diff options
Diffstat (limited to 'arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h')
| -rw-r--r-- | arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h b/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h index 171f5e63b6..b6f55b5bf8 100644 --- a/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h +++ b/arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -47,14 +47,14 @@ public: CPPBoxWithNonMaximaSuppressionLimit &operator=(const CPPBoxWithNonMaximaSuppressionLimit &) = delete; /** Configure the BoxWithNonMaximaSuppressionLimit CPP kernel * - * @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/F16/F32 + * @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 * @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4]. - * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8, otherwise same as @p scores_in + * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in * @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in * @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images. * @param[out] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in * @param[out] boxes_out The boxes output tensor of size [N, 4]. - * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8, otherwise same as @p scores_in + * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in * @param[out] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in * @param[out] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in * @param[out] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in @@ -65,14 +65,14 @@ public: ITensor *batch_splits_out = nullptr, ITensor *keeps = nullptr, ITensor *keeps_size = nullptr, const BoxNMSLimitInfo info = BoxNMSLimitInfo()); /** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionOutputLayer * - * @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/F16/F32 + * @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32 * @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4]. - * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8, otherwise same as @p scores_in + * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in * @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in * @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images. * @param[in] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in * @param[in] boxes_out The boxes output tensor of size [N, 4]. - * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8, otherwise same as @p scores_in + * Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in * @param[in] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in * @param[in] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in * @param[in] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in |