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Hi everyone,
I am trying to load a ONNX model with the CNTK java api and I am getting the following error.
```
Exception in thread "main" java.lang.RuntimeException: Failed to load the model.…
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Following the instructions in "./bindings/python/cntk/contrib/crosstalkcaffe/examples", the "run_convert.py" failed to load caffe model. Tried with VGG16 and NIN, the error messages are similar:
$ …
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I pulled Docker files by
./scripts/run.sh cpu
and get test result by
docker cp :/cntk/Examples/Image/Detection/FasterRCNN/Output/CustomImages /host/path/target
and also prepared new data by Vott …
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Hello I have problem building CNTK environment
I've checked
download pytorch
download torchvision
environment path
my environment is window10
`(py36) C:\Git\ELL\mytest\testcntk>python tes…
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Hello,
My trained model has an input of 24x32 grayscale image and 34 output classes.
I am using this model in my C code.
To do so i am using C wrapper functions (CNTK_LoadModel / CNTK_EvaluateSe…
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While using variable length input with CNN, performance significantly decreases compared to fixed length input. Why?
To reproduce the result I've created simple network. I use one CPU kernel (CPU u…
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I was trying to train the model using FasterRCNN script on AlexNet as base model with a larger dataset of images but after completing 16 Epochs of training it was giving the **CUDA failure 2: out of m…
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ONNX is a general model format which supports most of the deep learning frameworks including Pytorch, Mxnet, CNTK, Keras and so on. Wish `Sparklyr` can support inference deep learning model more user-…
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In the tools/importer, there is CNTK and Darknet only. Keras is one of most popular toolkit, any plans or suggestions on how to import models trained using Keras?
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Using cntk 2.7, pyhton 3.5
I tried to export a model that I trained with Brainscript (ResNet50_ImageNet1K.cntk) to ONNX with this code:
import cntk as C
model_path = "ResNet_50_train_CNTK.mod…