problem with knowledge when running inference

[paulfitz]

Thanks for the pretrained model! I was trying to run inference using python3 ./train.py --trained --do_infer, but get this error:

Traceback (most recent call last):
  File "./train.py", line 799, in <module>
    beam_size=1, show_table=False, show_answer_only=False
  File "./train.py", line 632, in infer
    beam_size=beam_size)
  File "/base/sqlova/model/nl2sql/wikisql_models.py", line 115, in beam_forward
    knowledge=knowledge, knowledge_header=knowledge_header)
  File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 477, in __call__
    result = self.forward(*input, **kwargs)
  File "/base/sqlova/model/nl2sql/wikisql_models.py", line 562, in forward
    knowledge = [k + (mL_n - len(k)) * [0] for k in knowledge]
TypeError: 'NoneType' object is not iterable

I've placed something in data_and_model/ctable.tables.jsonl and data_and_model/ctable.db. I've placed a ctable_knowledge.jsonl file in a few places, but I don't see how it would be read. What am I doing wrong?

[guotong1988]

One data should be：

{
	"table_id": "1-1000181-1",
	"phase": 1,
	"question": "Tell me what the notes are for South Australia ",
	"question_tok": ["Tell", "me", "what", "the", "notes", "are", "for", "South", "Australia"],
	"sql": {
		"sel": 5,
		"conds": [
			[3, 0, "SOUTH AUSTRALIA"]
		],
		"agg": 0
	},
	"query": {
		"sel": 5,
		"conds": [
			[3, 0, "SOUTH AUSTRALIA"]
		],
		"agg": 0
	},
	"wvi_corenlp": [
		[7, 8]
	],
	"bertindex_knowledge": [0, 0, 0, 0, 4, 0, 0, 1, 3],
	"header_knowledge": [2, 0, 0, 2, 0, 1]
}

[guotong1988]

I have upload the data https://github.com/guotong1988/NL2SQL-BERT/tree/master/data_and_model

[guotong1988]

But def infer API is not ready, you should refer to def test to edit def infer .