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tensorflow::ops::TensorArrayConcat
#include <data_flow_ops.h>
Concat the elements from the TensorArray into value value
.
Summary
Takes T
elements of shapes
(n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...)
and concatenates them into a Tensor of shape:
(n0 + n1 + ... + n(T-1) x d0 x d1 x ...)
All elements must have the same shape (excepting the first dimension).
Args:
- 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:
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))
.
Public attributes
Public functions
Public static functions
ElementShapeExcept0
Attrs ElementShapeExcept0(
PartialTensorShape x
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::TensorArrayConcat Class Reference\n\ntensorflow::ops::TensorArrayConcat\n==================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\n[Concat](/versions/r2.14/api_docs/cc/class/tensorflow/ops/concat#classtensorflow_1_1ops_1_1_concat) the elements from the [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) into value `value`.\n\nSummary\n-------\n\nTakes `T` elements of shapes\n\n\n```text\n (n0 x d0 x d1 x ...), (n1 x d0 x d1 x ...), ..., (n(T-1) x d0 x d1 x ...)\n \n```\n\n\u003cbr /\u003e\n\nand concatenates them into a [Tensor](/versions/r2.14/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) of shape:\n\n\n```text\n (n0 + n1 + ... + n(T-1) x d0 x d1 x ...)\n \n```\n\n\u003cbr /\u003e\n\n[All](/versions/r2.14/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) elements must have the same shape (excepting the first dimension).\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to a [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array).\n- flow_in: A float scalar that enforces proper chaining of operations.\n- dtype: The type of the elem that is returned.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/tensor-array-concat/attrs#structtensorflow_1_1ops_1_1_tensor_array_concat_1_1_attrs)):\n\n- element_shape_except0: The expected shape of an element, if known, excluding the first dimension. Used to validate the shapes of [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) elements. If this shape is not fully specified, concatenating zero-size TensorArrays is an error.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) value: [All](/versions/r2.14/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) of the elements in the [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array), concatenated along the first axis.\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_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))`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TensorArrayConcat](#classtensorflow_1_1ops_1_1_tensor_array_concat_1aab54b53cc7e1c5f65154a9ab7a3a2b6f)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` handle, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in, DataType dtype)` ||\n| [TensorArrayConcat](#classtensorflow_1_1ops_1_1_tensor_array_concat_1adce330002ce711626c4b067bca8eb40e)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` handle, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in, DataType dtype, const `[TensorArrayConcat::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/tensor-array-concat/attrs#structtensorflow_1_1ops_1_1_tensor_array_concat_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [lengths](#classtensorflow_1_1ops_1_1_tensor_array_concat_1af3dca4f4a395a0bb0702e092086e7b03) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_tensor_array_concat_1a680b113e26c09068a4f01c01f797b085) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [value](#classtensorflow_1_1ops_1_1_tensor_array_concat_1a636fe92f677b9f2e9d667fa338837b4e) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|-----------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------|\n| [ElementShapeExcept0](#classtensorflow_1_1ops_1_1_tensor_array_concat_1a2e0ae98efaf62f30ca8b83f5f42baa76)`(PartialTensorShape x)` | [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/tensor-array-concat/attrs#structtensorflow_1_1ops_1_1_tensor_array_concat_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::TensorArrayConcat::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/tensor-array-concat/attrs) | Optional attribute setters for [TensorArrayConcat](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array-concat#classtensorflow_1_1ops_1_1_tensor_array_concat). |\n\nPublic attributes\n-----------------\n\n### lengths\n\n```text\n::tensorflow::Output lengths\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\n### value\n\n```text\n::tensorflow::Output value\n``` \n\nPublic functions\n----------------\n\n### TensorArrayConcat\n\n```gdscript\n TensorArrayConcat(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input flow_in,\n DataType dtype\n)\n``` \n\n### TensorArrayConcat\n\n```gdscript\n TensorArrayConcat(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input flow_in,\n DataType dtype,\n const TensorArrayConcat::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### ElementShapeExcept0\n\n```text\nAttrs ElementShapeExcept0(\n PartialTensorShape x\n)\n```"]]