| /* |
| * 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 "src/core/NEON/kernels/NEHeightConcatenateLayerKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/IAccessWindow.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "src/core/NEON/NEAsymm.h" |
| #include "src/core/NEON/wrapper/wrapper.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include <cstdint> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, unsigned int height_offset, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions. |
| 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) + height_offset > output->dimension(Window::DimY)); |
| for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i)); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEHeightConcatenateLayerKernel::NEHeightConcatenateLayerKernel() |
| : _height_offset(0) |
| { |
| } |
| |
| void NEHeightConcatenateLayerKernel::configure(const ITensorInfo *input, unsigned int height_offset, ITensorInfo *output) |
| { |
| ARM_COMPUTE_UNUSED(input); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input, height_offset, output)); |
| |
| _height_offset = height_offset; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output, Steps()); |
| Coordinates coord; |
| coord.set_num_dimensions(output->num_dimensions()); |
| output->set_valid_region(ValidRegion(coord, output->tensor_shape())); |
| INEKernel::configure(win); |
| } |
| |
| Status NEHeightConcatenateLayerKernel::validate(const ITensorInfo *input, unsigned int height_offset, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, height_offset, output)); |
| return Status{}; |
| } |
| |
| void NEHeightConcatenateLayerKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| const auto src = tensors.get_const_tensor(TensorType::ACL_SRC); |
| auto dst = tensors.get_tensor(TensorType::ACL_DST); |
| |
| // Offset output pointer to the correct position |
| uint8_t *output_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + _height_offset * dst->info()->strides_in_bytes()[Window::DimY]; |
| |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()) * static_cast<int>(dst->info()->element_size()); |
| const int window_step_x = 16; |
| |
| Window win{ window }; |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| win.set(Window::DimY, Window::Dimension(0, src->info()->tensor_shape().y(), 1)); |
| |
| // Create iterators |
| Iterator input(src, win); |
| Iterator output(dst, win); |
| |
| const DataType dt = src->info()->data_type(); |
| const UniformQuantizationInfo &input_qinfo = src->info()->quantization_info().uniform(); |
| const UniformQuantizationInfo &output_qinfo = dst->info()->quantization_info().uniform(); |
| if(dt == DataType::QASYMM8 && input_qinfo != output_qinfo) |
| { |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| int x = window_start_x; |
| for(; x <= (window_end_x - window_step_x); x += window_step_x) |
| { |
| vst1q_u8(output_ptr + output.offset() + x, vquantize(vdequantize(vld1q_u8(input.ptr() + x), input_qinfo), output_qinfo)); |
| } |
| |
| // Compute left-over elements |
| for(; x < window_end_x; ++x) |
| { |
| *(output_ptr + output.offset() + x) = quantize_qasymm8(dequantize_qasymm8(*(input.ptr() + x), input_qinfo), output_qinfo); |
| } |
| |
| }, |
| input, output); |
| } |
| else if(dt == DataType::QASYMM8_SIGNED && input_qinfo != output_qinfo) |
| { |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| int x = window_start_x; |
| for(; x <= (window_end_x - window_step_x); x += window_step_x) |
| { |
| vst1q_s8(reinterpret_cast<int8_t *>(output_ptr + output.offset() + x), |
| vquantize_signed(vdequantize(vld1q_s8(reinterpret_cast<int8_t *>(input.ptr()) + x), input_qinfo), output_qinfo)); |
| } |
| |
| // Compute left-over elements |
| for(; x < window_end_x; ++x) |
| { |
| *(output_ptr + output.offset() + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(input.ptr() + x), input_qinfo), output_qinfo); |
| } |
| }, |
| input, output); |
| } |
| else |
| { |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| const auto in_ptr = input.ptr(); |
| const auto out_ptr = output_ptr + output.offset(); |
| |
| int x = window_start_x; |
| for(; x <= (window_end_x - window_step_x); x += window_step_x) |
| { |
| wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x)); |
| } |
| |
| // Compute left-over elements |
| for(; x < window_end_x; ++x) |
| { |
| *(out_ptr + x) = *(in_ptr + x); |
| } |
| }, |
| input, output); |
| } |
| } |
| } // namespace arm_compute |