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aliran tensor:: operasi:: QuantizedMaxPool
#include <nn_ops.h> Menghasilkan kumpulan maksimal tensor masukan untuk tipe terkuantisasi.
Ringkasan
Argumen:
- ruang lingkup: Objek Lingkup
- masukan: Tensor 4D (batch x baris x kolom x kedalaman) ke MaxReduce.
- min_input: Nilai float yang diwakili oleh nilai input terkuantisasi terendah.
- max_input: Nilai float yang diwakili oleh nilai input terkuantisasi tertinggi.
- ksize : Ukuran jendela untuk setiap dimensi tensor masukan. Panjangnya harus 4 agar sesuai dengan jumlah dimensi masukan.
- langkah: Langkah jendela geser untuk setiap dimensi tensor masukan. Panjangnya harus 4 agar sesuai dengan jumlah dimensi masukan.
- padding: Jenis algoritma padding yang akan digunakan.
Pengembalian:
- keluaran
Output -
Output min_output: Nilai float yang diwakili oleh nilai output terkuantisasi terendah. -
Output max_output: Nilai float yang diwakili oleh nilai output terkuantisasi tertinggi.
Atribut publik
Fungsi publik
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Terakhir diperbarui pada 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::QuantizedMaxPool Class Reference\n\ntensorflow::ops::QuantizedMaxPool\n=================================\n\n`#include \u003cnn_ops.h\u003e`\n\nProduces the max pool of the input tensor for quantized types.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: The 4D (batch x rows x cols x depth) [Tensor](/versions/r2.3/api_docs/cc/class/tensorflow/tensor#classtensorflow_1_1_tensor) to MaxReduce over.\n- min_input: The float value that the lowest quantized input value represents.\n- max_input: The float value that the highest quantized input value represents.\n- ksize: The size of the window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.\n- strides: The stride of the sliding window for each dimension of the input tensor. The length must be 4 to match the number of dimensions of the input.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) min_output: The float value that the lowest quantized output value represents.\n- [Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) max_output: The float value that the highest quantized output value represents.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QuantizedMaxPool](#classtensorflow_1_1ops_1_1_quantized_max_pool_1a817be0a7d6031a29bfef90a7f6023303)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min_input, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max_input, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [max_output](#classtensorflow_1_1ops_1_1_quantized_max_pool_1a449b1e9df9edeb0d3e25f5278613d66b) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [min_output](#classtensorflow_1_1ops_1_1_quantized_max_pool_1a27a311ff8aac56151f4ca19baf971c7d) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_quantized_max_pool_1a1321affccc07bb31594f255110100b82) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_quantized_max_pool_1a00495fa3c67e8252fa428cdd47740e3d) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\nPublic attributes\n-----------------\n\n### max_output\n\n```scdoc\n::tensorflow::Output max_output\n``` \n\n### min_output\n\n```scdoc\n::tensorflow::Output min_output\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### QuantizedMaxPool\n\n```gdscript\n QuantizedMaxPool(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input min_input,\n ::tensorflow::Input max_input,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n```"]]
