TensorArrayScatter
tensorflow C++ API
tensorflow::ops::TensorArrayScatter
Scatter the data from the input value into specific TensorArray elements.
Summary
Indices must be a vector, its length must match the first dim of value.
Arguments:
- scope: A Scope object
- handle: The handle to a TensorArray.
- indices: The locations at which to write the tensor elements.
- value: The tensor to write to 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
- TensorArrayScatter(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input indices, ::tensorflow::Input value, ::tensorflow::Input flow_in).
Public attributes
- tensorflow::Output flow_out.
TensorArrayScatter 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 vecter.
- value : connect Input node or input tensor value.
- flow_in : connect Input node.
Return:
- Output flow_out: Output object of TensorArrayScatter class object.
Result:
- std::vector(Tensor) product_result : Returned object of executed result by calling session.