From 3b131ab38fa337af7818d78200b0e7bdf89c5e69 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Fri, 19 Feb 2021 18:16:44 +0000 Subject: Port OpenCL Scale to new API Partially resolves: COMPMID-4190 Change-Id: I680dd80fcbe4e7568511792c60a725b2646fa6ff Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5197 Comments-Addressed: Arm Jenkins Reviewed-by: TeresaARM Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins --- src/core/CL/CLKernels.h | 1 - src/core/CL/kernels/CLScaleKernel.cpp | 286 ------------------------------ src/core/CL/kernels/CLScaleKernel.h | 93 ---------- src/core/gpu/cl/kernels/ClScaleKernel.cpp | 271 ++++++++++++++++++++++++++++ src/core/gpu/cl/kernels/ClScaleKernel.h | 100 +++++++++++ src/runtime/CL/functions/CLScale.cpp | 45 +++-- src/runtime/CL/tuners/BifrostTuner.cpp | 11 +- src/runtime/gpu/cl/operators/ClScale.cpp | 69 +++++++ src/runtime/gpu/cl/operators/ClScale.h | 74 ++++++++ 9 files changed, 542 insertions(+), 408 deletions(-) delete mode 100644 src/core/CL/kernels/CLScaleKernel.cpp delete mode 100644 src/core/CL/kernels/CLScaleKernel.h create mode 100644 src/core/gpu/cl/kernels/ClScaleKernel.cpp create mode 100644 src/core/gpu/cl/kernels/ClScaleKernel.h create mode 100644 src/runtime/gpu/cl/operators/ClScale.cpp create mode 100644 src/runtime/gpu/cl/operators/ClScale.h (limited to 'src') diff --git a/src/core/CL/CLKernels.h b/src/core/CL/CLKernels.h index 14733899b3..22fc3e10c4 100644 --- a/src/core/CL/CLKernels.h +++ b/src/core/CL/CLKernels.h @@ -85,7 +85,6 @@ #include "src/core/CL/kernels/CLRemapKernel.h" #include "src/core/CL/kernels/CLReorgLayerKernel.h" #include "src/core/CL/kernels/CLReverseKernel.h" -#include "src/core/CL/kernels/CLScaleKernel.h" #include "src/core/CL/kernels/CLSelectKernel.h" #include "src/core/CL/kernels/CLSpaceToBatchLayerKernel.h" #include "src/core/CL/kernels/CLSpaceToDepthLayerKernel.h" diff --git a/src/core/CL/kernels/CLScaleKernel.cpp b/src/core/CL/kernels/CLScaleKernel.cpp deleted file mode 100644 index c2c78c8f6d..0000000000 --- a/src/core/CL/kernels/CLScaleKernel.cpp +++ /dev/null @@ -1,286 +0,0 @@ -/* - * Copyright (c) 2016-2021 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. - */ -#include "src/core/CL/kernels/CLScaleKernel.h" - -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/CL/OpenCL.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "src/core/AccessWindowStatic.h" -#include "src/core/CL/CLValidate.h" -#include "src/core/CL/ICLKernel.h" -#include "src/core/helpers/WindowHelpers.h" -#include "support/StringSupport.h" - -#include "src/core/utils/ScaleUtils.h" - -#include -#include - -namespace arm_compute -{ -namespace -{ -inline std::pair calculate_scale_factors(const ITensorInfo &input, const ITensorInfo &output, const ScaleKernelInfo &info) -{ - const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? input.data_layout() : info.data_layout; - const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); - - // Compute the ratio between source width/height and destination width/height - const unsigned int input_width = input.dimension(idx_width); - const unsigned int input_height = input.dimension(idx_height); - const unsigned int output_width = output.dimension(idx_width); - const unsigned int output_height = output.dimension(idx_height); - - float wr = arm_compute::scale_utils::calculate_resize_ratio(input_width, output_width, info.align_corners); - float hr = arm_compute::scale_utils::calculate_resize_ratio(input_height, output_height, info.align_corners); - - return std::make_pair(wr, hr); -} - -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ScaleKernelInfo &info) -{ - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::U8, DataType::S16, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); - ARM_COMPUTE_RETURN_ERROR_ON(output == input); - ARM_COMPUTE_RETURN_ERROR_ON(info.align_corners && !arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy)); - - float wr = 0.f; - float hr = 0.f; - std::tie(wr, hr) = calculate_scale_factors(*input, *output, info); - - ARM_COMPUTE_RETURN_ERROR_ON(info.interpolation_policy == InterpolationPolicy::AREA && (wr > 1.f || hr > 1.f)); - - return