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Hi Guys,
I have a Qkeras Model, which I am trying to convert to hls4ml model. The accuracy has reduced drastically. I have tried to profile the hls4ml model. The problem is that, there are some la…
rtspk updated
2 years ago
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Hi,
I tried to run `xgboost_to_hls.py` example, but Vivado HLS fails with segmentation fault
It's probably something with the array ranges?
```
INFO: [XFORM 203-11] Balancing expressions in fu…
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Hello,I noticed that hls4ml already supports the Alveo-PYNQ. However, the provided tests are using Vivado 2020.1, and I am using Vitis 2021.1. How can I proceed with using it?I encountered the followi…
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Quick Summary
Attempting to convert a trained Keras Model with Quartus as Backend. but get this error
![error](https://github.com/fastmachinelearning/hls4ml/assets/47188943/e99da77e-ee5c-48af-b9c9-…
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### Discussed in https://github.com/fastmachinelearning/hls4ml/discussions/875
Originally posted by **MODISENEISO** September 28, 2023
Hi. I am converting a model that has CONV2D layers with Q…
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Currently models run slower on Intel (3 layer at 50 clocks vs 10 on Xilinx). Should eventually understand why.
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Currently the hls4ml conda-forge feedstock (https://github.com/conda-forge/hls4ml-feedstock) recipe is broken because some of our dependencies (and their dependencies are missing from conda-forge. The…
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Hi, I use your hls4ml lib to implement VGG16 on Cifar-10 dataset. The project can passed synthesis, but syn reports too many II vilation. Another problem is that cannot load weight correctly. Could yo…
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The QKeras BatchNormalization [1] layer is not totally compatible with hls4ml, since it quantizes separately the `beta`, `gamma`, `mean`, `variance`, while in hls4ml we combine these terms into a `sca…
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Hi EJ,
I am trying to build CNN example. I have used this ready-to-use model. `../../hls4ml/keras-to-hls/example-keras-model-files/KERAS_conv1d.json`
When i run this command: `vivado_hls -f buil…