Uses of Class
org.bytedeco.javacpp.tensorflow.StringTensorPairVector

Packages that use tensorflow.StringTensorPairVector

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.StringTensorPairVector in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.StringTensorPairVector

Modifier and Type	Method and Description
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.first(long i, BytePointer first)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.first(long i, String first)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.put(BytePointer[] firstValue, tensorflow.Tensor[] secondValue)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.put(String[] firstValue, tensorflow.Tensor[] secondValue)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.put(tensorflow.StringTensorPairVector x)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.second(long i, tensorflow.Tensor second)

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

Modifier and Type	Method and Description
tensorflow.Status	tensorflow.Session.PRun(BytePointer handle, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs) \brief Continues the pending execution specified by handle with the provided input tensors and fills outputs for the endpoints specified in output_names.
tensorflow.Status	tensorflow.Session.PRun(String handle, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.put(tensorflow.StringTensorPairVector x)
tensorflow.Status	tensorflow.GraphRunner.Run(tensorflow.Graph graph, tensorflow.FunctionLibraryRuntime function_library, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_names, tensorflow.TensorVector outputs)
tensorflow.Status	tensorflow.Session.Run(tensorflow.RunOptions run_options, tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_tensor_names, tensorflow.StringVector target_node_names, tensorflow.TensorVector outputs, tensorflow.RunMetadata run_metadata) \brief Like Run, but allows users to pass in a RunOptions proto and to retrieve non-Tensor metadata output via a RunMetadata proto for this step.
tensorflow.Status	tensorflow.Session.Run(tensorflow.StringTensorPairVector inputs, tensorflow.StringVector output_tensor_names, tensorflow.StringVector target_node_names, tensorflow.TensorVector outputs) \brief Runs the graph with the provided input tensors and fills outputs for the endpoints specified in output_tensor_names.