Add StridedSliceLayerNode to graph API

Signed-off-by: thecha01 <theo.charalambous@arm.com>
Change-Id: I6d6fb2b053c74e35a86841621486bc0cd34b12b3
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3911
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 43 insertions, 0 deletions

diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 570e981e98..5b0e7d174c 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -1673,6 +1673,49 @@ std::unique_ptr<arm_compute::IFunction> create_stack_layer(StackLayerNode &node)
 
     return RETURN_UNIQUE_PTR(func);
 }
+
+/** Create a backend slice layer function
+ *
+ * @tparam StridedSliceLayerFunction Backend strided slice function
+ * @tparam TargetInfo                Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ *
+ * @return Backend strided slice layer function
+ */
+template <typename StridedSliceLayerFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_strided_slice_layer(StridedSliceLayerNode &node)
+{
+    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));
+    Coordinates                      starts  = node.starts();
+    Coordinates                      ends    = node.ends();
+    BiStrides                        strides = node.strides();
+    StridedSliceLayerInfo            info    = node.strided_slice_info();
+
+    ARM_COMPUTE_ERROR_ON(input == nullptr);
+    ARM_COMPUTE_ERROR_ON(output == nullptr);
+
+    // Create and configure function
+    auto func = support::cpp14::make_unique<StridedSliceLayerFunction>();
+    func->configure(input, output, starts, ends, strides, info.begin_mask(), info.end_mask(), info.shrink_axis_mask());
+
+    // 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()
+                               << " Output shape: " << output->info()->tensor_shape()
+                               << std::endl);
+
+    return RETURN_UNIQUE_PTR(func);
+}
+
 /** Create a backend Upsample layer function
  *
  * @tparam UpsampleLayerFunction Backend Upsample function