AdvaitBERT-AI_Explanability
/
models
/research
/compression
/entropy_coder
/lib
/blocks_binarizer.py
# Copyright 2017 The TensorFlow Authors All Rights Reserved. | |
# | |
# 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 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# ============================================================================== | |
"""Activation and weight binarizer implementations.""" | |
import math | |
import numpy as np | |
import tensorflow as tf | |
def ConvertSignCodeToZeroOneCode(x): | |
"""Conversion from codes {-1, +1} to codes {0, 1}.""" | |
return 0.5 * (x + 1.0) | |
def ConvertZeroOneCodeToSignCode(x): | |
"""Convert from codes {0, 1} to codes {-1, +1}.""" | |
return 2.0 * x - 1.0 | |
def CheckZeroOneCode(x): | |
return tf.reduce_all(tf.equal(x * (x - 1.0), 0)) | |