From 780db4eb6a9e3dee565d14f36d772038cd3253da Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Thu, 23 Nov 2017 09:49:51 +0000 Subject: COMPMID-471 Implement Deconvolution on OpenCL Change-Id: Ie00c6b08a51d30c5ce2637d40ee3d165b8a68686 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110311 Reviewed-by: Pablo Tello Reviewed-by: Georgios Pinitas Tested-by: Jenkins --- src/runtime/CL/functions/CLDeconvolutionLayer.cpp | 132 ++++++++++++++++++++++ 1 file changed, 132 insertions(+) create mode 100644 src/runtime/CL/functions/CLDeconvolutionLayer.cpp (limited to 'src/runtime/CL/functions/CLDeconvolutionLayer.cpp') diff --git a/src/runtime/CL/functions/CLDeconvolutionLayer.cpp b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp new file mode 100644 index 0000000000..1c55722344 --- /dev/null +++ b/src/runtime/CL/functions/CLDeconvolutionLayer.cpp @@ -0,0 +1,132 @@ +/* + * Copyright (c) 2017, 2018 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/runtime/CL/functions/CLDeconvolutionLayer.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" + +#include +#include + +using namespace arm_compute; +using namespace arm_compute::misc::shape_calculator; + +CLDeconvolutionLayer::CLDeconvolutionLayer(std::shared_ptr memory_manager) // NOLINT + : _memory_group(std::move(memory_manager)), + _scale_f(), + _conv_f(), + _scaled_output() +{ +} + +Status CLDeconvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *output, const PadStrideInfo &info, + unsigned int inner_border_right, unsigned int inner_border_top) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weights, output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(0) != weights->dimension(1)); + ARM_COMPUTE_RETURN_ERROR_ON(weights->dimension(0) < 1); + + const unsigned int stride_x = info.stride().first; + const unsigned int stride_y = info.stride().second; + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(inner_border_right > stride_x - 1, "inner_border_right must be smaller than stride_x"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(inner_border_top > stride_y - 1, "inner_border_top must be smaller than stride_y"); + + auto out_dims = deconvolution_output_dimensions(input->dimension(0), input->dimension(1), weights->dimension(0), weights->dimension(1), + info.pad().first, info.pad().second, inner_border_right, inner_border_top, stride_x, stride_y); + + const TensorShape output_shape = deconvolution_output_shape(out_dims, input->tensor_shape(), weights->tensor_shape()); + + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, weights, bias); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output, weights, bias); + + if(bias != nullptr) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, bias); + } + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(Window::DimX) != output_shape.x(), "Output's width is invalid."); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(Window::DimY) != output_shape.y(), "Output's height is invalid."); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(Window::DimZ) != output_shape.z(), "Output's depth is invalid."); + + TensorInfo scale_out_info(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_deconvolution_shape(*input, stride_x, stride_y, inner_border_right, inner_border_top, + info))); + const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL); + + ARM_COMPUTE_RETURN_ON_ERROR(CLDeconvolutionLayerUpsample::validate(input, &scale_out_info, BorderSize(inner_border_right, inner_border_top), info)); + ARM_COMPUTE_RETURN_ON_ERROR(CLDirectConvolutionLayer::validate(&scale_out_info, weights, bias, output, conv_info)); + + return Status{}; +} + +void CLDeconvolutionLayer::configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *bias, ICLTensor *output, const PadStrideInfo &info, + unsigned int inner_border_right, unsigned int inner_border_top) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); + + const unsigned int stride_x = info.stride().first; + const unsigned int stride_y = info.stride().second; + + auto out_dims = deconvolution_output_dimensions(input->info()->dimension(0), input->info()->dimension(1), weights->info()->dimension(0), weights->info()->dimension(1), + info.pad().first, info.pad().second, inner_border_top, inner_border_right, stride_x, stride_y); + + const TensorShape output_shape = deconvolution_output_shape(out_dims, input->info()->tensor_shape(), weights->info()->tensor_shape()); + + // Output auto initialization if not yet initialized + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + + // Perform validation step + ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayer::validate(input->info(), weights->info(), bias == nullptr ? nullptr : bias->info(), output->info(), info, inner_border_right, inner_border_top)); + + _memory_group.manage(&_scaled_output); + + // configure scale function + // Init and allocate intermmidiate tensor for output, same size as input but the first two axis are the same as the output tensor + TensorShape scale_out_shape(input->info()->tensor_shape()); + const unsigned int out_x = input->info()->dimension(0) + (input->info()->dimension(0) - 1) * (stride_x - 1) + inner_border_right + 2 * info.pad().first; + const unsigned int out_y = input->info()->dimension(1) + (input->info()->dimension(1) - 1) * (stride_y - 1) + inner_border_top + 2 * info.pad().second; + scale_out_shape.set(0, out_x); + scale_out_shape.set(1, out_y); + TensorInfo scale_out_info(scale_out_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + _scaled_output.allocator()->init(scale_out_info); + + _scale_f.configure(input, &_scaled_output, BorderSize(inner_border_top, inner_border_right), info); + + // setup the function to convolve the upscaled output + const PadStrideInfo conv_info(1, 1, 0, 0, 0, 0, DimensionRoundingType::CEIL); + _conv_f.configure(&_scaled_output, weights, bias, output, conv_info); + _scaled_output.allocator()->allocate(); +} + +void CLDeconvolutionLayer::run() +{ + _memory_group.acquire(); + _scale_f.run(); + _conv_f.run(); + _memory_group.release(); +} -- cgit v1.2.1