| /* |
| * Copyright (c) 2019-2020 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/CLBatchConcatenateLayerKernel.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/Helpers.h" |
| #include "arm_compute/core/Utils.h" |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/Cast.h" |
| |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, unsigned int batch_offset, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) != output->dimension(Window::DimY)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimZ) != output->dimension(Window::DimZ)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(3) + batch_offset > output->dimension(3)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(4, input, output); |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| CLBatchConcatenateLayerKernel::CLBatchConcatenateLayerKernel() |
| : _batch_offset(0) |
| { |
| } |
| |
| void CLBatchConcatenateLayerKernel::configure(const CLCompileContext &compile_context, ITensorInfo *input, unsigned int batch_offset, ITensorInfo *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, batch_offset, output)); |
| |
| _batch_offset = batch_offset; |
| |
| const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->element_size(), input->dimension(0)); |
| |
| // Add build options |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->data_type())); |
| 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->dimension(0) % num_elems_processed_per_iteration)); |
| if(is_data_type_quantized_asymmetric(input->data_type()) && input->quantization_info() != output->quantization_info()) |
| { |
| const UniformQuantizationInfo iq_info = input->quantization_info().uniform(); |
| const UniformQuantizationInfo oq_info = output->quantization_info().uniform(); |
| |
| build_opts.add_option("-DOFFSET_IN1=" + float_to_string_with_full_precision(iq_info.offset)); |
| build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(oq_info.offset)); |
| build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq_info.scale)); |
| build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale)); |
| } |
| |
| // Create kernel |
| _kernel = create_kernel(compile_context, "concatenate", build_opts.options()); |
| |
| // Configure kernel window |
| auto win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| win.set(3, Window::Dimension(0, input->tensor_shape()[3], 1)); |
| ICLKernel::configure_internal(win); |
| |
| // Set output valid region |
| output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape())); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "concatenate_"; |
| _config_id += support::cpp11::to_string(3); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(batch_offset); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->dimension(1)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->dimension(2)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->dimension(3)); |
| } |
| |
| Status CLBatchConcatenateLayerKernel::validate(const arm_compute::ITensorInfo *input, |
| unsigned int batch_offset, |
| const arm_compute::ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, batch_offset, output)); |
| return Status{}; |
| } |
| |
| void CLBatchConcatenateLayerKernel::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); |
| |
| const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); |
| |
| Window slice = window.first_slice_window_3D(); |
| |
| const int offset_to_first_elements_in_bytes = _batch_offset * dst->info()->strides_in_bytes()[3]; |
| |
| unsigned int idx = 2 * num_arguments_per_3D_tensor(); // Skip the input and output parameters |
| _kernel.setArg<cl_int>(idx, offset_to_first_elements_in_bytes); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, src, slice); |
| add_3D_tensor_argument(idx, dst, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(window.slide_window_slice_3D(slice)); |
| } |
| } // namespace arm_compute |