| # RUN: %PYTHON %s | FileCheck %s |
| |
| import torch |
| |
| from mpact.mpactbackend import mpact_jit, mpact_jit_compile, mpact_jit_run |
| from mpact.models.lif import Block |
| |
| net = Block() |
| |
| # Get a random (but reproducible) input, so that a |
| # general sparse tensor appears after LIF. |
| torch.manual_seed(0) |
| x = torch.rand(2, 3, 8, 8) |
| |
| # |
| # CHECK: pytorch |
| # CHECK: tensor([ 0., 11., 9., 11., 13., 11., 10., 12.]) |
| # CHECK: mpact |
| # CHECK: [ 0. 11. 9. 11. 13. 11. 10. 12.] |
| # |
| |
| # Run it with PyTorch. |
| print("pytorch") |
| res = net(x) |
| print(res) |
| |
| # Run it with MPACT. |
| print("mpact") |
| res = mpact_jit(net, x) |
| print(res) |
