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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-12-04 15:51:34 +0000 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-12-10 10:44:54 +0000 |
commit | 0b1c2db5c29ed80b7f4dd0c4fd6d4ed91b3d1538 (patch) | |
tree | 4d59e2627ad5d094ff80976488a5488982764d85 /arm_compute/runtime/NEON | |
parent | ec2256b81e6d6f655dcfbc76683738fbfeb82bcc (diff) | |
download | ComputeLibrary-0b1c2db5c29ed80b7f4dd0c4fd6d4ed91b3d1538.tar.gz |
Remove (NE/CL)YoloLayer support
YOLO layer is too specialized and specific to a single model type. Can
be decomposed using split, activation and concatenate layers
Partially Resolves: COMPMID-3996
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I3cde88f8d4cc7d8c70ce1bb3b32b00f8d09bdca2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4678
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON')
-rw-r--r-- | arm_compute/runtime/NEON/NEFunctions.h | 1 | ||||
-rw-r--r-- | arm_compute/runtime/NEON/functions/NEYOLOLayer.h | 64 |
2 files changed, 0 insertions, 65 deletions
diff --git a/arm_compute/runtime/NEON/NEFunctions.h b/arm_compute/runtime/NEON/NEFunctions.h index f35144481d..1df6f8f08e 100644 --- a/arm_compute/runtime/NEON/NEFunctions.h +++ b/arm_compute/runtime/NEON/NEFunctions.h @@ -149,6 +149,5 @@ #include "arm_compute/runtime/NEON/functions/NEWarpAffine.h" #include "arm_compute/runtime/NEON/functions/NEWarpPerspective.h" #include "arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h" -#include "arm_compute/runtime/NEON/functions/NEYOLOLayer.h" #endif /* ARM_COMPUTE_NEFUNCTIONS_H */ diff --git a/arm_compute/runtime/NEON/functions/NEYOLOLayer.h b/arm_compute/runtime/NEON/functions/NEYOLOLayer.h deleted file mode 100644 index 4c9a5bf6e4..0000000000 --- a/arm_compute/runtime/NEON/functions/NEYOLOLayer.h +++ /dev/null @@ -1,64 +0,0 @@ -/* - * Copyright (c) 2018-2020 Arm Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#ifndef ARM_COMPUTE_NEYOLOLAYER_H -#define ARM_COMPUTE_NEYOLOLAYER_H - -#include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h" - -#include "arm_compute/core/Types.h" - -namespace arm_compute -{ -class ITensor; -class ITensorInfo; - -/** Basic function to run @ref NEYOLOLayerKernel */ -class NEYOLOLayer : public INESimpleFunctionNoBorder -{ -public: - /** Set the input and output tensor. - * - * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place - * - * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result - * of the activation function. Data types supported: F16/F32. - * @param[out] output Destination tensor. Data type supported: same as @p input - * @param[in] act_info Activation layer parameters. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - */ - void configure(ITensor *input, ITensor *output, const ActivationLayerInfo &act_info, int32_t num_classes); - /** Static function to check if given info will lead to a valid configuration of @ref NEYOLOLayer - * - * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result - * of the activation function. Data types supported: F16/F32. - * @param[in] output Destination tensor info. Data type supported: same as @p input - * @param[in] act_info Activation layer information. - * @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels) - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes); -}; -} // namespace arm_compute -#endif /* ARM_COMPUTE_NEYOLOLAYER_H */ |