diff options
Diffstat (limited to 'src/graph2/nodes/FullyConnectedLayer.cpp')
| -rw-r--r-- | src/graph2/nodes/FullyConnectedLayer.cpp | 107 |
1 files changed, 107 insertions, 0 deletions
diff --git a/src/graph2/nodes/FullyConnectedLayer.cpp b/src/graph2/nodes/FullyConnectedLayer.cpp new file mode 100644 index 0000000000..195adc40fe --- /dev/null +++ b/src/graph2/nodes/FullyConnectedLayer.cpp @@ -0,0 +1,107 @@ +/* + * 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
\ No newline at end of file |