From ee7c15d8a57b6e1a0a98edf2bb4693024d9c15dd Mon Sep 17 00:00:00 2001 From: Isabella Gottardi Date: Mon, 17 Dec 2018 16:15:34 +0000 Subject: COMPMID-1761: NEON: Implement Pack Change-Id: Icc3392494b1e3361e8fd925da200827c494351b3 Reviewed-on: https://review.mlplatform.org/430 Reviewed-by: Manuel Bottini Tested-by: Arm Jenkins Reviewed-by: Giuseppe Rossini Reviewed-by: Gian Marco Iodice --- src/core/CL/kernels/CLStackLayerKernel.cpp | 16 +-- src/core/NEON/kernels/NEStackLayerKernel.cpp | 166 +++++++++++++++++++++++++++ 2 files changed, 169 insertions(+), 13 deletions(-) create mode 100644 src/core/NEON/kernels/NEStackLayerKernel.cpp (limited to 'src/core') diff --git a/src/core/CL/kernels/CLStackLayerKernel.cpp b/src/core/CL/kernels/CLStackLayerKernel.cpp index bac8992f7b..ac179ba5f6 100644 --- a/src/core/CL/kernels/CLStackLayerKernel.cpp +++ b/src/core/CL/kernels/CLStackLayerKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -69,19 +69,9 @@ std::pair validate_and_configure_window(ITensorInfo *input, unsi auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_stack_shape(*input, axis, num_tensors))); // Configure kernel window - constexpr unsigned int num_elems_processed_per_iteration = 1; + Window win = calculate_max_window(*input); - // The window needs to be based on input as we copy all the depths of input - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - - AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - - bool window_changed = update_window_and_padding(win, input_access, output_access); - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); + return std::make_pair(Status{}, win); } } // namespace diff --git a/src/core/NEON/kernels/NEStackLayerKernel.cpp b/src/core/NEON/kernels/NEStackLayerKernel.cpp new file mode 100644 index 0000000000..cc60609f9b --- /dev/null +++ b/src/core/NEON/kernels/NEStackLayerKernel.cpp @@ -0,0 +1,166 @@ +/* + * Copyright (c) 2018-2019 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/NEStackLayerKernel.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.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 "arm_compute/core/utils/misc/ShapeCalculator.h" + +#include "support/ToolchainSupport.h" + +using namespace arm_compute; +using namespace arm_compute::misc::shape_calculator; + +namespace +{ +Status validate_arguments(const ITensorInfo *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::U8, DataType::S8, + DataType::U16, DataType::S16, DataType::U32, DataType::S32, + DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON(idx_input >= num_tensors); + ARM_COMPUTE_RETURN_ERROR_ON(axis > input->num_dimensions()); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), compute_stack_shape(*input, axis, num_tensors)); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} + +std::pair validate_and_configure_window(ITensorInfo *input, unsigned int axis, unsigned int num_tensors, ITensorInfo *output) +{ + // Output auto inizialitation if not yet initialized + auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_stack_shape(*input, axis, num_tensors))); + + // Configure kernel window + Window win = calculate_max_window(*input); + + return std::make_pair(Status{}, win); +} + +inline Coordinates shift_from_axis_and_replace_coordinate(const Coordinates &id, unsigned int axis, unsigned int idx_input) +{ + constexpr int max_out_coord = 5; // Input shape is max a 4D shape, output is max 5D + Coordinates id_out = id; + for(unsigned int i = max_out_coord - 1; i > axis; --i) + { + id_out.set(i, id[i - 1]); + } + id_out.set(axis, idx_input); + return id_out; +} +} // namespace + +NEStackLayerKernel::NEStackLayerKernel() + : _input(nullptr), _output(nullptr), _axis(), _idx_input(), _func(nullptr) +{ +} + +void NEStackLayerKernel::configure(const ITensor *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), axis, idx_input, num_tensors, output->info())); + + _input = input; + _output = output; + _axis = axis; + _idx_input = idx_input; + + switch(input->info()->element_size()) + { + case 1: + _func = &NEStackLayerKernel::run_stack; + break; + case 2: + _func = &NEStackLayerKernel::run_stack; + break; + case 4: + _func = &NEStackLayerKernel::run_stack; + break; + default: + ARM_COMPUTE_ERROR("Element size not supported"); + break; + } + + // Configure kernel window + auto win_config = validate_and_configure_window(input->info(), axis, num_tensors, output->info()); + + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + INEKernel::configure(win_config.second); +} + +Status NEStackLayerKernel::validate(const ITensorInfo *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, axis, idx_input, num_tensors, output)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), axis, num_tensors, output->clone().get()).first); + return Status{}; +} + +void NEStackLayerKernel::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); + + if(_func != nullptr) + { + (this->*_func)(window); + } +} + +template +void NEStackLayerKernel::run_stack(const Window &window) +{ + Window window_out; + window_out.use_tensor_dimensions(_output->info()->tensor_shape()); + + Iterator input(_input, window); + Iterator output(_output, window_out); + + const int stride_x = _output->info()->strides_in_bytes()[0]; + const int stride_y = _output->info()->num_dimensions() >= 1 ? _output->info()->strides_in_bytes()[1] : 0; + const int stride_z = _output->info()->num_dimensions() >= 2 ? _output->info()->strides_in_bytes()[2] : 0; + const int stride_w = _output->info()->num_dimensions() >= 3 ? _output->info()->strides_in_bytes()[3] : 0; + const int stride_k = _output->info()->num_dimensions() >= 4 ? _output->info()->strides_in_bytes()[4] : 0; + + execute_window_loop(window, [&](const Coordinates & id) + { + Coordinates id_out = shift_from_axis_and_replace_coordinate(id, _axis, _idx_input); + const int idx = id_out[0] * stride_x + id_out[1] * stride_y + id_out[2] * stride_z + id_out[3] * stride_w + id_out[4] * stride_k; + *(reinterpret_cast(output.ptr() + idx)) = *(reinterpret_cast(input.ptr())); + }, + input); +} -- cgit v1.2.1