Status{}; -} - -std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const ScaleKernelInfo &info, BorderSize &border) -{ - Window win{}; - bool window_changed{}; - unsigned int num_elems_processed_per_iteration = 0; - const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? input->data_layout() : info.data_layout; - - switch(data_layout) - { - case DataLayout::NCHW: - { - if(info.border_mode == BorderMode::UNDEFINED) - { - border = BorderSize(0); - } - - num_elems_processed_per_iteration = 4; - // Configure kernel window - win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); - AccessWindowStatic input_access(input, - -border.left, -border.top, - input->dimension(0) + border.right, - input->dimension(1) + border.bottom); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - - output_access.set_valid_region(win, calculate_valid_region_scale(*(input), - output->tensor_shape(), - info.interpolation_policy, - info.sampling_policy, - info.border_mode == BorderMode::UNDEFINED)); - - window_changed = update_window_and_padding(win, input_access, output_access); - } - break; - case DataLayout::NHWC: - { - // Configure kernel window - win = calculate_max_window(*output, Steps()); - } - break; - default: - ARM_COMPUTE_ERROR("Data layout not supported"); - } - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -BorderSize CLScaleKernel::border_size() const -{ - return BorderSize(static_cast(_data_layout == DataLayout::NCHW)); -} - -Status CLScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ScaleKernelInfo &info) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info)); - const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? input->data_layout() : info.data_layout; - BorderSize border = BorderSize(static_cast(data_layout == DataLayout::NCHW)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), info, border).first); - - return Status{}; -} - -const ICLTensor *CLScaleKernel::input() const -{ - return _input; -} - -const ICLTensor *CLScaleKernel::output() const -{ - return _output; -} - -void CLScaleKernel::configure(const ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, info); -} - -void CLScaleKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info) -{ - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), info)); - auto padding_info = get_padding_info({ input, output }); - - _input = input; - _output = output; - _interpolation_policy = info.interpolation_policy; - _data_layout = info.data_layout == DataLayout::UNKNOWN ? input->info()->data_layout() : info.data_layout; - _align_corners = info.align_corners; - - float wr = 0.f; - float hr = 0.f; - std::tie(wr, hr) = calculate_scale_factors(*input->info(), *output->info(), info); - - const bool call_quantized_kernel = is_data_type_quantized_asymmetric(input->info()->data_type()) && _interpolation_policy == InterpolationPolicy::BILINEAR; - - const int idx_width = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT); - const bool is_nhwc = _data_layout == DataLayout::NHWC; - - // Compute actual border size - BorderSize border = border_size(); - - auto interpolation_policy_to_use = _interpolation_policy; - // Area interpolation behaves as Nearest Neighbour in case of up-sampling - if(_interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) - { - interpolation_policy_to_use = InterpolationPolicy::NEAREST_NEIGHBOR; - } - - // Configure kernel window - auto win_config = validate_and_configure_window(input->info(), output->info(), info, border); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - ICLKernel::configure_internal(win_config.second); - - // Create kernel - CLBuildOptions build_opts; - build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); - build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(info.constant_border_value, input->info()->data_type())); - build_opts.add_option("-DBORDER_SIZE=" + support::cpp11::to_string(border.right)); - build_opts.add_option_if(info.border_mode == BorderMode::REPLICATE, "-DBORDER_MODE_REPLICATE"); - build_opts.add_option_if(is_nhwc, "-DDEPTH_OUT=" + support::cpp11::to_string(output->info()->dimension(2))); - build_opts.add_option_if_else(info.sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT"); - build_opts.add_option_if(_align_corners, "-DALIGN_CORNERS"); - if(call_quantized_kernel) - { - const