| /* |
| * Copyright (c) 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/graph2/nodes/FullyConnectedLayerNode.h" |
| |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/graph2/Graph.h" |
| #include "arm_compute/graph2/INodeVisitor.h" |
| |
| namespace arm_compute |
| { |
| namespace graph2 |
| { |
| FullyConnectedLayerNode::FullyConnectedLayerNode(unsigned int num_outputs) |
| : _num_outputs(num_outputs) |
| { |
| _input_edges.resize(3, EmptyEdgeID); |
| _outputs.resize(1, NullTensorID); |
| } |
| |
| TensorShape FullyConnectedLayerNode::compute_weights_shape(TensorShape input_shape, unsigned int num_outputs) |
| { |
| unsigned int num_weights = 1; |
| unsigned int num_dimensions = input_shape.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_shape[i]; |
| } |
| return TensorShape(num_weights, num_outputs); |
| } |
| |
| TensorShape FullyConnectedLayerNode::compute_output_shape(TensorShape input_shape, unsigned int num_outputs) |
| { |
| // Note: Only 1D batch space is supported at the moment |
| unsigned int batches = input_shape[1]; |
| if(input_shape.num_dimensions() > 2) |
| { |
| batches = input_shape[3]; |
| } |
| return TensorShape(num_outputs, batches); |
| } |
| |
| bool FullyConnectedLayerNode::forward_descriptors() |
| { |
| if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID)) |
| { |
| Tensor *dst = output(0); |
| ARM_COMPUTE_ERROR_ON(dst == nullptr); |
| dst->desc() = configure_output(0); |
| return true; |
| } |
| return false; |
| } |
| |
| TensorDescriptor FullyConnectedLayerNode::configure_output(size_t idx) const |
| { |
| ARM_COMPUTE_UNUSED(idx); |
| const Tensor *src = input(0); |
| ARM_COMPUTE_ERROR_ON(src == nullptr); |
| |
| TensorDescriptor output_info = src->desc(); |
| TensorShape output_shape = compute_output_shape(src->desc().shape, _num_outputs); |
| output_info.shape = output_shape; |
| return output_info; |
| } |
| |
| Status FullyConnectedLayerNode::validate() |
| { |
| return Status{}; |
| } |
| |
| NodeType FullyConnectedLayerNode::type() const |
| { |
| return NodeType::FullyConnectedLayer; |
| } |
| |
| void FullyConnectedLayerNode::accept(INodeVisitor &v) |
| { |
| v.visit(*this); |
| } |
| } // namespace graph2 |
| } // namespace arm_compute |