| /* |
| * Copyright (c) 2018-2020 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/NEON/kernels/NEUpsampleLayerKernel.h" |
| |
| #include "arm_compute/core/CPP/Validate.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/core/NEON/wrapper/wrapper.h" |
| |
| #include <arm_neon.h> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| template <typename T, int S> |
| inline T get_data_out(T data, int offset) |
| { |
| T out{ 0 }; |
| for(int i = 0; i < S / 2; ++i) |
| { |
| out[2 * i] = wrapper::vgetlane(data, i + offset); |
| out[2 * i + 1] = wrapper::vgetlane(data, i + offset); |
| } |
| return out; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, int num_elems_processed_per_iteration_x, const Size2D &info) |
| { |
| std::pair<Status, Window> win_config; |
| switch(input->data_layout()) |
| { |
| case DataLayout::NCHW: |
| { |
| const int num_elems_processed_per_iteration_x_out = num_elems_processed_per_iteration_x * info.x(); |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x_out)); |
| AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, 1, 0.5f, 0.5f); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x_out); |
| bool window_changed = update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, output->valid_region()); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| win_config = std::make_pair(err, win); |
| break; |
| } |
| case DataLayout::NHWC: |
| { |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x)); |
| AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration_x); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration_x); |
| bool window_changed = update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, output->valid_region()); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| win_config = std::make_pair(err, win); |
| break; |
| } |
| default: |
| { |
| win_config = std::make_pair(ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Unsupported data layout!"), Window{}); |
| } |
| } |
| |
| return win_config; |
| } |
| } // namespace |
| NEUpsampleLayerKernel::NEUpsampleLayerKernel() |
| : _func(nullptr), _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_x() |
| { |
| } |
| |
| Status NEUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy policy) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_UNUSED(policy); |
| |
| const DataLayout data_layout = input->data_layout(); |
| const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8_SIGNED, DataType::QASYMM8, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported"); |
| |
| // Check output if configured |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width)); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| } |
| |
| const int num_elems_processed_per_iteration_x = 16 / input->element_size(); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), |
| output->clone().get(), num_elems_processed_per_iteration_x, info) |
| .first); |
| return Status{}; |
| } |
| |
| template <typename T, int S> |
| void NEUpsampleLayerKernel::upsample_nchw(const arm_compute::Window &window) |
| { |
| using VectorType = typename wrapper::traits::neon_vector<T, S>::type; |
| |
| Window window_in(window); |
| window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_x)); |
| |
| Window window_out(window); |
| window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y())); |
| |
| Iterator input(_input, window_in); |
| Iterator output(_output, window_out); |
| const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(T); |
| |
| execute_window_loop(window_out, [&](const Coordinates &) |
| { |
| const VectorType data = wrapper::vloadq(reinterpret_cast<const T *>(input.ptr())); |
| const VectorType data_out1 = get_data_out<VectorType, S>(data, 0); |
| const VectorType data_out2 = get_data_out<VectorType, S>(data, S / 2); |
| auto out = reinterpret_cast<T *>(output.ptr()); |
| |
| wrapper::vstore(out, data_out1); |
| wrapper::vstore(out + S, data_out2); |
| wrapper::vstore(out + offset_y_out, data_out1); |
| wrapper::vstore(out + offset_y_out + S, data_out2); |
| }, |
| input, output); |
| } |
| |
| template <typename T, int S> |
| void NEUpsampleLayerKernel::upsample_nhwc(const arm_compute::Window &window) |
| { |
| using VectorType = typename wrapper::traits::neon_vector<T, S>::type; |
| |
| Window window_out(window); |
| window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x())); |
| window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y())); |
| |
| Iterator input(_input, window); |
| Iterator output(_output, window_out); |
| |
| const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(T); |
| const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(T); |
| execute_window_loop(window_out, [&](const Coordinates &) |
| { |
| const VectorType data = wrapper::vloadq(reinterpret_cast<const T *>(input.ptr())); |
| auto out = reinterpret_cast<T *>(output.ptr()); |
| |
| wrapper::vstore(out, data); |
| wrapper::vstore(out + offset_y_out, data); |
| wrapper::vstore(out + offset_z_out, data); |
| wrapper::vstore(out + offset_y_out + offset_z_out, data); |
| }, |
| input, output); |
| } |
| |
| void NEUpsampleLayerKernel::configure(const ITensor *input, ITensor *output, const Size2D &info, const InterpolationPolicy policy) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_UNUSED(policy); |
| |
| _input = input; |
| _output = output; |
| _info = info; |
| |
| const DataLayout data_layout = input->info()->data_layout(); |
| |
| TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info); |
| auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); |
| output->info()->set_data_layout(data_layout); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy)); |
| |
| _num_elems_processed_per_iteration_x = 16 / output->info()->element_size(); |
| |
| switch(data_layout) |
| { |
| case DataLayout::NCHW: |
| { |
| switch(input->info()->data_type()) |
| { |
| case DataType::QASYMM8_SIGNED: |
| _func = &NEUpsampleLayerKernel::upsample_nchw<int8_t, 16>; |
| break; |
| case DataType::QASYMM8: |
| _func = &NEUpsampleLayerKernel::upsample_nchw<uint8_t, 16>; |
| break; |
| case DataType::F32: |
| _func = &NEUpsampleLayerKernel::upsample_nchw<float, 4>; |
| break; |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| _func = &NEUpsampleLayerKernel::upsample_nchw<float16_t, 8>; |
| ; |
| break; |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| default: |
| ARM_COMPUTE_ERROR("Not implemented"); |
| } |
| break; |
| } |
| case DataLayout::NHWC: |
| { |
| switch(input->info()->data_type()) |
| { |
| case DataType::QASYMM8_SIGNED: |
| _func = &NEUpsampleLayerKernel::upsample_nhwc<int8_t, 16>; |
| break; |
| case DataType::QASYMM8: |
| _func = &NEUpsampleLayerKernel::upsample_nhwc<uint8_t, 16>; |
| break; |
| case DataType::F32: |
| _func = &NEUpsampleLayerKernel::upsample_nhwc<float, 4>; |
| break; |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| _func = &NEUpsampleLayerKernel::upsample_nhwc<float16_t, 8>; |
| break; |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| default: |
| ARM_COMPUTE_ERROR("Not implemented"); |
| } |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Not implemented"); |
| } |
| |
| // Configure window |
| std::pair<Status, Window> win_config = validate_and_configure_window(input->info(), |
| output->info(), |
| _num_elems_processed_per_iteration_x, |
| info); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| INEKernel::configure(win_config.second); |
| } |
| |
| void NEUpsampleLayerKernel::run(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); |
| ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| |
| (this->*_func)(window); |
| } |
| } // namespace arm_compute |