aidge_core/__init__.py

@@ -7,8 +7,10 @@ http://www.eclipse.org/legal/epl-2.0.
 
 SPDX-License-Identifier: EPL-2.0
 """
-from .aidge_core import * # import so generated by PyBind
-from .export_utils import ExportNode, generate_file, generate_str
-from .aidge_export_aidge import *
-from . import utils
+from aidge_core.aidge_core import * # import so generated by PyBind
+import aidge_core.export_utils
+import aidge_core.utils
+from aidge_core.aidge_export_aidge import serialize_to_cpp
+from aidge_core.show_graphview import gview_to_json
+from aidge_core.mem_info import *
 from ._version import *

aidge_core/aidge_export_aidge/__init__.py

@@ -5,4 +5,4 @@ FILE = Path(__file__).resolve()
 ROOT_EXPORT = FILE.parents[0]
 
 from .operator_export import *
-from .export import export
+from .export import serialize_to_cpp

aidge_core/aidge_export_aidge/export.py

@@ -2,15 +2,14 @@ import aidge_core
 import shutil
 import os
 from pathlib import Path
-from .utils import supported_operators, OPERATORS_REGISTRY
-from . import ROOT_EXPORT
-
-
-from aidge_core import ExportNode, generate_file
 
+import aidge_core.export_utils
+from . import ROOT_EXPORT
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
 
+from aidge_core.export_utils  import generate_file
 
-def export(export_folder: str,
+def serialize_to_cpp(export_folder: str,
            graph_view: aidge_core.GraphView,
            enable_python_binding: bool = True,
            ):
@@ -59,7 +58,6 @@ def export(export_folder: str,
     open_nodes = list(graph_view.get_input_nodes())
     # List of Aidge nodes already explored
     closed_nodes = []
-
     while open_nodes:
         node = open_nodes.pop(0)
         if node in closed_nodes:
@@ -80,24 +78,34 @@ def export(export_folder: str,
             continue
         # Next nodes to treat are children of current node
         open_nodes += list(node.get_children())
-
-        if node.type() in supported_operators():
-            list_operators.append(node.type())
-            op = OPERATORS_REGISTRY[node.type()](node)
-
-            # TODO: list_configs and list_actions don't need to be passed by argument
-            # Export the configuration
-            list_configs = op.export(export_folder_path, list_configs)
-
-            # Add forward kernel
-            list_actions = op.forward(list_actions)
-        else:
-            raise RuntimeError(f"Operator: {node.type()} is not supported")
+        node.get_operator().set_backend(ExportSerialize._name)
+        op_impl = node.get_operator().get_impl()
+        if op_impl is None:
+            raise RuntimeError(f"Operator {node.name()}[{node.type()}] doesn't have an implementation.")
+        if not isinstance(op_impl, ExportSerialize):
+            raise RuntimeError(f"Operator {node.name()}[{node.type()}] doesn't have an exportable backend ({op_impl}).")
+        required_specs = op_impl.get_required_spec()
+        specs = op_impl.get_best_match(required_specs)
+        export_node = op_impl.get_export_node(specs)
+        if export_node is None:
+            raise RuntimeError(f"Could not find export node for {node.name()}[{node.type()}].")
+        op = export_node(
+            node, None)
+
+
+        # set_operator.add(node.type())
+
+        # TODO: list_configs and list_actions don't need to be passed by argument
+        # Export the configuration
+        list_configs += op.export(export_folder_path)
+
+        # Add forward kernel
+        list_actions += op.forward()
         closed_nodes.append(node)
     list_operators = list(dict.fromkeys(list_operators)) # make unique
 
