namespace tracing {
namespace graph {

class GraphContext;
class GraphOperation;
class GraphTensor;

auto& kUnknownDim = shape_inference::InferenceContext::kUnknownDim;
auto& kUnknownRank = shape_inference::InferenceContext::kUnknownRank;

// GraphTensor wraps a `TF_Output`, i.e. a pointer to TF_Operation and the index
// into the list of outputs for the operation.
class GraphTensor : public TracingTensorHandle {
 public:

  if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
    return tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(
               unwrapped_handle)
        ->DevicePointer();
  }
  // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
  if (!tensorflow::TensorHandle::classof(unwrapped_handle)) {

something(some_argument, some_keyword_argument="foo")
```

o zaman bu bir "callable" demektir.

## Dependency Olarak Class'lar { #classes-as-dependencies_1 }

Python'da bir class'tan instance oluştururken de aynı söz dizimini kullandığınızı fark etmiş olabilirsiniz.

Örneğin:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

            Interface12.class,
            Interface1.class,
            Interface2.class,
            Class1.class,
            Object.class);
    makeUnmodifiable(types.interfaces().rawTypes())
        .containsExactly(
            Interface3.class,
            Interface12.class,
            Interface1.class,
            Interface2.class,
            Iterable.class);
    makeUnmodifiable(types.classes().rawTypes())

```

then it is a "callable".

## Classes as dependencies { #classes-as-dependencies_1 }

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In this case, `fluffy` is an instance of the class `Cat`.

```Python
something(some_argument, some_keyword_argument="foo")
```

Então esse objeto é um "chamável".

## Classes como dependências { #classes-as-dependencies_1 }

Você deve ter percebido que para criar um instância de uma classe em Python, a mesma sintaxe é utilizada.

Por exemplo:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

```Python
something(some_argument, some_keyword_argument="foo")
```

в таком случае он является «вызываемым».

## Классы как зависимости { #classes-as-dependencies_1 }

Вы можете заметить, что для создания экземпляра класса в Python используется тот же синтаксис.

Например:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

```Python
something(some_argument, some_keyword_argument="foo")
```

alors c'est un « callable ».

## Utiliser des classes comme dépendances { #classes-as-dependencies_1 }

Vous remarquerez que pour créer une instance d'une classe Python, vous utilisez la même syntaxe.

Par exemple :

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

```Python
something(some_argument, some_keyword_argument="foo")
```

entonces es un "callable".

## Clases como dependencias { #classes-as-dependencies_1 }

Puedes notar que para crear una instance de una clase en Python, utilizas esa misma sintaxis.

Por ejemplo:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

```Python
something()
```

或是

```Python
something(some_argument, some_keyword_argument="foo")
```

那它就是一個「callable」。

## 以類別作為相依性 { #classes-as-dependencies_1 }

你可能已經注意到，建立一個 Python 類別的實例時，你用的語法也是一樣的。

例如：

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

在這個例子中，`fluffy` 是 `Cat` 類別的一個實例。