I just installed fastai using the following on a fresh AWS Ubuntu 16.04 p2.xlarge instance:
conda create -y python=3.6 --name fastai-py3.6
conda activate fastai-py3.6
conda install -y conda
conda install -y pip setuptools
conda install -y -c pytorch pytorch-nightly cuda92
conda install -y -c fastai torchvision-nightly
conda install -y -c fastai fastai
conda uninstall -y fastai
pip install -e .[dev]
I can see pytorch can access the GPU but as reported above jupyter kernel dies on create_cnn (eg on lesson1 pets), and I get a Illegal instruction (core dumped) also at create_cnn when running the notebook as a script.
Exact crash occurs in learner.py when call m.eval on the returned dummy_batch tensor which for cats and dogs is of shape torch.Size([1, 3, 64, 64]) as per below:
def dummy_eval(m:nn.Module, size:tuple=(64,64)):
“Pass a dummy_batch in evaluation mode in m with size.”
return m.eval()(dummy_batch(m, size))
Not possible for me to use a shared AMI, to get around this ill try pytorch1.0.0… Anyone have tips when working with pytorch 1.0.0 and fastai v1?