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### Search before asking
- [X] I have searched the Roboflow Notebooks [issues](https://github.com/roboflow-ai/notebooks/issues) and found no similar bug report.
### Description
I am doing a projec…
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Hi,AlexeyAB!When I train the mobilenetV2,,at first,the loss is very low. Now it is nan.
![mobilenet_loss](https://user-images.githubusercontent.com/13847172/42795640-f5edf776-89b7-11e8-88e3-245ac7634…
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I tried to convert a keras model that contains 2D group convolutions and in the resulting ONNX file the group parameter is always 1 even though it should be different.
I am using:
Python 3.6.9
Te…
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i try to use group convolution to speed up the operation,this is my cfg file,this can train ,but When I tested, there was no output。hope to get everyone's help
I added a group to each set of convol…
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Not so minimal example
```julia
using Boltz, Lux, Random # 64, relu; groups=4)
ps, st = Lux.setup(Random.default_rng(), gconv);
x = rand(Float32, 6, 6, 64, 2);
gconv(x, ps, st)
x_ra = Re…
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The test `distributed/_tensor/test_convolution_ops.py::DistConvolutionOpsTest::test_depthwise_convolution` has been regularly failing on distributed builds, but out CI tools don't realize that this wa…
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## Env
- GPU, e.g. 4070
- OS, e.g. Win10, etc.
- Cuda v11.8
- TensorRT 8.6.1
## About this repo
- which branch/tag/commit are you using?
- which model? yolov5, retinaface?
yolov8-seg
…
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This layer is necessary to support various applications such as SV.
- Depthwise convolution is a type of convolution in which each input channel is convolved with a different kernel (called a depth…
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Hello,
I love DirectML but I'm experiencing slow depthwise convolutions (with group count equal to channel count) with DirectML 1.8.2 compared to regular convolutions, when in fact the depthwise co…
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Hi,
It seems that 3D grouped & depthwise convolution is very slow on the **backward** pass. Backward pass on depthwise convolution takes about 10 times the time of a standard 3D convolution's forwa…