47 lines
1.1 KiB
Python
47 lines
1.1 KiB
Python
from typing import Any, Dict
|
|
import torch
|
|
import ast
|
|
|
|
|
|
class PtSizeCreate:
|
|
"""
|
|
Creates a PyTorch Size using values entered in the text field.
|
|
|
|
category: PyTorch wrapper - Size object support
|
|
"""
|
|
|
|
@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": {
|
|
"data": ("STRING", {"multiline": True}),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES: tuple = ("PTSIZE",)
|
|
FUNCTION: str = "f"
|
|
CATEGORY: str = "Data Analysis"
|
|
|
|
def f(self, data: str) -> tuple:
|
|
"""
|
|
Creates a PyTorch Size using values entered in the text field.
|
|
|
|
Args:
|
|
data (str): String value in the text field.
|
|
|
|
Returns:
|
|
tuple: A tuple containing the PyTorch Size.
|
|
"""
|
|
# Convert string to Python list
|
|
list_data = ast.literal_eval(data)
|
|
|
|
# Convert list to PyTorch Size
|
|
size = torch.Size(list_data)
|
|
return (size,)
|