Update default C++ standard to C++14
(3RDPARTY_UPDATE)
Resolves: COMPMID-3849
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I6369f112337310140e2d6c8e79630cd11138dfa0
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4544
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@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 e2904af..05bd483 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -113,7 +113,7 @@
const ActivationLayerInfo act_info = node.activation_info();
// Create function
- auto func = support::cpp14::make_unique<ActivationLayerFunction>();
+ auto func = std::make_unique<ActivationLayerFunction>();
func->configure(input, output, act_info);
ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
@@ -152,7 +152,7 @@
unsigned int axis = node.axis();
// Create function
- auto func = support::cpp14::make_unique<ArgMinMaxLayerFunction>();
+ auto func = std::make_unique<ArgMinMaxLayerFunction>();
func->configure(input, axis, output, op);
ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
@@ -194,7 +194,7 @@
const ActivationLayerInfo fused_act = node.fused_activation();
// Create and configure function
- auto func = support::cpp14::make_unique<BatchNormalizationLayerFunction>();
+ auto func = std::make_unique<BatchNormalizationLayerFunction>();
func->configure(input, output, mean, var, beta, gamma, epsilon, fused_act);
// Log info
@@ -346,7 +346,7 @@
const BoundingBoxTransformInfo bbox_info = node.info();
// Create and configure function
- auto func = support::cpp14::make_unique<BoundingBoxTransformLayerFunction>();
+ auto func = std::make_unique<BoundingBoxTransformLayerFunction>();
func->configure(input, output, deltas, bbox_info);
// Log info
@@ -383,7 +383,7 @@
const unsigned int num_groups = node.num_groups();
// Create function
- auto func = support::cpp14::make_unique<ChannelShuffleLayerFunction>();
+ auto func = std::make_unique<ChannelShuffleLayerFunction>();
func->configure(input, output, num_groups);
ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
@@ -430,7 +430,7 @@
const size_t concat_axis = get_dimension_idx(data_layout, node.concatenation_axis());
// Create and configure function
- auto func = support::cpp14::make_unique<ConcatenateLayerFunction>();
+ auto func = std::make_unique<ConcatenateLayerFunction>();
func->configure(inputs, output, concat_axis);
// Log info
@@ -673,7 +673,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<DepthToSpaceLayerFunction>();
+ auto func = std::make_unique<DepthToSpaceLayerFunction>();
func->configure(input, output, node.block_shape());
// Log info
@@ -712,7 +712,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<DequantizationLayerFunction>();
+ auto func = std::make_unique<DequantizationLayerFunction>();
func->configure(input, output);
// Log info
@@ -755,7 +755,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<DetectionOutputLayerFunction>();
+ auto func = std::make_unique<DetectionOutputLayerFunction>();
func->configure(input0, input1, input2, output, detect_info);
// Log info
@@ -807,7 +807,7 @@
ARM_COMPUTE_ERROR_ON(output3 == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<DetectionPostProcessLayerFunction>();
+ auto func = std::make_unique<DetectionPostProcessLayerFunction>();
func->configure(input0, input1, input2, output0, output1, output2, output3, detect_info);
// Log info
@@ -968,7 +968,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<FlattenLayerFunction>();
+ auto func = std::make_unique<FlattenLayerFunction>();
func->configure(input, output);
// Log info
@@ -1013,7 +1013,7 @@
// Create and configure function
auto wm = get_weights_manager(ctx, TargetInfo::TargetType);
auto mm = get_memory_manager(ctx, TargetInfo::TargetType);
- auto func = support::cpp14::make_unique<FullyConnectedLayerFunction>(mm, wm.get());
+ auto func = std::make_unique<FullyConnectedLayerFunction>(mm, wm.get());
func->configure(input, weights, biases, output, fc_info);
const bool is_quantized = is_data_type_quantized_asymmetric(input->info()->data_type());
@@ -1071,7 +1071,7 @@
ARM_COMPUTE_ERROR_ON(scores_out == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<GenerateProposalsLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
+ auto func = std::make_unique<GenerateProposalsLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
func->configure(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, info);
// Log info
@@ -1115,7 +1115,7 @@
// Create and configure function
auto mm = get_memory_manager(ctx, TargetInfo::TargetType);
- auto func = support::cpp14::make_unique<L2NormalizeLayerFunction>(mm);
+ auto func = std::make_unique<L2NormalizeLayerFunction>(mm);
