(TF_ConstOp (getScaledAlpha $features)))))>;



//===----------------------------------------------------------------------===//
// Expm1 op patterns.
//===----------------------------------------------------------------------===//

// Expm1(x) = Exp(x) - 1
def LowerExp1mOp : Pat<
  (TF_Expm1Op $x),
  (TF_SubOp
    (TF_ExpOp $x),
    (TF_ConstOp (GetScalarOfType<1> $x))
  )>;

  ];
}

def TF_Expm1Op : TF_Op<"Expm1", [InferTensorType, Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes `exp(x) - 1` element-wise.";

  let description = [{
i.e. `exp(x) - 1` or `e^(x) - 1`, where `x` is the input tensor.
  `e` denotes Euler's number and is approximately equal to 2.718281.

  ```python
  x = tf.constant(2.0)
  tf.math.expm1(x) ==> 6.389056

        `tf.math.atan2`, `tf.math.atanh`, `tf.math.betainc`, `tf.math.ceil`,
        `tf.math.cos`, `tf.math.cosh`, `tf.math.digamma`, `tf.math.equal`,
        `tf.math.erfc`, `tf.math.exp`, `tf.math.expm1`, `tf.math.floor`,
        `tf.math.greater`, `tf.math.greater_equal`, `tf.math.igamma`,
        `tf.math.igammac`, `tf.math.invert_permutation`, `tf.math.less`,