Revert "COMPMID-1329: Add support for GenerateProposals operator in CL"

This reverts commit cd96a26f67bfbb9b0efe6e0e2b229d0b46b4e3e6.

Change-Id: I1d46f37095c94968ad4f3b781269adaa03e2e410
Signed-off-by: giuros01 <giuseppe.rossini@arm.com>
Reviewed-on: https://review.mlplatform.org/706
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 1 insertions, 50 deletions

diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 96adffee46..548afd27c5 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -688,55 +688,6 @@ std::unique_ptr<IFunction> create_fully_connected_layer(FullyConnectedLayerNode
     return std::move(func);
 }
 
-/** Create a backend generate proposals layer function
- *
- * @tparam GenerateProposalsLayerFunction Backend generate proposals function
- * @tparam TargetInfo                     Target-specific information
- *
- * @param[in] node Node to create the backend function for
- * @param[in] ctx  Graph context
- *
- * @return Backend generate proposals layer function
- */
-template <typename GenerateProposalsLayerFunction, typename TargetInfo>
-std::unique_ptr<IFunction> create_generate_proposals_layer(GenerateProposalsLayerNode &node, GraphContext &ctx)
-{
-    validate_node<TargetInfo>(node, 3 /* expected inputs */, 3 /* expected outputs */);
-
-    // Extract IO and info
-    typename TargetInfo::TensorType *scores              = get_backing_tensor<TargetInfo>(node.input(0));
-    typename TargetInfo::TensorType *deltas              = get_backing_tensor<TargetInfo>(node.input(1));
-    typename TargetInfo::TensorType *anchors             = get_backing_tensor<TargetInfo>(node.input(2));
-    typename TargetInfo::TensorType *proposals           = get_backing_tensor<TargetInfo>(node.output(0));
-    typename TargetInfo::TensorType *scores_out          = get_backing_tensor<TargetInfo>(node.output(1));
-    typename TargetInfo::TensorType *num_valid_proposals = get_backing_tensor<TargetInfo>(node.output(2));
-    const GenerateProposalsInfo      info                = node.info();
-
-    ARM_COMPUTE_ERROR_ON(scores == nullptr);
-    ARM_COMPUTE_ERROR_ON(deltas == nullptr);
-    ARM_COMPUTE_ERROR_ON(anchors == nullptr);
-    ARM_COMPUTE_ERROR_ON(proposals == nullptr);
-    ARM_COMPUTE_ERROR_ON(scores_out == nullptr);
-
-    // Create and configure function
-    auto func = support::cpp14::make_unique<GenerateProposalsLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
-    func->configure(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, info);
-
-    // Log info
-    ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type()
-                               << " Target " << TargetInfo::TargetType
-                               << " Data Type: " << scores->info()->data_type()
-                               << " Scores shape: " << scores->info()->tensor_shape()
-                               << " Deltas shape: " << deltas->info()->tensor_shape()
-                               << " Anchors shape: " << anchors->info()->tensor_shape()
-                               << " Proposals shape: " << proposals->info()->tensor_shape()
-                               << " Num valid proposals shape: " << num_valid_proposals->info()->tensor_shape()
-                               << " Scores Out shape: " << scores_out->info()->tensor_shape()
-                               << std::endl);
-
-    return std::move(func);
-}
-
 /** Create a backend normalization layer function
  *
  * @tparam NormalizationLayerFunction Backend normalization function