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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