build:mkl --define=build_with_mkl=true --define=enable_mkl=true
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0
build:mkl --define=build_with_openmp=true
build:mkl -c opt

# config to build OneDNN backend with a user specified threadpool.
build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0

  //
  // This field is not supported when watch is true. Clients may start a watch from the last
  // resourceVersion value returned by the server and not miss any modifications.
  optional string continue = 8;

  // `sendInitialEvents=true` may be set together with `watch=true`.
  // In that case, the watch stream will begin with synthetic events to

                alreadyEncoded = true,
                strict = true,
                plusIsSpace = true,
              )
          }
        }

        encodedFragment =
          encodedFragment?.canonicalize(
            encodeSet = FRAGMENT_ENCODE_SET_URI,
            alreadyEncoded = true,
            strict = true,
            unicodeAllowed = true,
          )
      }

    server.useHttps(handshakeCertificates.sslSocketFactory())
    val queueDispatcher = QueueDispatcher()
    queueDispatcher.enqueueResponse(MockResponse(inTunnel = true))
    queueDispatcher.enqueueResponse(MockResponse(inTunnel = true))
    queueDispatcher.enqueueResponse(MockResponse(body = "call2 response"))
    queueDispatcher.enqueueResponse(MockResponse(body = "call1 response"))

                    }
            }

            // Specially handle @ExtensionFunctionType
            if (dispatchReceiver?.resolvedType?.isExtensionFunctionType == true) {
                firstArgIsExtensionReceiver = true
            }

            val dispatchReceiverValue: KtReceiverValue?
            val extensionReceiverValue: KtReceiverValue?
            when (explicitReceiverKind) {

    simultaneously. This can be used to implement interactive conversations within a single HTTP
    call.

    Create duplex calls by overriding the new `RequestBody.isDuplex()` method to return true.
    This simple option dramatically changes the behavior of the request body and of the entire
    call.

    The `RequestBody.writeTo()` method may now retain a reference to the provided sink and

        "dynamic_loaded_kernels": "true",
        "framework_shared_object": "true",
    },
    visibility = ["//visibility:public"],
)

config_setting(
    name = "using_rocm_hipcc",
    define_values = {"using_rocm_hipcc": "true"},
)

config_setting(
    name = "override_eigen_strong_inline",
    define_values = {"override_eigen_strong_inline": "true"},
    visibility = ["//visibility:public"],
)

      it.writeUtf8("Hello")
    }

    // Simulate a severe Filesystem failure on the first initialization.
    filesystem.setFaultyDelete(cacheDir / "k1.0.tmp", true)
    filesystem.setFaultyDelete(cacheDir, true)
    cache =
      DiskLruCache(filesystem, cacheDir, appVersion, 2, Int.MAX_VALUE.toLong(), taskRunner).also {
        toClose.add(it)
      }
    assertFailsWith<IOException> {

    internal var eventListenerFactory: EventListener.Factory = EventListener.NONE.asFactory()
    internal var retryOnConnectionFailure = true
    internal var fastFallback = true
    internal var authenticator: Authenticator = Authenticator.NONE
    internal var followRedirects = true
    internal var followSslRedirects = true
    internal var cookieJar: CookieJar = CookieJar.NO_COOKIES
    internal var cache: Cache? = null

```

### Step 3: Test on RabbitMQ

The python program below waits on the queue exchange `bucketevents` and prints event notifications on the console. We use [Pika Python Client](https://www.rabbitmq.com/tutorials/tutorial-three-python.html) library to do this.

```py
#!/usr/bin/env python
import pika

connection = pika.BlockingConnection(pika.ConnectionParameters(
        host='localhost'))
channel = connection.channel()