path: "tensorflow.random"
tf_module {
  member_method {
    name: "gamma"
    argspec: "args=[\'shape\', \'alpha\', \'beta\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "get_seed"
    argspec: "args=[\'op_seed\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "log_uniform_candidate_sampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "multinomial"
    argspec: "args=[\'logits\', \'num_samples\', \'seed\', \'name\', \'output_dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "normal"
    argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "poisson"
    argspec: "args=[\'lam\', \'shape\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "set_random_seed"
    argspec: "args=[\'seed\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "shuffle"
    argspec: "args=[\'value\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "truncated_normal"
    argspec: "args=[\'shape\', \'mean\', \'stddev\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0.0\', \'1.0\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "uniform"
    argspec: "args=[\'shape\', \'minval\', \'maxval\', \'dtype\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \"<dtype: \'float32\'>\", \'None\', \'None\'], "
  }
  member_method {
    name: "uniform_candidate_sampler"
    argspec: "args=[\'true_classes\', \'num_true\', \'num_sampled\', \'unique\', \'range_max\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
}