텐서플로우:: 작전:: TensorArrayConcat
#include <data_flow_ops.h>
TensorArray 의 요소를 value value
으로 연결합니다 .
요약
모양의 T
요소를 사용합니다.
(n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...)
그리고 그것들을 모양의 Tensor 로 연결합니다:
``(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))
.
생성자와 소멸자
TensorArrayConcat (const :: tensorflow::Scope & scope, :: tensorflow::Input handle, :: tensorflow::Input flow_in, DataType dtype)
TensorArrayConcat (const :: tensorflow::Scope & scope, :: tensorflow::Input handle, :: tensorflow::Input flow_in, DataType dtype, const TensorArrayConcat::Attrs & attrs)
공개 정적 함수
ElementShapeExcept0 (PartialTensorShape x)
구조체
tensorflow:: ops:: TensorArrayConcat:: Attrs TensorArrayConcat 에 대한 선택적 속성 설정자입니다.
공개 속성
길이
::tensorflow::Output lengths작업
Operation operation값
::tensorflow::Output value공공 기능
TensorArrayConcat
TensorArrayConcat( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input flow_in, DataType dtype )TensorArrayConcat
TensorArrayConcat( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input flow_in, DataType dtype, const TensorArrayConcat::Attrs & attrs )공개 정적 함수
ElementShapeExcept0
Attrs ElementShapeExcept0( PartialTensorShape x )