UniformQuantizationInfo qinfo = input->info()->quantization_info().uniform(); - build_opts.add_option("-DSCALE=" + support::cpp11::to_string(qinfo.scale)); - build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(qinfo.offset)); - } - std::string interpolation_name = string_from_interpolation_policy(interpolation_policy_to_use); - std::transform(interpolation_name.begin(), interpolation_name.end(), interpolation_name.begin(), ::tolower); - std::string kernel_name = "scale_" + interpolation_name; - kernel_name += call_quantized_kernel ? "_quantized_" : "_"; - kernel_name += lower_string(string_from_data_layout(_data_layout)); - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - - unsigned int idx = is_nhwc ? 2 * num_arguments_per_4D_tensor() : 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters - - const unsigned int input_width = input->info()->dimension(idx_width); - const unsigned int input_height = input->info()->dimension(idx_height); - - _kernel.setArg(idx++, input_width); - _kernel.setArg(idx++, input_height); - _kernel.setArg(idx++, wr); - _kernel.setArg(idx++, hr); - - // Set config_id for enabling LWS tuning - _config_id = "scale_"; - _config_id += (info.border_mode == BorderMode::REPLICATE ? "Bord_rep" : ""); - _config_id += (info.sampling_policy == SamplingPolicy::CENTER ? "center" : "topleft"); - _config_id += (is_nhwc ? "nhwc" : "nchw"); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(1)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(2)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(3)); - if(is_nhwc) - { - ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); - } -} - -void CLScaleKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - switch(_data_layout) - { - case DataLayout::NCHW: - { - Window slice = window.first_slice_window_2D(); - - do - { - unsigned int idx = 0; - add_2D_tensor_argument(idx, _input, slice); - add_2D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_2D(slice)); - break; - } - case DataLayout::NHWC: - { - Window collapsed = window.collapse(ICLKernel::window(), Window::DimZ); - Window slice = collapsed.first_slice_window_4D(); - - unsigned int idx = 0; - add_4D_tensor_argument(idx, _input, slice); - add_4D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, slice, lws_hint()); - break; - } - default: - ARM_COMPUTE_ERROR("Data layout not supported"); - } -} -} // namespace arm_compute diff --git a/src/core/CL/kernels/CLScaleKernel.h b/src/core/CL/kernels/CLScaleKernel.h deleted file mode 100644 index a72e3938d9..0000000000 --- a/src/core/CL/kernels/CLScaleKernel.h +++ /dev/null @@ -1,93 +0,0 @@ -/* - * Copyright (c) 2016-2020 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_CLSCALEKERNEL_H -#define ARM_COMPUTE_CLSCALEKERNEL_H - -#include "arm_compute/core/KernelDescriptors.h" -#include "src/core/CL/ICLSimple2DKernel.h" - -namespace arm_compute -{ -class ICLTensor; - -/** Interface for the scale kernel */ -class CLScaleKernel : public ICLSimple2DKernel -{ -public: - /** Initialise the kernel's inputs, output and interpolation policy - * - * @param[in] input Source tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32 - * @param[out] output Destination tensor. Data types supported: Same as @p input - * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. - * @param[in] info @ref ScaleKernelInfo Kernel descriptor to be used to configure. - */ - void configure(const ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info); - /** Initialise the kernel's inputs, output and interpolation policy - * - * @param[in] compile_context The compile context to be used. - * @param[in] input Source tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32 - * @param[out] output Destination tensor. Data types supported: Same as @p input - * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. - * @param[in] info @ref ScaleKernelInfo Kernel descriptor to be used to configure. - */ - void configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info); - - /** Static