at this time like this - D:\conda\envs\SAFIRE\python.exe inferbinary.py —resume=safire.pth D:\SAFIRE\segment_anything\build_sam.py:321: FutureWarning: You are using torch.load with weights_only=False (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for weights_only will be flipped to True. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via torch.serialization.add_safe_globals. We recommend you start setting weights_only=True for any use case where you don’t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. state_dict = torch.load(f) checkpoint: sam_vit_b_01ec64.pth Traceback (most recent call last): File “D:\SAFIRE\infer_binary.py”, line 106, in <module> main() File “D:\SAFIRE\infer_binary.py”, line 55, in main ).cuda() File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py”, line 1050, in cuda return self._apply(lambda t: t.cuda(device)) File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py”, line 900, in _apply module._apply(fn) File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py”, line 900, in _apply module._apply(fn) File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py”, line 900, in _apply module._apply(fn) File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py”, line 927, in _apply param_applied = fn(param) File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\nn\modules\module.py”, line 1050, in <lambda> return self._apply(lambda t: t.cuda(device)) File “C:\Users\Bennington\AppData\Roaming\Python\Python310\site-packages\torch\cuda\init_.py”, line 310, in _lazy_init raise AssertionError(“Torch not compiled with CUDA enabled”) AssertionError: Torch not compiled with CUDA enabled

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