     # Generate full dnn.cpp
-    aidge_core.generate_file(
+    aidge_core.export_utils.generate_file(
         export_folder_path / "src/dnn.cpp",
         ROOT_EXPORT / "templates/dnn.jinja",
         headers=list_configs,

aidge_core/aidge_export_aidge/operator_export/add.py

+from aidge_core.aidge_export_aidge.registry import ExportSerialize
+from aidge_core.aidge_export_aidge import ROOT_EXPORT
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
+
+@ExportSerialize.register("Add", ImplSpec(IOSpec(dtype.any)))
+class Add(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = ""
+        self.forward_template = str(
+            ROOT_EXPORT / "templates/graph_ctor/add.jinja")
+        self.include_list = ["aidge/operator/Add.hpp"]
+        self.kernels_to_copy = []

aidge_core/aidge_export_aidge/operator_export/conv.py

-from aidge_core.aidge_export_aidge.utils import operator_register, parse_node_input
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
 from aidge_core.aidge_export_aidge import ROOT_EXPORT
-from aidge_core import ExportNode, generate_file, generate_str
-from pathlib import Path
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
 
-@operator_register("Conv")
-class Conv(ExportNode):
-    def __init__(self, node):
-        super().__init__(node)
-
-    def export(self, export_folder:Path, list_configs:list):
-        include_path = f"attributes/{self.name}.hpp"
-        filepath = export_folder / f"include/{include_path}"
-
-        generate_file(
-            filepath,
-            ROOT_EXPORT / "templates/attributes/conv.jinja",
-            name=self.name,
-            **self.attributes
-        )
-        list_configs.append(include_path)
-        return list_configs
-
-    def forward(self, list_actions:list):
-        list_actions.append(generate_str(
-            ROOT_EXPORT /"templates/graph_ctor/conv.jinja",
-            name=self.name,
-            inputs=parse_node_input(self.node.inputs()),
-            **self.attributes
-        ))
-        return list_actions
+@ExportSerialize.register(["Conv1D", "Conv2D"], ImplSpec(IOSpec(dtype.any)))
+class Conv(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = str(
+            ROOT_EXPORT / "templates/attributes/conv.jinja")
+        self.forward_template = str(
+            ROOT_EXPORT /"templates/graph_ctor/conv.jinja")
+        self.include_list = ["aidge/operator/Conv.hpp"]
+        self.kernels_to_copy = []
+        self.config_path = "include/attributes"
+        self.config_extension = "hpp"

aidge_core/aidge_export_aidge/operator_export/conv_depth_wise.py

+from aidge_core.aidge_export_aidge.registry import ExportSerialize
+from aidge_core.aidge_export_aidge import ROOT_EXPORT
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
+
+@ExportSerialize.register(["ConvDepthWise1D", "ConvDepthWise2D"], ImplSpec(IOSpec(dtype.any)))
+class ConvDepthWise(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = str(
+            ROOT_EXPORT / "templates/attributes/conv_depth_wise.jinja")
+        self.forward_template = str(
+            ROOT_EXPORT /"templates/graph_ctor/conv_depth_wise.jinja")
+        self.include_list = ["aidge/operator/ConvDepthWise.hpp"]
+        self.kernels_to_copy = []
+        self.config_path = "include/attributes"
+        self.config_extension = "hpp"

aidge_core/aidge_export_aidge/operator_export/fc.py

-from aidge_core.aidge_export_aidge.utils import operator_register,parse_node_input
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
 from aidge_core.aidge_export_aidge import ROOT_EXPORT
-from aidge_core import ExportNode, generate_file, generate_str
-from pathlib import Path
-
-@operator_register("FC")
-class FC(ExportNode):
-    def __init__(self, node):
-        super().__init__(node)
-
-
-    def export(self, export_folder:Path, list_configs:list):
-
-
-        include_path = f"attributes/{self.name}.hpp"
-        filepath = export_folder / f"include/{include_path}"
-
-
-        generate_file(
-            filepath,
-            ROOT_EXPORT / "templates/attributes/fc.jinja",
-            name=self.name,
-            InChannels=self.inputs_dims[1][1],
-            OutChannels=self.operator.out_channels(),
-            **self.attributes
-        )
-        list_configs.append(include_path)
-        return list_configs
-
-    def forward(self, list_actions:list):
-        list_actions.append(generate_str(
-            ROOT_EXPORT / "templates/graph_ctor/fc.jinja",
-            name=self.name,
-            inputs=parse_node_input(self.node.inputs()),
-            **self.attributes
-        ))
-        return list_actions
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
+
+
+@ExportSerialize.register("FC", ImplSpec(IOSpec(dtype.any)))
+class FC(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = str(
+            ROOT_EXPORT / "templates/attributes/fc.jinja")
+        self.forward_template = str(
+            ROOT_EXPORT / "templates/graph_ctor/fc.jinja")
+        self.include_list = ["aidge/operator/FC.hpp"]
+        self.kernels_to_copy = []
+        self.config_path = "include/attributes"
+        self.config_extension = "hpp"

