fattyyyyyyyyyy
fattyyyyyyyyyy
输入的维度是(1, 398, 120),会报batch_sizes!=1 is not supported for lstm in this version的错误。  如果将输入的维度改成(1, 398, 120, 1),增加一个reshape层,则会报下面的错误。  也尝试了先转成onnx模型,再转rknn,会报Calc node LSTM : LSTM_29 output shape fail  想问一下是哪里出了问题,如果有需要,pt和onnx模型我放在了自己的仓库里
I tried to train the model, but the average SDR is only about 6. Here are my specific results: