diff options
Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 43 |
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 |