aidge_core/aidge_export_aidge/operator_export/maxpooling.py

-from aidge_core.aidge_export_aidge.utils import operator_register, parse_node_input
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
 from aidge_core.aidge_export_aidge import ROOT_EXPORT
-from aidge_core import ExportNode, generate_file, generate_str
-from pathlib import Path
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
 
-@operator_register("MaxPooling")
-class MaxPooling(ExportNode):
-    def __init__(self, node):
-        super().__init__(node)
-
-
-    def export(self, export_folder:Path, list_configs:list):
-        include_path = f"attributes/{self.name}.hpp"
-        filepath = export_folder / f"include/{include_path}"
-
-        generate_file(
-            filepath,
-            ROOT_EXPORT / "templates/attributes/maxpooling.jinja",
-            name=self.name,
-            **self.attributes
-        )
-        list_configs.append(include_path)
-        return list_configs
-
-    def forward(self, list_actions:list):
-        list_actions.append(generate_str(
-            ROOT_EXPORT / "templates/graph_ctor/maxpooling.jinja",
-            name=self.name,
-            inputs=parse_node_input(self.node.inputs()),
-            **self.attributes
-        ))
-        return list_actions
+@ExportSerialize.register(["MaxPooling1D", "MaxPooling2D", "MaxPooling3D"], ImplSpec(IOSpec(dtype.any)))
+class MaxPooling(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = str(
+            ROOT_EXPORT / "templates/attributes/maxpooling.jinja")
+        self.forward_template = str(
+            ROOT_EXPORT / "templates/graph_ctor/maxpooling.jinja")
+        self.include_list = ["aidge/operator/MaxPooling.hpp"]
+        self.kernels_to_copy = []
+        self.config_path = "include/attributes"
+        self.config_extension = "hpp"

aidge_core/aidge_export_aidge/operator_export/pad.py

+from aidge_core.aidge_export_aidge.registry import ExportSerialize
+from aidge_core.aidge_export_aidge import ROOT_EXPORT
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
+
+@ExportSerialize.register(["Pad1D", "Pad2D"], ImplSpec(IOSpec(dtype.any)))
+class Pad(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = str(
+            ROOT_EXPORT / "templates/attributes/pad.jinja")
+        self.forward_template = str(
+            ROOT_EXPORT /"templates/graph_ctor/pad.jinja")
+        self.include_list = ["aidge/operator/Pad.hpp"]
+        self.kernels_to_copy = []
+        self.config_path = "include/attributes"
+        self.config_extension = "hpp"

aidge_core/aidge_export_aidge/operator_export/producer.py

-from aidge_core.aidge_export_aidge.utils import operator_register
-from aidge_core.aidge_export_aidge import ROOT_EXPORT
-from aidge_core import dtype, ExportNode, generate_file, generate_str
 import numpy as np
-from pathlib import Path
-
-# Convert aidge datatype to C++ type
-datatype_converter = {
-    dtype.float64 : "double",
-    dtype.float32 : "float",
-    dtype.float16 : "half_float::half",
-    dtype.int8    : "int8_t",
-    dtype.int16   : "int16_t",
-    dtype.int32   : "int32_t",
-    dtype.int64   : "int64_t",
-    dtype.uint8   : "uint8_t",
-    dtype.uint16  : "uint16_t",
-    dtype.uint32  : "uint32_t",
-    dtype.uint64  : "uint64_t"
-}
 
