DeepGEMM/deep_gemm/testing/numeric.py

import torch
from typing import Iterable


def calc_diff(x: torch.Tensor, y: torch.Tensor):
    x, y = x.double(), y.double()
    denominator = (x * x + y * y).sum()
    if denominator == 0:    # Which means that all elements in x and y are 0
        return 0.0
    sim = 2 * (x * y).sum() / denominator
    return 1 - sim


def count_bytes(*tensors):
    total = 0
    for t in tensors:
        if isinstance(t, (tuple, list)):
            total += count_bytes(*t)
        elif t is not None:
            total += t.numel() * t.element_size()
    return total