TensorFlow Probability 0.18.0 Release notes This is the 0.18.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.10 and JAX 0.3.17 . Change notes [coming soon] Huge thanks to all the contributors to this release!
tensorflow_probability.python.bijectors的一些使用 网上见到一个TensorFlow的代码,没见过这个形式的,是概率编程的代码: #coding=utf-8#Copyright 2020 The TF-Agents Authors.# #Licensed under the Apache License, Version 2.0 (the "License");#you may not use this file except in compliance with the License...
在conda 环境, 升级tensorflow和tensorflow probability。 1. 首先使用 conda search tensorflow (在conda 的tensorflow安装环境,见历史文章conda安装tensorflow) 查看当前conda环境TF的可安装版本。 2. 接着升级到指定版本, 一般可采用conda install tensorflow-gpu=version, 但经常会安装太慢,因此需要换国内源。 3. 还...
To use a pre-2.0 version of TensorFlow, run: python -m pip install --upgrade --user"tensorflow<2""tensorflow_probability<0.9" Note: SinceTensorFlowisnotincluded as a dependency of the TensorFlow Probability package (insetup.py), you must explicitly install the TensorFlow package (tensorfloworten...
onnxruntime-gpu 1.9.0 好像需要考虑gpu的驱动版本 tensorflow-gpu 2.11.0 tf2其实可以直接安装tensorflow tensorflow-addons 0.21.0 tensorflow-probability 0.19.0 torch 1.12.1+cu113 cudatoolkit 11.3.1 cudnn 8.2.1 cuda11.3_0 cudatoolkit-dev 11.4.0 可以提供nvcc命令 gxx 9.5.0 gcc 9.5.0 ...
pip install --upgrade tensorflow-probability==0.10.1 conda install pytorch==1.5.1 torchvision==0.6.1 cudatoolkit=10.1 -c pytorch # 耗时:1~2min 1. 2. 3. 4. 5. 6. 7. # 运行FVD代码所需的其它包 pip install --upgrade tensorflow-hub ...
TensorFlow 2.0的夜间版(nightly build version),可在pypi上预览发布使用: tf-nightly-2.0-preview tf-nightly-gpu-2.0-preview 也可以通过将 —config = v2 传递给 bazel命令 (运行configure之后) 从源构建。TensorFlow 2.0是从同一个源代码树构建的,因此如果你想从源代码构建,只需从master构建即可。
probability = pred_dict['probabilities'][class_id]print(template.format(iris_data.SPECIES[class_id],100* probability, expec)) 运行上面的代码会生成以下输出: ... Predictionis"Setosa"(99.6%), expected"Setosa"Predictionis"Versicolor"(99.8%), expected"Versicolor"Predictionis"Virginica"(97.9%), expec...
write_version=tf.train.SaverDef.V2, pad_step_number=False, save_relative_paths=False, filename=None ) 对我们来说比较关注的有以下几个配置参数: 保存模型时: var_list:特殊需要保存和恢复的变量和可保存对象列表或字典,默认为空,将会保存所有的可保存对象; ...
import tensorflow as tf # pylint: disable=g-explicit-tensorflow-version-import from tensorflow_probability.python.bijectors import bijector __all__ = [ "Tanh", ] class Tanh(bijector.Bijector): """Bijector that computes `Y = tanh(X)`, therefore `Y in (-1, 1)`. ...