diff options
Diffstat (limited to 'arm_compute/runtime')
3 files changed, 95 insertions, 7 deletions
diff --git a/arm_compute/runtime/CL/CLFunctions.h b/arm_compute/runtime/CL/CLFunctions.h index d2bfdfd7cb..02a4dab6f1 100644 --- a/arm_compute/runtime/CL/CLFunctions.h +++ b/arm_compute/runtime/CL/CLFunctions.h @@ -93,6 +93,7 @@ #include "arm_compute/runtime/CL/functions/CLNonLinearFilter.h" #include "arm_compute/runtime/CL/functions/CLNonMaximaSuppression3x3.h" #include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h" +#include "arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h" #include "arm_compute/runtime/CL/functions/CLOpticalFlow.h" #include "arm_compute/runtime/CL/functions/CLPermute.h" #include "arm_compute/runtime/CL/functions/CLPhase.h" diff --git a/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h new file mode 100644 index 0000000000..85f7d93ddf --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLNormalizePlanarYUVLayer.h @@ -0,0 +1,75 @@ +/* + * Copyright (c) 2018 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_CLNORMALIZEPLANARYUVLAYER_H__ +#define __ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H__ + +#include "arm_compute/runtime/IFunction.h" + +#include "arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h" +#include "arm_compute/core/Types.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Basic function to run @ref CLNormalizePlanarYUVLayerKernel + * + * @note The function simulates a NormalizePlanarYUV layer. + */ +class CLNormalizePlanarYUVLayer : public IFunction +{ +public: + /** Default constructor */ + CLNormalizePlanarYUVLayer(); + /** Set the input and output tensors. + * + * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. + * Data types supported: F16/F32. + * @param[out] output Destinationfeature tensor. Data type supported: same as @p input + * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input + * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels. + * Data types supported: Same as @p input + */ + void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std); + /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer + * + * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, FM]. + * Data types supported: F16/F32. + * @param[out] output Destination tensor info. Data type supported: same as @p input + * @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: Same as @p input + * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels. + * Data types supported: Same as @p input + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std); + + // Inherited methods overridden: + void run() override; + +private: + CLNormalizePlanarYUVLayerKernel _norm_kernel; /**< NormalizePlanarYUV layer kernel to run */ +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYER_H__ */ diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h index 2862eeb9cd..d6cf4d0803 100644 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h +++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -44,14 +44,26 @@ public: GCNormalizePlanarYUVLayer(); /** Set the input and output tensors. * - * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM]. + * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels]. * Data types supported: F16. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input - * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input - * @param[in] sd Standard deviation values tensor. 1 dimension with size equal to the feature maps [FM]. - * Data types supported: Same as @p input + * @param[out] output Destination tensor. Data type supported: same as @p input + * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input + * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels. + * Data types supported: same as @p input */ - void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *sd); + void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *std); + /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer + * + * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels]. + * Data types supported: F16/F32. + * @param[out] output Destination tensor info. Data type supported: same as @p input + * @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input + * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels. + * Data types supported: same as @p input + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std); // Inherited methods overridden: void run() override; |