LeonNerd
LeonNerd
为了实验,我想在您的库上做些修改或者添加新的backbone,所以想请教一下,修改backbone后获得对应的预训练权重的方法,可以通过v5的权重冻结获得么?还是只能通过重新训练
File "/home/hdsx/anaconda3/envs/caffe/lib/python3.6/site-packages/onnx-1.7.0-py3.6-linux-x86_64.egg/onnx/shape_inference.py", line 35, in infer_shapes inferred_model_str = C.infer_shapes(model_str, check_type) RuntimeError: Inferred shape and existing shape differ in dimension 1: (4) vs (1) The file is from onnx model zoo's...
When I cycled through multiple images, and for each image, I cycled through multiple layers of the model, I saw an abnormal increase in memory. I just increased the outer...
i get a trouble "Load FAILURE" i have some models andI've put it in the folder Why does it appear? Do I need to change the model path? 
When I changed batchsize=4 while converting the model, it reported an error. The error message is that the broadcast sizes do not match
Is the performance bad?Are there any other optimization ideas for ggml_conv_2d?
hi,I found your question about sd3 in the ip-adapter and closed the question. I have the same problem, do you have any progress? thank you