This is the error I’m getting in android while loading the model.
java.lang.RuntimeException: Unable to start activity ComponentInfo{com.android.example.cataractdetectionapp/com.android.example.cataractdetectionapp.InferenceActivity}: 
com.facebook.jni.CppException: Could not run 'aten::empty_strided' 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::empty_strided' is only available for these backends: [CPU, Vulkan, BackendSelect, Python, Named, Conjugate, Negative, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradLazy, AutogradXPU, AutogradMLC, UNKNOWN_TENSOR_TYPE_ID, Autocast, Batched, VmapMode].
 CPU: registered at aten/src/ATen/RegisterCPU.cpp:18433 [kernel]
 Vulkan: registered at ../aten/src/ATen/native/vulkan/ops/Factory.cpp:47 [kernel]
 BackendSelect: registered at aten/src/ATen/RegisterBackendSelect.cpp:665 [kernel]
 Python: registered at ../aten/src/ATen/core/PythonFallbackKernel.cpp:47 [backend fallback]
 Named: registered at ../aten/src/ATen/core/NamedRegistrations.cpp:7 [backend fallback]
 Conjugate: fallthrough registered at ../aten/src/ATen/ConjugateFallback.cpp:22 [kernel]
 Negative: fallthrough registered at ../aten/src/ATen/native/NegateFallback.cpp:22 [kernel]
 ADInplaceOrView: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:64 [backend fallback]
 AutogradOther: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:35 [backend fallback]
 AutogradCPU: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:39 [backend fallback]
 AutogradCUDA: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:47 [backend fallback]
 AutogradXLA: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:51 [backend fallback]
 AutogradLazy: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:55 [backend fallback]
 AutogradXPU: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:43 [backend fallback]
 AutogradMLC: fallthrough registered at ../aten/src/ATen/core/VariableFallbackKernel.cpp:59 [backend fallback]
 UNKNOWN_TENSOR_TYPE_ID: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:466 [backend fallback]
 Autocast: fallthrough registered at ../aten/src/ATen/autocast_mode.cpp:305 [backend fallback]
 Batched: registered at ../aten/src/ATen/BatchingRegistrations.cpp:1016 [backend fallback]
 VmapMode: fallthrough registered at ../aten/src/ATen/VmapModeRegistrations.cpp:33 [backend fallback]
I used the below code for loading the module:
Module module = LiteModuleLoader.load(assetFilePath(getApplicationContext(), "Model.ptl"));
The dependencies I’m using for Pytorch are as follows:
    implementation 'org.pytorch:pytorch_android_lite:1.10.0'
    implementation 'org.pytorch:pytorch_android_torchvision:1.10.0'