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-rw-r--r--examples/graph_mobilenet.cpp4
1 files changed, 3 insertions, 1 deletions
diff --git a/examples/graph_mobilenet.cpp b/examples/graph_mobilenet.cpp
index 0c916c7ba0..553253383f 100644
--- a/examples/graph_mobilenet.cpp
+++ b/examples/graph_mobilenet.cpp
@@ -86,7 +86,8 @@ void main_graph_mobilenet(int argc, const char **argv)
constexpr float mean_b = 104.01f; /* Mean value to subtract from blue channel */
// 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);
+ TargetHint target_hint = set_target_hint(argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0);
+ ConvolutionMethodHint convolution_hint = target_hint == TargetHint::NEON ? ConvolutionMethodHint::GEMM : ConvolutionMethodHint::DIRECT;
// Parse arguments
if(argc < 2)
@@ -125,6 +126,7 @@ void main_graph_mobilenet(int argc, const char **argv)
graph << target_hint
<< Tensor(TensorInfo(TensorShape(224U, 224U, 3U, 1U), 1, DataType::F32),
get_input_accessor(image, mean_r, mean_g, mean_b))
+ << convolution_hint
<< ConvolutionLayer(
3U, 3U, 32U,
get_weights_accessor(data_path, "/cnn_data/mobilenet_v1_model/Conv2d_0_weights.npy"),