diff options
| 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 /tests/benchmark/fixtures/BatchNormalizationLayerFixture.h | |
| 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 'tests/benchmark/fixtures/BatchNormalizationLayerFixture.h')
| -rw-r--r-- | tests/benchmark/fixtures/BatchNormalizationLayerFixture.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h b/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h index 38a3263203..a031ec6d96 100644 --- a/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h +++ b/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h @@ -40,7 +40,7 @@ class BatchNormalizationLayerFixture : public framework::Fixture { public: template <typename...> - void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, DataType data_type, int batches) + void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, ActivationLayerInfo act_info, DataType data_type, int batches) { // Set batched in source and destination shapes const unsigned int fixed_point_position = 4; @@ -55,7 +55,7 @@ public: gamma = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position); // Create and configure function - batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon); + batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon, act_info); // Allocate tensors src.allocator()->allocate(); |