function to check if given info will lead to a valid configuration of @ref CLScaleKernel - * - * @param[in] input Source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32 - * @param[in] output Destination tensor info. Data types supported: Same as @p input - * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. - * @param[in] info @ref ScaleKernelInfo Kernel descriptor to be used to validate - * - * @return a status - */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ScaleKernelInfo &info); - /** Input tensor accessor. - * - * @return Pointer to input tensor. - */ - const ICLTensor *input() const; - /** Output tensor accessor. - * - * @return Pointer to output tensor. - */ - const ICLTensor *output() const; - - // Inherited methods overridden: - BorderSize border_size() const override; - void run(const Window &window, cl::CommandQueue &queue) override; - - // Getter for interpolation policy - InterpolationPolicy get_interpolation_policy() const - { - return _interpolation_policy; - } - -private: - InterpolationPolicy _interpolation_policy = InterpolationPolicy::BILINEAR; - DataLayout _data_layout = DataLayout::UNKNOWN; - bool _align_corners = false; -}; -} // namespace arm_compute -#endif /*ARM_COMPUTE_CLSCALEKERNEL_H */ diff --git a/src/core/gpu/cl/kernels/ClScaleKernel.cpp b/src/core/gpu/cl/kernels/ClScaleKernel.cpp new file mode 100644 index 0000000000..0882f29135 --- /dev/null +++ b/src/core/gpu/cl/kernels/ClScaleKernel.cpp @@ -0,0 +1,271 @@ +/* + * Copyright (c) 2016-2021 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. + */ +#include "src/core/gpu/cl/kernels/ClScaleKernel.h" + +#include "arm_compute/core/CL/ICLTensor.h" +#include "arm_compute/core/TensorInfo.h" +#include "src/core/AccessWindowStatic.h" +#include "src/core/CL/CLValidate.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/core/utils/ScaleUtils.h" +#include "support/Cast.h" + +namespace arm_compute +{ +namespace opencl +{ +namespace kernels +{ +namespace +{ +inline std::pair calculate_scale_factors(const ITensorInfo *src, const ITensorInfo *dst, DataLayout data_layout, bool align_corners) +{ + const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); + const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); + + // Compute the ratio between source width/height and destination width/height + const unsigned int src_width = src->dimension(idx_width); + const unsigned int src_height = src->dimension(idx_height); + const unsigned int dst_width = dst->dimension(idx_width); + const unsigned int dst_height = dst->dimension(idx_height); + + float wr = arm_compute::scale_utils::calculate_resize_ratio(src_width, dst_width, align_corners); + float hr = arm_compute::scale_utils::calculate_resize_ratio(src_height, dst_height, align_corners); + + return std::make_pair(wr, hr); +} + +Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::U8, DataType::S16, DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); + ARM_COMPUTE_RETURN_ERROR_ON(dst == src); + ARM_COMPUTE_RETURN_ERROR_ON(info.align_corners && !arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy)); + + float wr = 0.f; + float hr = 0.f; + const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout; + std::tie(wr, hr) = calculate_scale_factors(src, dst, data_layout, info.align_corners); + + ARM_COMPUTE_RETURN_ERROR_ON(info.interpolation_policy == InterpolationPolicy::AREA && (wr > 1.f || hr > 1.f)); + + return Status{}; +} + +std::pair validate_and_configure_window(ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info, BorderSize &border) +{ + Window win{}; + bool window_changed{}; + unsigned int num_elems_processed_per_iteration = 0; + const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout; + + switch(data_layout) + { + case DataLayout::NCHW: + { + if(info.border_mode == BorderMode::UNDEFINED) + { + border = BorderSize(0); + } + + num_elems_processed_per_iteration = 4; + // Configure kernel window + win = calculate_max_window(*dst, Steps(num_elems_processed_per_iteration)); + AccessWindowStatic input_access(src, + -border.left, -border.top, + src->dimension(0) + border.right, + src->dimension(1) + border.bottom); + AccessWindowHorizontal