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Diffstat (limited to 'src/graph2/nodes/ConvolutionLayerNode.cpp')
-rw-r--r-- | src/graph2/nodes/ConvolutionLayerNode.cpp | 111 |
1 files changed, 0 insertions, 111 deletions
diff --git a/src/graph2/nodes/ConvolutionLayerNode.cpp b/src/graph2/nodes/ConvolutionLayerNode.cpp deleted file mode 100644 index 499b3520b2..0000000000 --- a/src/graph2/nodes/ConvolutionLayerNode.cpp +++ /dev/null @@ -1,111 +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/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
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