nn_utils_clip_grad_value_

Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.

Daniel Falbel

torch

Tensors and Neural Networks with 'GPU' Acceleration

Javier Luraschi

Dmitriy Selivanov

Athos Damiani

Christophe Regouby

Krzysztof Joachimiak

Hamada S. Badr

 RStudio

nn_utils_clip_grad_value_ function

<dl><dt>parameters</dt>
<dd>(Iterable(Tensor) or Tensor): an iterable of Tensors or a
single Tensor that will have gradients normalized</dd>
<dt>clip_value</dt>
<dd>(float or int): maximum allowed value of the gradients.</dd></dl>

Arguments

Clips gradient of an iterable of parameters at specified value. — nn_utils_clip_grad_value_

<dl>

<dt>parameters</dt>
<dd>(Iterable(Tensor) or Tensor): an iterable of Tensors or a
single Tensor that will have gradients normalized</dd>


<dt>clip_value</dt>
<dd>(float or int): maximum allowed value of the gradients.</dd>

</dl>

Clips gradient of an iterable of parameters at specified value.

nn_utils_clip_grad_value_: Clips gradient of an iterable of parameters at specified value.

Description

Usage

Arguments

Details