func->configure(input, output, axis, epsilon);
// Log info
@@ -1158,7 +1158,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<NormalizationLayerFunction>();
+ auto func = std::make_unique<NormalizationLayerFunction>();
func->configure(input, output, norm_info);
// Log info
@@ -1200,7 +1200,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<NormalizePlanarYUVLayerFunction>();
+ auto func = std::make_unique<NormalizePlanarYUVLayerFunction>();
func->configure(input, output, mean, std);
// Log info
@@ -1238,7 +1238,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<PadLayerFunction>();
+ auto func = std::make_unique<PadLayerFunction>();
func->configure(input, output, padding, pad_value);
// Log info
@@ -1276,7 +1276,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<PermuteLayerFunction>();
+ auto func = std::make_unique<PermuteLayerFunction>();
func->configure(input, output, perm);
// Log info
@@ -1315,7 +1315,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<PoolingLayerFunction>();
+ auto func = std::make_unique<PoolingLayerFunction>();
func->configure(input, output, pool_info);
// Log info
@@ -1354,7 +1354,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<PReluFunction>();
+ auto func = std::make_unique<PReluFunction>();
func->configure(input, alpha, output);
// Log info
@@ -1423,7 +1423,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<PriorBoxLayerFunction>();
+ auto func = std::make_unique<PriorBoxLayerFunction>();
func->configure(input0, input1, output, prior_info);
// Log info
@@ -1462,7 +1462,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<QuantizationLayerFunction>();
+ auto func = std::make_unique<QuantizationLayerFunction>();
func->configure(input, output);
// Log info
@@ -1503,7 +1503,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<ReductionOperationFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
+ auto func = std::make_unique<ReductionOperationFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
func->configure(input, output, axis, op, keep_dims);
// Log info
@@ -1543,7 +1543,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<ReorgLayerFunction>();
+ auto func = std::make_unique<ReorgLayerFunction>();
func->configure(input, output, node.stride());
// Log info
@@ -1580,7 +1580,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<ReshapeLayerFunction>();
+ auto func = std::make_unique<ReshapeLayerFunction>();
func->configure(input, output);
// Log info
@@ -1618,7 +1618,7 @@
const InterpolationPolicy policy = node.policy();
// Create and configure function
- auto func = support::cpp14::make_unique<ResizeLayerFunction>();
+ auto func = std::make_unique<ResizeLayerFunction>();
func->configure(input, output, ScaleKernelInfo{ policy, BorderMode::CONSTANT });
// Log info
@@ -1660,7 +1660,7 @@
const ROIPoolingLayerInfo pool_info = node.pooling_info();
// Create and configure function
- auto func = support::cpp14::make_unique<ROIAlignLayerFunction>();
+ auto func = std::make_unique<ROIAlignLayerFunction>();
func->configure(input, rois, output, pool_info);
@@ -1701,7 +1701,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<SliceLayerFunction>();
+ auto func = std::make_unique<SliceLayerFunction>();
func->configure(input, output, node.starts(), node.ends());
// Log info
@@ -1740,7 +1740,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<SoftmaxLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
+ auto func = std::make_unique<SoftmaxLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
func->configure(input, output, beta);
// Log info
@@ -1781,7 +1781,7 @@
const int axis = node.axis();
// Create and configure function
- auto func = support::cpp14::make_unique<StackLayerFunction>();
+ auto func = std::make_unique<StackLayerFunction>();
func->configure(inputs, axis, output);
// Log info
@@ -1825,7 +1825,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<StridedSliceLayerFunction>();
+ auto func = std::make_unique<StridedSliceLayerFunction>();
func->configure(input, output, starts, ends, strides, info.begin_mask(), info.end_mask(), info.shrink_axis_mask());
// Log info
@@ -1868,7 +1868,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<UpsampleLayerFunction>();
+ auto func = std::make_unique<UpsampleLayerFunction>();
func->configure(input, output, info, upsampling_policy);
// Log info
@@ -1911,7 +1911,7 @@
ARM_COMPUTE_ERROR_ON(output == nullptr);
// Create and configure function
- auto func = support::cpp14::make_unique<YOLOlayerFunction>();
+ auto func = std::make_unique<YOLOlayerFunction>();
func->configure(input, output, act_info, num_classes);
// Log info