mwbyeon commented on issue #9308: batch size in inference URL: https://github.com/apache/incubator-mxnet/issues/9308#issuecomment-355717931 @BenLag2906 This is code for understanding. (not tested) ```cpp // Allocate memory for a batch of images const int image_size = width * height * channels; std::vector<mx_float> batch_data = std::vector<mx_float>(batch_size * image_size); // Assign for ( int i=0 ; i<batch_size ; ++i ) { GetImageFile(batch_file[i], &batch_data[i * image_size], channels, cv::Size(width, height), nd_data); } // Set input data for prediction MXPredSetInput(pred_hnd, "data", batch_data.data(), batch_size * image_size); // Do Predict Forward MXPredForward(pred_hnd); // Allocate memory for output const int output_size = batch_size * num_classes; std::vector<float> output(output_size); // Get output MXPredGetOutput(pred_hnd, 0, &(output[0]), output_size); ```
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
