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1path: "tensorflow.keras.optimizers.SGD"
2tf_class {
3  is_instance: "<class \'tensorflow.python.keras.optimizer_v2.gradient_descent.SGD\'>"
4  is_instance: "<class \'tensorflow.python.keras.optimizer_v2.optimizer_v2.OptimizerV2\'>"
5  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
6  is_instance: "<type \'object\'>"
7  member {
8    name: "clipnorm"
9    mtype: "<type \'property\'>"
10  }
11  member {
12    name: "clipvalue"
13    mtype: "<type \'property\'>"
14  }
15  member {
16    name: "global_clipnorm"
17    mtype: "<type \'property\'>"
18  }
19  member {
20    name: "iterations"
21    mtype: "<type \'property\'>"
22  }
23  member {
24    name: "weights"
25    mtype: "<type \'property\'>"
26  }
27  member_method {
28    name: "__init__"
29    argspec: "args=[\'self\', \'learning_rate\', \'momentum\', \'nesterov\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.01\', \'0.0\', \'False\', \'SGD\'], "
30  }
31  member_method {
32    name: "add_slot"
33    argspec: "args=[\'self\', \'var\', \'slot_name\', \'initializer\', \'shape\'], varargs=None, keywords=None, defaults=[\'zeros\', \'None\'], "
34  }
35  member_method {
36    name: "add_weight"
37    argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'trainable\', \'synchronization\', \'aggregation\'], varargs=None, keywords=None, defaults=[\'None\', \'zeros\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
38  }
39  member_method {
40    name: "apply_gradients"
41    argspec: "args=[\'self\', \'grads_and_vars\', \'name\', \'experimental_aggregate_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'True\'], "
42  }
43  member_method {
44    name: "from_config"
45    argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
46  }
47  member_method {
48    name: "get_config"
49    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
50  }
51  member_method {
52    name: "get_gradients"
53    argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
54  }
55  member_method {
56    name: "get_slot"
57    argspec: "args=[\'self\', \'var\', \'slot_name\'], varargs=None, keywords=None, defaults=None"
58  }
59  member_method {
60    name: "get_slot_names"
61    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
62  }
63  member_method {
64    name: "get_updates"
65    argspec: "args=[\'self\', \'loss\', \'params\'], varargs=None, keywords=None, defaults=None"
66  }
67  member_method {
68    name: "get_weights"
69    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
70  }
71  member_method {
72    name: "minimize"
73    argspec: "args=[\'self\', \'loss\', \'var_list\', \'grad_loss\', \'name\', \'tape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
74  }
75  member_method {
76    name: "set_weights"
77    argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
78  }
79  member_method {
80    name: "variables"
81    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
82  }
83}
84