《tensorflow》专题

Configuration information for a Session . Member Summary Env* tensorflow::SessionOptions::env The environment to use. string tensorflow::SessionOptions::target The TensorFlow runtime to connect to. Co

TensorFlow's public C++ API includes only the API for executing graphs, as of version 0.5. To control the execution of a graph from C++: Build the computation graph using the Python API. Use tf.train.

A file abstraction for sequential writing. The implementation must provide buffering since callers may append small fragments at a time to the file. Member Summary tensorflow::WritableFile::WritableFi

Member Summary tensorflow::Thread::Thread() virtual tensorflow::Thread::~Thread() Blocks until the thread of control stops running. Member Details tensorflow::Thread::Thread() virtual tensorflow::Thre

Static helper routines for TensorShape. Includes a few common predicates on a tensor shape. Member Summary static bool tensorflow::TensorShapeUtils::IsScalar(const TensorShape &shape) static bool tens

Member Summary tensorflow::TensorShapeIter::TensorShapeIter(const TensorShape *shape, int d) bool tensorflow::TensorShapeIter::operator==(const TensorShapeIter &rhs) bool tensorflow::TensorShapeIter::

Manages the dimensions of a Tensor and their sizes. Member Summary tensorflow::TensorShape::TensorShape(gtl::ArraySlice< int64 > dim_sizes) Construct a TensorShape from the provided sizes. REQUIRES: d

Member Summary tensorflow::TensorBuffer::~TensorBuffer() override virtual void* tensorflow::TensorBuffer::data() const =0 virtual size_t tensorflow::TensorBuffer::size() const =0 virtual TensorBuffer*

Represents an n-dimensional array of values. Member Summary tensorflow::Tensor::Tensor() Default Tensor constructor. Creates a 1-dimension, 0-element float tensor. tensorflow::Tensor::Tensor(DataType

Member Summary tensorflow::Status::Status() Create a success status. tensorflow::Status::~Status() tensorflow::Status::Status(tensorflow::error::Code code, tensorflow::StringPiece msg) Create a status

A Session instance lets a caller drive a TensorFlow graph computation. When a Session is created with a given target, a new Session object is bound to the universe of resources specified by that targe

A file abstraction for randomly reading the contents of a file. Member Summary tensorflow::RandomAccessFile::RandomAccessFile() virtual tensorflow::RandomAccessFile::~RandomAccessFile() virtual Status

An implementation of Env that forwards all calls to another Env . May be useful to clients who wish to override just part of the functionality of another Env . Member Summary tensorflow::EnvWrapper::E

An interface used by the tensorflow implementation to access operating system functionality like the filesystem etc. Callers may wish to provide a custom Env object to get fine grain control. All Env

Introduction TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the