output_access(dst, 0, num_elems_processed_per_iteration); + + output_access.set_valid_region(win, calculate_valid_region_scale(*src, + dst->tensor_shape(), + info.interpolation_policy, + info.sampling_policy, + info.border_mode == BorderMode::UNDEFINED)); + + window_changed = update_window_and_padding(win, input_access, output_access); + } + break; + case DataLayout::NHWC: + { + // Configure kernel window + win = calculate_max_window(*dst, Steps()); + } + break; + default: + ARM_COMPUTE_ERROR("Data layout not supported"); + } + + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, win); +} +} // namespace + +BorderSize ClScaleKernel::border_size() const +{ + return BorderSize(static_cast(_data_layout == DataLayout::NCHW)); +} + +Status ClScaleKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, info)); + const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout; + BorderSize border = BorderSize(static_cast(data_layout == DataLayout::NCHW)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get(), info, border).first); + + return Status{}; +} + +void ClScaleKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info) +{ + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, info)); + auto padding_info = get_padding_info({ src, dst }); + + // Info required for the static tuning + _info = info; + _data_type = src->data_type(); + _data_layout = _info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : _info.data_layout; + + float wr = 0.f; + float hr = 0.f; + std::tie(wr, hr) = calculate_scale_factors(src, dst, _data_layout, _info.align_corners); + const bool call_quantized_kernel = is_data_type_quantized_asymmetric(src->data_type()) && _info.interpolation_policy == InterpolationPolicy::BILINEAR; + + // Compute actual border size + BorderSize border = border_size(); + const bool is_nhwc = _data_layout == DataLayout::NHWC; + + // Area interpolation behaves as Nearest Neighbour in case of up-sampling + auto interpolation_policy_to_use = _info.interpolation_policy; + if(_info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) + { + interpolation_policy_to_use = InterpolationPolicy::NEAREST_NEIGHBOR; + } + + // Configure kernel window + auto win_config = validate_and_configure_window(src, dst, _info, border); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + ICLKernel::configure_internal(win_config.second); + + // Create kernel + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); + build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(info.constant_border_value, src->data_type())); + build_opts.add_option("-DBORDER_SIZE=" + support::cpp11::to_string(border.right)); + build_opts.add_option_if(info.border_mode == BorderMode::REPLICATE, "-DBORDER_MODE_REPLICATE"); + build_opts.add_option_if(is_nhwc, "-DDEPTH_OUT=" + support::cpp11::to_string(dst->dimension(2))); + build_opts.add_option_if_else(_info.sampling_policy == SamplingPolicy::CENTER, "-DSAMPLING_POLICY_CENTER", "-DSAMPLING_POLICY_TOP_LEFT"); + build_opts.add_option_if(info.align_corners, "-DALIGN_CORNERS"); + if(call_quantized_kernel) + { + const UniformQuantizationInfo qinfo = src->quantization_info().uniform(); + build_opts.add_option("-DSCALE=" + support::cpp11::to_string(qinfo.scale)); + build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(qinfo.offset)); + } + std::string interpolation_name = string_from_interpolation_policy(interpolation_policy_to_use); + std::transform(interpolation_name.begin(), interpolation_name.end(), interpolation_name.begin(), ::tolower); + std::string kernel_name = "scale_" + interpolation_name; + kernel_name += call_quantized_kernel ? "_quantized_" : "_"; + kernel_name += lower_string(string_from_data_layout(_data_layout)); + + _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); + if(is_nhwc) + { + ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); + } + + const int idx_width = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH); + const int idx_height = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT); + unsigned int idx = is_nhwc ? 