diff options
Diffstat (limited to 'examples/graph_squeezenet_v1_1.cpp')
| -rw-r--r-- | examples/graph_squeezenet_v1_1.cpp | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/examples/graph_squeezenet_v1_1.cpp b/examples/graph_squeezenet_v1_1.cpp index c4a5433352..f5fede2f70 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::NEON ? ConvolutionMethod::GEMM : 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) @@ -112,7 +111,6 @@ 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))) << ConvolutionMethod::DEFAULT |