| /* |
| * Copyright (c) 2016, 2017 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/CLDepthConvertKernel.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/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| |
| #include <cstddef> |
| #include <set> |
| #include <string> |
| |
| using namespace arm_compute; |
| |
| void CLDepthConvertKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::U8, DataType::S16, DataType::QS16, |
| DataType::U16, DataType::U32, DataType::S32, DataType::F32); |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QS8, DataType::U8, DataType::S16, DataType::QS16, |
| DataType::U16, DataType::U32, DataType::S32, DataType::F32); |
| ARM_COMPUTE_ERROR_ON(input == output); |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == output->info()->data_type(), "Input and output data types must be different"); |
| ARM_COMPUTE_ERROR_ON(shift >= 8); |
| |
| // Check if convertion is supported |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::QS8 && output->info()->data_type() != DataType::F32, |
| "Only data types supported [in] QS8 -> [out] F32"); |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::QS16 && (output->info()->data_type() != DataType::F32), |
| "Only data types supported [in] QS16 -> [out] F32"); |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::F32 && ((output->info()->data_type() != DataType::QS8) && output->info()->data_type() != DataType::QS16), |
| "Only data types supported [in] F32 -> [out] QS8, QS16"); |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U8 && (output->info()->data_type() != DataType::U16 && output->info()->data_type() != DataType::S16 |
| && output->info()->data_type() != DataType::U32 && output->info()->data_type() != DataType::S32), |
| "Only data types supported [in] U8 -> [out] U16, S16, U32, S32"); |
| |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32 |
| && output->info()->data_type() != DataType::S32), |
| "Only data types supported [in] U16 -> [out] U8, U32, S32"); |
| |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32 |
| && output->info()->data_type() != DataType::S32), |
| "Only data types supported [in] S16 -> [out] U8, U32, S32"); |
| |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16 |
| && output->info()->data_type() != DataType::S16), |
| "Only data types supported [in] U32 -> [out] U8, U16, S16"); |
| |
| ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16 |
| && output->info()->data_type() != DataType::S16), |
| "Only data types supported [in] S32 -> [out] U8, U16, S16"); |
| |
| // Auto initialize output shape if not initialized (We can only auto-configure the shape, datatype must be given) |
| set_shape_if_empty(*output->info(), input->info()->tensor_shape()); |
| |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| |
| // Get data sizes |
| const size_t input_size = data_size_from_type(input->info()->data_type()); |
| const size_t output_size = data_size_from_type(output->info()->data_type()); |
| |
| // Construct kernel name and build options |
| std::string kernel_name = "convert_depth"; |
| std::set<std::string> build_opts; |
| if(input_size > output_size) |
| { |
| kernel_name += "_down"; |
| // Down conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined |
| build_opts.insert(((policy == ConvertPolicy::WRAP) && !is_data_type_float(input->info()->data_type())) ? "-DWRAP" : "-DSATURATE"); |
| } |
| else |
| { |
| kernel_name += "_up"; |
| } |
| build_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type())); |
| build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type())); |
| if(is_data_type_fixed_point(input->info()->data_type()) || is_data_type_fixed_point(output->info()->data_type())) |
| { |
| build_opts.emplace("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(input->info()->fixed_point_position())); |
| } |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts)); |
| |
| // Set shift arg |
| unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters |
| _kernel.setArg(idx++, shift); |
| |
| // Configure kernel |
| constexpr unsigned int num_elems_processed_per_iteration = 16; |
| ICLSimple2DKernel::configure(input, output, num_elems_processed_per_iteration); |
| } |