torch-mlir/frontends/pytorch/examples
Sean Silva 902c2e579b Add resnet inference jupyter notebook.
This takes the example from torchscript_resnet18_e2e.py and puts it into
a slightly cleaned up notebook form.

It's still a little rough around the edges. Areas for improvement:
- Installation / setup.
- API usability.

Also,
- Add `npcomp-backend-to-iree-frontend-pipeline` since we will be adding
  more stuff there.
- Slight cleanups.
2021-08-09 14:34:43 -07:00
..
__init__.py Add cos_e2e.py, test_utils and support for tensor inputs (#134) 2020-11-24 19:02:50 -08:00
cos_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
div_inplace_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
mm_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
mul_maximum_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
resnet_inference.ipynb Add resnet inference jupyter notebook. 2021-08-09 14:34:43 -07:00
tanh_out_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
test_utils.py MILESTONE: TorchScript unary tanh runs on RefBackend 2021-04-07 11:06:34 -07:00
torchscript_mm_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
torchscript_resnet18_e2e.py Add resnet inference jupyter notebook. 2021-08-09 14:34:43 -07:00
torchscript_tanh_e2e.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00
torchscript_tanh_e2e_iree.py Add IREE support in TorchScript e2e tests. 2021-06-30 16:19:25 -07:00