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The [build documentation](https://oneapi-src.github.io/oneDNN/dev_guide_build_options.html#onednn-enable-primitive-gpu-isa) claims that generic OpenCL kernels are always available. I wanted to verify …
nwnk updated
3 months ago
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```
python -m keras2ncnn -i path/to/my/model.h5 -o ./
Reading and parsing keras h5df file...
Start graph optimizing pass...
Removing unused nodes...
Removing squeeze reshape after pooling...
…
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When converting a model ResNet based model created with Pytorch I get the following warning message:
_onnx_tf/backends/backend_v1.py:123: UserWarning: Using the pooling op in compatibility mode.Thi…
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I was experimenting with the graphormer model, specifically for graph classification using the virtual node for global pooling (`graph_pooling: graph_token`).
## Problem
I noticed that the mode…
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**env**
win10
python3.6
bert-serving-client/server 1.9.7
tensorflow 1.14.0
**and i got this:**
E:\Software\Python3.6.5\Scripts>bert-serving-start -model_dir ./uncased_L-12_H-768_A-12/ -num_worke…
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Thanks for this amazing crate, it's been instrumental to candle. We've recently added a feature to use the cudnn conv2d which sped things up a lot compared to our handcrafted kernel, and would like to…
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Hello, I have been looking to find a way to reduce overfitting for my model. Let me tell you that my training losses are converging but my validation losses are overfitting a big time and I have a goo…
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Hi I followed the guide and converted keras model to android but the prediction is always 100% for one class.
Code used to train model
```
from imageai.Prediction.Custom import ModelTraining
imp…
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```cpp
int main(int argc, char** argv)
{
network net;
layers::input in(shape3d(32, 32, 1));
convolutional_layer conv(32, 32, 7, 7, 1, 400 * 1, padding::valid, true, 1, 1);
average_pooling_layer …
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Hello, I'm trying to extract the feature vectors of each ROI pooling feature maps, by running the image through model.run_graph literately. However, the consumed memory will keep increasing every iter…