eneftci
commented
4 years ago Hi Weihua,
Can you attach your yaml config file as well?
On Sat, Nov 2, 2019, at 5:46 AM, Weihua He wrote:
Hi~ I am a student of Tsinghua University and is trying to test dvs_gesture dataset. Hoping that I could get some help from the repo. I tested the code(Sep.2 version). Everything goes well until the epoch 1 finished. It shows:
Saving results to runs_args_lenet_decolle_cuda/Nov01_21-23-02_seallab-Precision-Tower-7910_bioplaus /home/hewh16/master/decolle/utils.py:70: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. params = yaml.load(f) File data/dvs_gestures_events.hdf5 exists: not re-converting DvsGesture
------Starting training with 3 DECOLLE layers------- Epoch 0: 100%|███████████████████████████████████████████████████████████| 500/500 [00:06<00:00, 75.84it/s] Loss 2.43e+04 ---------------Epoch 1------------- ---------Saving checkpoint--------- Traceback (most recent call last): File "train_lenet_decolle.py", line 94, in test_loss, test_acc = test(gen_test, loss, net, params['burnin_steps'], print_error = True) File "/home/hewh16/master/decolle/utils.py", line 108, in test net.init(data_batch, burnin) File "/home/hewh16/master/decolle/base_model.py", line 266, in init self.forward(torch.Tensor(data_batch[:, i, :, :]).to(device)) File "/home/hewh16/master/decolle/lenet_decolle_model.py", line 129, in forward u_p = pool(u) File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call result = self.forward(*input, *kwargs) File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/nn/modules/pooling.py", line 141, in forward self.return_indices) File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/_jit_internal.py", line 138, in fn return if_false(args, **kwargs) File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/nn/functional.py", line 488, in _max_pool2d input, kernel_size, stride, padding, dilation, ceil_mode) RuntimeError: non-empty 3D or 4D input tensor expected but got ndim: 4
Sound unbelievable confusing :( I will appreciate it if you could help me out. By the way, if that seems hard, could you please just show me a simple demo of mlp test on dvs_gesture? Thanks~
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hewh16
Hi~ I am a student of Tsinghua University and is trying to test dvs_gesture dataset. Hoping that I could get some help from the repo. I tested the code(Sep.2 version). Everything goes well until the epoch 1 finished. It shows:
Saving results to runs_args_lenet_decolle_cuda/Nov01_21-23-02_seallab-Precision-Tower-7910_bioplaus /home/hewh16/master/decolle/utils.py:70: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. params = yaml.load(f) File data/dvs_gestures_events.hdf5 exists: not re-converting DvsGesture
------Starting training with 3 DECOLLE layers------- Epoch 0: 100%|███████████████████████████████████████████████████████████| 500/500 [00:06<00:00, 75.84it/s] Loss 2.43e+04 ---------------Epoch 1------------- ---------Saving checkpoint--------- Traceback (most recent call last): File "train_lenet_decolle.py", line 94, in
test_loss, test_acc = test(gen_test, loss, net, params['burnin_steps'], print_error = True)
File "/home/hewh16/master/decolle/utils.py", line 108, in test
net.init(data_batch, burnin)
File "/home/hewh16/master/decolle/base_model.py", line 266, in init
self.forward(torch.Tensor(data_batch[:, i, :, :]).to(device))
File "/home/hewh16/master/decolle/lenet_decolle_model.py", line 129, in forward
u_p = pool(u)
File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in call
result = self.forward(*input, *kwargs)
File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/nn/modules/pooling.py", line 141, in forward
self.return_indices)
File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/_jit_internal.py", line 138, in fn
return if_false(args, **kwargs)
File "/home/hewh16/miniconda3/envs/hewh16/lib/python3.7/site-packages/torch/nn/functional.py", line 488, in _max_pool2d
input, kernel_size, stride, padding, dilation, ceil_mode)
RuntimeError: non-empty 3D or 4D input tensor expected but got ndim: 4
Sound unbelievable confusing :( I will appreciate it if you could help me out. By the way, if that seems hard, could you please just show me a simple demo of mlp test on dvs_gesture? Thanks~