ristretto-users

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Hi to all! I have setup ristretto according guidelines for cpu only use. Everything is ok but when i

have you solved this problem? 在2018年8月15日星期三 UTC+8 上午9:15:36<ranga....@gmail.com> 写道： Can

hello，have you figured out how to quantize caffe-ssd using ristretto? 在2018年10月27日星期六 UTC+8 下午10:11:

hi there, i am curious why ristretto didn't quantize BN layer and scale layer, or there is no

Can you help me? I couldn't find the file "quantized.prototxt" in the link you posted.

Hey all I want to execute the .sh file for quantizing the squeezenet model. I've used "make

Hi all, I wanna execute the file "00_quantized_squeezenet.sh", but I can not find the file

Hello, But how to change the bit-width for Minifloat and integer-power-of-two? I have tried to change

Hi Farima, Can you please provide information on how you created the lmdb for training and test

I just provide my answers according to my knowledge. 1、 Quantization is just converting the origin

Thank you very much for your advice. Everything runs OK when I remove '--gpu=0' from the

Hello. I ran the make all, make test and make runtest, all exited perfectly. I tried going through

Hello, Have you succeeded?How did you merge ristretto into your caffe? Thank you. Teemo

Hello, Philipp, I have reviewed this talk and made several modification in source code, I saw that

Hi all, I want to read the quantized weights with python but I am not able to do it since the weights

Hi Philipp, why do you quantize on the fly instead of doiing it when the layer is loaded?

Hi, From SqueezeNet Example: Replace 32-bit FP multiplications by 8-bit fixed point, at an absolute

Hey, The actual bandwidth (or memory footprint of a parameter) is bw_out bits. For example, if

Hello everyone, I am new to deep learning and ristretto. I am trying to implement the LeNet

"--gpu=0" means "Use GPU #0" not "Do not use GPU (CPU only)". So you

I am making an experiment. I quantized a model. It gives me quantized.prototxt file. It has an extra

Hi Philipp, I'm trying to train a simple residual learning based loop filter (LF) using Caffe_DFP

Hello Philip, I noticed that you're very active in responding to people's help cries, which

Hi fixed the problem and it because fc1000 layer missed. now can see I0511 10:34:16.495659 26931

Hi Philipp, the average pooling layer is already implemented on FPGA. I just wanted to have a fixed

Thanks for your question, sorry for the later response. Yes, you can quantize YOLO V2 with Ristretto.

Thank you. : )

Hi Sean, Thanks this sounds great! I'll look at the pull request asap. It's definitely a good

That's an interesting question. Ristretto won't do this directly for you. You'll have to