tensorflow/tools/api/golden/v2/tensorflow.linalg.-linear-operator-tridiag.pbtxt

path: "tensorflow.linalg.LinearOperatorTridiag"
tf_class {
  is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator_tridiag.LinearOperatorTridiag\'>"
  is_instance: "<class \'tensorflow.python.ops.linalg.linear_operator.LinearOperator\'>"
  is_instance: "<class \'tensorflow.python.module.module.Module\'>"
  is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>"
  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "H"
    mtype: "<type \'property\'>"
  }
  member {
    name: "batch_shape"
    mtype: "<type \'property\'>"
  }
  member {
    name: "diagonals"
    mtype: "<type \'property\'>"
  }
  member {
    name: "diagonals_format"
    mtype: "<type \'property\'>"
  }
  member {
    name: "domain_dimension"
    mtype: "<type \'property\'>"
  }
  member {
    name: "dtype"
    mtype: "<type \'property\'>"
  }
  member {
    name: "graph_parents"
    mtype: "<type \'property\'>"
  }
  member {
    name: "is_non_singular"
    mtype: "<type \'property\'>"
  }
  member {
    name: "is_positive_definite"
    mtype: "<type \'property\'>"
  }
  member {
    name: "is_self_adjoint"
    mtype: "<type \'property\'>"
  }
  member {
    name: "is_square"
    mtype: "<type \'property\'>"
  }
  member {
    name: "name"
    mtype: "<type \'property\'>"
  }
  member {
    name: "name_scope"
    mtype: "<type \'property\'>"
  }
  member {
    name: "range_dimension"
    mtype: "<type \'property\'>"
  }
  member {
    name: "shape"
    mtype: "<type \'property\'>"
  }
  member {
    name: "submodules"
    mtype: "<type \'property\'>"
  }
  member {
    name: "tensor_rank"
    mtype: "<type \'property\'>"
  }
  member {
    name: "trainable_variables"
    mtype: "<type \'property\'>"
  }
  member {
    name: "variables"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'diagonals\', \'diagonals_format\', \'is_non_singular\', \'is_self_adjoint\', \'is_positive_definite\', \'is_square\', \'name\'], varargs=None, keywords=None, defaults=[\'compact\', \'None\', \'None\', \'None\', \'None\', \'LinearOperatorTridiag\'], "
  }
  member_method {
    name: "add_to_tensor"
    argspec: "args=[\'self\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'add_to_tensor\'], "
  }
  member_method {
    name: "adjoint"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'adjoint\'], "
  }
  member_method {
    name: "assert_non_singular"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_non_singular\'], "
  }
  member_method {
    name: "assert_positive_definite"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_positive_definite\'], "
  }
  member_method {
    name: "assert_self_adjoint"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'assert_self_adjoint\'], "
  }
  member_method {
    name: "batch_shape_tensor"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
  }
  member_method {
    name: "cholesky"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'cholesky\'], "
  }
  member_method {
    name: "cond"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'cond\'], "
  }
  member_method {
    name: "determinant"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'det\'], "
  }
  member_method {
    name: "diag_part"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'diag_part\'], "
  }
  member_method {
    name: "domain_dimension_tensor"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'domain_dimension_tensor\'], "
  }
  member_method {
    name: "eigvals"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'eigvals\'], "
  }
  member_method {
    name: "inverse"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'inverse\'], "
  }
  member_method {
    name: "log_abs_determinant"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'log_abs_det\'], "
  }
  member_method {
    name: "matmul"
    argspec: "args=[\'self\', \'x\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'matmul\'], "
  }
  member_method {
    name: "matvec"
    argspec: "args=[\'self\', \'x\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'matvec\'], "
  }
  member_method {
    name: "range_dimension_tensor"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'range_dimension_tensor\'], "
  }
  member_method {
    name: "shape_tensor"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'shape_tensor\'], "
  }
  member_method {
    name: "solve"
    argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'adjoint_arg\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'solve\'], "
  }
  member_method {
    name: "solvevec"
    argspec: "args=[\'self\', \'rhs\', \'adjoint\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'solve\'], "
  }
  member_method {
    name: "tensor_rank_tensor"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'tensor_rank_tensor\'], "
  }
  member_method {
    name: "to_dense"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'to_dense\'], "
  }
  member_method {
    name: "trace"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'trace\'], "
  }
  member_method {
    name: "with_name_scope"
    argspec: "args=[\'cls\', \'method\'], varargs=None, keywords=None, defaults=None"
  }
}