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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-05-01 15:26:20 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:51:17 +0000 |
commit | 5c2fb3f34462632b99331e2cc2d964c99fc1782b (patch) | |
tree | 16ee3edc412fcf7e3d20241ca8fb093d9774863d /examples/graph_lenet.cpp | |
parent | cac13b1cfd593889271f8e2191be2039b8d88f36 (diff) | |
download | ComputeLibrary-5c2fb3f34462632b99331e2cc2d964c99fc1782b.tar.gz |
COMPMID-997: Add support for node's name in GraphAPI.
Change-Id: I0ca02e42807c1ad9afeffb7202a3556feb11442f
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129701
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
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 |