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### System Information
OpenCV version 4.8.0 vs. 4.5.2 compiled from source
Operating System: Both Windows and Linux
Compiler GCC 11
### Detailed description
During regression testing between ve…
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### System Info
- `transformers` version: 4.44.0
- Platform: macOS-14.6.1-arm64-arm-64bit
- Python version: 3.12.3
- Huggingface_hub version: 0.24.6
- Safetensors version: 0.4.4
- Accelerate v…
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C2 has such operations like `ConvRelu`, `Int8ConvRelu`, `Int8SumRelu`, etc. When Glow loads them we should apply `ReLU` on the result of the actual operation. If such as ReLU can be eliminated, it wil…
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I just found this code use conv-relu-bn. However it should be conv-bn-relu. Could you please fix it.
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Hi,
How can I retrain the yolov5 pre-trained models and run them using VectorBlox?
I tried the following:
- Tried using the ONNX model file provided in the VectorBlox tutorials with the [ultral…
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When constructing my model in `tf.keras`, I have a repeated sequence of layers that goes:
```
tf.keras.layers.Conv2D(...)
tf.keras.layers.BatchNormalization(...)
tf.keras.layers.ReLU(...)
```
…
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@deZakelijke
In the paper they say c is equal to the expected value of the channels, but that would change the size of c compared to the size of x. In the ReLU the shape of x gets divided by c, but …
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Hi.
I was trying the C Dot Product function using my own dataset and I noticed that there is an issue with the placement of the RelU/Activation function.
![image](https://user-images.githubuse…
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I guess you can interpret a ReLU neural network as a protean graph of dot products since ReLU is a literal switch.
[https://github.com/S6Regen/Fixed-Filter-Bank-Neural-Networks](url)
ghost updated
4 years ago
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Hello,
I implemented a brutally simple infinite-width model, calling the kernel_fn with a batch of a single vector.
When I run this on CPU, I don't run into any exorbitant memory issues.
How…