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dnn: fix pooling HAL doc-build warnings (unresolvable ConvState @ref and partial avgpool param docs)

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velonica0
2026-08-02 18:59:09 -07:00
parent b907960e0b
commit f04ff17028
1 changed files with 3 additions and 3 deletions
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6
modules/dnn/src/hal_replacement.hpp
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@@ -28,7 +28,7 @@
//! the default @c hal_ni_* below returns @c CV_HAL_ERROR_NOT_IMPLEMENTED, so the
//! built-in implementation runs unchanged when no backend is present.
//!
//! Tensors use the engine's blocked NCDHWc layout described by @ref cv::dnn::ConvState:
//! Tensors use the engine's blocked NCDHWc layout described by @c cv::dnn::ConvState:
//! @c N * C1 channel-blocks of @c C0 channels each, laid out as [N, C1, ...spatial..., C0].
//!
//! **Parallelism is owned by OpenCV, not by the HAL.** Each hook receives a task
@@ -49,8 +49,8 @@ inline int hal_ni_dnn_maxpool3d32f(const float* inp_data, float* out_data, int C
const int* ofstab, int ksize, int task_start, int task_end)
{ return CV_HAL_ERROR_NOT_IMPLEMENTED; }
/** @brief Average pooling over a slice [task_start, task_end) of the output (blocked NCDHWc, CV_32F).
@param count_include_pad nonzero to divide by the full kernel size (count padded cells) */
/** @brief Average pooling over a slice [task_start, task_end) of the output (blocked NCDHWc,
CV_32F); a nonzero @c count_include_pad divides by the full kernel size (counts padded cells). */
inline int hal_ni_dnn_avgpool3d32f(const float* inp_data, float* out_data, int C0,
const int* insize, const int* outsize, const int* strides,
const int* pads, const int* inner, const int* coordtab,