golden/v2/tensorflow.pbtxt

path: "tensorflow"
tf_module {
  member {
    name: "AggregationMethod"
    mtype: "<type \'type\'>"
  }
  member {
    name: "CriticalSection"
    mtype: "<type \'type\'>"
  }
  member {
    name: "DType"
    mtype: "<class \'tensorflow.python.framework.dtypes.DTypeMeta\'>"
  }
  member {
    name: "DeviceSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "GradientTape"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Graph"
    mtype: "<type \'type\'>"
  }
  member {
    name: "IndexedSlices"
    mtype: "<type \'type\'>"
  }
  member {
    name: "IndexedSlicesSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Module"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Operation"
    mtype: "<type \'type\'>"
  }
  member {
    name: "OptionalSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RaggedTensor"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RaggedTensorSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "RegisterGradient"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SparseTensor"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SparseTensorSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Tensor"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorArray"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorArraySpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorShape"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TensorSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "TypeSpec"
    mtype: "<type \'type\'>"
  }
  member {
    name: "UnconnectedGradients"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "Variable"
    mtype: "<class \'tensorflow.python.ops.variables.VariableMetaclass\'>"
  }
  member {
    name: "VariableAggregation"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "VariableSynchronization"
    mtype: "<class \'enum.EnumMeta\'>"
  }
  member {
    name: "audio"
    mtype: "<type \'module\'>"
  }
  member {
    name: "autodiff"
    mtype: "<type \'module\'>"
  }
  member {
    name: "autograph"
    mtype: "<type \'module\'>"
  }
  member {
    name: "bfloat16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "bitwise"
    mtype: "<type \'module\'>"
  }
  member {
    name: "bool"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "compat"
    mtype: "<type \'module\'>"
  }
  member {
    name: "complex128"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "complex64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "config"
    mtype: "<type \'module\'>"
  }
  member {
    name: "constant_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "data"
    mtype: "<type \'module\'>"
  }
  member {
    name: "debugging"
    mtype: "<type \'module\'>"
  }
  member {
    name: "distribute"
    mtype: "<type \'module\'>"
  }
  member {
    name: "double"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "dtypes"
    mtype: "<type \'module\'>"
  }
  member {
    name: "errors"
    mtype: "<type \'module\'>"
  }
  member {
    name: "estimator"
    mtype: "<type \'module\'>"
  }
  member {
    name: "experimental"
    mtype: "<type \'module\'>"
  }
  member {
    name: "feature_column"
    mtype: "<type \'module\'>"
  }
  member {
    name: "float16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "float32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "float64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "graph_util"
    mtype: "<type \'module\'>"
  }
  member {
    name: "half"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "image"
    mtype: "<type \'module\'>"
  }
  member {
    name: "initializers"
    mtype: "<type \'module\'>"
  }
  member {
    name: "int16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "int32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "int64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "int8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "io"
    mtype: "<type \'module\'>"
  }
  member {
    name: "keras"
    mtype: "<type \'module\'>"
  }
  member {
    name: "linalg"
    mtype: "<type \'module\'>"
  }
  member {
    name: "lite"
    mtype: "<type \'module\'>"
  }
  member {
    name: "lookup"
    mtype: "<type \'module\'>"
  }
  member {
    name: "losses"
    mtype: "<type \'module\'>"
  }
  member {
    name: "math"
    mtype: "<type \'module\'>"
  }
  member {
    name: "metrics"
    mtype: "<type \'module\'>"
  }
  member {
    name: "mlir"
    mtype: "<type \'module\'>"
  }
  member {
    name: "name_scope"
    mtype: "<type \'type\'>"
  }
  member {
    name: "nest"
    mtype: "<type \'module\'>"
  }
  member {
    name: "newaxis"
    mtype: "<type \'NoneType\'>"
  }
  member {
    name: "nn"
    mtype: "<type \'module\'>"
  }
  member {
    name: "ones_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "optimizers"
    mtype: "<type \'module\'>"
  }
  member {
    name: "profiler"
    mtype: "<type \'module\'>"
  }
  member {
    name: "qint16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "qint32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "qint8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "quantization"
    mtype: "<type \'module\'>"
  }
  member {
    name: "queue"
    mtype: "<type \'module\'>"
  }
  member {
    name: "quint16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "quint8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "ragged"
    mtype: "<type \'module\'>"
  }
  member {
    name: "random"
    mtype: "<type \'module\'>"
  }
  member {
