diff options
Diffstat (limited to 'libs/ARMComputeEx/src/core/CL/kernels/CLDepthToSpaceKernel.cpp')
-rw-r--r-- | libs/ARMComputeEx/src/core/CL/kernels/CLDepthToSpaceKernel.cpp | 109 |
1 files changed, 109 insertions, 0 deletions
diff --git a/libs/ARMComputeEx/src/core/CL/kernels/CLDepthToSpaceKernel.cpp b/libs/ARMComputeEx/src/core/CL/kernels/CLDepthToSpaceKernel.cpp new file mode 100644 index 000000000..c386e3312 --- /dev/null +++ b/libs/ARMComputeEx/src/core/CL/kernels/CLDepthToSpaceKernel.cpp @@ -0,0 +1,109 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved + * Copyright (c) 2016-2018 ARM Limited. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +#include "arm_compute/core/CL/kernels/CLDepthToSpaceKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibraryEx.h" +#include "arm_compute/core/CL/ICLTensor.h" + +using namespace arm_compute; + +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, + const int32_t block_size) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::QASYMM8, + DataType::S16, DataType::S32, DataType::F16, + DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QASYMM8, + DataType::S16, DataType::S32, DataType::F16, + DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(block_size >= 1, + "Block size should be greater than or equal to 1."); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(0) == input->dimension(0) * block_size, + "Output width should be equal to (Input width * block size)"); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(1) == input->dimension(1) * block_size, + "Output height should be equal to (Input height * block size)"); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->dimension(2) % (block_size * block_size) == 0, + "Input depth should be divisible by (block size * block size)"); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + output->dimension(2) == input->dimension(2) / (block_size * block_size), + "Output depth should be equal to (Input depth / (block size * block size))"); + + return Status{}; +} +} // namespace + +CLDepthToSpaceKernel::CLDepthToSpaceKernel() : _input(nullptr), _output(nullptr) +{ + // DO NOTHING +} + +void CLDepthToSpaceKernel::configure(const ICLTensor *input, ICLTensor *output, + const int32_t block_size) +{ + + _input = input; + _output = output; + + // Set kernel build options + std::set<std::string> build_opts; + build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); + build_opts.emplace("-DBLOCK_SIZE=" + support::cpp11::to_string(block_size)); + build_opts.emplace("-DDEPTH_OUT=" + support::cpp11::to_string(output->info()->dimension(2))); + + // Create kernel + _kernel = + static_cast<cl::Kernel>(CLKernelLibraryEx::get().create_kernel("depth_to_space", build_opts)); + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps()); + + Coordinates coord; + coord.set_num_dimensions(output->info()->num_dimensions()); + output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape())); + + ICLKernel::configure_internal(win); +} + +void CLDepthToSpaceKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); + + Window slice_out = window.first_slice_window_4D().collapse(ICLKernel::window(), 2, 4); + + // Setup input slice + Window slice_in(slice_out); + slice_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + slice_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + slice_in.set(3, Window::Dimension(0, 0, 0)); + + do + { + unsigned int idx = 0; + add_4D_tensor_argument(idx, _input, slice_in); + add_4D_tensor_argument(idx, _output, slice_out); + enqueue(queue, *this, slice_out); + } while (window.slide_window_slice_4D(slice_in) && window.slide_window_slice_4D(slice_out)); +} |