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refactor: add support to outputs key in inference request inputs #3405

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refactor: add support to outputs key in inference request inputs #3405

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17 changes: 15 additions & 2 deletions ts/torch_handler/request_envelope/kservev2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,6 +113,14 @@ def _from_json(self, body_list):
)
input_names.append(input["name"])
setattr(self.context, "input_names", input_names)

output_names = []
for index, output in enumerate(body_list[0].get("outputs", [])):
output_names.append(output["name"])
# TODO: Add parameters support
# parameters = output.get("parameters")
setattr(self.context, "output_names", output_names)

logger.debug("Bytes array is %s", body_list)
id = body_list[0].get("id")
if id and id.strip():
Expand Down Expand Up @@ -167,10 +175,15 @@ def _batch_to_json(self, data):
Splits batch output to json objects
"""
output = []
input_names = getattr(self.context, "input_names")

output_names = getattr(self.context, "output_names")
delattr(self.context, "output_names")
if len(output_names) == 0:
# Re-use input names in case no output is specified
output_names = getattr(self.context, "input_names")
delattr(self.context, "input_names")
for index, item in enumerate(data):
output.append(self._to_json(item, input_names[index]))
output.append(self._to_json(item, output_names[index]))
return output

def _to_json(self, data, input_name):
Expand Down