torch.nn.utils.get_total_norm# torch.nn.utils.get_total_norm(tensors, norm_type=2.0, error_if_nonfinite=False, foreach=None)[source]# Compute the norm of an iterable of tensors. The norm is computed over the norms of the individual tensors, as if the norms of the individual tensors were concatenated into a single vector. Parameters tensors (Iterable[Tensor] or Tensor) – an iterable of Tensors or a single Tensor that will be normalized norm_type (float) – type of the used p-norm. Can be 'inf' for infinity norm. error_if_nonfinite (bool) – if True, an error is thrown if the total norm of tensors is nan, inf, or -inf. Default: False foreach (bool) – use the faster foreach-based implementation. If None, use the foreach implementation for CUDA and CPU native tensors and silently fall back to the slow implementation for other device types. Default: None Returns Total norm of the tensors (viewed as a single vector). Return type Tensor