Could not run 'aten::_pin_memory' with arguments from the 'CUDA' backend

question:How can I ensure that the versions of torch and torchvision are consistent with the CUDA version? thx!!!

D:\App\DragGAN\DragGAN>scripts\gui.bat Loading "D:\App\DragGAN\DragGAN\checkpoints\stylegan2_lions_512_pytorch.pkl"... C:\Users\CD\AppData\Local\Programs\Python\Python312\Lib\site-packages\torch\storage.py:414: 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. return torch.load(io.BytesIO(b)) Done. () {'z_dim': 512, 'c_dim': 0, 'w_dim': 512, 'img_resolution': 512, 'img_channels': 3, 'mapping_kwargs': {'num_layers': 8, 'embed_features': None, 'layer_features': None, 'activation': 'lrelu', 'lr_multiplier': 0.01, 'w_avg_beta': 0.995}, 'synthesis_kwargs': {'channel_base': 32768, 'channel_max': 512, 'num_fp16_res': 0, 'conv_clamp': None, 'architecture': 'skip', 'resample_filter': [1, 3, 3, 1], 'use_noise': True, 'activation': 'lrelu'}} Traceback (most recent call last): File "D:\App\DragGAN\DragGAN\visualizer_drag.py", line 403, in main() File "C:\Users\CD\AppData\Local\Programs\Python\Python312\Lib\site-packages\click\core.py", line 1157, in call return self.main(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\CD\AppData\Local\Programs\Python\Python312\Lib\site-packages\click\core.py", line 1078, in main rv = self.invoke(ctx) ^^^^^^^^^^^^^^^^ File "C:\Users\CD\AppData\Local\Programs\Python\Python312\Lib\site-packages\click\core.py", line 1434, in invoke return ctx.invoke(self.callback, **ctx.params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\CD\AppData\Local\Programs\Python\Python312\Lib\site-packages\click\core.py", line 783, in invoke return __callback(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\App\DragGAN\DragGAN\visualizer_drag.py", line 397, in main viz.draw_frame() File "D:\App\DragGAN\DragGAN\visualizer_drag.py", line 168, in draw_frame self._async_renderer.set_args(**self.args) File "D:\App\DragGAN\DragGAN\visualizer_drag.py", line 295, in set_args self._set_args_sync(**args) File "D:\App\DragGAN\DragGAN\visualizer_drag.py", line 313, in _set_args_sync self._cur_result = self._renderer_obj.render(**args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\App\DragGAN\DragGAN\viz\renderer.py", line 119, in render res.image = self.to_cpu(res.image).detach().numpy() ^^^^^^^^^^^^^^^^^^^^^^ File "D:\App\DragGAN\DragGAN\viz\renderer.py", line 191, in to_cpu return self.get_pinned_buf(buf).copy(buf).clone() ^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\App\DragGAN\DragGAN\viz\renderer.py", line 183, in _get_pinned_buf buf = torch.empty(ref.shape, dtype=ref.dtype).pin_memory() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ NotImplementedError: Could not run 'aten::_pin_memory' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::_pin_memory' is only available for these backends: [Meta, NestedTensorCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastXPU, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].

Meta: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\MetaFallbackKernel.cpp:23 [backend fallback] NestedTensorCPU: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\build\aten\src\ATen\RegisterNestedTensorCPU.cpp:783 [kernel] BackendSelect: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\build\aten\src\ATen\RegisterBackendSelect.cpp:815 [kernel] Python: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:153 [backend fallback] FuncTorchDynamicLayerBackMode: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\DynamicLayer.cpp:497 [backend fallback] Functionalize: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\FunctionalizeFallbackKernel.cpp:349 [backend fallback] Named: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\NamedRegistrations.cpp:7 [backend fallback] Conjugate: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\ConjugateFallback.cpp:17 [backend fallback] Negative: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\NegateFallback.cpp:18 [backend fallback] ZeroTensor: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\ZeroTensorFallback.cpp:86 [backend fallback] ADInplaceOrView: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\VariableFallbackKernel.cpp:86 [backend fallback] AutogradOther: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradCPU: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradCUDA: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradHIP: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradXLA: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradMPS: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradIPU: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradXPU: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradHPU: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradVE: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradLazy: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradMTIA: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradPrivateUse1: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradPrivateUse2: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradPrivateUse3: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradMeta: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] AutogradNestedTensor: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\VariableType_0.cpp:18032 [autograd kernel] Tracer: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\generated\TraceType_0.cpp:17004 [kernel] AutocastCPU: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\autocast_mode.cpp:209 [backend fallback] AutocastXPU: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\autocast_mode.cpp:351 [backend fallback] AutocastCUDA: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\autocast_mode.cpp:165 [backend fallback] FuncTorchBatched: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\LegacyBatchingRegistrations.cpp:731 [backend fallback] BatchedNestedTensor: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\LegacyBatchingRegistrations.cpp:758 [backend fallback] FuncTorchVmapMode: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\VmapModeRegistrations.cpp:27 [backend fallback] Batched: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\LegacyBatchingRegistrations.cpp:1075 [backend fallback] VmapMode: fallthrough registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\VmapModeRegistrations.cpp:33 [backend fallback] FuncTorchGradWrapper: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\TensorWrapper.cpp:207 [backend fallback] PythonTLSSnapshot: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:161 [backend fallback] FuncTorchDynamicLayerFrontMode: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\functorch\DynamicLayer.cpp:493 [backend fallback] PreDispatch: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:165 [backend fallback] PythonDispatcher: registered at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\core\PythonFallbackKernel.cpp:157 [backend fallback]