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aliran tensor:: operasi:: ParalelConcat
#include <array_ops.h> Menggabungkan daftar N tensor sepanjang dimensi pertama.
Ringkasan
Semua tensor masukan harus memiliki ukuran 1 pada dimensi pertama.
Misalnya:
# 'x' is [[1, 4]]
# 'y' is [[2, 5]]
# 'z' is [[3, 6]]
parallel_concat([x, y, z]) => [[1, 4], [2, 5], [3, 6]] # Pack along first dim.
Perbedaan antara concat dan parallel_concat adalah concat mengharuskan semua masukan dihitung sebelum operasi dimulai tetapi tidak mengharuskan bentuk masukan diketahui selama pembuatan grafik. Concat paralel akan menyalin potongan masukan ke keluaran saat tersedia, dalam beberapa situasi hal ini dapat memberikan manfaat kinerja.
Argumen:
- ruang lingkup: Objek Lingkup
- nilai: Tensor yang akan digabungkan. Semua harus memiliki ukuran 1 pada dimensi pertama dan bentuk yang sama.
- bentuk: bentuk akhir dari hasil; harus sama dengan bentuk masukan apa pun tetapi dengan jumlah nilai masukan pada dimensi pertama.
Pengembalian:
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::ParallelConcat Class Reference\n\ntensorflow::ops::ParallelConcat\n===============================\n\n`#include \u003carray_ops.h\u003e`\n\nConcatenates a list of `N` tensors along the first dimension.\n\nSummary\n-------\n\nThe input tensors are all required to have size 1 in the first dimension.\n\nFor example:\n\n\n```scdoc\n# 'x' is [[1, 4]]\n# 'y' is [[2, 5]]\n# 'z' is [[3, 6]]\nparallel_concat([x, y, z]) =\u003e [[1, 4], [2, 5], [3, 6]] # Pack along first dim.\n```\n\n\u003cbr /\u003e\n\nThe difference between concat and parallel_concat is that concat requires all of the inputs be computed before the operation will begin but doesn't require that the input shapes be known during graph construction. Parallel concat will copy pieces of the input into the output as they become available, in some situations this can provide a performance benefit.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- values: Tensors to be concatenated. [All](/versions/r2.1/api_docs/cc/class/tensorflow/ops/all#classtensorflow_1_1ops_1_1_all) must have size 1 in the first dimension and same shape.\n- shape: the final shape of the result; should be equal to the shapes of any input but with the number of input values in the first dimension.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The concatenated tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ParallelConcat](#classtensorflow_1_1ops_1_1_parallel_concat_1a60020ca0a0ad9b1f1f1ab296cc49745d)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::InputList](/versions/r2.1/api_docs/cc/class/tensorflow/input-list#classtensorflow_1_1_input_list)` values, PartialTensorShape shape)` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_parallel_concat_1af663fb0e8d0b48dbdd39c4663f6a995c) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_parallel_concat_1ad8442cea6d8145bdcdc7fa4546c3a25c) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_parallel_concat_1ac4a6ff40acbc954f1d49c80fc94645df)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_parallel_concat_1a2bf16ff17da885269b998bbd3053caea)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_parallel_concat_1ab99eff81cc7f72feedcba5cb98e7b689)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### ParallelConcat\n\n```gdscript\n ParallelConcat(\n const ::tensorflow::Scope & scope,\n ::tensorflow::InputList values,\n PartialTensorShape shape\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```"]]
