aboutsummaryrefslogtreecommitdiff
path: root/examples/graph_googlenet.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'examples/graph_googlenet.cpp')
-rw-r--r--examples/graph_googlenet.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/graph_googlenet.cpp b/examples/graph_googlenet.cpp
index 85384d48d3..25e9e7f0cf 100644
--- a/examples/graph_googlenet.cpp
+++ b/examples/graph_googlenet.cpp
@@ -54,7 +54,7 @@ public:
// 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;
+ ConvolutionMethod convolution_hint = target_hint == Target::NEON ? ConvolutionMethod::GEMM : ConvolutionMethod::DEFAULT;
// Parse arguments
if(argc < 2)
@@ -96,10 +96,10 @@ public:
get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv1/conv1_7x7_s2_w.npy"),
get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv1/conv1_7x7_s2_b.npy"),
PadStrideInfo(2, 2, 3, 3))
+ << convolution_hint
<< ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
<< PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)))
<< NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f))
- << convolution_hint
<< ConvolutionLayer(
1U, 1U, 64U,
get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_reduce_w.npy"),