2 * num_arguments_per_4D_tensor() : 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters + const unsigned int src_width = src->dimension(idx_width); + const unsigned int dst_height = src->dimension(idx_height); + + _kernel.setArg(idx++, src_width); + _kernel.setArg(idx++, dst_height); + _kernel.setArg(idx++, wr); + _kernel.setArg(idx++, hr); + + // Set to enable static tuning + _output_x_dim = dst->dimension(0); + + // Set config_id for enabling LWS tuning + _config_id = "scale_"; + _config_id += (_info.border_mode == BorderMode::REPLICATE ? "Bord_rep" : ""); + _config_id += (_info.sampling_policy == SamplingPolicy::CENTER ? "center" : "topleft"); + _config_id += (is_nhwc ? "nhwc" : "nchw"); + _config_id += "_"; + _config_id += support::cpp11::to_string(dst->dimension(0)); + _config_id += "_"; + _config_id += support::cpp11::to_string(dst->dimension(1)); + _config_id += "_"; + _config_id += support::cpp11::to_string(dst->dimension(2)); + _config_id += "_"; + _config_id += support::cpp11::to_string(dst->dimension(3)); +} + +void ClScaleKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC)); + auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); + + switch(_data_layout) + { + case DataLayout::NCHW: + { + Window slice = window.first_slice_window_2D(); + + do + { + unsigned int idx = 0; + add_2D_tensor_argument(idx, src, slice); + add_2D_tensor_argument(idx, dst, slice); + enqueue(queue, *this, slice, lws_hint()); + } + while(window.slide_window_slice_2D(slice)); + break; + } + case DataLayout::NHWC: + { + Window collapsed = window.collapse(ICLKernel::window(), Window::DimZ); + Window slice = collapsed.first_slice_window_4D(); + + unsigned int idx = 0; + add_4D_tensor_argument(idx, src, slice); + add_4D_tensor_argument(idx, dst, slice); + enqueue(queue, *this, slice, lws_hint()); + break; + } + default: + ARM_COMPUTE_ERROR("Data layout not supported"); + } +} +} // namespace kernels +} // namespace opencl +} // namespace arm_compute diff --git a/src/core/gpu/cl/kernels/ClScaleKernel.h b/src/core/gpu/cl/kernels/ClScaleKernel.h new file mode 100644 index 0000000000..b6eea0620b --- /dev/null +++ b/src/core/gpu/cl/kernels/ClScaleKernel.h @@ -0,0 +1,100 @@ +/* + * Copyright (c) 2021 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_CL_SCALE_KERNEL_H +#define ARM_COMPUTE_CL_SCALE_KERNEL_H + +#include "arm_compute/core/KernelDescriptors.h" +#include "src/core/common/Macros.h" +#include "src/core/gpu/cl/ClCompileContext.h" +#include "src/core/gpu/cl/IClKernel.h" + +namespace arm_compute +{ +class ICLTensor; + +namespace opencl +{ +namespace kernels +{ +/** Interface for the scale kernel */ +class ClScaleKernel : public IClKernel +{ +public: + /** Default constructor */ + ClScaleKernel() = default; + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClScaleKernel); + + /** Initialise the kernel's inputs, output and interpolation policy + * + * @param[in] compile_context The compile context to be used. + * @param[in] src Source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32 + * @param[out] dst Destination tensor info. Data types supported: Same as @p src + * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] info @ref ScaleKernelInfo Kernel descriptor to be used to configure. + */ + void configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info); + + /** Static function to check if given info will lead to a valid configuration of @ref ClScaleKernel + * + * @param[in] src Source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32 + * @param[in] dst Destination tensor info. Data types supported: Same as @p src + * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] info @ref ScaleKernelInfo Kernel descriptor to be used to validate + * + * @return a status + */ + static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info); + + // Inherited methods overridden: + BorderSize border_size() const override; + void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override; + + // Getter for interpolation policy + InterpolationPolicy get_interpolation_policy() const + { + return _info.interpolation_policy; + } + + // Getter for data type + DataType get_data_type() const + { + return _data_type; + } + + // Getter for output