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| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-02-07 15:38:12 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:47:18 +0000 |
| commit | 1167487ea8e54a76d0a3625e0aa84e2ad9ffd317 (patch) | |
| tree | 287dbc45e895c6b637fecc692c04bd4ae59580ae /examples/graph_mobilenet.cpp | |
| parent | 4e1e7dcd581adecd5ad9c0f9503fc3c43f8222ef (diff) | |
| download | ComputeLibrary-1167487ea8e54a76d0a3625e0aa84e2ad9ffd317.tar.gz | |
COMPMID-897 Merge batch normalization with bounded relu
Change-Id: I9a607fe620f795cdea1a99fdd3f5f8c2fc76f980
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/119234
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'examples/graph_mobilenet.cpp')
| -rw-r--r-- | examples/graph_mobilenet.cpp | 10 |
1 files changed, 3 insertions, 7 deletions
diff --git a/examples/graph_mobilenet.cpp b/examples/graph_mobilenet.cpp index 6d3a88e540..d3d4774eaa 100644 --- a/examples/graph_mobilenet.cpp +++ b/examples/graph_mobilenet.cpp @@ -122,9 +122,7 @@ public: get_weights_accessor(data_path, "Conv2d_0_BatchNorm_moving_variance.npy"), get_weights_accessor(data_path, "Conv2d_0_BatchNorm_gamma.npy"), get_weights_accessor(data_path, "Conv2d_0_BatchNorm_beta.npy"), - 0.001f) - << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) - + 0.001f, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) << get_dwsc_node(data_path, "Conv2d_1", 64 * depth_scale, PadStrideInfo(1, 1, 1, 1), PadStrideInfo(1, 1, 0, 0)) << get_dwsc_node(data_path, "Conv2d_2", 128 * depth_scale, PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL), PadStrideInfo(1, 1, 0, 0)) << get_dwsc_node(data_path, "Conv2d_3", 128 * depth_scale, PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), PadStrideInfo(1, 1, 0, 0)) @@ -174,8 +172,7 @@ private: get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_moving_variance.npy"), get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_gamma.npy"), get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_beta.npy"), - 0.001f) - << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) + 0.001f, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) << ConvolutionLayer( 1U, 1U, conv_filt, get_weights_accessor(data_path, total_path + "pointwise_weights.npy"), @@ -186,8 +183,7 @@ private: get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_moving_variance.npy"), get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_gamma.npy"), get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_beta.npy"), - 0.001f) - << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)); + 0.001f, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)); return BranchLayer(std::move(sg)); } |