class_docstr: Test optimizers and related classes.
class_docstr_tok: ["Test","optimizers","and","related","classes","."]
docstr: Test creating a Gradient Descent optimizer.
docstr_tok: ["Test","creating","a","Gradient","Descent","optimizer","."]
code: def test_gradient_descent_pytorch(self):
      """Test creating a Gradient Descent optimizer."""
      opt = optimizers.GradientDescent(learning_rate=0.01)
      params = [torch.nn.Parameter(torch.Tensor([1.0]))]
      torchopt = opt._create_pytorch_optimizer(params)
      assert isinstance(torchopt, torch.optim.SGD)
  
imports: import deepchem
  import deepchem.models.optimizers
  import unittest
  import pytest
label_desc: Use image node_id 16 for calling the TestOptimizers obj's underlying member method code with example usage: obj.test_gradient_descent_pytorch() without return types