Wilfred Kisku

@liuhao-97 I tried but it still did not work for me. Did you get a workaround to make sure that the accuracy does not drop?

@liuhao-97 yes the error has been removed after I removed pruning. Thank you.

@jmduarte models that have concatenate layer or add layers have a considerable accuracy drop. Might be a bug.

@jmduarte thank you for the reply. This is the synthesis report for a CNN model with ~14000 parameters given in the hls4ml tutorial repo. The model I have kept the...

What I am ending up with is an Unsupported layer type error. ``` Interpreting Model Topology: Layer name: input_1, layer type: Input --------------------------------------------------------------------------- Exception Traceback (most recent call last) Input...

Thank you @jmduarte for clarification, I am using the current version (v0.6.0). I also wanted to ask regarding the upper bound for a model to be usable for a board...

@MohamedA95 I am new to brevitas so is it that we need to train with the classical BN layers? If you could elaborate to a newbie such as me, as...

@MohamedA95 Thank you for the reply. Yes, the models that I am using requires `torch.nn.BatchNorm2d` layers. Can they also be fused with quantized layers? Thanks again.

@MohamedA95 Thanks for all the help. I have been able to understand the idea behind fusing the layers. What I have done now is create two models that are similar...