Hi,when i try to train the model from a snapshot model, it comes with the error 'train.py: error: unrecognized arguments: --snapshot' My training command line is 'python ./keras_retinanet/bin/train.py csv ./Process_zxy/annotation0to9.csv ./Process_zxy/class_mapping.csv --snapshot ...
usage: train.py [-h] [--work-dir WORK_DIR] [--amp] [--auto-scale-lr] [--resume [RESUME]] [--cfg-options CFG_OPTIONS [CFG_OPTIONS ...]] [--launcher {none,pytorch,slurm,mpi}] [--local_rank LOCAL_RANK] config train.py: error: unrecognized arguments: --local-rank=0 ERROR:to...
python3 train.py --data_dir '../tmp' 遇到报错error: unrecognized arguments: --data_dir 首先确保a. 我确实有这个参数 b.我在写命令的时候用的不是等号赋值(即 --data_dir='../tmp'❌)然后发现还是报错。 我简单写的测试样例是能正确跑通的,但同样的代...
python tools/train.py -n yolox-tiny -d 1 -b 16 --fp16 -o --tsize 360 python tools/train.py -n yolox-tiny -d 1 -b 16 --fp16 --tsize 360 -o 上面两种都是一样的报错,到底有没有这个参数设置的?
Is there an existing issue for this? I have searched the existing issues Current Behavior 当我运行微调bash train.sh时报错: main.py: error: the following arguments are required: --model_name_or_path 该参数我已经指定。 Expected Behavior 不应提示,并正确运
python -m torch.distributed.launch --nproc_per_node=4 --nnodes=1 pytorch_DDP_ZeRO.py --use_zero Pytorch + DeepSpeed(环境还没搞起来,哈哈哈) [BUG] error: unrecognized arguments: --deepspeed ./ds_config.json #3961 fused_adam.so: cannot open shared object file: No such file or director...
Hi, I just installed OpenPCDet with docker which is incredibly convenient!!! But when I run with scripts/dist_train.sh, there is an error occurred launch.py: error: unrecognized arguments: --rdzv_endpoint=localhost:xxxxx I think it's the problem of pytorch version (1.6.0)... DeclK cl...
For example, batch_size=4 in my train_gpu.py. If I want to use 2 GPUs for training, it means that the batch_size on each GPU is 4. Do not let batch_size=1 on each GPU, otherwise BN layer maybe report an error. If you recive an error like "error: unrecognized arguments: --...
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For example, batch_size=4 in my train_gpu.py. If I want to use 2 GPUs for training, it means that the batch_size on each GPU is 4. Do not let batch_size=1 on each GPU, otherwise BN layer maybe report an error. If you recive an error like "error: unrecognized arguments: --...