Update provider documentation and enhance build configurations

- Clarified the bundling of PyTorch CPU providers for Windows and macOS Intel builds in documentation.
- Improved handling of platform-specific dependencies in the build process, including asyncio support for PyInstaller.
- Updated backend logic to gracefully handle missing dependencies and provide clearer error messages.
- Enhanced progress management to ensure compatibility with PyInstaller's async handling.
- Removed unnecessary exclusions from the build scripts for PyTorch providers to streamline the build process.

providers/pytorch-cpu/build.py

@@ -55,23 +55,7 @@ def build_provider():
         '--hidden-import', 'numpy',
         '--hidden-import', 'librosa',
     ])
-    
-    # Exclude large unused modules to reduce binary size
-    args.extend([
-        '--exclude-module', 'torch.utils.tensorboard',
-        '--exclude-module', 'tensorboard',
-        '--exclude-module', 'triton',
-        '--exclude-module', 'torch._dynamo',
-        '--exclude-module', 'torch._inductor',
-        '--exclude-module', 'torch.utils.benchmark',
-        '--exclude-module', 'IPython',
-        '--exclude-module', 'matplotlib',
-        '--exclude-module', 'PIL',
-        '--exclude-module', 'cv2',
-        '--exclude-module', 'torchvision',
-        '--exclude-module', 'torchaudio',
-    ])
-    
+
     args.extend([
         '--noconfirm',
         '--clean',