Arch: linux/amd64
Experimental: false
sudo docker run --runtime=nvidia --rm nvidia/cuda:10.0-base nvidia-smi
Thu May 30 03:07:56 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce RTX 208... Off | 00000000:02:00.0 On | N/A |
| 29% 36C P8 3W / 250W | 10456MiB / 10988MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
I have downloaded the prosit1 model with config.yml, model.yml and weight_32_0.10211.hdf5
however when I run make server MODEL=/home/xxx/prosit/prosit1/
the server will start and greet me, but uploading a file with curl will do so, but then break.
curl -F "peptides=@examples/peptidelist.csv" http://127.0.0.1:5000/predict/
sudo make server MODEL=/home/xxx/prosit/prosit1
nvidia-docker build -qf Dockerfile -t prosit .
sha256:d224c2ac898b32662b6265ae7a37dd1872dd98defe4cf86c6fd3acbe7f006c2e
nvidia-docker run -it \
-v "/home/xxx/prosit/prosit1":/root/model/ \
-e CUDA_VISIBLE_DEVICES=0 \
-p 5000:5000 \
prosit python3 -m prosit.server
Using TensorFlow backend.
/root/prosit/model.py:38: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(f)
/usr/local/lib/python3.5/dist-packages/keras/engine/saving.py:349: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(yaml_string)
* Serving Flask app "server" (lazy loading)
* Environment: production
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
* Debug mode: off
* Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
[2019-05-30 03:00:20,819] ERROR in app: Exception on /predict/ [POST]
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/flask/app.py", line 2311, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.5/dist-packages/flask/app.py", line 1834, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.5/dist-packages/flask/app.py", line 1737, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "/usr/local/lib/python3.5/dist-packages/flask/_compat.py", line 36, in reraise
raise value
File "/usr/local/lib/python3.5/dist-packages/flask/app.py", line 1832, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.5/dist-packages/flask/app.py", line 1818, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "/root/prosit/server.py", line 28, in predict
result = prediction.predict(tensor, model, model_config)
File "/root/prosit/prediction.py", line 14, in predict
model.compile(optimizer="adam", loss="mse")
File "/usr/local/lib/python3.5/dist-packages/keras/engine/training.py", line 333, in compile
sample_weight, mask)
File "/usr/local/lib/python3.5/dist-packages/keras/engine/training_utils.py", line 403, in weighted
score_array = fn(y_true, y_pred)
File "/usr/local/lib/python3.5/dist-packages/keras/losses.py", line 14, in mean_squared_error
return K.mean(K.square(y_pred - y_true), axis=-1)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/math_ops.py", line 848, in binary_op_wrapper
with ops.name_scope(None, op_name, [x, y]) as name:
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 5770, in __enter__
g = _get_graph_from_inputs(self._values)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 5428, in _get_graph_from_inputs
_assert_same_graph(original_graph_element, graph_element)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 5364, in _assert_same_graph
original_item))
ValueError: Tensor("out_target:0", shape=(?, ?), dtype=float32) must be from the same graph as Tensor("out/Reshape:0", shape=(?, ?), dtype=float32).