TensorArraySplit

tensorflow C++ API

tensorflow::ops::TensorArraySplit

Split the data from the input value into TensorArray elements.

Summary

Assuming thatlengthstakes on values

(n0, n1, ..., n(T-1))

and thatvaluehas shape

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

this splits values into a TensorArray with T tensors.

TensorArray index t will be the subtensor of values with starting position

(n0 + n1 + ... + n(t-1), 0, 0, ...)

and having size

nt x d0 x d1 x ...

Arguments:

• scope: A Scope object
• handle: The handle to a TensorArray.
• value: The concatenated tensor to write to the TensorArray.
• lengths: The vector of lengths, how to split the rows of value into the TensorArray.
• flow_in: A float scalar that enforces proper chaining of operations.

Returns:

• Output : A float scalar that enforces proper chaining of operations.

Constructor

• TensorArraySplit(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in).

Public attributes

• tensorflow::Output flow_out.

TensorArraySplit 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.
• value : connect Input node or input tensor value.
• lengths : connect Input node or input length number array.
• flow_in : connect Input node.

Return:

• Output flow_out: Output object of TensorArraySplit class object.

Result:

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

Using Method