Mousius commented on code in PR #12789:
URL: https://github.com/apache/tvm/pull/12789#discussion_r1029766343
##########
python/tvm/micro/model_library_format.py:
##########
@@ -277,6 +301,32 @@ def _create_empty_entry(target_device_type):
main_func_metadata.io_sizes[target]
)
+ # Now, we also add the information about the size of each input and
output of the main
+ # function (in bytes)
+ input_dict = {}
+ for input_param in main_func_metadata.relay_primfuncs[target].params:
+ input_dict[input_param.name_hint] =
_create_type_metadata(input_param.checked_type)
+ target_main_entries[int(target.get_target_device_type())]["inputs"] =
input_dict
+
+ output_dict = {}
+ # For output, we dont have the name of the output, so we enumerate them
+ if isinstance(main_func_metadata.relay_primfuncs[target].ret_type,
tvm.ir.type.TupleType):
+ output_list = _convert_tuple_to_outputs(
+ main_func_metadata.relay_primfuncs[target].ret_type
+ )
+ for i, output_type in enumerate(output_list):
+ if hasattr(output_type, "shape"):
+ output_dict[f"output{i}"] =
_create_type_metadata(output_type)
+ else:
+ output_dict[f"output{i}"] = {"size": 0, "dtype": ""}
+ else:
+ output_type = main_func_metadata.relay_primfuncs[target].ret_type
+ if hasattr(output_type, "shape"):
+ output_dict["output"] = _create_type_metadata(output_type)
+ else:
+ output_dict["output"] = {"size": 0, "dtype": ""}
Review Comment:
Is there a case where this happens? I can't see it in the test cases
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