auphelia

Hi @haoxi1999 , sorry for the late reply. Can you try using the new FINN release for your project and check if it is working now?

Hi @jacopoabramo , I see that you are using the `InferBinaryMatrixVectorActivation()` function. Is your network binary? I had a brief look into the model you've sent in the beginning of...

`WARNING: [HLS 207-5567] Invalid Directive: for current device, RAM_S2P + URAM is invalid combination for BIND_STORAGE's option 'type + impl' (/home/jacopo/git/finn/deps/finn-hlslib/slidingwindow.h:116:49) ` From this warning it looks like URAM is...

You can find documentation about the folding factors here: https://github.com/Xilinx/finn/blob/github-pages/docs/finn-sheduling-and-folding.pptx Some of the FINN transformations (e.g. HLSSynthIP) can be parallelized using the env var `NUM_DEFAULT_WORKERS` (https://finn.readthedocs.io/en/latest/getting_started.html#environment-variables), the default is 4

Hi @fpjentzsch, could you change the target branch for the merge to target `dev`, please?

Hi @joshua99911 , Thanks for providing all this information, could you please convert the request by using the provided template: https://github.com/Xilinx/finn/blob/main/.github/ISSUE_TEMPLATE/bug_report.md

Hi @iksnagreb, Yes, we restructured the bnn pynq tests and they are not callable with `pytest -k bnn_pynq` anymore. You could run one of the markers, e.g `pytest -m sanity_bnn`....

Thanks @iksnagreb !

I am closing this issue because it does not apply to the current release. Please use version v0.9.

Hi @YZW-explorer , I will close this issue because since the last post, we update the onnx and onnxruntime versions multiple times. In the current FINN we use: ``` onnx==1.13.0...