TeaPoly

#!/usr/bin/python
# -*- coding: utf-8 -*-

import torch


def round_ste(x):
    # STE for gradient
    return torch.floor(x + 0.5).detach() + (x - x.detach())

TeaPoly

#!/usr/bin/python
# -*- coding: utf-8 -*-

import torch


def absmean_binarize(x, contract_dims, centralize=False, eps=1e-8):
    if centralize:
        mean = torch.mean(x, dim=contract_dims, keepdim=True)
        x = x - mean

TeaPoly

#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2024 Lucky Wong
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#