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2025-03-10 14:34:01 -07:00

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Python

from typing import Any, Dict
import torch
class PtToNumpy:
"""
Converts PyTorch tensor to NumPy ndarray.
category: PyTorch wrapper - Tensor data conversion
"""
@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": {
"tens": ("TENSOR", {}),
}
}
RETURN_TYPES: tuple = ("NDARRAY",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, tens: torch.Tensor) -> tuple:
"""
Converts PyTorch tensor to NumPy ndarray.
Args:
tens (torch.Tensor): PyTorch Tensor
Returns:
tuple: A tuple containing the ndarray.
"""
array = tens.cpu().detach().numpy()
return (array,)