}

def TF_LogOp : TF_Op<"Log", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes natural logarithm of x element-wise.";

  let description = [{
I.e., \\(y = \log_e x\\).

Example:

```python
x = tf.constant([0, 0.5, 1, 5])
tf.math.log(x) ==> [-inf, -0.6931472,  0. ,  1.609438]
```
  }];

  let arguments = (ins
    TF_FpOrComplexTensor:$x

		{"Lgamma", Func, 0},
		{"Ln10", Const, 0},
		{"Ln2", Const, 0},
		{"Log", Func, 0},
		{"Log10", Func, 0},
		{"Log10E", Const, 0},
		{"Log1p", Func, 0},
		{"Log2", Func, 0},
		{"Log2E", Const, 0},
		{"Logb", Func, 0},
		{"Max", Func, 0},
		{"MaxFloat32", Const, 0},
		{"MaxFloat64", Const, 0},
		{"MaxInt", Const, 17},
		{"MaxInt16", Const, 0},
		{"MaxInt32", Const, 0},