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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-08-28 13:32:02 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 427bbbf939a37150fd6768c29c9753771806dab3 (patch) | |
| tree | 9e0761046e2e0d0f960cffeef3fa8e9634ef3426 /examples/graph_inception_resnet_v2.cpp | |
| parent | ea9e0dc18c408fecb6dc482b774bd900dd321610 (diff) | |
| download | ComputeLibrary-427bbbf939a37150fd6768c29c9753771806dab3.tar.gz | |
COMPMID-1522: Add ElementWiseOperation node in the graph API
Change-Id: Icb428bf3b5d3634fdddc57562cce670776e7f7a3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145814
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'examples/graph_inception_resnet_v2.cpp')
| -rw-r--r-- | examples/graph_inception_resnet_v2.cpp | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/examples/graph_inception_resnet_v2.cpp b/examples/graph_inception_resnet_v2.cpp index c087c1a808..150de7dcc9 100644 --- a/examples/graph_inception_resnet_v2.cpp +++ b/examples/graph_inception_resnet_v2.cpp @@ -316,7 +316,7 @@ private: << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu"); // Concatenate - graph << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d)).set_name("Mixed_5a/concat"); + graph << ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d)).set_name("Mixed_5a/concat"); } void block_mixed_6a(const std::string &data_path, DataLayout weights_layout) @@ -380,7 +380,7 @@ private: i_c << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0), true)).set_name("Mixed_6a/Branch_2/MaxPool_1a_3x3"); // Concatenate - graph << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c)).set_name("Mixed_6a/concat"); + graph << ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c)).set_name("Mixed_6a/concat"); } void block_mixed_7a(const std::string &data_path, DataLayout weights_layout) @@ -483,7 +483,7 @@ private: i_d << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("Mixed_7a/Branch_3/MaxPool_1a_3x3"); // Concatenate - graph << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d)).set_name("Mixed_7a/concat"); + graph << ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d)).set_name("Mixed_7a/concat"); } void block35_repeat(const std::string &data_path, DataLayout weights_layout, unsigned int num_blocks) @@ -584,7 +584,7 @@ private: << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "Branch_2/Conv2d_0c_3x3/Relu"); // Concatenate - i_l << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_la), std::move(i_lb), std::move(i_lc)).set_name(unit_name + "concat") + i_l << ConcatLayer(std::move(i_la), std::move(i_lb), std::move(i_lc)).set_name(unit_name + "concat") << ConvolutionLayer(1U, 1U, 320U, get_weights_accessor(data_path, unit_path + "Conv2d_1x1_weights.npy", weights_layout), get_weights_accessor(data_path, unit_path + "Conv2d_1x1_biases.npy", weights_layout), @@ -592,7 +592,7 @@ private: .set_name(unit_name + "Conv2d_1x1/convolution") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 0.17f, 0.f)).set_name(unit_name + "mul"); - graph << BranchLayer(BranchMergeMethod::ADD, std::move(i_l), std::move(i_r)).set_name(unit_name + "add") + graph << EltwiseLayer(std::move(i_l), std::move(i_r), EltwiseOperation::Add).set_name(unit_name + "add") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "Relu"); } } @@ -668,7 +668,7 @@ private: << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "Branch_1/Conv2d_0c_7x1/Relu"); // Concatenate - i_l << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_la), std::move(i_lb)).set_name(unit_name + "concat") + i_l << ConcatLayer(std::move(i_la), std::move(i_lb)).set_name(unit_name + "concat") << ConvolutionLayer(1U, 1U, 1088U, get_weights_accessor(data_path, unit_path + "Conv2d_1x1_weights.npy", weights_layout), get_weights_accessor(data_path, unit_path + "Conv2d_1x1_biases.npy", weights_layout), @@ -676,7 +676,7 @@ private: .set_name(unit_name + "Conv2d_1x1/convolution") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 0.10f, 0.f)).set_name(unit_name + "mul"); - graph << BranchLayer(BranchMergeMethod::ADD, std::move(i_l), std::move(i_r)).set_name(unit_name + "add") + graph << EltwiseLayer(std::move(i_l), std::move(i_r), EltwiseOperation::Add).set_name(unit_name + "add") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "Relu"); } } @@ -760,7 +760,7 @@ private: << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "Branch_1/Conv2d_0c_3x1/Relu"); // Concatenate - i_l << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_la), std::move(i_lb)).set_name(unit_name + "concat") + i_l << ConcatLayer(std::move(i_la), std::move(i_lb)).set_name(unit_name + "concat") << ConvolutionLayer(1U, 1U, 2080U, get_weights_accessor(data_path, unit_path + "Conv2d_1x1_weights.npy", weights_layout), get_weights_accessor(data_path, unit_path + "Conv2d_1x1_biases.npy", weights_layout), @@ -774,7 +774,7 @@ private: } // Residual add - graph << BranchLayer(BranchMergeMethod::ADD, std::move(i_l), std::move(i_r)).set_name(unit_name + "add"); + graph << EltwiseLayer(std::move(i_l), std::move(i_r), EltwiseOperation::Add).set_name(unit_name + "add"); // Apply activation if needed if(has_activation) |