Hi,thank for your great work.My gpu is TITAN GTX supporting only CUDA9+ and i got error cause your conda env is compiled in cuda80. followed is error:
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/home/imdl/anaconda3/envs/centernet/bin/python /home/imdl/workspace/CenterNet-master_train/train.py CenterNet-104
loading all datasets...
using 4 threads
loading from cache file: cache/coco_trainval2014.pkl
loading annotations into memory...
Done (t=11.03s)
creating index...
index created!
loading from cache file: cache/coco_trainval2014.pkl
loading annotations into memory...
Done (t=10.94s)
creating index...
index created!
loading from cache file: cache/coco_trainval2014.pkl
loading annotations into memory...
Done (t=10.05s)
creating index...
index created!
loading from cache file: cache/coco_trainval2014.pkl
loading annotations into memory...
Done (t=15.83s)
creating index...
index created!
loading from cache file: cache/coco_minival2014.pkl
loading annotations into memory...
Done (t=0.34s)
creating index...
index created!
system config...
{'batch_size': 48,
'cache_dir': 'cache',
'chunk_sizes': [6, 6, 6, 6, 6, 6, 6, 6],
'config_dir': 'config',
'data_dir': '../data',
'data_rng': <mtrand.RandomState object at 0x7f54a7e6e8b8>,
'dataset': 'MSCOCO',
'decay_rate': 10,
'display': 5,
'learning_rate': 0.00025,
'max_iter': 480000,
'nnet_rng': <mtrand.RandomState object at 0x7f54a7e6e900>,
'opt_algo': 'adam',
'prefetch_size': 6,
'pretrain': None,
'result_dir': 'results',
'sampling_function': 'kp_detection',
'snapshot': 5000,
'snapshot_name': 'CenterNet-104',
'stepsize': 450000,
'test_split': 'testdev',
'train_split': 'trainval',
'val_iter': 500,
'val_split': 'minival',
'weight_decay': False,
'weight_decay_rate': 1e-05,
'weight_decay_type': 'l2'}
db config...
{'ae_threshold': 0.5,
'border': 128,
'categories': 80,
'data_aug': True,
'gaussian_bump': True,
'gaussian_iou': 0.7,
'gaussian_radius': -1,
'input_size': [511, 511],
'kp_categories': 1,
'lighting': True,
'max_per_image': 100,
'merge_bbox': False,
'nms_algorithm': 'exp_soft_nms',
'nms_kernel': 3,
'nms_threshold': 0.5,
'output_sizes': [[128, 128]],
'rand_color': True,
'rand_crop': True,
'rand_pushes': False,
'rand_samples': False,
'rand_scale_max': 1.4,
'rand_scale_min': 0.6,
'rand_scale_step': 0.1,
'rand_scales': array([0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3]),
'special_crop': False,
'test_scales': [1],
'top_k': 70,
'weight_exp': 8}
len of db: 118287
start prefetching data...
shuffling indices...
start prefetching data...
shuffling indices...
start prefetching data...
shuffling indices...
start prefetching data...
shuffling indices...
building model...
module_file: models.CenterNet-104
start prefetching data...
shuffling indices...
total parameters: 210062960
setting learning rate to: 0.00025
training start...
0%| | 0/480000 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/imdl/workspace/CenterNet-master_train/train.py", line 203, in
train(training_dbs, validation_db, args.start_iter)
File "/home/imdl/workspace/CenterNet-master_train/train.py", line 138, in train
training_loss, focal_loss, pull_loss, push_loss, regr_loss = nnet.train(**training)
File "/home/imdl/workspace/CenterNet-master_train/nnet/py_factory.py", line 82, in train
loss_kp = self.network(xs, ys)
File "/home/imdl/anaconda3/envs/centernet/lib/python3.6/site-packages/torch/nn/modules/module.py", line 477, in call
result = self.forward(*input, **kwargs)
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/data_parallel.py", line 66, in forward
inputs, kwargs = self.scatter(inputs, kwargs, self.device_ids, self.chunk_sizes)
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/data_parallel.py", line 77, in scatter
return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim, chunk_sizes=self.chunk_sizes)
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/scatter_gather.py", line 30, in scatter_kwargs
inputs = scatter(inputs, target_gpus, dim, chunk_sizes) if inputs else []
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/scatter_gather.py", line 25, in scatter
return scatter_map(inputs)
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/scatter_gather.py", line 18, in scatter_map
return list(zip(map(scatter_map, obj)))
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/scatter_gather.py", line 20, in scatter_map
return list(map(list, zip(map(scatter_map, obj))))
File "/home/imdl/workspace/CenterNet-master_train/models/py_utils/scatter_gather.py", line 15, in scatter_map
return Scatter.apply(target_gpus, chunk_sizes, dim, obj)
File "/home/imdl/anaconda3/envs/centernet/lib/python3.6/site-packages/torch/nn/parallel/_functions.py", line 87, in forward
outputs = comm.scatter(input, ctx.target_gpus, ctx.chunk_sizes, ctx.dim, streams)
File "/home/imdl/anaconda3/envs/centernet/lib/python3.6/site-packages/torch/cuda/comm.py", line 142, in scatter
return tuple(torch._C._scatter(tensor, devices, chunk_sizes, dim, streams))
RuntimeError: Device index must be -1 or non-negative, got -2111146688 (Device at /opt/conda/conda-bld/pytorch_1535491974311/work/torch/lib/tmp_install/include/ATen/Device.h:47)
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frame #1: + 0x38a5cb (0x7f548536a5cb in /home/imdl/anaconda3/envs/centernet/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so)
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terminate called without an active exception~~
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any help?