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
+from aidge_core.aidge_export_aidge import ROOT_EXPORT
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
 
-@operator_register("Producer")
-class Producer(ExportNode):
+@ExportSerialize.register("Producer", ImplSpec(IOSpec(dtype.any)))
+class Producer(ExportNodeCpp):
     """
     If there is a standardization of the export operators
     then this class should be just a inheritance of ProducerCPP
     """
-    def __init__(self, node):
-        super().__init__(node)
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
         child, in_idx = self.node.output(0)[0]
-        self.tensor_name = f"{child.name()}_{in_idx}"
-        self.values = np.array(self.operator.get_output(0))
-
-    def export(self, export_folder:Path, list_configs:list):
-        assert(len(self.node.output(0)) == 1)
 
-        include_path = f"parameters/{self.tensor_name}.hpp"
-        filepath = export_folder / f"include/{include_path}"
+        self.values = np.array(self.operator.get_output(0))
 
-        aidge_tensor = self.operator.get_output(0)
-        aidge_type = aidge_tensor.dtype()
-        if aidge_type in datatype_converter:
-            datatype = datatype_converter[aidge_type]
-        else:
-            raise RuntimeError(f"No conversion found for data type {aidge_type}.")
-        generate_file(
-            filepath,
-            ROOT_EXPORT / "templates/parameter.jinja",
-            dims = aidge_tensor.dims(),
-            data_t = datatype, # TODO : get data from producer
-            name = self.tensor_name,
-            values = str(aidge_tensor)
-        )
-        list_configs.append(include_path)
-        return list_configs
+        self.config_template = str(
+            ROOT_EXPORT / "templates/parameter.jinja")
+        self.forward_template = str(
+            ROOT_EXPORT / "templates/graph_ctor/producer.jinja")
+        self.attributes["tensor_name"] = f"{child.name()}_{in_idx}"
+        self.attributes["values"] = str(self.operator.get_output(0))
+        self.include_list = ["aidge/operator/Producer.hpp"]
+        self.kernels_to_copy = []
+        self.config_path = "include/attributes"
+        self.config_extension = "hpp"
 
-    def forward(self, list_actions:list):
-        list_actions.append(generate_str(
-            ROOT_EXPORT / "templates/graph_ctor/producer.jinja",
-            name=self.name,
-            tensor_name=self.tensor_name,
-            **self.attributes
-        ))
-        return list_actions

aidge_core/aidge_export_aidge/operator_export/relu.py

-from aidge_core.aidge_export_aidge.utils import operator_register, parse_node_input
-from aidge_core import ExportNode, generate_str
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
 from aidge_core.aidge_export_aidge import ROOT_EXPORT
-from pathlib import Path
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
 
-@operator_register("ReLU")
-class ReLU(ExportNode):
-    def __init__(self, node):
-        super().__init__(node)
-
-    def export(self, export_folder:Path, list_configs:list):
-        return list_configs
-
-    def forward(self, list_actions:list):
-        list_actions.append(generate_str(
-            ROOT_EXPORT / "templates/graph_ctor/relu.jinja",
-            name=self.name,
-            inputs=parse_node_input(self.node.inputs()),
-            **self.attributes
-        ))
-        return list_actions
+@ExportSerialize.register("ReLU", ImplSpec(IOSpec(dtype.any)))
+class ReLU(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = ""
+        self.forward_template = str(
+            ROOT_EXPORT / "templates/graph_ctor/relu.jinja")
+        self.include_list = ["aidge/operator/ReLU.hpp"]
+        self.kernels_to_copy = []

aidge_core/aidge_export_aidge/operator_export/sub.py

-from aidge_core.aidge_export_aidge.utils import operator_register, parse_node_input
-from aidge_core import ExportNode, generate_str
+from aidge_core.aidge_export_aidge.registry import ExportSerialize
 from aidge_core.aidge_export_aidge import ROOT_EXPORT
-from pathlib import Path
+from aidge_core.export_utils import ExportNodeCpp
+from aidge_core import ImplSpec, IOSpec, dtype
 