    name: "random_normal_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "random_uniform_initializer"
    mtype: "<type \'type\'>"
  }
  member {
    name: "raw_ops"
    mtype: "<type \'module\'>"
  }
  member {
    name: "resource"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "saved_model"
    mtype: "<type \'module\'>"
  }
  member {
    name: "sets"
    mtype: "<type \'module\'>"
  }
  member {
    name: "signal"
    mtype: "<type \'module\'>"
  }
  member {
    name: "sparse"
    mtype: "<type \'module\'>"
  }
  member {
    name: "string"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "strings"
    mtype: "<type \'module\'>"
  }
  member {
    name: "summary"
    mtype: "<type \'module\'>"
  }
  member {
    name: "sysconfig"
    mtype: "<type \'module\'>"
  }
  member {
    name: "test"
    mtype: "<type \'module\'>"
  }
  member {
    name: "tpu"
    mtype: "<type \'module\'>"
  }
  member {
    name: "train"
    mtype: "<type \'module\'>"
  }
  member {
    name: "types"
    mtype: "<type \'module\'>"
  }
  member {
    name: "uint16"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uint32"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uint64"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "uint8"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "variant"
    mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
  }
  member {
    name: "version"
    mtype: "<type \'module\'>"
  }
  member {
    name: "xla"
    mtype: "<type \'module\'>"
  }
  member {
    name: "zeros_initializer"
    mtype: "<type \'type\'>"
  }
  member_method {
    name: "Assert"
    argspec: "args=[\'condition\', \'data\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "abs"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "acos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "acosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add_n"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "approx_top_k"
    argspec: "args=[\'input\', \'k\', \'reduction_dimension\', \'recall_target\', \'is_max_k\', \'reduction_input_size_override\', \'aggregate_to_topk\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'0.95\', \'True\', \'-1\', \'True\', \'None\'], "
  }
  member_method {
    name: "argmax"
    argspec: "args=[\'input\', \'axis\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "argmin"
    argspec: "args=[\'input\', \'axis\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'int64\'>\", \'None\'], "
  }
  member_method {
    name: "argsort"
    argspec: "args=[\'values\', \'axis\', \'direction\', \'stable\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'ASCENDING\', \'False\', \'None\'], "
  }
  member_method {
    name: "as_dtype"
    argspec: "args=[\'type_value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "as_string"
    argspec: "args=[\'input\', \'precision\', \'scientific\', \'shortest\', \'width\', \'fill\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'False\', \'False\', \'-1\', \'\', \'None\'], "
  }
  member_method {
    name: "asin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "asinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "assert_equal"
    argspec: "args=[\'x\', \'y\', \'message\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_greater"
    argspec: "args=[\'x\', \'y\', \'message\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_less"
    argspec: "args=[\'x\', \'y\', \'message\', \'summarize\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "assert_rank"
    argspec: "args=[\'x\', \'rank\', \'message\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "atan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "atan2"
    argspec: "args=[\'y\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "atanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "batch_mat_mul_v3"
    argspec: "args=[\'x\', \'y\', \'Tout\', \'adj_x\', \'adj_y\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "batch_to_space"
    argspec: "args=[\'input\', \'block_shape\', \'crops\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "bitcast"
    argspec: "args=[\'input\', \'type\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "boolean_mask"
    argspec: "args=[\'tensor\', \'mask\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'boolean_mask\'], "
  }
  member_method {
    name: "broadcast_dynamic_shape"
    argspec: "args=[\'shape_x\', \'shape_y\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast_static_shape"
    argspec: "args=[\'shape_x\', \'shape_y\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "broadcast_to"
    argspec: "args=[\'input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "case"
    argspec: "args=[\'pred_fn_pairs\', \'default\', \'exclusive\', \'strict\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'False\', \'case\'], "
  }
  member_method {
    name: "cast"
    argspec: "args=[\'x\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "clip_by_global_norm"
    argspec: "args=[\'t_list\', \'clip_norm\', \'use_norm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "clip_by_norm"
    argspec: "args=[\'t\', \'clip_norm\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "clip_by_value"
    argspec: "args=[\'t\', \'clip_value_min\', \'clip_value_max\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "complex"
    argspec: "args=[\'real\', \'imag\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "concat"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'concat\'], "
  }
  member_method {
    name: "cond"
