Issue description
Hello there.I’m using Jupyter Notebook, Linux Mint x64 and I have a huge problem with Pytorch. When I running this code - kernel dies.Perfect running on Win 8.1 x64,no problem. I tryed different types of installing - pip,conda, source code from github.Nothing. Please, explain me why this happen all times and how to fix it
Code example
import torch
from torch import nn
import torch.nn.functional as F
from notmnist import load_notmnist
X_train, y_train, X_test, y_test = load_notmnist(letters='AB')
X_train, X_test = X_train.reshape([-1, 784]), X_test.reshape([-1, 784])
model = nn.Sequential()
model.add_module('l1', nn.Linear(784, 1))
model.add_module('l2', nn.Sigmoid())

x = torch.tensor(X_train[:3], dtype=torch.float32)
y = torch.tensor(y_train[:3], dtype=torch.float32)
y_predicted = model(x)[:, 0]

System Info

PyTorch version: 0.5.0a0+b640264
Is debug build: No
CUDA used to build PyTorch: None

OS: Linux Mint 19 Tara
GCC version: (Ubuntu 7.3.0-16ubuntu3) 7.3.0
CMake version: version 3.10.2

Python version: 3.6
Is CUDA available: No
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA

Versions of relevant libraries:
[pip] Could not collect
[conda] pytorch-cpu 0.4.1 py36_cpu_1 pytorch
[conda] torch 0.5.0a0+b640264
[conda] torchvision-cpu 0.2.1 py36_1 pytorch

If you need any logs - please tell me where I can found it