Regarding Tensorboard Support Graph

[bigmb]

Issues in Tensorboard Graph. It works with tensorboardX with Pytorch1.0.1 , but if pytorch version is 1.1.0. Error : " Pytorch Version is too old. "

Check line 166-170

#Working on it later.

[yaoyao007007]

problem: Traceback (most recent call last): File "D:/Files/Desktop/Unet-Segmentation-Pytorch-Nest-of-Unets-master/pytorch_run.py", line 244, in for x, y in train_loader: File "D:\Softwares\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 345, in next data = self._next_data() File "D:\Softwares\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 856, in _next_data return self._process_data(data) File "D:\Softwares\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 881, in _process_data data.reraise() File "D:\Softwares\Anaconda\lib\site-packages\torch_utils.py", line 395, in reraise raise self.exc_type(msg) ValueError: Caught ValueError in DataLoader worker process 0. Original Traceback (most recent call last): File "D:\Softwares\Anaconda\lib\site-packages\torch\utils\data_utils\worker.py", line 178, in _worker_loop data = fetcher.fetch(index) File "D:\Softwares\Anaconda\lib\site-packages\torch\utils\data_utils\fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\Softwares\Anaconda\lib\site-packages\torch\utils\data_utils\fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\Files\Desktop\Unet-Segmentation-Pytorch-Nest-of-Unets-master\Data_Loader.py", line 99, in getitem seed=np.random.randint(0,2**32) # make a seed with numpy generator File "mtrand.pyx", line 990, in mtrand.RandomState.randint ValueError: high is out of bounds for int32

[sravanjosh07]

hey @yaoyao007007 , I have the same problem. Did you solve it?

[bigmb]

Hey @sravanjosh07 , I dont think tf or pytorch solved it. So i just let it go.