    argspec: "args=[\'pred\', \'true_fn\', \'false_fn\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "constant"
    argspec: "args=[\'value\', \'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'Const\'], "
  }
  member_method {
    name: "control_dependencies"
    argspec: "args=[\'control_inputs\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "convert_to_tensor"
    argspec: "args=[\'value\', \'dtype\', \'dtype_hint\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "cos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cumsum"
    argspec: "args=[\'x\', \'axis\', \'exclusive\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "custom_gradient"
    argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "device"
    argspec: "args=[\'device_name\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "divide"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dynamic_partition"
    argspec: "args=[\'data\', \'partitions\', \'num_partitions\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "dynamic_stitch"
    argspec: "args=[\'indices\', \'data\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "edit_distance"
    argspec: "args=[\'hypothesis\', \'truth\', \'normalize\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'edit_distance\'], "
  }
  member_method {
    name: "eig"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "eigvals"
    argspec: "args=[\'tensor\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "einsum"
    argspec: "args=[\'equation\'], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "ensure_shape"
    argspec: "args=[\'x\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "executing_eagerly"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "exp"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "expand_dims"
    argspec: "args=[\'input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "extract_volume_patches"
    argspec: "args=[\'input\', \'ksizes\', \'strides\', \'padding\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "eye"
    argspec: "args=[\'num_rows\', \'num_columns\', \'batch_shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "fill"
    argspec: "args=[\'dims\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "fingerprint"
    argspec: "args=[\'data\', \'method\', \'name\'], varargs=None, keywords=None, defaults=[\'farmhash64\', \'None\'], "
  }
  member_method {
    name: "floor"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "foldl"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "foldr"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "function"
    argspec: "args=[\'func\', \'input_signature\', \'autograph\', \'jit_compile\', \'reduce_retracing\', \'experimental_implements\', \'experimental_autograph_options\', \'experimental_relax_shapes\', \'experimental_compile\', \'experimental_follow_type_hints\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'None\', \'False\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "gather"
    argspec: "args=[\'params\', \'indices\', \'validate_indices\', \'axis\', \'batch_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\', \'None\'], "
  }
  member_method {
    name: "gather_nd"
    argspec: "args=[\'params\', \'indices\', \'batch_dims\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "get_current_name_scope"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_logger"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_static_value"
    argspec: "args=[\'tensor\', \'partial\'], varargs=None, keywords=None, defaults=[\'False\'], "
  }
  member_method {
    name: "grad_pass_through"
    argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "gradients"
    argspec: "args=[\'ys\', \'xs\', \'grad_ys\', \'name\', \'gate_gradients\', \'aggregation_method\', \'stop_gradients\', \'unconnected_gradients\'], varargs=None, keywords=None, defaults=[\'None\', \'gradients\', \'False\', \'None\', \'None\', \'UnconnectedGradients.NONE\'], "
  }
  member_method {
    name: "greater"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "greater_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "group"
    argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "guarantee_const"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "hessians"
    argspec: "args=[\'ys\', \'xs\', \'gate_gradients\', \'aggregation_method\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'None\', \'hessians\'], "
  }
  member_method {
    name: "histogram_fixed_width"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "histogram_fixed_width_bins"
    argspec: "args=[\'values\', \'value_range\', \'nbins\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'100\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "identity"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "identity_n"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "import_graph_def"
    argspec: "args=[\'graph_def\', \'input_map\', \'return_elements\', \'name\', \'op_dict\', \'producer_op_list\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "init_scope"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "inside_function"
    argspec: "args=[], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "is_tensor"
    argspec: "args=[\'x\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "less"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "less_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "linspace"
    argspec: "args=[\'start\', \'stop\', \'num\', \'name\', \'axis\'], varargs=None, keywords=None, defaults=[\'None\', \'0\'], "
