diff options
| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-12-04 15:51:34 +0000 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-12-10 10:44:54 +0000 |
| commit | 0b1c2db5c29ed80b7f4dd0c4fd6d4ed91b3d1538 (patch) | |
| tree | 4d59e2627ad5d094ff80976488a5488982764d85 /examples | |
| parent | ec2256b81e6d6f655dcfbc76683738fbfeb82bcc (diff) | |
| download | ComputeLibrary-0b1c2db5c29ed80b7f4dd0c4fd6d4ed91b3d1538.tar.gz | |
Remove (NE/CL)YoloLayer support
YOLO layer is too specialized and specific to a single model type. Can
be decomposed using split, activation and concatenate layers
Partially Resolves: COMPMID-3996
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I3cde88f8d4cc7d8c70ce1bb3b32b00f8d09bdca2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4678
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/graph_yolov3.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/examples/graph_yolov3.cpp b/examples/graph_yolov3.cpp index 79d891a308..9eb24a1718 100644 --- a/examples/graph_yolov3.cpp +++ b/examples/graph_yolov3.cpp @@ -171,7 +171,7 @@ public: PadStrideInfo(1, 1, 0, 0)) .set_name("conv2d_59") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 1.f)).set_name("conv2d_59/Linear") - << YOLOLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.1f), 80).set_name("Yolo1") + << YOLOLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.1f)).set_name("Yolo1") << OutputLayer(get_output_accessor(common_params, 5)); route_1 << ConvolutionLayer( 1U, 1U, 256U, @@ -282,7 +282,7 @@ public: PadStrideInfo(1, 1, 0, 0)) .set_name("conv2d_67") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 1.f)).set_name("conv2d_67/Linear") - << YOLOLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.1f), 80).set_name("Yolo2") + << YOLOLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.1f)).set_name("Yolo2") << OutputLayer(get_output_accessor(common_params, 5)); route_2 << ConvolutionLayer( 1U, 1U, 128U, @@ -392,7 +392,7 @@ public: PadStrideInfo(1, 1, 0, 0)) .set_name("conv2d_75") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 1.f)).set_name("conv2d_75/Linear") - << YOLOLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.1f), 80).set_name("Yolo3") + << YOLOLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.1f)).set_name("Yolo3") << OutputLayer(get_output_accessor(common_params, 5)); // Finalize graph |