-@operator_register("Sub")
-class Sub(ExportNode):
-    def __init__(self, node):
-        super().__init__(node)
-
-    def export(self, export_folder:Path, list_configs:list):
-        return list_configs
-
-    def forward(self, list_actions:list):
-        list_actions.append(generate_str(
-            ROOT_EXPORT / "templates/graph_ctor/sub.jinja",
-            name=self.name,
-            inputs=parse_node_input(self.node.inputs()),
-            **self.attributes
-        ))
-        return list_actions
+@ExportSerialize.register("Sub", ImplSpec(IOSpec(dtype.any)))
+class Sub(ExportNodeCpp):
+    def __init__(self, node, mem_info):
+        super().__init__(node, mem_info)
+        self.config_template = ""
+        self.forward_template = str(
+            ROOT_EXPORT / "templates/graph_ctor/sub.jinja")
+        self.include_list = ["aidge/operator/Sub.hpp"]
+        self.kernels_to_copy = []

aidge_core/aidge_export_aidge/registry.py

+from aidge_core.export_utils import ExportLib
+from . import ROOT_EXPORT
+import aidge_core
+
+
+class ExportSerialize(ExportLib):
+    _name="export_serialize"
+
+aidge_core.register_Tensor(["export_serialize", aidge_core.dtype.float32],
+                           aidge_core.get_key_value_Tensor(["cpu", aidge_core.dtype.float32]))

aidge_core/aidge_export_aidge/templates/attributes/conv.jinja

 #ifndef EXPORT_ATTRIBUTES_{{name|upper}}_H
 #define EXPORT_ATTRIBUTES_{{name|upper}}_H
 
-#define _{{name|upper}}_IN_CHANNELS  {{InChannels}}
-#define _{{name|upper}}_OUT_CHANNELS {{OutChannels}}
+#define _{{name|upper}}_IN_CHANNELS  {{in_chan[0]}}
+#define _{{name|upper}}_OUT_CHANNELS {{out_chan[0]}}
 
-{% for i in range(KernelDims|length) %}
-#define _{{name|upper}}_KERNEL_{{i}} {{KernelDims[i]}}
+{% for i in range(kernel_dims|length) %}
+#define _{{name|upper}}_KERNEL_{{i}} {{kernel_dims[i]}}
 {%- endfor %}
-{% for i in range(StrideDims|length) %}
-#define _{{name|upper}}_STRIDE_{{i}} {{StrideDims[i]}}
+{% for i in range(stride_dims|length) %}
+#define _{{name|upper}}_STRIDE_{{i}} {{stride_dims[i]}}
 {%- endfor %}
-{% for i in range(DilationDims|length) %}
-#define _{{name|upper}}_DILATION_{{i}} {{DilationDims[i]}}
+{% for i in range(dilation_dims|length) %}
+#define _{{name|upper}}_DILATION_{{i}} {{dilation_dims[i]}}
 {%- endfor %}
 
 #endif /* EXPORT_ATTRIBUTES_{{name|upper}}_H */

aidge_core/aidge_export_aidge/templates/attributes/conv_depth_wise.jinja

+#ifndef EXPORT_ATTRIBUTES_{{name|upper}}_H
+#define EXPORT_ATTRIBUTES_{{name|upper}}_H
+
+#define _{{name|upper}}_CHANNELS {{out_chan[0]}}
+
+{% for i in range(kernel_dims|length) %}
+#define _{{name|upper}}_KERNEL_{{i}} {{kernel_dims[i]}}
+{%- endfor %}
+{% for i in range(stride_dims|length) %}
+#define _{{name|upper}}_STRIDE_{{i}} {{stride_dims[i]}}
+{%- endfor %}
+{% for i in range(dilation_dims|length) %}
+#define _{{name|upper}}_DILATION_{{i}} {{dilation_dims[i]}}
+{%- endfor %}
+
+#endif /* EXPORT_ATTRIBUTES_{{name|upper}}_H */

aidge_core/aidge_export_aidge/templates/attributes/fc.jinja

 #ifndef EXPORT_ATTRIBUTES_{{name|upper}}_H
 #define EXPORT_ATTRIBUTES_{{name|upper}}_H
 
