From afd38f0c617d6f89b2b4532c6c44f116617e2b6f Mon Sep 17 00:00:00 2001 From: Felix Thomasmathibalan Date: Wed, 27 Sep 2023 17:46:17 +0100 Subject: 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 Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391 Benchmark: Arm Jenkins Tested-by: Arm Jenkins Reviewed-by: Gunes Bayir --- src/graph/nodes/ReorgLayerNode.cpp | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) (limited to 'src/graph/nodes/ReorgLayerNode.cpp') diff --git a/src/graph/nodes/ReorgLayerNode.cpp b/src/graph/nodes/ReorgLayerNode.cpp index e693e4b931..251a4ea1b2 100644 --- a/src/graph/nodes/ReorgLayerNode.cpp +++ b/src/graph/nodes/ReorgLayerNode.cpp @@ -31,8 +31,7 @@ namespace arm_compute { namespace graph { -ReorgLayerNode::ReorgLayerNode(int stride) - : _stride(stride) +ReorgLayerNode::ReorgLayerNode(int stride) : _stride(stride) { _input_edges.resize(1, EmptyEdgeID); _outputs.resize(1, NullTensorID); @@ -51,20 +50,22 @@ TensorDescriptor ReorgLayerNode::compute_output_descriptor(const TensorDescripto ARM_COMPUTE_ERROR_ON(stride <= 0); ARM_COMPUTE_ERROR_ON_MSG((input_width % stride != 0), "The width of the input tensor must be a multiple of stride"); - ARM_COMPUTE_ERROR_ON_MSG((input_height % stride != 0), "The height of the input tensor must be a multiple of stride"); + ARM_COMPUTE_ERROR_ON_MSG((input_height % stride != 0), + "The height of the input tensor must be a multiple of stride"); const DataLayout data_layout = input_descriptor.layout; TensorDescriptor output_descriptor = input_descriptor; output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), input_width / stride); output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), input_height / stride); - output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), input_channel * stride * stride); + output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), + input_channel * stride * stride); return output_descriptor; } bool ReorgLayerNode::forward_descriptors() { - if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID)) + if ((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID)) { Tensor *dst = output(0); ARM_COMPUTE_ERROR_ON(dst == nullptr); @@ -95,4 +96,4 @@ void ReorgLayerNode::accept(INodeVisitor &v) v.visit(*this); } } // namespace graph -} // namespace arm_compute \ No newline at end of file +} // namespace arm_compute -- cgit v1.2.1