Uses of Class
org.bytedeco.javacpp.presets.tensorflow.Fn

Packages that use tensorflow.Fn

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.Fn in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp with parameters of type tensorflow.Fn

Modifier and Type	Method and Description
void	tensorflow.Device.ComputeAsync(tensorflow.AsyncOpKernel op_kernel, tensorflow.OpKernelContext context, tensorflow.Fn done)
void	tensorflow.AsyncOpKernel.ComputeAsync(tensorflow.OpKernelContext context, tensorflow.Fn done)
void	tensorflow.Env.SchedClosure(tensorflow.Fn closure)
void	tensorflow.EnvWrapper.SchedClosure(tensorflow.Fn closure)
void	tensorflow.Env.SchedClosureAfter(long micros, tensorflow.Fn closure)
void	tensorflow.EnvWrapper.SchedClosureAfter(long micros, tensorflow.Fn closure)
void	tensorflow.ThreadPool.Schedule(tensorflow.Fn fn)
tensorflow.Thread	tensorflow.Env.StartThread(tensorflow.ThreadOptions thread_options, BytePointer name, tensorflow.Fn fn) \brief Returns a new thread that is running fn() and is identified (for debugging/performance-analysis) by "name".
tensorflow.Thread	tensorflow.EnvWrapper.StartThread(tensorflow.ThreadOptions thread_options, BytePointer name, tensorflow.Fn fn)
tensorflow.Thread	tensorflow.Env.StartThread(tensorflow.ThreadOptions thread_options, String name, tensorflow.Fn fn)
tensorflow.Thread	tensorflow.EnvWrapper.StartThread(tensorflow.ThreadOptions thread_options, String name, tensorflow.Fn fn)
tensorflow.Status	tensorflow.DeviceContext.ThenExecute(tensorflow.Device device, tensorflow.Stream stream, tensorflow.Fn func)