*   Added `jit_compile` as a settable property to `tf.keras.Model`.
 *   Added `synchronized` optional parameter to `layers.BatchNormalization`.

	}
}

// ExecObjectLayerAPINilTest - Sets the object layer to `nil`, and calls the registered object layer API endpoint,
// and assert the error response. The purpose is to validate the API handlers response when the object layer is uninitialized.

    branches:
      - master
      - r2.**
permissions:
  contents: read

jobs:
  build:
    # Don't do this in forks, and if labeled, only for 'kokoro:force-run'
    if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run'))
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:
        pyver: ['3.10']

    types:
      - opened
      - synchronize
      - reopened
      # For label-checker
      - labeled
      - unlabeled

jobs:
  labeler:
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
    - uses: actions/labeler@v5
      if: ${{ github.event.action != 'labeled' && github.event.action != 'unlabeled' }}
    - run: echo "Done adding labels"

import okhttp3.internal.platform.Platform
import okhttp3.internal.threadName
import okio.AsyncTimeout
import okio.Timeout

/**
 * Bridge between OkHttp's application and network layers. This class exposes high-level application
 * layer primitives: connections, requests, responses, and streams.
 *
 * This class supports [asynchronous canceling][cancel]. This is intended to have the smallest

name: Issue Manager

on:
  schedule:
    - cron: "13 22 * * *"
  issue_comment:
    types:
      - created
  issues:
    types:
      - labeled
  pull_request_target:
    types:
      - labeled
  workflow_dispatch:

permissions:
  issues: write
  pull-requests: write

jobs:
  issue-manager:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    steps:

# Some tf endpoints actually lives under Keras.
_current_module.layers = _KerasLazyLoader(
    globals(),
    submodule="__internal__.legacy.layers",
    name="layers",
    mode="v1")
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name(
      "tf_keras.api._v1.keras.__internal__.legacy.layers")
else:
  _module_dir = _module_util.get_parent_dir_for_name(

### Threads

#### Application's calling thread

The application-layer must block on writing I/O. We can't return from a write until we've pushed its bytes onto the socket. Otherwise, if the write fails we are unable to deliver its IOException to the application. We would have told the application layer that the write succeeded, but it didn't!

name: docs

on:
  push:
    branches:
      - master
  pull_request:
    types: [opened, labeled, unlabeled, synchronize]

permissions:
  contents: read

env:
  GRADLE_OPTS: "-Dorg.gradle.jvmargs=-Xmx4g -Dorg.gradle.daemon=false -Dkotlin.incremental=false"

jobs:
  test_docs:
    permissions:
      checks: write # for actions/upload-artifact
    runs-on: ubuntu-latest

	obj, err := newObjectLayer(ctx, mustGetPoolEndpoints(0, disks...))
	if err != nil {
		t.Fatal("Unexpected object layer initialization error", err)
	}

	_, ok := obj.(*erasureServerPools)
	if !ok {
		t.Fatal("Unexpected object layer detected", reflect.TypeOf(obj))
	}

	// Tests for Erasure object layer initialization.

	// Create temporary backend for the test server.
	nDisks = 16
	disks, err = getRandomDisks(nDisks)