[GitHub] [incubator-tvm] anijain2305 commented on pull request #6115: [Topi, x86] Using MKL blas for quantized dense

anijain2305 commented on pull request #6115: URL: https://github.com/apache/incubator-tvm/pull/6115#issuecomment-664808714 This is an automated message from the Apache Git Service. To respond to the message, please log on to G

[GitHub] [incubator-tvm] anijain2305 commented on pull request #6115: [Topi, x86] Using MKL blas for quantized dense

anijain2305 commented on pull request #6115: URL: https://github.com/apache/incubator-tvm/pull/6115#issuecomment-663631764 @icemelon9 Can you please manage this PR? This is an automated message from the Apache Git Service. To

[GitHub] [incubator-tvm] anijain2305 commented on pull request #6115: [Topi, x86] Using MKL blas for quantized dense

anijain2305 commented on pull request #6115: URL: https://github.com/apache/incubator-tvm/pull/6115#issuecomment-663128946 @TaoLv Good point, I added the latency numbers for TVM alone. Thanks for pointing it out! This is an

[GitHub] [incubator-tvm] anijain2305 commented on pull request #6115: [Topi, x86] Using MKL blas for quantized dense

anijain2305 commented on pull request #6115: URL: https://github.com/apache/incubator-tvm/pull/6115#issuecomment-662819127 @eric-haibin-lin Yes, the MXNet+MKLDNN baseline is also in `int8`. This is an automated message from t