텐서플로우:: ops:: TensorArrayConcat
#include <data_flow_ops.h> TensorArray 의 요소들을 연결하여 value value 생성합니다.
요약
도형의 T 개 요소를 취합니다.
(n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...)
그리고 이들을 다음과 같은 형태의 텐서 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 (see Attrs):
* 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: *Outputvalue: All of the elements in the TensorArray, concatenated along the first axis. *Outputlengths: 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 | |
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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 속성 | |
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lengths | |
operation | |
value | |
공개 정적 함수 | |
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ElementShapeExcept0 (PartialTensorShape x) | |
구조 | |
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| 텐서플로우:: ops:: TensorArrayConcat:: Attrs | TensorArrayConcat 에 대한 선택적 속성 설정기입니다. |
공개 속성
길이
::tensorflow::Output lengths
작업
Operation operation
값
::tensorflow::Output value
공공 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 )