Alexandr Kislinskiy Luonic

## gradient_adaptive_factor.py
import torch
import itertools


# Based on https://github.com/bfs18/tacotron2


def grads_for_params(loss, parameters, optimizer):
    optimizer.zero_grad()
    loss.backward(retain_graph=True)

## build-tensorflow-from-source.md

      
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                Brainiarc7
                / build-tensorflow-from-source.md
            
            
              Last active
              July 29, 2023 21:28
            
              
                Build Tensorflow from source, for better performance on Ubuntu.
              
          
    Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:
	import torch
	import itertools


	# Based on https://github.com/bfs18/tacotron2


	def grads_for_params(loss, parameters, optimizer):
	optimizer.zero_grad()
	loss.backward(retain_graph=True)