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/PoolingLayerNode.cpp | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) (limited to 'src/graph/nodes/PoolingLayerNode.cpp') diff --git a/src/graph/nodes/PoolingLayerNode.cpp b/src/graph/nodes/PoolingLayerNode.cpp index 4ecf924a5e..ac954acbe3 100644 --- a/src/graph/nodes/PoolingLayerNode.cpp +++ b/src/graph/nodes/PoolingLayerNode.cpp @@ -32,8 +32,7 @@ namespace arm_compute { namespace graph { -PoolingLayerNode::PoolingLayerNode(PoolingLayerInfo pool_info) - : _info(std::move(pool_info)) +PoolingLayerNode::PoolingLayerNode(PoolingLayerInfo pool_info) : _info(std::move(pool_info)) { _input_edges.resize(1, EmptyEdgeID); _outputs.resize(1, NullTensorID); @@ -55,7 +54,8 @@ TensorDescriptor PoolingLayerNode::compute_output_descriptor(const TensorDescrip const unsigned int pool_size_x = info.is_global_pooling ? input_width : info.pool_size.width; const unsigned int pool_size_y = info.is_global_pooling ? input_height : info.pool_size.height; - std::tie(pooled_width, pooled_height) = scaled_dimensions(input_width, input_height, pool_size_x, pool_size_y, info.pad_stride_info); + std::tie(pooled_width, pooled_height) = + scaled_dimensions(input_width, input_height, pool_size_x, pool_size_y, info.pad_stride_info); const DataLayout data_layout = input_descriptor.layout; TensorDescriptor output_descriptor = input_descriptor; @@ -67,7 +67,7 @@ TensorDescriptor PoolingLayerNode::compute_output_descriptor(const TensorDescrip bool PoolingLayerNode::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); @@ -98,4 +98,4 @@ void PoolingLayerNode::accept(INodeVisitor &v) v.visit(*this); } } // namespace graph -} // namespace arm_compute \ No newline at end of file +} // namespace arm_compute -- cgit v1.2.1