From 4e1c3f336133319cfe45b037befdb252ffd9b744 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Thu, 20 Sep 2018 17:14:03 +0100 Subject: COMPMID-1595 Add UpsampleLayer to graph API Change-Id: I7427b0fbb222ff9760d47b01a59aee654f2f860f Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/149587 Tested-by: bsgcomp Reviewed-by: Georgios Pinitas --- arm_compute/graph/backends/FunctionHelpers.h | 41 ++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) (limited to 'arm_compute/graph/backends/FunctionHelpers.h') diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 7f5093aa24..32ef0aaf13 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -911,6 +911,47 @@ std::unique_ptr create_softmax_layer(SoftmaxLayerNode &node, GraphCon 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 +std::unique_ptr create_upsample_layer(UpsampleLayerNode &node, GraphContext &ctx) +{ + validate_node(node, 1 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input = get_backing_tensor(node.input(0)); + typename TargetInfo::TensorType *output = get_backing_tensor(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(); + 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 -- cgit v1.2.1