| /* |
| * 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. |
| */ |
| #include "src/core/CL/kernels/CLDepthConvertLayerKernel.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/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| #include <cstddef> |
| #include <set> |
| #include <string> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift) |
| { |
| ARM_COMPUTE_UNUSED(policy); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON(input == output); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, |
| 1, |
| DataType::U8, DataType::S8, DataType::QSYMM8_PER_CHANNEL, DataType::S16, |
| DataType::U16, DataType::U32, DataType::S32, DataType::F16, |
| DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, |
| 1, |
| DataType::U8, DataType::S8, DataType::QASYMM8, DataType::S16, |
| DataType::U16, DataType::U32, DataType::S32, DataType::F16, |
| DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == output->data_type(), "Input and output data types must be different"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_float(input->data_type()) && shift != 0, "Shift is used only with integer non-quantized inputs"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_quantized(input->data_type()) && shift != 0, "Shift is used only with integer non-quantized inputs"); |
| ARM_COMPUTE_RETURN_ERROR_ON(shift >= 8); |
| |
| // Validate in case of configured output |
| if(output->total_size() > 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, policy, shift); |
| } |
| |
| void CLDepthConvertLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| _input = input; |
| _output = output; |
| |
| // 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_THROW_ON(validate_arguments(input->info(), output->info(), policy, shift)); |
| |
| auto padding_info = get_padding_info({ 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()); |
| |
| // Get number of elements to process per iterations |
| const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->info()->element_size(), input->info()->dimension(0)); |
| |
| // Set build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); |
| build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(input->info()->dimension(0) % num_elems_processed_per_iteration)); |
| build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type())); |
| build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type())); |
| // Conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined |
| build_opts.add_option_if(is_data_type_float(input->info()->data_type()) || policy == ConvertPolicy::SATURATE, "-DSATURATE"); |
| build_opts.add_option_if(is_data_type_float(input->info()->data_type()) || is_data_type_float(output->info()->data_type()), "-DIS_DATA_TYPE_FLOAT"); |
| build_opts.add_option_if(is_data_type_quantized(input->info()->data_type()), "-DIS_DATA_TYPE_QUANTIZED"); |
| |
| // Create kernel |
| const std::string kernel_name = (input_size >= output_size) ? "convert_depth_down" : "convert_depth_up"; |
| _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); |
| |
| // Set shift arg |
| unsigned int idx = 2 * num_arguments_per_3D_tensor(); // Skip the input and output parameters |
| _kernel.setArg(idx++, shift); |
| |
| // Since we have a leftover vector size calculated using the input tensor shape, it is required to |
| // have the input region equal to the tensor shape |
| ValidRegion input_valid_region = input->info()->valid_region(); |
| input->info()->set_valid_region(ValidRegion(Coordinates(0, 0), input->info()->tensor_shape())); |
| |
| // Configure kernel |
| Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); |
| ICLKernel::configure_internal(win); |
| |
| // Collapse window |
| const Window &full_window = window(); |
| Window collapsed_window = full_window.collapse_if_possible(full_window, Window::DimZ); |
| ICLKernel::configure_internal(collapsed_window); |
| |
| // Restore the valid region |
| input->info()->set_valid_region(input_valid_region); |
| |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = kernel_name; |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_type(input->info()->data_type())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(1)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(output->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(output->info()->dimension(1)); |
| } |
| |
| Status CLDepthConvertLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, policy, shift)); |
| |
| return Status{}; |
| } |
| } // namespace arm_compute |