Initial phase of adding PyTorch support for data analysis. Added conversion nodes.

modules/pytorch_wrapper/pt_from_numpy.py

@@ -0,0 +1,42 @@
+from typing import Any, Dict, Tuple
+import numpy as np
+import torch
+
+
+class PtFromNumpy:
+    """
+    Converts a NumPy ndarray to a PyTorch tensor while preserving its data type.
+
+    category: PyTorch wrapper
+    """
+
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "array": ("NDARRAY", {}),
+            }
+        }
+
+    RETURN_TYPES: tuple = ("TENSOR",)
+    FUNCTION: str = "f"
+    CATEGORY: str = "PyTorch wrapper"
+
+    def f(self, array: np.ndarray) -> Tuple[torch.Tensor]:
+        """
+        Converts a NumPy ndarray to a PyTorch tensor while preserving its data type.
+
+        Args:
+            array (np.ndarray): NumPy ndarray.
+
+        Returns:
+            tuple: A tuple containing the PyTorch tensor.
+        """
+        tens = torch.tensor(array, dtype=torch.from_numpy(array).dtype)
+        return (tens,)