From 2a07e184f7b359d13aa6cacfdc6431f9b191ef0c Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Fri, 4 Aug 2017 18:20:27 +0100 Subject: COMPMID-363 Add Graph library support Change-Id: Ie841419bf65d0e06bdfe0bdd2d8d4e0bb3631e54 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87931 Reviewed-by: Pablo Tello Tested-by: Kaizen --- src/graph/nodes/FullyConnectedLayer.cpp | 130 ++++++++++++++++++++++++++++++++ 1 file changed, 130 insertions(+) create mode 100644 src/graph/nodes/FullyConnectedLayer.cpp (limited to 'src/graph/nodes/FullyConnectedLayer.cpp') diff --git a/src/graph/nodes/FullyConnectedLayer.cpp b/src/graph/nodes/FullyConnectedLayer.cpp new file mode 100644 index 0000000000..8d244cb515 --- /dev/null +++ b/src/graph/nodes/FullyConnectedLayer.cpp @@ -0,0 +1,130 @@ +/* + * Copyright (c) 2017 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/graph/nodes/FullyConnectedLayer.h" + +#include "arm_compute/core/Helpers.h" +#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h" +#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h" +#include "support/ToolchainSupport.h" +#include "utils/TypePrinter.h" + +using namespace arm_compute::graph; + +namespace +{ +template +std::unique_ptr instantiate_function(ITensor *input, Tensor &weights, Tensor &biases, ITensor *output) +{ + bool weights_are_loaded = weights.tensor() != nullptr; + bool biases_are_loaded = biases.tensor() != nullptr; + + auto conv = arm_compute::support::cpp14::make_unique(); + conv->configure( + dynamic_cast(input), + dynamic_cast(weights.set_target(hint)), + dynamic_cast(biases.set_target(hint)), + dynamic_cast(output)); + if(!weights_are_loaded) + { + weights.allocate_and_fill_if_needed(); + } + if(!biases_are_loaded) + { + biases.allocate_and_fill_if_needed(); + } + + return std::move(conv); +} + +template +std::unique_ptr instantiate(ITensor *input, Tensor &weights, Tensor &biases, ITensor *output); + +template <> +std::unique_ptr instantiate(ITensor *input, Tensor &weights, Tensor &biases, ITensor *output) +{ + return instantiate_function(input, weights, biases, output); +} + +template <> +std::unique_ptr instantiate(ITensor *input, Tensor &weights, Tensor &biases, ITensor *output) +{ + return instantiate_function(input, weights, biases, output); +} +} // namespace + +std::unique_ptr FullyConnectedLayer::instantiate_node(Hint hint, ITensor *input, ITensor *output) +{ + if(_weights.tensor() == nullptr) + { + unsigned int num_weights = 1; + unsigned int num_dimensions = input->info()->num_dimensions(); + // Ignore the batch dimension if there is one: + if(num_dimensions == 2 || num_dimensions == 4) + { + num_dimensions--; + } + for(unsigned int i = 0; i < num_dimensions; i++) + { + num_weights *= input->info()->dimension(i); + } + _weights.set_info(TensorInfo(TensorShape(num_weights, _num_neurons), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position())); + } + if(_biases.tensor() == nullptr) + { + _biases.set_info(TensorInfo(TensorShape(_num_neurons), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position())); + } + + arm_compute::auto_init_if_empty(*output->info(), TensorShape(_num_neurons, input->info()->dimension(1)), input->info()->num_channels(), input->info()->data_type(), + input->info()->fixed_point_position()); + + std::unique_ptr func; + _hint = hint; + _input = input; + _output = output; + + if(_hint == Hint::OPENCL) + { + func = instantiate(input, _weights, _biases, output); + } + else + { + func = instantiate(input, _weights, _biases, output); + } + + return func; +} + +void FullyConnectedLayer::print_info() +{ + if(_hint == Hint::OPENCL) + { + std::cout << "Instantiating CLFullyConnectedLayer"; + } + else + { + std::cout << "Instantiating NEFullyConnectedLayer"; + } + std::cout << " Type: " << _input->info()->data_type() << " Input Shape: " << _input->info()->tensor_shape() << " Weights shape: " << _weights.info().tensor_shape() << " Biases Shape: " << + _biases.info().tensor_shape() << " Output Shape: " << _output->info()->tensor_shape() << std::endl; +} -- cgit v1.2.1