| /* |
| * 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/ConvolutionLayerNode.h" |
| |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/graph2/Graph.h" |
| #include "arm_compute/graph2/INodeVisitor.h" |
| |
| namespace arm_compute |
| { |
| namespace graph2 |
| { |
| ConvolutionLayerNode::ConvolutionLayerNode(PadStrideInfo info, ConvolutionMethod method) |
| : _info(std::move(info)), _method(method) |
| { |
| _input_edges.resize(3, EmptyEdgeID); |
| _outputs.resize(1, NullTensorID); |
| } |
| |
| void ConvolutionLayerNode::set_convolution_method(ConvolutionMethod method) |
| { |
| _method = method; |
| } |
| |
| ConvolutionMethod ConvolutionLayerNode::convolution_method() const |
| { |
| return _method; |
| } |
| |
| PadStrideInfo ConvolutionLayerNode::convolution_info() const |
| { |
| return _info; |
| } |
| |
| TensorShape ConvolutionLayerNode::compute_output_shape(TensorShape input_shape, TensorShape weights_shape, PadStrideInfo info) |
| { |
| unsigned int output_width = 0; |
| unsigned int output_height = 0; |
| std::tie(output_width, output_height) = scaled_dimensions(input_shape.x(), input_shape.y(), weights_shape.x(), weights_shape.y(), info); |
| |
| TensorShape output_shape{ input_shape }; |
| output_shape.set(0, output_width); |
| output_shape.set(1, output_height); |
| output_shape.set(2, weights_shape[3]); |
| |
| return output_shape; |
| } |
| |
| bool ConvolutionLayerNode::forward_descriptors() |
| { |
| if((input_id(0) != NullTensorID) && (input_id(1) != 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 ConvolutionLayerNode::configure_output(size_t idx) const |
| { |
| ARM_COMPUTE_UNUSED(idx); |
| const Tensor *src = input(0); |
| const Tensor *weights = input(1); |
| |
| ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr); |
| |
| TensorDescriptor output_info = src->desc(); |
| TensorShape output_shape = compute_output_shape(src->desc().shape, weights->desc().shape, _info); |
| output_info.shape = output_shape; |
| return output_info; |
| } |
| |
| Status ConvolutionLayerNode::validate() |
| { |
| return Status{}; |
| } |
| |
| NodeType ConvolutionLayerNode::type() const |
| { |
| return NodeType::ConvolutionLayer; |
| } |
| |
| void ConvolutionLayerNode::accept(INodeVisitor &v) |
| { |
| v.visit(*this); |
| } |
| } // namespace graph2 |
| } // namespace arm_compute |