* **Çevik kodlama**: Funksiyanallıqları inkişaf etdirmək sürətini təxminən 200%-dən 300%-ə qədər artırın. *
* **Daha az xəta**: İnsan (developer) tərəfindən törədilən səhvlərin təxminən 40% -ni azaldın. *

         </artifact>
      </component>
      <component group="xalan" name="serializer" version="2.7.1">
         <artifact name="serializer-2.7.1.jar">
            <sha256 value="a15078d243d4a20b6b4e8ae2f61ed4655e352054e121aada6f7441f1ed445a3c" origin="Verified" reason="Artifact is not signed"/>
         </artifact>
      </component>
      <component group="xalan" name="xalan" version="2.7.1">
         <artifact name="xalan-2.7.1.jar">

```
systemProp.javax.xml.parsers.SAXParserFactory=com.sun.org.apache.xerces.internal.jaxp.SAXParserFactoryImpl
systemProp.javax.xml.transform.TransformerFactory=com.sun.org.apache.xalan.internal.xsltc.trax.TransformerFactoryImpl
systemProp.javax.xml.parsers.DocumentBuilderFactory=com.sun.org.apache.xerces.internal.jaxp.DocumentBuilderFactoryImpl
```

}

def TF_AtanOp : TF_Op<"Atan", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Computes the trignometric inverse tangent of x element-wise.";

  let description = [{
The `tf.math.atan` operation returns the inverse of `tf.math.tan`, such that
if `y = tf.math.tan(x)` then, `x = tf.math.atan(y)`.

**Note**: The output of `tf.math.atan` will lie within the invertible range

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more than 2**32 elements.
    *   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`