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authorFelix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-27 17:46:17 +0100
committerfelixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>2023-09-28 12:08:05 +0000
commitafd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch)
tree03bc7d5a762099989b16a656fa8d397b490ed70e /src/graph/nodes/EltwiseLayerNode.cpp
parentbdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff)
downloadComputeLibrary-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/EltwiseLayerNode.cpp')
-rw-r--r--src/graph/nodes/EltwiseLayerNode.cpp11
1 files changed, 5 insertions, 6 deletions
diff --git a/src/graph/nodes/EltwiseLayerNode.cpp b/src/graph/nodes/EltwiseLayerNode.cpp
index 4426e953ee..3f7a08e64d 100644
--- a/src/graph/nodes/EltwiseLayerNode.cpp
+++ b/src/graph/nodes/EltwiseLayerNode.cpp
@@ -31,8 +31,7 @@ namespace arm_compute
{
namespace graph
{
-EltwiseLayerNode::EltwiseLayerNode(const descriptors::EltwiseLayerDescriptor &descriptor)
- : descriptor(descriptor)
+EltwiseLayerNode::EltwiseLayerNode(const descriptors::EltwiseLayerDescriptor &descriptor) : descriptor(descriptor)
{
_input_edges.resize(2, EmptyEdgeID);
_outputs.resize(1, NullTensorID);
@@ -70,7 +69,7 @@ void EltwiseLayerNode::set_fused_activation(ActivationLayerInfo fused_activation
bool EltwiseLayerNode::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);
@@ -97,7 +96,7 @@ TensorDescriptor EltwiseLayerNode::configure_output(size_t idx) const
output_info.set_shape(out_shape);
- if(!descriptor.out_quant_info.empty())
+ if (!descriptor.out_quant_info.empty())
{
output_info.set_quantization_info(descriptor.out_quant_info);
}
@@ -134,7 +133,7 @@ void UnaryEltwiseLayerNode::set_fused_activation(ActivationLayerInfo fused_activ
bool UnaryEltwiseLayerNode::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);
@@ -153,7 +152,7 @@ TensorDescriptor UnaryEltwiseLayerNode::configure_output(size_t idx) const
auto output_info = src->desc();
- if(!descriptor.out_quant_info.empty())
+ if (!descriptor.out_quant_info.empty())
{
output_info.set_quantization_info(descriptor.out_quant_info);
}