Training and Benchmarking a Deep Neural Network Using MNIST #167
Description
i am running Memtorch mnist dataset when i run up till here from memtorch.bh.nonideality.NonIdeality import apply_nonidealities
patched_model_ = apply_nonidealities(copy.deepcopy(patched_model),
non_idealities=[memtorch.bh.nonideality.NonIdeality.NonLinear],
simulate=True)
everything is running fine
but when i run this print(test(patched_model_, test_loader)) its taking too much time like more than 1 hr so is there any solution iam facing when every time i run this code getting same issue. iam using google colab with GPU and i also tried using vs code.
getting this
/content/MemTorch/memtorch/mn/Conv2d.py:247: UserWarning: Non-liner modeling does not currently account for source and line resistances.
warnings.warn(