code: def loss_incorrect_descriptors_dim():
      embeddings = torch.randn(10, 10)
      loss_fn = ManifoldLoss(l=999)
      loss_fn(embeddings)
  
file_path: pytorch-metric-learning/tests/losses/test_manifold_loss.py
imports: import unittest
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.module import Module
  from pytorch_metric_learning.losses import ManifoldLoss
  from ..None import TEST_DEVICE, TEST_DTYPES
label_desc: Use image node_id 2 for calling a global function with example usage: loss_incorrect_descriptors_dim() without return types