COMPMID-1595 Add UpsampleLayer to graph API
Change-Id: I7427b0fbb222ff9760d47b01a59aee654f2f860f
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/149587
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 7f5093a..32ef0aa 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -911,6 +911,47 @@
return std::move(func);
}
+/** Create a backend Upsample layer function
+ *
+ * @tparam UpsampleLayerFunction Backend Upsample function
+ * @tparam TargetInfo Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ * @param[in] ctx Graph context
+ *
+ * @return Backend Upsample layer function
+ */
+template <typename UpsampleLayerFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_upsample_layer(UpsampleLayerNode &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));
+ const Size2D info = node.info();
+ const InterpolationPolicy upsampling_policy = node.upsampling_policy();
+ ARM_COMPUTE_ERROR_ON(upsampling_policy != InterpolationPolicy::NEAREST_NEIGHBOR);
+ ARM_COMPUTE_ERROR_ON(info.x() != 2 || info.y() != 2);
+ ARM_COMPUTE_ERROR_ON(input == nullptr);
+ ARM_COMPUTE_ERROR_ON(output == nullptr);
+
+ // Create and configure function
+ auto func = support::cpp14::make_unique<UpsampleLayerFunction>();
+ func->configure(input, output, info, upsampling_policy);
+
+ // Log info
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type()
+ << " Target " << TargetInfo::TargetType
+ << " Data Type: " << input->info()->data_type()
+ << " Input shape: " << input->info()->tensor_shape()
+ << " Output shape: " << output->info()->tensor_shape()
+ << " Strides: " << info
+ << " Upsampling policy: " << upsampling_policy
+ << std::endl);
+
+ return std::move(func);
+}
/** Create a backend YOLO layer function
*
* @tparam YoloLayerFunction Backend YOLO function