  }
  member_method {
    name: "load_library"
    argspec: "args=[\'library_location\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "load_op_library"
    argspec: "args=[\'library_filename\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "logical_and"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_not"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_or"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "make_ndarray"
    argspec: "args=[\'tensor\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "make_tensor_proto"
    argspec: "args=[\'values\', \'dtype\', \'shape\', \'verify_shape\', \'allow_broadcast\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\', \'False\'], "
  }
  member_method {
    name: "map_fn"
    argspec: "args=[\'fn\', \'elems\', \'dtype\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'name\', \'fn_output_signature\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\', \'False\', \'True\', \'None\', \'None\'], "
  }
  member_method {
    name: "matmul"
    argspec: "args=[\'a\', \'b\', \'transpose_a\', \'transpose_b\', \'adjoint_a\', \'adjoint_b\', \'a_is_sparse\', \'b_is_sparse\', \'output_type\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'False\', \'False\', \'False\', \'False\', \'None\', \'None\'], "
  }
  member_method {
    name: "matrix_square_root"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "maximum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "meshgrid"
    argspec: "args=[], varargs=args, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "minimum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "multiply"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "negative"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "no_gradient"
    argspec: "args=[\'op_type\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "no_op"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "nondifferentiable_batch_function"
    argspec: "args=[\'num_batch_threads\', \'max_batch_size\', \'batch_timeout_micros\', \'allowed_batch_sizes\', \'max_enqueued_batches\', \'autograph\', \'enable_large_batch_splitting\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'True\'], "
  }
  member_method {
    name: "norm"
    argspec: "args=[\'tensor\', \'ord\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'euclidean\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "not_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "numpy_function"
    argspec: "args=[\'func\', \'inp\', \'Tout\', \'stateful\', \'name\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
  }
  member_method {
    name: "one_hot"
    argspec: "args=[\'indices\', \'depth\', \'on_value\', \'off_value\', \'axis\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "ones"
    argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "ones_like"
    argspec: "args=[\'input\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "pad"
    argspec: "args=[\'tensor\', \'paddings\', \'mode\', \'constant_values\', \'name\'], varargs=None, keywords=None, defaults=[\'CONSTANT\', \'0\', \'None\'], "
  }
  member_method {
    name: "parallel_stack"
    argspec: "args=[\'values\', \'name\'], varargs=None, keywords=None, defaults=[\'parallel_stack\'], "
  }
  member_method {
    name: "pow"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "print"
    argspec: "args=[], varargs=inputs, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "py_function"
    argspec: "args=[\'func\', \'inp\', \'Tout\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "random_index_shuffle"
    argspec: "args=[\'index\', \'seed\', \'max_index\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "range"
    argspec: "args=[\'start\', \'limit\', \'delta\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'range\'], "
  }
  member_method {
    name: "rank"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "realdiv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "recompute_grad"
    argspec: "args=[\'f\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "reduce_all"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_any"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_logsumexp"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_max"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_mean"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_min"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_prod"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "reduce_sum"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "register_tensor_conversion_function"
    argspec: "args=[\'base_type\', \'conversion_func\', \'priority\'], varargs=None, keywords=None, defaults=[\'100\'], "
  }
  member_method {
    name: "repeat"
    argspec: "args=[\'input\', \'repeats\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "required_space_to_batch_paddings"
    argspec: "args=[\'input_shape\', \'block_shape\', \'base_paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "reshape"
    argspec: "args=[\'tensor\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reverse"
    argspec: "args=[\'tensor\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reverse_sequence"
    argspec: "args=[\'input\', \'seq_lengths\', \'seq_axis\', \'batch_axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "roll"
    argspec: "args=[\'input\', \'shift\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "round"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "saturate_cast"
