pkg math/big, method (*Float) IsInt() bool
pkg math/big, method (*Float) MantExp(*Float) int
pkg math/big, method (*Float) MinPrec() uint
pkg math/big, method (*Float) Mode() RoundingMode
pkg math/big, method (*Float) Mul(*Float, *Float) *Float
pkg math/big, method (*Float) Neg(*Float) *Float
pkg math/big, method (*Float) Parse(string, int) (*Float, int, error)
pkg math/big, method (*Float) Prec() uint

TEST_F(CApiGradientsTest, MultipleCallsToAddGradients) {
  const float X = 3.0f, Y = 7.0f;
  TF_Operation* x = Placeholder(graph_, s_, "x", TF_FLOAT);
  TF_Operation* y = Placeholder(graph_, s_, "y", TF_FLOAT);
  TF_Operation* xy = Mul(x, y, graph_, s_, "xy");
  TF_Output dxy_dx, dxy_dy;

  TF_Output outputs[1] = {{xy, 0}};
  TF_Output inputs[1] = {{x, 0}};
  TF_AddGradients(graph_, outputs, 1, inputs, 1, nullptr, s_, &dxy_dx);

    *   Unary GPU kernels: Abs, Atanh, Acos, Acosh, Asin, Asinh, Atan, Cos, Cosh, Sin, Sinh, Tan, Tanh.
    *   Binary GPU kernels: AddV2, Sub, Div, DivNoNan, Mul, MulNoNan, FloorDiv, Equal, NotEqual, Greater, GreaterEqual, LessEqual, Less.

* `tf.lite`
    * Add experimental supports conversion of models that may be larger than 2GB before buffer deduplication

pkg go/token, const LEQ Token
pkg go/token, const LOR Token
pkg go/token, const LPAREN Token
pkg go/token, const LSS Token
pkg go/token, const LowestPrec ideal-int
pkg go/token, const MAP Token
pkg go/token, const MUL Token
pkg go/token, const MUL_ASSIGN Token
pkg go/token, const NEQ Token
pkg go/token, const NOT Token
pkg go/token, const NoPos Pos
pkg go/token, const OR Token
pkg go/token, const OR_ASSIGN Token

pkg go/token, const LEQ = 45
pkg go/token, const LOR = 35
pkg go/token, const LPAREN = 49
pkg go/token, const LSS = 40
pkg go/token, const LowestPrec = 0
pkg go/token, const MAP = 77
pkg go/token, const MUL = 14
pkg go/token, const MUL_ASSIGN = 25
pkg go/token, const NEQ = 44
pkg go/token, const NOT = 43
pkg go/token, const NoPos = 0
pkg go/token, const OR = 18
pkg go/token, const OR_ASSIGN = 29