diff options
author | Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-27 17:46:17 +0100 |
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committer | felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-28 12:08:05 +0000 |
commit | afd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch) | |
tree | 03bc7d5a762099989b16a656fa8d397b490ed70e /src/graph/nodes/DepthwiseConvolutionLayerNode.cpp | |
parent | bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff) | |
download | ComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz |
Apply clang-format on repository
Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Diffstat (limited to 'src/graph/nodes/DepthwiseConvolutionLayerNode.cpp')
-rw-r--r-- | src/graph/nodes/DepthwiseConvolutionLayerNode.cpp | 24 |
1 files changed, 16 insertions, 8 deletions
diff --git a/src/graph/nodes/DepthwiseConvolutionLayerNode.cpp b/src/graph/nodes/DepthwiseConvolutionLayerNode.cpp index 7de20165cb..92d7266088 100644 --- a/src/graph/nodes/DepthwiseConvolutionLayerNode.cpp +++ b/src/graph/nodes/DepthwiseConvolutionLayerNode.cpp @@ -32,9 +32,15 @@ namespace arm_compute { namespace graph { -DepthwiseConvolutionLayerNode::DepthwiseConvolutionLayerNode(PadStrideInfo info, int depth_multiplier, DepthwiseConvolutionMethod method, - QuantizationInfo out_quant_info) - : _info(std::move(info)), _depth_multiplier(depth_multiplier), _method(method), _out_quant_info(std::move(out_quant_info)), _fused_activation() +DepthwiseConvolutionLayerNode::DepthwiseConvolutionLayerNode(PadStrideInfo info, + int depth_multiplier, + DepthwiseConvolutionMethod method, + QuantizationInfo out_quant_info) + : _info(std::move(info)), + _depth_multiplier(depth_multiplier), + _method(method), + _out_quant_info(std::move(out_quant_info)), + _fused_activation() { _input_edges.resize(3, EmptyEdgeID); _outputs.resize(1, NullTensorID); @@ -89,20 +95,22 @@ TensorDescriptor DepthwiseConvolutionLayerNode::compute_output_descriptor(const 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) = scaled_dimensions(input_width, input_height, kernel_width, kernel_height, info); + std::tie(output_width, output_height) = + scaled_dimensions(input_width, input_height, kernel_width, kernel_height, info); const DataLayout data_layout = input_descriptor.layout; TensorDescriptor output_descriptor = input_descriptor; output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), output_width); output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), output_height); - output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), input_channels * depth_multiplier); + output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), + input_channels * depth_multiplier); return output_descriptor; } bool DepthwiseConvolutionLayerNode::forward_descriptors() { - if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID)) + if ((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID)) { Tensor *dst = output(0); ARM_COMPUTE_ERROR_ON(dst == nullptr); @@ -121,7 +129,7 @@ TensorDescriptor DepthwiseConvolutionLayerNode::configure_output(size_t idx) con ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr); TensorDescriptor output_info = compute_output_descriptor(src->desc(), weights->desc(), _info, _depth_multiplier); - if(!_out_quant_info.empty()) + if (!_out_quant_info.empty()) { output_info.quant_info = _out_quant_info; } @@ -139,4 +147,4 @@ void DepthwiseConvolutionLayerNode::accept(INodeVisitor &v) v.visit(*this); } } // namespace graph -} // namespace arm_compute
\ No newline at end of file +} // namespace arm_compute |