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-rw-r--r--examples/graph_inception_v3.cpp5
1 files changed, 3 insertions, 2 deletions
diff --git a/examples/graph_inception_v3.cpp b/examples/graph_inception_v3.cpp
index 9bb51bad44..73a4450a4f 100644
--- a/examples/graph_inception_v3.cpp
+++ b/examples/graph_inception_v3.cpp
@@ -56,6 +56,8 @@ public:
bool enable_tuning = (target == 2);
bool enable_memory_management = true;
+ ConvolutionMethod convolution_hint = (target_hint == Target::CL) ? ConvolutionMethod::WINOGRAD : ConvolutionMethod::GEMM;
+
// Parse arguments
if(argc < 2)
{
@@ -90,7 +92,6 @@ public:
graph << target_hint << InputLayer(TensorDescriptor(TensorShape(299U, 299U, 3U, 1U), DataType::F32),
get_input_accessor(image, std::move(preprocessor), false))
-
<< ConvolutionLayer(3U, 3U, 32U,
get_weights_accessor(data_path, "/cnn_data/inceptionv3_model/Conv2d_1a_3x3_weights.npy"),
std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(2, 2, 0, 0))
@@ -102,7 +103,7 @@ public:
"/cnn_data/inceptionv3_model/Conv2d_1a_3x3_BatchNorm_beta.npy"),
0.001f)
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
-
+ << convolution_hint
<< ConvolutionLayer(3U, 3U, 32U,
get_weights_accessor(data_path, "/cnn_data/inceptionv3_model/Conv2d_2a_3x3_weights.npy"),
std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), PadStrideInfo(1, 1, 0, 0))