diff options
Diffstat (limited to 'examples/graph_squeezenet_v1_1.cpp')
| -rw-r--r-- | examples/graph_squeezenet_v1_1.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/examples/graph_squeezenet_v1_1.cpp b/examples/graph_squeezenet_v1_1.cpp index 1696b7df43..e1a1f661fb 100644 --- a/examples/graph_squeezenet_v1_1.cpp +++ b/examples/graph_squeezenet_v1_1.cpp @@ -56,10 +56,9 @@ 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); - - ConvolutionMethod convolution_hint = (target_hint == Target::CL) ? ConvolutionMethod::WINOGRAD : ConvolutionMethod::GEMM; + const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; + Target target_hint = set_target_hint(target); + ConvolutionMethod convolution_hint = target_hint == Target::NEON ? ConvolutionMethod::GEMM : ConvolutionMethod::DEFAULT; // Parse arguments if(argc < 2) @@ -102,9 +101,10 @@ public: get_weights_accessor(data_path, "/cnn_data/squeezenet_v1_1_model/conv1_w.npy"), get_weights_accessor(data_path, "/cnn_data/squeezenet_v1_1_model/conv1_b.npy"), PadStrideInfo(2, 2, 0, 0)) + << convolution_hint << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))) - << convolution_hint + << ConvolutionMethod::DEFAULT << ConvolutionLayer( 1U, 1U, 16U, get_weights_accessor(data_path, "/cnn_data/squeezenet_v1_1_model/fire2_squeeze1x1_w.npy"), |