-
Hello! I'm trying to use onnx model from sklearn with [graphpipe](https://oracle.github.io/graphpipe/#/guide/servers/graphpipe-onnx)
Save an onnx model which contains `Pipeline` with `StandartScale…
-
I forked this repo and while trying to build the example project, **mvn package** command failed. It seems like the maven repository for GraphPipe doesn't exist.
Let me know if you need help with t…
-
Hi,
I have a onnx model that I am trying to serve with sleepsonthefloor/graphpipe-onnx:cpu docker image.
I am running it with this command:
`docker run -it -v "$PWD/models:/models/" -p 9000:9000 …
-
Under normal circumstances, a mtcnn face detection model takes about 0.x seconds, I deploy with graphpipe, then send a picture, it takes 30s to receive a reply, why is it so slow?
-
Hello! I want to use `graphpipe` with sklearn model, converted by [this](https://github.com/onnx/onnxmltools/blob/master/onnxmltools/convert/sklearn/convert.py)
I can save `model.onnx`, but what can …
-
x = tf.placeholder(tf.int32, shape=[1], name='x')
y = tf.placeholder(tf.int32, shape=[1], name='y')
b = tf.Variable(1, name='b')
xy = tf.multiply(x, y, name='multiply')
output = tf.add(xy, b, name…
-
Hi, when I deploy onnx model, the error occured:
Don't konw how to map unexcepted argument dilations( form operator ConvTranspose)
could you please tell me how to fix the problem ?
Thanks …
-
Can deployments use the yolo SSD faster- RCNN model ?
@termie @sleepsonthefloor @Djelibeybi @vishvananda @tjfontaine
-
I am trying to load an onnx model with these commands:
```
from onnx_tf.backend import prepare
dnn_model_tf = prepare(dnn_model_onnx, device='CPU')
```
When doing so I get this error:
```
Attri…
-
Hello,
convert.py script failed while I was trying to convert the imagenet trained inceptionV3 model ( downloaded from https://github.com/fchollet/deep-learning-models/releases/download/v0.5/inceptio…