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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/DataLayerVisitor.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/DataLayerVisitor.cpp')
-rw-r--r-- | src/graph/DataLayerVisitor.cpp | 24 |
1 files changed, 11 insertions, 13 deletions
diff --git a/src/graph/DataLayerVisitor.cpp b/src/graph/DataLayerVisitor.cpp index 073ffd413d..f0fac25577 100644 --- a/src/graph/DataLayerVisitor.cpp +++ b/src/graph/DataLayerVisitor.cpp @@ -25,8 +25,8 @@ #include "arm_compute/core/Error.h" #include "arm_compute/graph/Graph.h" -#include "arm_compute/graph/TypePrinter.h" #include "arm_compute/graph/nodes/Nodes.h" +#include "arm_compute/graph/TypePrinter.h" namespace arm_compute { @@ -43,17 +43,14 @@ void add_convolution_layer_data(DataLayerVisitor::LayerData &layer_data, T &node layer_data["data_layout"] = to_string(layout); // Add padding info std::ostringstream padding; - padding << "[" << to_string(ps_info.pad_left()) << "," - << to_string(ps_info.pad_top()) << "," - << to_string(ps_info.pad_bottom()) << "," - << to_string(ps_info.pad_right()) << "]"; + padding << "[" << to_string(ps_info.pad_left()) << "," << to_string(ps_info.pad_top()) << "," + << to_string(ps_info.pad_bottom()) << "," << to_string(ps_info.pad_right()) << "]"; layer_data["pad"] = padding.str(); // Add stride info std::ostringstream stride; - stride << "[" << to_string(ps_info.stride().first) << "," - << to_string(ps_info.stride().second) << "]"; + stride << "[" << to_string(ps_info.stride().first) << "," << to_string(ps_info.stride().second) << "]"; layer_data["stride"] = stride.str(); @@ -68,12 +65,12 @@ void add_convolution_layer_data(DataLayerVisitor::LayerData &layer_data, T &node // Change input names for weights / bias (if applicable) // Assumes input(1) is weights and input(2) is bias - if(layer_data.count("input_shape1")) + if (layer_data.count("input_shape1")) { layer_data["weights_shape"] = layer_data["input_shape1"]; layer_data.erase("input_shape1"); } - if(layer_data.count("input_shape2")) + if (layer_data.count("input_shape2")) { layer_data["bias_shape"] = layer_data["input_shape2"]; layer_data.erase("input_shape2"); @@ -92,16 +89,17 @@ template <typename T> void add_generic_layer_data(DataLayerVisitor::LayerData &layer_data, T &node) { // Loop over each input tensor - for(size_t tensor_no = 0; tensor_no < node.num_inputs(); ++tensor_no) + for (size_t tensor_no = 0; tensor_no < node.num_inputs(); ++tensor_no) { // Add input tensor shapes - if(node.input(tensor_no) != nullptr) + if (node.input(tensor_no) != nullptr) { - layer_data["input_shape" + to_string(tensor_no)] = "[" + to_string(node.input(tensor_no)->desc().shape) + "]"; + layer_data["input_shape" + to_string(tensor_no)] = + "[" + to_string(node.input(tensor_no)->desc().shape) + "]"; } } // Add output tensor shape - if(node.output(0) != nullptr) + if (node.output(0) != nullptr) { layer_data["output_shape0"] = "[" + to_string(node.output(0)->desc().shape) + "]"; } |