From fc1da1391679c51209c611e95d60569ce4da15cb Mon Sep 17 00:00:00 2001 From: giuros01 Date: Mon, 18 Feb 2019 16:48:35 +0000 Subject: COMPMID-1946: Implement NEBatchToSpace Change-Id: I119645eb3ea437c7dfe59545da58b328a7184f3f Signed-off-by: giuros01 Reviewed-on: https://review.mlplatform.org/c/734 Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas --- .../NEON/kernels/NEBatchToSpaceLayerKernel.cpp | 212 +++++++++++++++++++++ 1 file changed, 212 insertions(+) create mode 100644 src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp (limited to 'src/core') diff --git a/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp b/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp new file mode 100644 index 0000000000..8c24d9fad8 --- /dev/null +++ b/src/core/NEON/kernels/NEBatchToSpaceLayerKernel.cpp @@ -0,0 +1,212 @@ +/* + * Copyright (c) 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/NEBatchToSpaceLayerKernel.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/wrapper/wrapper.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include +#include + +using namespace arm_compute::misc::shape_calculator; + +namespace arm_compute +{ +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *block_info, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_info, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(block_info, 1, DataType::S32); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + + // Validate output if initialized + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} +Status validate_arguments_static(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4); + ARM_COMPUTE_RETURN_ERROR_ON(block_shape_x <= 0); + ARM_COMPUTE_RETURN_ERROR_ON(block_shape_y <= 0); + + const DataLayout data_layout = input->data_layout(); + const int idx_batch = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES); + ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_batch] % (block_shape_x * block_shape_y) != 0); + + // Validate output if initialized + if(output->total_size() != 0) + { + 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); + const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); + ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] != (block_shape_x * input->tensor_shape()[idx_width])); + ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_height] != (block_shape_x * input->tensor_shape()[idx_height])); + ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_channel] != input->tensor_shape()[idx_channel]); + ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + } + + return Status{}; +} +} // namespace + +NEBatchToSpaceLayerKernel::NEBatchToSpaceLayerKernel() + : _input(nullptr), _block_shape(nullptr), _output(nullptr), _block_shape_x(), _block_shape_y() +{ +} + +void NEBatchToSpaceLayerKernel::configure(const ITensor *input, const ITensor *block_shape, ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), output->info())); + + _input = input; + _block_shape = block_shape; + _output = output; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + ICPPKernel::configure(win); +} + +void NEBatchToSpaceLayerKernel::configure(const ITensor *input, const int32_t block_shape_x, const int32_t block_shape_y, ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + TensorShape output_shape = compute_batch_to_space_shape(input->info(), block_shape_x, block_shape_y); + // Output auto inizialitation if not yet initialized + auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); + + // Perform validation step + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_static(input->info(), block_shape_x, block_shape_y, output->info())); + + _input = input; + _output = output; + _block_shape_x = block_shape_x; + _block_shape_y = block_shape_y; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + ICPPKernel::configure(win); +} + +Status NEBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_shape, output); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, output)); + return Status{}; +} + +Status NEBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const int32_t block_shape_x, const int32_t block_shape_y, const ITensorInfo *output) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, output)); + return Status{}; +} + +void NEBatchToSpaceLayerKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window); + + if(_block_shape != nullptr) + { + // Retrieve the block shapes dynamically + _block_shape_x = *(reinterpret_cast(_block_shape->ptr_to_element(0))); + _block_shape_y = *(reinterpret_cast(_block_shape->ptr_to_element(1))); + } + + const int batch_size = _input->info()->dimension(3); + const int r = (batch_size / (_block_shape_x * _block_shape_y)); + const int element_size = _input->info()->element_size(); + + Window slice_in = window.first_slice_window_3D(); + Window slice_out = window.first_slice_window_4D(); + + // The slice_out slice does not move + slice_out.set(Window::DimX, Window::Dimension(0, 0, 0)); + slice_out.set(Window::DimY, Window::Dimension(0, 0, 0)); + slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); + slice_out.set(3, Window::Dimension(0, 0, 0)); + + int batch_id = 0; + // Main loop for NCHW and NHWC + if(_input->info()->data_layout() == DataLayout::NCHW) + { + do + { + Iterator in(_input, slice_in); + execute_window_loop(slice_in, [&](const Coordinates & id) + { + + const int x = id.x(); + const int y = id.y(); + const int z = id.z(); + + const int w = batch_id % r; + const int out_x = x * _block_shape_x + (batch_id / r) % _block_shape_x; + const int out_y = y * _block_shape_y + (batch_id / r) / _block_shape_x; + Coordinates output_coords{ out_x, out_y, z, w }; + memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size); + }, + in); + ++batch_id; + } + while(window.slide_window_slice_3D(slice_in)); + } + else + { + do + { + Iterator in(_input, slice_in); + execute_window_loop(slice_in, [&](const Coordinates & id) + { + + const int z = id.x(); + const int x = id.y(); + const int y = id.z(); + + const int w = batch_id % r; + const int out_x = x * _block_shape_x + (batch_id / r) % _block_shape_x; + const int out_y = y * _block_shape_y + (batch_id / r) / _block_shape_x; + Coordinates output_coords{ z, out_x, out_y, w }; + memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size); + }, + in); + ++batch_id; + } + while(window.slide_window_slice_3D(slice_in)); + } +} +} // namespace arm_compute -- cgit v1.2.1