Nope, Pytorch was inspired by the Lua version of Torch which well predates Tensor flow. To be fair, basically every other DL framework made the same mistake though.
Also, tensorflow was a total nightmare to install while Pytorch was pretty straightforward, which definitely shouldn't be discounted.
> Also, tensorflow was a total nightmare to install while Pytorch was pretty straightforward, which definitely shouldn't be discounted.
I think this is a very important point, and I remember sweating blood trying to build a standalone tf environment (admittedly on windows) in the past. I'm impressed by how much simpler and smoother the process has recently become.
I do prefer Keras to Pytorch though - but thats just me
tensorflow was a total nightmare to install while Pytorch was pretty straightforward
Hat tip for this comment. On HN, I read some great commentary about "time to achieve first HTTP 200 with your REST API". Regarding installed software libraries, lower friction to achieve "Hello, World!" is important.
PyTorch examples were also cleaner. torchvision had ResNet training batteries included while TF had role your own or clone some weird Keras repository.
Also, tensorflow was a total nightmare to install while Pytorch was pretty straightforward, which definitely shouldn't be discounted.