Thank you for the quick reply. The model essentially is supposed to be something like:
[32 observations x 21 features] --> [32 Observations x 3 Non-linear expansions * 21 features] == Input --> layers…
What I’m trying to do with the second step is to get PyTorch to treat this like an image of depth 3 or deeper.
I am able to successfully run and modify code from the CIFAR-10 tutorial 3.
When I run your modified code from above I get a massive set of errors with the title “An error occurred while starting the kernel”:
*** Error in `/home/ml‑comp󈚥/anaconda3/bin/python’: free(): invalid pointer: 0x00007f17ac63dae0 ***
======= Backtrace: =========
/lib/x86_64‑linux‑gnu/libc.so.6(+0x7908b)[0x7f17e7afd08b]
/lib/x86_64‑linux‑gnu/libc.so.6(+0x826fa)[0x7f17e7b066fa]
/lib/x86_64‑linux‑gnu/libc.so.6(cfree+0x4c)[0x7f17e7b0a12c]
…
Here are some system details:
Processor: Intel® Core™ i7-6700K CPU @ 4.00GHz × 8
Graphics: GeForce GTX 970/PCIe/SSE2
OS: Ubuntu 17.04 64-bit
nvcc --version # Cuda compilation tools, release 8.0, V8.0.44
Python: 3.6.0
GCC: 4.4.7
Spyder IDE: 3.1.4