TFE_DeleteContextOptions(opts);

  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // Use large matrices so that RPCs don't return before we get a chance
  // to call TFE_DeleteContext.
  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle100x100(ctx);
  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle100x100(ctx);

//     token: Bearer xxxxx # optional authentication token for the notification endpoint
//
//   retry:
//     attempts: 10 # number of retries for the job before giving up
//     delay: 500ms # least amount of delay between each retry

//go:generate msgp -file $GOFILE

// BatchJobExpirePurge type accepts non-negative versions to be retained

* **Bilgisayar görüsü**: bir görüntü milyonlarca pikselden oluşur, her pikselin 3 değeri / rengi vardır, bu pikseller üzerinde aynı anda bir şeyler hesaplamayı gerektiren işleme.
* **Makine Öğrenimi**: Çok sayıda "matris" ve "vektör" çarpımı gerektirir. Sayıları olan ve hepsini aynı anda çarpan büyük bir elektronik tablo düşünün.

  // `JobPodFailurePolicy` feature gate (disabled by default).
  // +optional
  optional PodFailurePolicy podFailurePolicy = 11;

  // Specifies the number of retries before marking this job failed.
  // Defaults to 6
  // +optional
  optional int32 backoffLimit = 7;

  // A label query over pods that should match the pod count.
  // Normally, the system sets this field for you.

    }
    assertThat(server.takeRequest().sequenceNumber).isEqualTo(0) // New connection.

    // Second call attempts the pooled connection, and it fails. Then it retries a new route which
    // succeeds.
    val response2 = client.newCall(request).execute()
    assertThat(response2.body.string()).isEqualTo("abc")

## Version 2.1.0

_2014-11-11_

 *  New: Typesafe APIs for interacting with cipher suites and TLS versions.
 *  Fix: Don't crash when mixing authorization challenges with upload retries.


## Version 2.1.0-RC1

_2014-11-04_

 *  **OkHttp now caches private responses**. We've changed from a shared cache
    to a private cache, and will now store responses that use an `Authorization`

* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Imagina en una enorme hoja de cálculo con números y tener que multiplicarlos todos al mismo tiempo.

* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

	runlock()
	getUsersSysType() UsersSysType
	loadPolicyDoc(ctx context.Context, policy string, m map[string]PolicyDoc) error
	loadPolicyDocWithRetry(ctx context.Context, policy string, m map[string]PolicyDoc, retries int) error
	loadPolicyDocs(ctx context.Context, m map[string]PolicyDoc) error
	loadUser(ctx context.Context, user string, userType IAMUserType, m map[string]UserIdentity) error

  <mime-type type="application/x-font-adobe-metric">
    <_comment>Adobe Font Metric</_comment>
    <glob pattern="*.afm"/>
    <glob pattern="*.acfm"/>
    <glob pattern="*.amfm"/>
    <magic priority="40">
      <match value="StartFontMetrics" type="string" offset="0"/>
    </magic>
  </mime-type>

  <mime-type type="application/x-font-printer-metric">
    <_comment>Printer Font Metric</_comment>