vkeep

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> > 作者您好 请问您用什么型号什么数量的GPU训练的?我用的两张3090的训练您的模型 每一个Epoch大概要1个小时 batchsize的参数设置为多少呢?谢谢 > > 我用的也是两张 3090,batchsize 设的还是 4 I use default config, bs =4, segment size = 32000, 2*4090 24G gpu, also OOM. will the result...

https://github.com/Xiaobin-Rong/gtcrn/blob/main/stream/onnx_models/gtcrn_simple.onnx 使用上述模型报错

模型中有些没有训练的fc层是稀疏化矩阵,使用--detectSparseSpeedUp=0 转换,也存在差异

我运行debug 工具: Error is between Add_1715 and ConvTranspose_1716 请问如何debug,是不是ConvTranspose 这个操作存在bug?

I also meet this problem during validation . my gpu is 24G, and when training, I reduce the bs = 2 , segment_size =24000, also similar OOM problem

this problem occur when validation , you can modify validset = Dataset(validation_indexes.... in train.py split = True, then the validation data will cut by segment_size, and the OOM problem solved