fanre的专栏

import tensorflow as tfimport numpy as npimport tensorflow_addons as tfaimport SimpleITK as sitkprint(tf.__version__)import tensorflow as tfimport matplotlib.pyplot as pltgpus = tf.config.experimental.list_physical_devices('GPU')tf.config.experim.

转自：https://www.jb51.net/article/187172.htm#新建一个打印层。class PrintLayer(tf.keras.layers.Layer): def __init__(self, **kwargs): #初始化方法，不须改变 super(PrintLayer, self).__init__(**kwargs) def call(self, x): # 调用该层时执行的方法 x = tf.co

参考：https://github.com/openai/gradient-checkpointing https://www.jqr.com/article/000537 https://www.infoq.cn/article/fRN0eVBNedTIrm5_Ps1M使用gradient-checkpointing来节省存储 ...

参考：https://github.com/IBM/tensorflow-large-model-support该库提供了一种训练大模型的方法，这些模型往往是GPU显存不足，它采用用户自定义的图，并自动添加swap-in和swap-out节点，用于将tensors从GPUs传输到主机设备，反之亦然。计算图是静态修改的。因此，它需要在回话开始前就完成。IBM PowerAI 1.6包含比gi...