ONNX loading error after conversion from Tensorflow 2 - Inconsistent shape for ConcatLayer in function 'getMemoryShapes'

C++
11

Ah now I understand better, I could reproduce all you gave me.
Thank you so much, I learned a lot from you.

By the way, no need to install netron, there’s an online version here: https://netron.app

Now I have to ask for support of the unknown function!

Here is the code in C++

    // load ONNX model
    cv::String model = "../models/arbitrary-image-stylization-fixed-1024x768.onnx";
    cv::dnn::Net net;
    net.setPreferableBackend(cv::dnn::DNN_BACKEND_CUDA);
    net.setPreferableTarget(cv::dnn::DNN_TARGET_CUDA);
    net = cv::dnn::readNetFromONNX(model);
    // prepare images
    cv::Mat content = cv::imread("../content.png", cv::IMREAD_COLOR);
    cv::Mat style = cv::imread("../style.png", cv::IMREAD_COLOR);
    // parameters for blobs
    cv::dnn::Image2BlobParams paramSAMEncoder;
    paramSAMEncoder.datalayout = cv::dnn::DNN_LAYOUT_NHWC;
    paramSAMEncoder.ddepth = CV_32F;
    paramSAMEncoder.mean = cv::Scalar(0,0,0);
    paramSAMEncoder.scalefactor = cv::Scalar(1, 1, 1);
    paramSAMEncoder.size = cv::Size(1024, 1024);
    paramSAMEncoder.swapRB = true;
    paramSAMEncoder.paddingmode = cv::dnn::DNN_PMODE_NULL;
    // get blob for content - fixed param 1024x1024
    cv::Mat blobContent = cv::dnn::blobFromImageWithParams(content, paramSAMEncoder);
    // get blob for style - fixed param 768x768
    paramSAMEncoder.size = cv::Size(768, 768);
    cv::Mat blobStyle = cv::dnn::blobFromImageWithParams(style, paramSAMEncoder);
    // feed blobs to inputs
    net.setInput(blobContent, "placeholder"); // have to use netron to get this name
    net.setInput(blobStyle, "placeholder_1");
    // inference
    cv::Mat output = net.forward();