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author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2020-07-14 15:05:31 +0100 |
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committer | Sheri Zhang <sheri.zhang@arm.com> | 2020-08-05 17:45:10 +0000 |
commit | 4d81d75de09bba2de17e849a3d46e3052d449ad8 (patch) | |
tree | d3bc5c3430e3d8cf70540be5e545914a54e93035 /src/core/CL/kernels | |
parent | 801bbcb2f9a16633d0071b55aaf93b89870248ee (diff) | |
download | ComputeLibrary-4d81d75de09bba2de17e849a3d46e3052d449ad8.tar.gz |
COMPMID-2450: Implement CLMaxUnpoolingLayer
- Add OpenCL kernel for Max unpooling layer
- Add tests for validating the result
Change-Id: If7ca79566a1198e3141f880abf46738980a62c81
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3606
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/kernels')
-rw-r--r-- | src/core/CL/kernels/CLMaxUnpoolingLayerKernel.cpp | 145 |
1 files changed, 145 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLMaxUnpoolingLayerKernel.cpp b/src/core/CL/kernels/CLMaxUnpoolingLayerKernel.cpp new file mode 100644 index 0000000000..08c74642f4 --- /dev/null +++ b/src/core/CL/kernels/CLMaxUnpoolingLayerKernel.cpp @@ -0,0 +1,145 @@ +/* + * Copyright (c) 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. + */ +#include "arm_compute/core/CL/kernels/CLMaxUnpoolingLayerKernel.h" + +#include "arm_compute/core/AccessWindowStatic.h" +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/CL/CLValidate.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 "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Window.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "support/StringSupport.h" + +namespace arm_compute +{ +using namespace misc::shape_calculator; + +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, indices); + 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::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, indices); + + int pool_stride_x = 0; + int pool_stride_y = 0; + PoolingType pool_type = pool_info.pool_type; + const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; + std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); + const int pool_size_x = pool_info.pool_size.width; + const int pool_size_y = pool_info.pool_size.height; + const Size2D pool_size(pool_size_x, pool_size_y); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(pool_type != PoolingType::MAX, "Pooling indices only supported for MAX pooling method"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG((pool_size != Size2D(2, 2)), "Pooling indices only supported for pool size 2x2"); + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); + } + + return Status{}; +} +} // namespace + +CLMaxUnpoolingLayerKernel::CLMaxUnpoolingLayerKernel() + : _input(nullptr), _output(nullptr), _indices(nullptr) +{ +} + +void CLMaxUnpoolingLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *indices, ICLTensor *output, const PoolingLayerInfo &pool_info) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), pool_info, indices->info())); + + _input = input; + _output = output; + _indices = indices; + + // Create build options + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(input->info()->element_size())); + build_opts.add_option("-DWIDTH_DST=" + support::cpp11::to_string(output->info()->dimension(0))); + build_opts.add_option("-DHEIGHT_DST=" + support::cpp11::to_string(output->info()->dimension(1))); + build_opts.add_option("-DDEPTH_DST=" + support::cpp11::to_string(output->info()->dimension(2))); + + const std::string kernel_name("max_unpooling_layer_2"); + + // Create kernel + _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); + + const TensorShape output_shape = compute_unpool_shape(*input->info(), pool_info); + auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); + + auto window = calculate_max_window(*input->info(), Steps()); + ICLKernel::configure_internal(window); + + // Set config_id for enabling LWS tuning + _config_id = kernel_name; + _config_id += lower_string(string_from_data_type(input->info()->data_type())); + _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)); +} + +Status CLMaxUnpoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, const PoolingLayerInfo &pool_info) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, indices, output); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, pool_info, indices)); + return Status{}; +} + +void CLMaxUnpoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); + + Window slice = window.first_slice_window_3D(); + + do + { + unsigned int idx = 0; + add_3D_tensor_argument(idx, _input, slice); + add_3D_tensor_argument(idx, _output, slice); + add_3D_tensor_argument(idx, _indices, slice); + enqueue(queue, *this, slice, lws_hint()); + } + while(window.slide_window_slice_3D(slice)); +} +} // namespace arm_compute |