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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-05-01 15:26:20 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:51:17 +0000
commit5c2fb3f34462632b99331e2cc2d964c99fc1782b (patch)
tree16ee3edc412fcf7e3d20241ca8fb093d9774863d /examples/graph_lenet.cpp
parentcac13b1cfd593889271f8e2191be2039b8d88f36 (diff)
downloadComputeLibrary-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.cpp12
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