diff options
Diffstat (limited to 'examples/graph_lenet.cpp')
| -rw-r--r-- | examples/graph_lenet.cpp | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/examples/graph_lenet.cpp b/examples/graph_lenet.cpp index 8aca0fa45b..895d9aad4e 100644 --- a/examples/graph_lenet.cpp +++ b/examples/graph_lenet.cpp @@ -84,23 +84,27 @@ public: get_weights_accessor(data_path, "/cnn_data/lenet_model/conv1_w.npy"), get_weights_accessor(data_path, "/cnn_data/lenet_model/conv1_b.npy"), PadStrideInfo(1, 1, 0, 0)) - << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))) + .set_name("conv1") + << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool1") << ConvolutionLayer( 5U, 5U, 50U, get_weights_accessor(data_path, "/cnn_data/lenet_model/conv2_w.npy"), get_weights_accessor(data_path, "/cnn_data/lenet_model/conv2_b.npy"), PadStrideInfo(1, 1, 0, 0)) - << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))) + .set_name("conv2") + << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool2") << FullyConnectedLayer( 500U, get_weights_accessor(data_path, "/cnn_data/lenet_model/ip1_w.npy"), get_weights_accessor(data_path, "/cnn_data/lenet_model/ip1_b.npy")) - << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) + .set_name("ip1") + << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu") << FullyConnectedLayer( 10U, get_weights_accessor(data_path, "/cnn_data/lenet_model/ip2_w.npy"), get_weights_accessor(data_path, "/cnn_data/lenet_model/ip2_b.npy")) - << SoftmaxLayer() + .set_name("ip2") + << SoftmaxLayer().set_name("prob") << OutputLayer(get_output_accessor("")); // Finalize graph |