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author | thecha01 <theo.charalambous@arm.com> | 2020-09-01 14:52:38 +0100 |
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committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-09-09 08:58:13 +0000 |
commit | 3603aff36444e01083b93e603e8b9b0a254d4911 (patch) | |
tree | 2210c3bd8a76654072a2bfa7b84c9151cafc2eee /arm_compute/graph/backends/FunctionHelpers.h | |
parent | 57f30a9309ff2e5e3b32731a785bf38b01d1fd69 (diff) | |
download | ComputeLibrary-3603aff36444e01083b93e603e8b9b0a254d4911.tar.gz |
Add L2Normalize layer node to Graph API
Signed-off-by: thecha01 <theo.charalambous@arm.com>
Change-Id: I5cd26a8829060563d63d8c53e5148631ee053eca
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3912
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
-rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 05695fb797..d8873c0363 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -1089,6 +1089,50 @@ std::unique_ptr<IFunction> create_generate_proposals_layer(GenerateProposalsLaye return RETURN_UNIQUE_PTR(func); } +/** Create a backend l2 normalization layer function + * + * @tparam NormalizationLayerFunction Backend normalization function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * @param[in] ctx Graph context + * + * @return Backend normalization layer function + */ +template <typename L2NormalizeLayerFunction, typename TargetInfo> +std::unique_ptr<IFunction> create_l2_normalize_layer(L2NormalizeLayerNode &node, GraphContext &ctx) +{ + validate_node<TargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0)); + typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0)); + int axis = node.axis(); + float epsilon = node.epsilon(); + + ARM_COMPUTE_ERROR_ON(input == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr); + + // Create and configure function + auto mm = get_memory_manager(ctx, TargetInfo::TargetType); + auto func = support::cpp14::make_unique<L2NormalizeLayerFunction>(mm); + func->configure(input, output, axis, epsilon); + + // Log info + ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " + << node.name() + << " Type: " << node.type() + << " Target: " << TargetInfo::TargetType + << " Data Type: " << input->info()->data_type() + << " Input shape: " << input->info()->tensor_shape() + << " Output shape: " << output->info()->tensor_shape() + << " Axis: " << axis + << " Epsilon: " << epsilon + << std::endl); + + return RETURN_UNIQUE_PTR(func); +} + /** Create a backend normalization layer function * * @tparam NormalizationLayerFunction Backend normalization function |