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HowToSD-ComfyUI-Pt-Wrapper/modules/pytorch_wrapper/pt_eq.py
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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 PtEq:
"""
Tests whether two PyTorch tensors are equal element-wise.
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 equality.
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 element-wise equality.
"""
return (torch.eq(tens_a, tens_b),)