Hello, I wanted to retrieve the output features of CNN using DPU-PYNQ. I retrained ResNet50 for iris flower classification.I run Vitis AI CPU docker container from host using ./docker_run.sh xilinx/vitis-ai-cpu:1.3.411.Then I run the quantization to obtain a .pb model . After that, I truncated the …

Hello, Please find the CNN MNIST tutorial useful: [image] MNIST + AXI Stream on PYNQ 2.7 (Attention to Details) Learn Hello PYNQ community: I wish you all doing great =] Previous support posts are having trouble on AXI stream HLS about CNN design and DMA: S…

Sorry, but I don’t get how this tutorial can help me with my problem ?!

The IP you are using is DMA-based HLS or pure ARM CPU process? If it is DMA-base then loading and extracting is the way you are looking for. See how MNIST weights are being loaded and how results are extracted. If this is not what you looking for then I misread you goal here.

I am using the PYNQ DPU from xilinx.

I am trying with a guiding path, seems not working. May be @marioruiz directly give you an answer. Even DPU is based on Vitis AI synthesis logic to fit the CNN inferencing structure nothing really that huge different (correct me if this is wrongly considered). So any weight load or inference resu…

[image] Afeff: DPU-PYNQ Afeff, I think this video can guide you more how DPU works (the language is English the commentary is Chinese): [DPU on PYNQ Z2 (3-1): Vivado]

The video is chineese I couldn’t understand anything!! :sweat_smile: :sweat_smile:

Afeff, First there are English point-form that showing how DPU is invoke and build. Second DPU is basically a DSP-based logic elements that used for tiling the CNN. So APU is the control. Why nan values return could basically due to wrong data format, not enough data feeding in or any miss contr…

Getting nan values in the output of the convolution layers of CNN using DPU-PYNQ

Support

briansune August 30, 2022, 10:59pm 2

Hello,

Please find the CNN MNIST tutorial useful:

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Getting nan values in the output of the convolution layers of CNN using DPU-PYNQ

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