MKLDNN 0.17 release states that it supports int8 quantization (https://github.com/intel/mkl-dnn/releases). However, we run into the following issue when we comment out this line
mxnet.base.MXNetError: [15:57:38] src/operator/nn/mkldnn/mkldnn_convolution.cc:140: Check failed: conv_pd.next_impl() No implementation
To reach this, I had to comment out this line of code:
(https://github.com/apache/incubator-mxnet/blob/5111b187e3d8917d45a2482ceaf44b42588eff51/src/operator/subgraph/mkldnn/mkldnn_conv.cc#L346).
For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io
Description
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What to do:
1. Download the diagnosis script from https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
2. Run the script using `python diagnose.py` and paste its output here.
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- Pending
MKLDNN 0.17 release states that it supports int8 quantization (https://github.com/intel/mkl-dnn/releases). However, we run into the following issue when we comment out this line
To reach this, I had to comment out this line of code:
(https://github.com/apache/incubator-mxnet/blob/5111b187e3d8917d45a2482ceaf44b42588eff51/src/operator/subgraph/mkldnn/mkldnn_conv.cc#L346).
For Q & A and discussion, please start a discussion thread at https://discuss.mxnet.io
Description
(Brief description of the problem in no more than 2 sentences.)
Environment info (Required)
Package used (Python/R/Scala/Julia):
(I'm using ...)
For Scala user, please provide:
java -version)mvn -version)scala -version)For R user, please provide R
sessionInfo():Build info (Required if built from source)
Compiler (gcc/clang/mingw/visual studio):
MXNet commit hash:
(Paste the output of
git rev-parse HEADhere.)Build config:
(Paste the content of config.mk, or the build command.)
Error Message:
(Paste the complete error message, including stack trace.)
Minimum reproducible example
(If you are using your own code, please provide a short script that reproduces the error. Otherwise, please provide link to the existing example.)
Steps to reproduce
(Paste the commands you ran that produced the error.)