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2 Commits

Author SHA1 Message Date
HTensor
4aa5e0d91e compatibility changes 2023-04-29 23:24:10 +08:00
30bf6c9147 Update demo_imgs.py 2023-04-29 23:18:22 +08:00

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@ -15,6 +15,7 @@ from PIL import Image
from matplotlib import pyplot as plt
import os
import cv2
from torch.profiler import profile, record_function, ProfilerActivity
def load_image(imfile):
img = np.array(Image.open(imfile)).astype(np.uint8)
@ -44,8 +45,14 @@ def demo(args):
padder = InputPadder(image1.shape, divis_by=32)
image1, image2 = padder.pad(image1, image2)
with profile(
activities=[ProfilerActivity.CPU, ProfilerActivity.CUDA],
with_stack=True,
) as prof:
disp = model(image1, image2, iters=args.valid_iters, test_mode=True)
print(prof.key_averages(group_by_stack_n=5).table(sort_by="self_cuda_time_total", row_limit=10))
prof.export_chrome_trace("./trace.json")
# disp = model(image1, image2, iters=args.valid_iters, test_mode=True)
disp = disp.cpu().numpy()
disp = padder.unpad(disp)
file_stem = imfile1.split('/')[-2]
@ -81,6 +88,7 @@ if __name__ == '__main__':
parser.add_argument('--slow_fast_gru', action='store_true', help="iterate the low-res GRUs more frequently")
parser.add_argument('--n_gru_layers', type=int, default=3, help="number of hidden GRU levels")
parser.add_argument('--max_disp', type=int, default=192, help="max disp of geometry encoding volume")
parser.add_argument('--freeze_backbone_params', action="store_true", help="freeze backbone parameters")
args = parser.parse_args()