TensorArrayConcat

tensorflow C++ API

tensorflow::ops::TensorArrayConcat

Concat the elements from the TensorArray into value.

Summary

TakesTelements of shapes

``` (n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...) ```

and concatenates them into a Tensor of shape:

(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)

All elements must have the same shape (excepting the first dimension).

Arguments:

• scope: A Scope object
• handle: The handle to a TensorArray.
• 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_except0: The expected shape of an element, if known, excluding the first dimension. Used to validate the shapes of TensorArray elements. If this shape is not fully specified, concatenating zero-size TensorArrays is an error.

Returns:

• Output value: All of the elements in the TensorArray , concatenated along the first axis.
• Output lengths: A vector of the row sizes of the original T elements in the value output. In the example above, this would be the values:(n1, n2, ..., n(T-1)).

Constructor

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

Public attributes

• tensorflow::Output lengths.
• tensorflow::Output value.

TensorArrayConcat 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.
• flow_in : connect Input node.
• DataType dtype : input datatype. ex) DT_DOUBLE
• TensorArrayConcat::Attrs attrs : input attrs array. ex) element_shape_except0_ ={2}

Return:

• Output value : Output object of TensorArrayConcat class object.
• Output lengths : Output object of TensorArrayConcat class object.

Result:

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

Using Method