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tensorflow::ops::TensorArraySplit
#include <data_flow_ops.h>
Split the data from the input value into TensorArray elements.
Summary
Assuming that lengths takes on values
(n0, n1, ..., n(T-1))
and that value has 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 ...
Args:
- 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.
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::TensorArraySplit Class Reference\n\ntensorflow::ops::TensorArraySplit\n=================================\n\n`#include \u003cdata_flow_ops.h\u003e`\n\nSplit the data from the input value into [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) elements.\n\nSummary\n-------\n\nAssuming that `lengths` takes on values\n\n\n```text\n (n0, n1, ..., n(T-1))\n \n```\n\n\u003cbr /\u003e\n\nand that `value` has shape\n\n\n```text\n (n0 + n1 + ... + n(T-1) x d0 x d1 x ...),\n \n```\n\n\u003cbr /\u003e\n\nthis splits values into a [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) with T tensors.\n\n[TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) index t will be the subtensor of values with starting position\n\n\n```text\n (n0 + n1 + ... + n(t-1), 0, 0, ...)\n \n```\n\n\u003cbr /\u003e\n\nand having size\n\n\n```text\n nt x d0 x d1 x ...\n \n```\n\n\u003cbr /\u003e\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- value: The concatenated tensor to write to the [TensorArray](/versions/r2.14/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array).\n- lengths: The vector of lengths, how to split the rows of value into the [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\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A float scalar that enforces proper chaining of operations.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [TensorArraySplit](#classtensorflow_1_1ops_1_1_tensor_array_split_1ae33a80f5f64f1d0ce47cb9ba380ee6bb)`(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)` value, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lengths, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [flow_out](#classtensorflow_1_1ops_1_1_tensor_array_split_1a6a6beee076f43e4045b8327c9a8f0be9) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_tensor_array_split_1a1cf9133d6b7032ba48abeff356547a58) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_tensor_array_split_1ad03cc93202545e0234d90faee0425ed9)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_tensor_array_split_1ac2029be4ba96df5da32f6bd0fc3fb8b1)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_tensor_array_split_1ab90a5c257e9a8df6209a663ade45e3fc)`() const ` | |\n\nPublic attributes\n-----------------\n\n### flow_out\n\n```scdoc\n::tensorflow::Output flow_out\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### TensorArraySplit\n\n```gdscript\n TensorArraySplit(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input value,\n ::tensorflow::Input lengths,\n ::tensorflow::Input flow_in\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
