anijain2305 opened a new pull request #7009: URL: https://github.com/apache/tvm/pull/7009
@kevinthesun @zhiics @giuseros TFLite prequantized Resent model was failing to compile. I found that the pad calculation introduce int64 datatype in the shape of max pool2d, that later causes issues with tensorization. Int64 was introduced because of the calculation between python int and np.int32, which results in np.int64. This PR ensures that all the padding calculations happen in python int. Additionally, I have added a small check to print i64 in AsText. This helped in identifying which op was introducing the int64 datatype. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