x dimension + unsigned int get_output_x_dim() const + { + return _output_x_dim; + } + +private: + ScaleKernelInfo _info = ScaleKernelInfo(InterpolationPolicy::NEAREST_NEIGHBOR, BorderMode::UNDEFINED); + DataType _data_type = DataType::UNKNOWN; + DataLayout _data_layout = DataLayout::UNKNOWN; + unsigned int _output_x_dim = 0; +}; +} // namespace kernels +} // namespace opencl +} // namespace arm_compute +#endif /*ARM_COMPUTE_CLSCALEKERNEL_H */ diff --git a/src/runtime/CL/functions/CLScale.cpp b/src/runtime/CL/functions/CLScale.cpp index 9862d0a1b3..cbd93c1086 100644 --- a/src/runtime/CL/functions/CLScale.cpp +++ b/src/runtime/CL/functions/CLScale.cpp @@ -23,17 +23,26 @@ */ #include "arm_compute/runtime/CL/functions/CLScale.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/runtime/CL/CLScheduler.h" +#include "arm_compute/core/KernelDescriptors.h" +#include "src/core/CL/ICLKernel.h" +#include "src/runtime/gpu/cl/operators/ClScale.h" namespace arm_compute { +struct CLScale::Impl +{ + const ICLTensor *src{ nullptr }; + ICLTensor *dst{ nullptr }; + std::unique_ptr op{ nullptr }; +}; + CLScale::CLScale() - : _border_handler(std::make_unique()), _kernel() + : _impl(std::make_unique()) { } +CLScale::~CLScale() = default; void CLScale::configure(ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info) { @@ -42,33 +51,23 @@ void CLScale::configure(ICLTensor *input, ICLTensor *output, const ScaleKernelIn void CLScale::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ScaleKernelInfo &info) { - auto k = std::make_unique(); - k->set_target(CLScheduler::get().target()); - k->configure(compile_context, input, output, info); - _kernel = std::move(k); + _impl->src = input; + _impl->dst = output; - // Tune kernels - CLScheduler::get().tune_kernel_static(*_kernel); - - const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? input->info()->data_layout() : info.data_layout; - if(data_layout == DataLayout::NCHW && !_kernel->border_size().empty()) - { - _border_handler->configure(compile_context, input, _kernel->border_size(), info.border_mode, info.constant_border_value); - } + _impl->op = std::make_unique(); + _impl->op->configure(compile_context, input->info(), output->info(), info); } Status CLScale::validate(const ITensorInfo *input, const ITensorInfo *output, const ScaleKernelInfo &info) { - return CLScaleKernel::validate(input, output, info); + return opencl::ClScale::validate(input, output, info); } void CLScale::run() { - if(!_kernel->border_size().empty()) - { - CLScheduler::get().enqueue(*_border_handler, false); - } - CLScheduler::get().enqueue(*_kernel); + ITensorPack pack; + pack.add_tensor(TensorType::ACL_SRC, _impl->src); + pack.add_tensor(TensorType::ACL_DST, _impl->dst); + _impl->op->run(pack); } - } // namespace arm_compute diff --git a/src/runtime/CL/tuners/BifrostTuner.cpp b/src/runtime/CL/tuners/BifrostTuner.cpp index 7a06de6d1c..fe95829cca 100644 --- a/src/runtime/CL/tuners/BifrostTuner.cpp +++ b/src/runtime/CL/tuners/BifrostTuner.cpp @@ -28,6 +28,7 @@ #include "support/Cast.h" #include "src/core/gpu/cl/kernels/ClPoolingKernel.h" +#include "src/core/gpu/cl/kernels/ClScaleKernel.h" namespace arm_compute { @@ -234,18 +235,18 @@ void tune_pooling_kernel(opencl::kernels::ClPoolingKernel &k) k.set_lws_hint(lws_hint); } -void tune_scale_kernel(CLScaleKernel &k) +void tune_scale_kernel(opencl::kernels::ClScaleKernel &k) { cl::NDRange lws_hint = k.lws_hint(); const GPUTarget gpu_target = k.get_target(); - const DataType dt = k.input()->info()->data_type(); + const DataType dt = k.get_data_type(); const InterpolationPolicy interpolation = k.get_interpolation_policy(); // Configure the local work size for Bifrost, interpolation (bilinear) and datatype F32. // The value are obtained via exhaustive autotuning. if(gpu_target_is_in(gpu_target, GPUTarget::G71, GPUTarget::G72) && (dt == DataType::F32) && (interpolation == InterpolationPolicy::BILINEAR)) { - auto dim_0 = k.output()->info()->dimension(0); + const auto dim_0 = k.get_output_x_dim(); if(dim_0 == 480) { lws_hint = cl::NDRange(2, 1); @@ -285,9 +286,9 @@ void BifrostTuner::tune_kernel_static(ICLKernel &kernel) { tune_pooling_kernel(*utils::cast::polymorphic_downcast(&kernel)); } - else if(dynamic_cast(&kernel) != nullptr) + else if(dynamic_cast(&kernel) != nullptr) { - tune_scale_kernel(*utils::cast::polymorphic_downcast(&kernel)); + tune_scale_kernel(*utils::cast::polymorphic_downcast(&kernel)); } } diff --git a/src/runtime/gpu/cl/operators/ClScale.cpp b/src/runtime/gpu/cl/operators/ClScale.cpp new file mode 100644 index 0000000000..4730c8a16e --- /dev/null +++ b/src/runtime/gpu/cl/operators/ClScale.cpp @@ -0,0 +1,69 @@ +/* + * Copyright (c) 2021 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. + */ +#include "src/runtime/gpu/cl/operators/ClScale.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/runtime/CL/CLScheduler.h" +#include "src/core/CL/kernels/CLFillBorderKernel.h" +#include "src/core/gpu/cl/ClCompileContext.h" +#include "src/core/gpu/cl/kernels/ClScaleKernel.h" + +namespace arm_compute +{ +namespace opencl +{ +void ClScale::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(src); + // Configure Scale kernel + auto k = std::make_unique(); + k->set_target(CLScheduler::get().target()); + k->configure(compile_context, src, dst, info); + _kernel = std::move(k); + if(!_kernel->border_size().empty()) + { + auto b = std::make_unique(); + b->configure(compile_context, src, _kernel->border_size(), info.border_mode, info.constant_border_value); + _border_handler = std::move(b); + } + // Tune kernel + CLScheduler::get().tune_kernel_static(*_kernel); +} + +Status ClScale::validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info) +{ + return kernels::ClScaleKernel::validate(src, dst, info); +} + +void ClScale::run(ITensorPack &tensors) +{ + ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided"); + if(!_kernel->border_size().empty()) + { + CLScheduler::get().enqueue_op(*_border_handler.get(), tensors, false); + } + CLScheduler::get().enqueue_op(*_kernel.get(), tensors); +} +} // namespace opencl +} // namespace arm_compute \ No newline at end of file diff --git a/src/runtime/gpu/cl/operators/ClScale.h b/src/runtime/gpu/cl/operators/ClScale.h new file mode 100644 index 0000000000..6eccb59be8 --- /dev/null +++ b/src/runtime/gpu/cl/operators/ClScale.h @@ -0,0 +1,74 @@ +/* + * Copyright (c) 2021 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_CL_SCALE_H +#define ARM_COMPUTE_CL_SCALE_H + +#include "arm_compute/core/KernelDescriptors.h" +#include "src/core/gpu/cl/ClCompileContext.h" +#include "src/runtime/gpu/cl/IClOperator.h" + +namespace arm_compute +{ +namespace opencl +{ +/** Basic function to simulate a scale layer. This function calls the following OpenCL kernels: + * + * -# @ref CLFillBorderKernel (executed if padding size is different from zero) + * -# @ref kernels::ClScaleKernel + */ +class ClScale : public IClOperator +{ +public: + /** Constructor */ + ClScale() = default; + /** Initialize the function's source, destination, interpolation type and border_mode. + * + * @param[in] compile_context The compile context to be used. + * @param[in,out] src Source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32. (Written to only for @p border_mode != UNDEFINED) + * @param[out] dst Destination tensor info. Data types supported: Same as @p src + * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] info @ref ScaleKernelInfo descriptor to be used to configure + */ + void configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info); + + /** Static function to check if given info will lead to a valid configuration of @ref ClScale + * + * @param[in] src Source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/F32. + * @param[in] dst Output tensor info. Data type supported: Same as @p src + * All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane. + * @param[in] info @ref ScaleKernelInfo descriptor to be used to validate + * + * @return a status + */ + static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info); + + // Inherited method overridden + void run(ITensorPack &tensors) override; + +protected: + std::unique_ptr _border_handler{ nullptr }; +}; +} // namespace opencl +} // namespace arm_compute +#endif /*ARM_COMPUTE_CLSCALE_H */ -- cgit v1.2.1