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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-02-14 14:18:01 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:47:18 +0000 |
| commit | e3fba0afa892c66379da1e3d3843f2155a1fb29a (patch) | |
| tree | 2a420a3d988d269cc157d73e8d3c8accf1d21af8 /examples/graph_mobilenet.cpp | |
| parent | f07d28d9ee8ae73a93fe433f72855b6dcf58ad90 (diff) | |
| download | ComputeLibrary-e3fba0afa892c66379da1e3d3843f2155a1fb29a.tar.gz | |
COMPMID-925: Enabling OpenCL tuner in the graph examples
Change-Id: I4fe501281f527e20e8fdd0253d59ea2c4629056b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/120354
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'examples/graph_mobilenet.cpp')
| -rw-r--r-- | examples/graph_mobilenet.cpp | 10 |
1 files changed, 7 insertions, 3 deletions
diff --git a/examples/graph_mobilenet.cpp b/examples/graph_mobilenet.cpp index d3d4774eaa..0cc636a07d 100644 --- a/examples/graph_mobilenet.cpp +++ b/examples/graph_mobilenet.cpp @@ -36,7 +36,7 @@ using namespace arm_compute::graph_utils; /** Example demonstrating how to implement MobileNet's network using the Compute Library's graph API * * @param[in] argc Number of arguments - * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels ) + * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL, 2 = OpenCL with Tuner), [optional] Path to the weights folder, [optional] image, [optional] labels ) */ class GraphMobilenetExample : public Example { @@ -50,8 +50,9 @@ public: constexpr float mean = 0.f; /* Mean value to subtract from the channels */ constexpr float std = 255.f; /* Standard deviation value to divide from the channels */ - // Set target. 0 (NEON), 1 (OpenCL). By default it is NEON - TargetHint target_hint = set_target_hint(argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0); + // Set target. 0 (NEON), 1 (OpenCL), 2 (OpenCL with Tuner). By default it is NEON + const int int_target_hint = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; + TargetHint target_hint = set_target_hint(int_target_hint); ConvolutionMethodHint convolution_hint = ConvolutionMethodHint::GEMM; // Set model to execute. 0 (MobileNetV1_1.0_224), 1 (MobileNetV1_0.75_160) @@ -106,6 +107,9 @@ public: data_path += model_path; } + // Initialize graph + graph.graph_init(int_target_hint == 2); + graph << target_hint << convolution_hint << Tensor(TensorInfo(TensorShape(spatial_size, spatial_size, 3U, 1U), 1, DataType::F32), |