TensorArrayGather

tensorflow C++ API

tensorflow::ops::TensorArrayGather

Gather specific elements from the TensorArray into output value.

Summary

All elements selected by indices must have the same shape.

Arguments:

• scope: A Scope object
• handle: The handle to a TensorArray.
• indices: The locations in the TensorArray from which to read tensor elements.
• flow_in: A float scalar that enforces proper chaining of operations.
• dtype: The type of the elem that is returned.

Optional attributes (seeAttrs):

• element_shape: The expected shape of an element, if known. Used to validate the shapes of TensorArray elements. If this shape is not fully specified, gathering zero-size TensorArrays is an error.

Returns:

• Output value: All of the elements in the TensorArray , concatenated along a new axis (the new dimension 0).

Constructor

• TensorArrayGather(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input indices, ::tensorflow::Input flow_in, DataType dtype, const TensorArrayGather::Attrs & attrs).

Public attributes

• tensorflow::Output value.

TensorArrayGather block

Source link : https://github.com/EXPNUNI/enuSpace-Tensorflow/blob/master/enuSpaceTensorflow/tf_data_flow_ops.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• handle : connect Input node.
• indices : connect Input node or input indices array.
• flow_in : connect Input node.
• DataType dtype : input datatype. ex) DT_DOUBLE
• TensorArrayGather::Attrs attrs : input attrs array. ex) element_shape={2,2}

Return:

• Output value : Output object of TensorArrayGather class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method