自定义数据读取 主要内容 自定义数据读取 编写一个文件格式读写器 编写一个记录格式Op 自定义数据读取 基本要求: 熟悉 C++ 编程。 确保下载 TensorFlow 源文件 , 并可编译使用。 我们将支持文件格式的任务分成两部分： 文件格式: 我们使用 Reader Op来从文件中读取一个 record (可以使任意字符串...

Concepts Design Doc Message Representation RPC Service Concepts Design Doc This document describes core concepts of ElasticDL. An ElasticDL model consists of two kinds of par...

Extend Extend This section explains how developers can add functionality to TensorFlow’scapabilities. Begin by reading the following architectural overview: @{$architecture$T...

OneFlow 和 ONNX 交互 oneflow_convert_tools oneflow_onnx 简介 环境依赖 用户环境配置 安装 安装方式1 使用方法 相关文档 nchw2nhwc_tool 简介 save_serving_tool 简介 OneFlow 和 ONNX 交互 oneflow_convert_too...

Serving Istio Integration (for TF Serving) Seldon Serving NVIDIA TensorRT Inference Server TensorFlow Serving TensorFlow Batch Predict PyTorch Serving Serving Serving of ...

Overview Multi-framework serving with KFServing or Seldon Core TensorFlow Serving NVIDIA Triton Inference Server BentoML Overview Model serving overview Kubeflow supports ...

Why use Keras? Keras prioritizes developer experience Keras has broad adoption in the industry and the research community Keras makes it easy to turn models into products Keras ...

常用深度学习框架 2018.09.13 性能对比 1. 训练时间: Network DenseNet-121 (Multi-GPU) 2. 1000张图片推理时间(s): Network ResNet-50 3. CPU推理时间(s): E5-2630v4, Network FCN5 框架评价 推荐框架 1.Keras 2.TensorFlo...

6-4 Model Training Using Multiple GPUs 1. Data Preparation 2. Model Defining 3. Model Training 6-4 Model Training Using Multiple GPUs We recommend using pre-defined fit met...

Data Frames Spark Data Frames Scikit-learn Data Frames MLeap Data Frames: Leap Frames Example Leap Frame Tensorflow Data Frames Data Frames are used to store data during e...