harishprabhala

Hi, I recently bought a 1950X and I am trying to train a dataset on just the CPU, with tensorflow. When I compare it with my MacBook core i7 8th...

``` import zipfile import urllib.request as urllib url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip' filehandle, _ = urllib.urlretrieve(url) zip_file_object = zipfile.ZipFile(filehandle, 'r') filename = zip_file_object.namelist()[0] bytes_data = zip_file_object.open(filename).read() import pandas as pd from io...

Hey @StrikerRUS did you get a chance to reproduce the issue?

> Hi @philschmid. There's another open source inference acceleration library called voltaML, which gives support for T4. Please check it out https://github.com/VoltaML/voltaML

Any plans to add T5 support for the convert command in the near future?

> This problem has been solved，But thank you for your reply > […](#) > ------------------ 原始邮件 ------------------ 发件人: "ELS-RD/transformer-deploy" ***@***.***>; 发送时间: 2022年2月15日(星期二) 晚上6:15 ***@***.***>; ***@***.******@***.***>; 主题: Re: [ELS-RD/transformer-deploy] How does the local model generate...

Updated to docker v0.2. Please test

We'll create a documentation page soon. Thanks

> I assume it has to do with the fact Automatic1111 has become the unofficial face of stable diffusion. Things that aren't integrated there tend to get forgotten or dropped....

So you're getting the same outputs for 1.5 and 2.1 with TRT? voltaML doesn't have TRT support yet.