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I have the result of tvm autotuning which I want to use for the inference of a resnet50 model. How ever when I run the inference with this result tuning file for choosing the best context, I get a JSON parse error -

    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 289 (char 288)

The line for which the error is being raise is the first line of the file -

{"input": ["cuda -keys=cuda,gpu -arch=sm_72 -max_num_threads=1024 -model=unknown -thread_warp_size=32", "dense_small_batch.gpu", [["TENSOR", [1, 2048], "float32"], ["TENSOR", [1000, 2048], "float32"], null, "float32"], {}], "config": {"index": 5, "code_hash": null, "entity": [["tile_k", "sp", [-1, 32]]]}, "result": [[0.00013503773753462605], 0, 3.5121700763702393, 1656911006.6791778], "version": 0.2, "tvm_version": "0.9.dev0"}

The error seems to be between ["tile_k", "sp"..], but the JSON string looks fine to me. Could someone please help me understand what the error is? Also, I have some 15000 lines in the tuning file with similar strings, so is there a way to heal this error without manually adding some backlashes or something for every line?

sn710
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1 Answers1

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The error specifying line 1 column 289 put me off…the actual error was in the last line of the log which was filled partially, not sure why. Just removing this partial line fixed the issue

sn710
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