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[tools/mec] Add metadata of output tensor to each node #14355

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[tools/mec] Add metadata of output tensor to each node #14355

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32 changes: 31 additions & 1 deletion tools/model_explorer_circle/src/circle_adapter/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,10 @@ def __init__(self):
}
# tensor_id -> node_id/output_id
self.map_tensor_to_source = {}
self.dict_tensor_type_to_string = {
v: k
for k, v in circle_schema.TensorType.__dict__.items()
}

def load_model(self, model_path: str) -> None:
"""Load the model from the given path."""
Expand Down Expand Up @@ -67,6 +71,26 @@ def add_incoming_edge(self, me_node: graph_builder.GraphNode, tensor_id: int,
sourceNodeOutputId=soid,
targetNodeInputId=f'{input_id}'))

def add_output_tensor_info(self,
me_node: graph_builder.GraphNode,
tensor_id: int,
output_id: int = 0) -> None:
"""Add the output metadata of the node."""
tensor = self.model.subgraphs[0].tensors[tensor_id]
# tensor_shape = 'type[shape]' (e.g. 'float32[1,2,3,4]')
tensor_shape = self.dict_tensor_type_to_string[tensor.type].lower()
tensor_shape += f'{tensor.shape.tolist()}'
tensor_name = tensor.name.decode('utf-8')
me_node.outputsMetadata.append(
graph_builder.MetadataItem(
id=f'{output_id}',
attrs=[
graph_builder.KeyValue(key='shape', value=tensor_shape),
graph_builder.KeyValue(key='tensor_index', value=f'{tensor_id}'),
graph_builder.KeyValue(key='tensor_name', value=tensor_name)
],
))

def build_graph(self, me_graph: graph_builder.Graph) -> None:
"""Build the graph using the model."""

Expand All @@ -79,9 +103,11 @@ def build_graph(self, me_graph: graph_builder.Graph) -> None:
namespace="GraphInputs")
me_graph.nodes.append(me_node)

# Map source and output tensors of GraphInputs
for i, tensor_id in enumerate(sub_graph.inputs):
# Map source and output tensors of GraphInputs
self.set_source_of(tensor_id=tensor_id, source_id=input_id, output_id=i)
# Add output metadata to the input node
self.add_output_tensor_info(me_node=me_node, tensor_id=tensor_id, output_id=i)

# Map source and output tensors of operators
for op_id, op in enumerate(sub_graph.operators):
Expand All @@ -99,6 +125,8 @@ def build_graph(self, me_graph: graph_builder.Graph) -> None:
self.set_source_of(tensor_id=tensor_id,
source_id=input_id + tensor_id,
output_id=0)
# Add output metadata to the pseudo const node
self.add_output_tensor_info(me_node=me_node, tensor_id=tensor_id)

# Create operator nodes
for idx, op in enumerate(sub_graph.operators):
Expand All @@ -114,6 +142,8 @@ def build_graph(self, me_graph: graph_builder.Graph) -> None:
ns = '/'.join(ns.strip('/').split('/')[:2])
me_node = graph_builder.GraphNode(id=f'{idx}', label=name, namespace=ns)
me_graph.nodes.append(me_node)
# Add output metadata to the operator node
self.add_output_tensor_info(me_node=me_node, tensor_id=output_tensor_id)
# Connect edges from inputs to this operator node
for i, tensor_id in enumerate(op.inputs):
if tensor_id < 0:
Expand Down