return 0;
          }
        };

    assertEquals(0, (int) iter.next());

    assertThrows(UnsupportedOperationException.class, iter::remove);
  }


  @GwtIncompatible // weak references
  @J2ktIncompatible
  @AndroidIncompatible // depends on details of GC
  public void testFreesNextReference() {
    Iterator<Object> itr =
        new AbstractIterator<Object>() {
          @Override

                We shouldn't use jdk.internal types.
                
                com.beust and org.testng.collections has classes that look like Guava.

                We prefer to import javax.annotation and fully-qualify references to org.jetbrains.annotations.
            -->
            <property name="illegalPkgs" value="jdk.internal,com.beust,org.testng.collections,org.jetbrains.annotations"/>

		}
	}
}

// Save various references we are going to need later.
func (f *File) saveExprs(x interface{}, context astContext) {
	switch x := x.(type) {
	case *ast.Expr:
		switch (*x).(type) {
		case *ast.SelectorExpr:
			f.saveRef(x, context)
		}
	case *ast.CallExpr:
		f.saveCall(x, context)
	}
}

// Save references to C.xxx for later processing.

    final int keyHash;
    final int valueHash;

    // All BiEntry instances are strongly reachable from owning HashBiMap through
    // "HashBiMap.hashTableKToV" and "BiEntry.nextInKToVBucket" references.
    // Under that assumption, the remaining references can be safely marked as @Weak.
    // Using @Weak is necessary to avoid retain-cycles between BiEntry instances on iOS,
    // which would cause memory leaks when non-empty HashBiMap with cyclic BiEntry

“parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for machine learning research. In this paper, we describe the TensorFlow dataflow model and...

* The runtimeHandler field on the RuntimeClass resource now accepts the empty string. ([#69550](https://github.com/kubernetes/kubernetes/pull/69550), [@tallclair](https://github.com/tallclair))
* OpenAPI spec and API reference now reflect dryRun query parameter for POST/PUT/PATCH operations ([#69359](https://github.com/kubernetes/kubernetes/pull/69359), [@roycaihw](https://github.com/roycaihw))



# v1.12.1

  ~TapeVSpace() override {}

  // Returns the number of elements in the gradient tensor.
  int64_t NumElements(AbstractTensorHandle* tensor) const override;

  // Consumes references to the tensors in the gradient_tensors list and returns
  // a tensor with the result.
  AbstractTensorHandle* AggregateGradients(
      gtl::ArraySlice<AbstractTensorHandle*> gradient_tensors) const override;

struct TF_Library {
  void* lib_handle;
  TF_Buffer op_list;
};

struct TF_Graph {
  TF_Graph();

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

      status->status = TF_TensorToTensor(input_tensors[i], &input_tensor);
      if (!status->status.ok()) return;
      input_tensors_vector[i] = &input_tensor;
    }
  }

  // Create an inference context with dummy values, which will be updated later.
  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,

- `GenerateKey`: Takes a key ID and generates a new data key from a master key referenced by the key ID. It returns the new data key in two different forms: The plain data key and the data key encrypted using the master key.

- `DecryptKey`: Takes a key ID and an encrypted data key and returns the plain data key - the decryption of the encrypted data key using the master key referenced by the key ID - on success or an error otherwise.