Files
HowToSD-ComfyUI-Pt-Wrapper/modules/pytorch_wrapper/pt_ge.py
T
2025-03-10 14:34:01 -07:00

42 lines
1.2 KiB
Python

from typing import Any, Dict
import torch
class PtGe:
"""
Tests whether elements in the first PyTorch tensor are greater than or equal to the corresponding elements in the second tensor.
category: PyTorch wrapper - Comparison operations
"""
@classmethod
def INPUT_TYPES(cls) -> Dict[str, Any]:
"""
Defines the required input types.
Returns:
Dict[str, Any]: A dictionary of required input types.
"""
return {
"required": {
"tens_a": ("TENSOR", {}),
"tens_b": ("TENSOR", {})
}
}
RETURN_TYPES: tuple = ("TENSOR",)
FUNCTION: str = "f"
CATEGORY: str = "Data Analysis"
def f(self, tens_a: torch.Tensor, tens_b: torch.Tensor) -> tuple:
"""
Compares two PyTorch tensors for element-wise greater-than-or-equal-to condition.
Args:
tens_a (torch.Tensor): A PyTorch tensor of any shape.
tens_b (torch.Tensor): A PyTorch tensor of the same shape as `tens_a`.
Returns:
tuple: A tuple containing a boolean tensor indicating where `tens_a >= tens_b`.
"""
return (torch.ge(tens_a, tens_b),)