> > **Covered frameworks for now** - TFLite and MxNet > > **Target network for now** - Inception V3 from TFLite. (I will create one > > for Mxnet) > > **Target platforms for now** - ARM and Intel (will create separate Issue as > > the project progresses) > > A quick question here since I can't see this mentioned on #3591 > > Is this network going to be quantized per tensor as well as the new > per-channel quantization that is appearing in tflite 2.0 ? IIUC, tf1.13 has > per tensor quantization rather than the per channel quantization. i.e. more > interestingly can the relay design support both ? > > https://www.tensorflow.org/lite/performance/quantization_spec?source=post_page---------------------------#per-axis_vs_per-tensor > > regards > Ramana > > regards > Ramana
Good question. We have only supported TF1.13 quantization. TF2.0 has separate scale and doesn't be considered in previous discussion. Seems there is a gap here. cc @anijain2305 -- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/2351#issuecomment-516232910
