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텐서플로우:: 작전:: MaxPoolWithArgmax
#include <nn_ops.h>
입력에 대해 최대 풀링을 수행하고 최대 값과 인덱스를 모두 출력합니다.
요약
argmax
의 인덱스는 평면화되어 [b, y, x, c]
위치의 최대값이 평면화된 인덱스가 됩니다. (y * width + x) * channels + c
if include_batch_in_index
가 False이고; ((b * height + y) * width + x) * channels + c
include_batch_in_index
가 True인 경우)
반환된 인덱스는 패딩이 포함되고 수학적으로 정답이 외부에 있는 경우에도(음수 또는 너무 큰 경우) 병합하기 전에 항상 [0, height) x [0, width)
입니다. 이는 버그이지만 특히 병합으로 인해 이전 버전과 안전하게 호환되는 방식으로 수정하기가 어렵습니다.
인수:
- 범위: 범위 개체
- 입력:
[batch, height, width, channels]
모양의 4D. 풀에 대한 입력이 끝났습니다. - ksize: 입력 텐서의 각 차원에 대한 창 크기입니다.
- strides: 입력 텐서의 각 차원에 대한 슬라이딩 윈도우의 보폭입니다.
- padding: 사용할 패딩 알고리즘 유형입니다.
선택적 속성( Attrs
참조):
- include_batch_in_index:
argmax
의 평면화된 인덱스에 배치 차원을 포함할지 여부입니다.
보고:
-
Output
출력: 최대 풀링된 출력 텐서. -
Output
최대: 4-D. 각 출력에 대해 선택된 최대값의 평면화된 인덱스입니다.
공개 속성
공공 기능
MaxPoolWithArgmax
MaxPoolWithArgmax(
const ::tensorflow::Scope & scope,
::tensorflow::Input input,
const gtl::ArraySlice< int > & ksize,
const gtl::ArraySlice< int > & strides,
StringPiece padding
)
공개 정적 함수
인클루드배치인인덱스
Attrs IncludeBatchInIndex(
bool x
)
타르그맥스
Attrs Targmax(
DataType x
)
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최종 업데이트: 2025-07-27(UTC)
[null,null,["최종 업데이트: 2025-07-27(UTC)"],[],[],null,["# tensorflow::ops::MaxPoolWithArgmax Class Reference\n\ntensorflow::ops::MaxPoolWithArgmax\n==================================\n\n`#include \u003cnn_ops.h\u003e`\n\nPerforms max pooling on the input and outputs both max values and indices.\n\nSummary\n-------\n\nThe indices in `argmax` are flattened, so that a maximum value at position `[b, y, x, c]` becomes flattened index: `(y * width + x) * channels + c` if `include_batch_in_index` is False; `((b * height + y) * width + x) * channels + c` if `include_batch_in_index` is True.\n\nThe indices returned are always in `[0, height) x [0, width)` before flattening, even if padding is involved and the mathematically correct answer is outside (either negative or too large). This is a bug, but fixing it is difficult to do in a safe backwards compatible way, especially due to flattening.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: 4-D with shape `[batch, height, width, channels]`. [Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input) to pool over.\n- ksize: The size of the window for each dimension of the input tensor.\n- strides: The stride of the sliding window for each dimension of the input tensor.\n- padding: The type of padding algorithm to use.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_with_argmax_1_1_attrs)):\n\n- include_batch_in_index: Whether to include batch dimension in flattened index of `argmax`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output: The max pooled output tensor.\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) argmax: 4-D. The flattened indices of the max values chosen for each output.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [MaxPoolWithArgmax](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1abb51fa41db084247e489859748d89eec)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding)` ||\n| [MaxPoolWithArgmax](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1a0c2a8005c65f80a0714ab13c31ac9b4a)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, const gtl::ArraySlice\u003c int \u003e & ksize, const gtl::ArraySlice\u003c int \u003e & strides, StringPiece padding, const `[MaxPoolWithArgmax::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_with_argmax_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [argmax](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1a3ee6b2270133581582b335bb54c206cd) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1ad70c7f4c8878ff933f05f49d914b32c5) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1ae10e4e4c026e2fb47004e52ccae14cd5) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [IncludeBatchInIndex](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1a4e5f3eabc676bb9818da7a13ed74280d)`(bool x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_with_argmax_1_1_attrs) |\n| [Targmax](#classtensorflow_1_1ops_1_1_max_pool_with_argmax_1a42ae4bbc217faf11615e6e2248886754)`(DataType x)` | [Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool-with-argmax/attrs#structtensorflow_1_1ops_1_1_max_pool_with_argmax_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::MaxPoolWithArgmax::Attrs](/versions/r2.2/api_docs/cc/struct/tensorflow/ops/max-pool-with-argmax/attrs) | Optional attribute setters for [MaxPoolWithArgmax](/versions/r2.2/api_docs/cc/class/tensorflow/ops/max-pool-with-argmax#classtensorflow_1_1ops_1_1_max_pool_with_argmax). |\n\nPublic attributes\n-----------------\n\n### argmax\n\n```text\n::tensorflow::Output argmax\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### MaxPoolWithArgmax\n\n```gdscript\n MaxPoolWithArgmax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding\n)\n``` \n\n### MaxPoolWithArgmax\n\n```gdscript\n MaxPoolWithArgmax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n const gtl::ArraySlice\u003c int \u003e & ksize,\n const gtl::ArraySlice\u003c int \u003e & strides,\n StringPiece padding,\n const MaxPoolWithArgmax::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### IncludeBatchInIndex\n\n```text\nAttrs IncludeBatchInIndex(\n bool x\n)\n``` \n\n### Targmax\n\n```text\nAttrs Targmax(\n DataType x\n)\n```"]]