-#define _{{name|upper}}_IN_CHANNELS  {{InChannels}}
-#define _{{name|upper}}_OUT_CHANNELS {{OutChannels}}
+#define _{{name|upper}}_IN_CHANNELS  {{in_chan[0]}}
+#define _{{name|upper}}_OUT_CHANNELS {{out_chan[0]}}
 
 #endif /* EXPORT_ATTRIBUTES_{{name|upper}}_H */

aidge_core/aidge_export_aidge/templates/attributes/maxpooling.jinja

 #ifndef EXPORT_ATTRIBUTES_{{name|upper}}_H
 #define EXPORT_ATTRIBUTES_{{name|upper}}_H
 
-{% for i in range(KernelDims|length) %}
-#define _{{name|upper}}_KERNEL_{{i}} {{KernelDims[i]}}
+{% for i in range(kernel_dims|length) %}
+#define _{{name|upper}}_KERNEL_{{i}} {{kernel_dims[i]}}
 {%- endfor %}
-{% for i in range(StrideDims|length) %}
-#define _{{name|upper}}_STRIDE_{{i}} {{StrideDims[i]}}
+{% for i in range(stride_dims|length) %}
+#define _{{name|upper}}_STRIDE_{{i}} {{stride_dims[i]}}
 {%- endfor %}
 
-#define _{{name|upper}}_CEIL_MODE {{CeilMode|int}}
+#define _{{name|upper}}_CEIL_MODE {{ceil_mode|int}}
 
 #endif /* EXPORT_ATTRIBUTES_{{name|upper}}_H */

aidge_core/aidge_export_aidge/templates/attributes/pad.jinja

+#ifndef EXPORT_ATTRIBUTES_{{name|upper}}_H
+#define EXPORT_ATTRIBUTES_{{name|upper}}_H
+
+{%- set half_length = (begin_end_borders|length / 2)|int -%}
+{% for i in range(half_length) %}
+#define _{{name|upper}}_BEGIN_BORDERS_{{i}}  {{begin_end_borders[2*i]}}
+#define _{{name|upper}}_END_BORDERS_{{i}}  {{begin_end_borders[2*i+1]}}
+{%- endfor %}
+#define _{{name|upper}}_BORDER_TYPE {{border_type|int}}
+#define _{{name|upper}}_BORDER_VALUE {{border_value}}
+
+#endif /* EXPORT_ATTRIBUTES_{{name|upper}}_H */

aidge_core/aidge_export_aidge/templates/dnn.jinja

@@ -17,7 +17,7 @@
 
 /*** OPERATOR ATTRIBUTES & PARAMETERS ***/
 {%- for header in headers %}
-#include "{{ header }}"
+#include "{{ header | replace('include/', '') }}"
 {%- endfor %}
 
 /*** HEADER ***/

aidge_core/aidge_export_aidge/templates/graph_ctor/_set_input.jinja

 {# NOTE: Trying a shorter notation like {%- for input in inputs if input[0] %}
 will mess up loop.index as the input set up at None will not increment ! #}
-{%- for input in inputs %}
-{%- if input[0] %}
-{{input[0]}}->addChild({{name}}, {{input[1]}}, {{loop.index - 1}}); {# NOTE: loop.index begin at 1 #}
+{%- for input_node, out_id in node.inputs() %}
+{%- if input_node %}
+{{input_node.name()}}->addChild({{name}}, {{out_id}}, {{loop.index - 1}}); {# NOTE: loop.index begin at 1 #}
 {%- endif %}
 {%- endfor %}