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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-05-16 15:52:35 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:52:54 +0000 |
commit | 087eaf67dc4be4234a7fcfc3b109c1e4f5e7dd5e (patch) | |
tree | 5cb63112eb567bbc683dfb9a0f51ce4960cf800d /src/graph/nodes/DeconvolutionLayerNode.cpp | |
parent | 1b993389a3ac0cd1b0edc0b11e92fbdee127576f (diff) | |
download | ComputeLibrary-087eaf67dc4be4234a7fcfc3b109c1e4f5e7dd5e.tar.gz |
COMPMID-1176: Adds nodes to the graph.
Nodes added:
-ChannelShuffle
-Resize
-Deconvolution
-Dummy (used for performance analysis and debugging)
Change-Id: Iad19960cbbce6e25532f77bfd34b2292c0ca9781
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/131672
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/graph/nodes/DeconvolutionLayerNode.cpp')
-rw-r--r-- | src/graph/nodes/DeconvolutionLayerNode.cpp | 113 |
1 files changed, 113 insertions, 0 deletions
diff --git a/src/graph/nodes/DeconvolutionLayerNode.cpp b/src/graph/nodes/DeconvolutionLayerNode.cpp new file mode 100644 index 0000000000..9329ae3c23 --- /dev/null +++ b/src/graph/nodes/DeconvolutionLayerNode.cpp @@ -0,0 +1,113 @@ +/* + * 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/graph/nodes/DeconvolutionLayerNode.h" + +#include "arm_compute/core/Utils.h" +#include "arm_compute/graph/Graph.h" +#include "arm_compute/graph/INodeVisitor.h" +#include "arm_compute/graph/Utils.h" + +namespace arm_compute +{ +namespace graph +{ +DeconvolutionLayerNode::DeconvolutionLayerNode(PadStrideInfo info, Size2D inner_border) + : _info(std::move(info)), _inner_border(inner_border) +{ + _input_edges.resize(3, EmptyEdgeID); + _outputs.resize(1, NullTensorID); +} + +PadStrideInfo DeconvolutionLayerNode::deconvolution_info() const +{ + return _info; +} + +Size2D DeconvolutionLayerNode::inner_border() const +{ + return _inner_border; +} + +TensorDescriptor DeconvolutionLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, + const TensorDescriptor &weights_descriptor, + const PadStrideInfo &info, + const Size2D &inner_border) +{ + unsigned int output_width = 0; + unsigned int output_height = 0; + + const unsigned int input_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH); + const unsigned int input_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT); + const unsigned int kernel_width = get_dimension_size(weights_descriptor, DataLayoutDimension::WIDTH); + const unsigned int kernel_height = get_dimension_size(weights_descriptor, DataLayoutDimension::HEIGHT); + + std::tie(output_width, output_height) = deconvolution_output_dimensions(input_width, input_height, + kernel_width, kernel_height, + info.pad().first, info.pad().second, + inner_border.x(), inner_border.y(), + info.stride().first, info.stride().second); + + TensorDescriptor output_descriptor = input_descriptor; + output_descriptor.shape.set(get_dimension_idx(output_descriptor, DataLayoutDimension::WIDTH), output_width); + output_descriptor.shape.set(get_dimension_idx(output_descriptor, DataLayoutDimension::HEIGHT), output_height); + output_descriptor.shape.set(get_dimension_idx(output_descriptor, DataLayoutDimension::CHANNEL), weights_descriptor.shape[3]); + + return output_descriptor; +} + +bool DeconvolutionLayerNode::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 DeconvolutionLayerNode::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 = compute_output_descriptor(src->desc(), weights->desc(), _info, _inner_border); + return output_info; +} + +NodeType DeconvolutionLayerNode::type() const +{ + return NodeType::DeconvolutionLayer; +} + +void DeconvolutionLayerNode::accept(INodeVisitor &v) +{ + v.visit(*this); +} +} // namespace graph +} // namespace arm_compute
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