    argspec: "args=[\'value\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "scalar_mul"
    argspec: "args=[\'scalar\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "scan"
    argspec: "args=[\'fn\', \'elems\', \'initializer\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'infer_shape\', \'reverse\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'True\', \'False\', \'None\'], "
  }
  member_method {
    name: "scatter_nd"
    argspec: "args=[\'indices\', \'updates\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "searchsorted"
    argspec: "args=[\'sorted_sequence\', \'values\', \'side\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\'left\', \"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "sequence_mask"
    argspec: "args=[\'lengths\', \'maxlen\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'bool\'>\", \'None\'], "
  }
  member_method {
    name: "shape"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "shape_n"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sign"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "size"
    argspec: "args=[\'input\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "slice"
    argspec: "args=[\'input_\', \'begin\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sort"
    argspec: "args=[\'values\', \'axis\', \'direction\', \'name\'], varargs=None, keywords=None, defaults=[\'-1\', \'ASCENDING\', \'None\'], "
  }
  member_method {
    name: "space_to_batch"
    argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "space_to_batch_nd"
    argspec: "args=[\'input\', \'block_shape\', \'paddings\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sparse_segment_sum_grad"
    argspec: "args=[\'grad\', \'indices\', \'segment_ids\', \'output_dim0\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "split"
    argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'split\'], "
  }
  member_method {
    name: "sqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "square"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "squeeze"
    argspec: "args=[\'input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "stack"
    argspec: "args=[\'values\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'stack\'], "
  }
  member_method {
    name: "stop_gradient"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "strided_slice"
    argspec: "args=[\'input_\', \'begin\', \'end\', \'strides\', \'begin_mask\', \'end_mask\', \'ellipsis_mask\', \'new_axis_mask\', \'shrink_axis_mask\', \'var\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'0\', \'0\', \'0\', \'0\', \'None\', \'None\'], "
  }
  member_method {
    name: "subtract"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "switch_case"
    argspec: "args=[\'branch_index\', \'branch_fns\', \'default\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'switch_case\'], "
  }
  member_method {
    name: "tan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_add"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_max"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_min"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_sub"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensor_scatter_nd_update"
    argspec: "args=[\'tensor\', \'indices\', \'updates\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tensordot"
    argspec: "args=[\'a\', \'b\', \'axes\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tile"
    argspec: "args=[\'input\', \'multiples\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "timestamp"
    argspec: "args=[\'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "transpose"
    argspec: "args=[\'a\', \'perm\', \'conjugate\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'transpose\'], "
  }
  member_method {
    name: "truediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "truncatediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "truncatemod"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "tuple"
    argspec: "args=[\'tensors\', \'control_inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "type_spec_from_value"
    argspec: "args=[\'value\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "unique"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "unique_with_counts"
    argspec: "args=[\'x\', \'out_idx\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int32\'>\", \'None\'], "
  }
  member_method {
    name: "unravel_index"
    argspec: "args=[\'indices\', \'dims\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unstack"
    argspec: "args=[\'value\', \'num\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'unstack\'], "
  }
  member_method {
    name: "variable_creator_scope"
    argspec: "args=[\'variable_creator\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "vectorized_map"
    argspec: "args=[\'fn\', \'elems\', \'fallback_to_while_loop\', \'warn\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
  }
  member_method {
    name: "where"
    argspec: "args=[\'condition\', \'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "while_loop"
    argspec: "args=[\'cond\', \'body\', \'loop_vars\', \'shape_invariants\', \'parallel_iterations\', \'back_prop\', \'swap_memory\', \'maximum_iterations\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'10\', \'True\', \'False\', \'None\', \'None\'], "
  }
  member_method {
    name: "zeros"
    argspec: "args=[\'shape\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "zeros_like"
    argspec: "args=[\'input\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
}