Use MPS on Apple Mac M1 to GPU accelerate Encode, Query Performance

- Note: Support for MPS in Pytorch is currently in v1.13.0 nightly builds
  - Users will have to wait for PyTorch MPS support to land in stable builds
- Until then the code can be tweaked and tested to make use of the GPU
  acceleration on newer Macs

src/utils/state.py

@@ -1,3 +1,5 @@
+# Standard Packages
+from packaging import version
 # External Packages
 import torch
 from pathlib import Path
@@ -12,7 +14,15 @@ model = SearchModels()
 processor_config = ProcessorConfigModel()
 config_file: Path = ""
 verbose: int = 0
-device = torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu") # Set device to GPU if available
 host: str = None
 port: int = None
-cli_args = None
+cli_args = None
+
+if torch.cuda.is_available():
+    # Use CUDA GPU
+    device = torch.device("cuda:0")
+elif version.parse(torch.__version__) >= version.parse("1.13.0.dev") and torch.backends.mps.is_available():
+    # Use Apple M1 Metal Acceleration
+    device = torch.device("mps")
+else:
+    device = torch.device("cpu")