Error inserting torch tensors into a heapq using duplicated priorities

Question

How to avoid RuntimeError: bool value of Tensor with more than one value is ambiguous in this code?

import torch
import heapq

h = []
heapq.heappush(h, (1, torch.Tensor([[1,2]])))
heapq.heappush(h, (1, torch.Tensor([[3,4]])))

It happens because the comparison between tuples compares the second elements when the first ones are equal

Answer 1

It is necessary to prevent the heapq from trying to compare the second elements of the tuple when it finds duplicate priorities and only needs to redefine the < operator for my elements.

import torch
import heapq

class HeapItem:
    def __init__(self, p, t):
        self.p = p
        self.t = t

    def __lt__(self, other):
        return self.p < other.p

h = []
heapq.heappush(h, HeapItem(1, torch.Tensor([[1,2]])))
heapq.heappush(h, HeapItem(1, torch.Tensor([[3,4]])))