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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-06-12 11:30:50 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:52:54 +0000 |
| commit | e083771a1f28c34485f0d0054e2645070df98846 (patch) | |
| tree | d9798d0605cfc916cac8acf145a09ecf74e2f94e /examples/graph_vgg16.cpp | |
| parent | 5cb37732db883e2fb9d96fc3698df8837dbcc8db (diff) | |
| download | ComputeLibrary-e083771a1f28c34485f0d0054e2645070df98846.tar.gz | |
COMPMID-1160 Turn Graph hints into heuristics
Change-Id: Id24c2f07c59d863f8e1af6a1afbf6a542b2b9954
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/135142
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'examples/graph_vgg16.cpp')
| -rw-r--r-- | examples/graph_vgg16.cpp | 12 |
1 files changed, 3 insertions, 9 deletions
diff --git a/examples/graph_vgg16.cpp b/examples/graph_vgg16.cpp index 72e724025b..d70c56eadd 100644 --- a/examples/graph_vgg16.cpp +++ b/examples/graph_vgg16.cpp @@ -51,13 +51,9 @@ public: std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb); // Set target. 0 (NEON), 1 (OpenCL), 2 (OpenCL with Tuner). By default it is NEON - const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; - Target target_hint = set_target_hint(target); - const bool is_opencl = target_hint == Target::CL; - - ConvolutionMethod first_convolution3x3_hint = is_opencl ? ConvolutionMethod::DIRECT : ConvolutionMethod::GEMM; - ConvolutionMethod convolution3x3_hint = ConvolutionMethod::DEFAULT; - FastMathHint fast_math_hint = FastMathHint::DISABLED; + const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; + Target target_hint = set_target_hint(target); + FastMathHint fast_math_hint = FastMathHint::DISABLED; // Parse arguments if(argc < 2) @@ -102,7 +98,6 @@ public: graph << target_hint << fast_math_hint - << first_convolution3x3_hint << InputLayer(TensorDescriptor(TensorShape(224U, 224U, 3U, 1U), DataType::F32), get_input_accessor(image, std::move(preprocessor))) // Layer 1 @@ -113,7 +108,6 @@ public: PadStrideInfo(1, 1, 1, 1)) .set_name("conv1_1") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_1/Relu") - << convolution3x3_hint // Layer 2 << ConvolutionLayer( 3U, 3U, 64U, |