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Diffstat (limited to 'src/graph2/nodes/FullyConnectedLayer.cpp')
| -rw-r--r-- | src/graph2/nodes/FullyConnectedLayer.cpp | 107 |
1 files changed, 0 insertions, 107 deletions
diff --git a/src/graph2/nodes/FullyConnectedLayer.cpp b/src/graph2/nodes/FullyConnectedLayer.cpp deleted file mode 100644 index 195adc40fe..0000000000 --- a/src/graph2/nodes/FullyConnectedLayer.cpp +++ /dev/null @@ -1,107 +0,0 @@ -/* - * 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
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