From 0a05e6a051e6d9028131de10f00b80bbedf44097 Mon Sep 17 00:00:00 2001 From: thecha01 Date: Fri, 28 Aug 2020 18:40:38 +0100 Subject: Add DepthToSpace layer node to Graph API Change-Id: I5db780fb9c94160130e9986bbfc739124bfa8041 Signed-off-by: thecha01 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3914 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio Comments-Addressed: Arm Jenkins --- arm_compute/graph/backends/FunctionHelpers.h | 39 ++++++++++++++++++++++++++++ 1 file changed, 39 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 60a03e67b0..570e981e98 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -614,6 +614,45 @@ std::unique_ptr create_depthwise_convolution_layer(DepthwiseConvoluti return RETURN_UNIQUE_PTR(func); } +/** Create a backend depth to space layer function + * + * @tparam DepthToSpaceLayerNode Function Backend depth to space function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * + * @return Backend depth to space layer function + */ +template +std::unique_ptr create_depth_to_space_layer(DepthToSpaceLayerNode &node) +{ + 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)); + + 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, node.block_shape()); + + // 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() + << " Block Size: " << node.block_shape() + << " Output shape: " << output->info()->tensor_shape() + << std::endl); + + return RETURN_UNIQUE_PTR(func); +} + /** Create a backend dequantize layer function * * @tparam DequantizationLayer Function Backend dequantize function -- cgit v1.2.1