Add Reduction operation layer node to graph API
Signed-off-by: thecha01 <theo.charalambous@arm.com>
Change-Id: Ida819fb8c33790cc9da6d69eeb51e0599269197a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3931
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index d8873c0..e8395e4 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -1478,6 +1478,50 @@
return RETURN_UNIQUE_PTR(func);
}
+/** Create a backend reduction operation layer function
+ *
+ * @tparam ReductionOperationFunction Backend reduction operation function
+ * @tparam TargetInfo Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ * @param[in] ctx Graph context
+ *
+ * @return Backend reduction sum layer function
+ */
+template <typename ReductionOperationFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_reduction_operation_layer(ReductionLayerNode &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));
+ ReductionOperation op = node.op();
+ int axis = node.axis();
+ bool keep_dims = node.keep_dims();
+ ARM_COMPUTE_ERROR_ON(input == nullptr);
+ ARM_COMPUTE_ERROR_ON(output == nullptr);
+
+ // Create and configure function
+ auto func = support::cpp14::make_unique<ReductionOperationFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
+ func->configure(input, output, axis, op, keep_dims);
+
+ // 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()
+ << " Operation: " << op
+ << " Axis: " << axis
+ << " Keep dimensions:" << keep_dims
+ << std::endl);
+
+ return RETURN_UNIQUE_PTR(func);
+}
+
/** Create a backend reorg layer function
*
* @tparam ReorgLayerFunction Backend reorg function