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

Abstract classes Concrete classes Cycles Name Number of classes Best Fragment Size Girth Radius Diameter Layer Package Cycles Name Number of packagess Best Fragment Size Girth Radius Diameter Layer Layers Layer Number of classes Classes of layer : Classes and Packages Click on or to go to the cycle to which the class/package belongs. Class/Package Size Used by Uses internal Uses external Layer Source(s) # Member of cycle Classes using : uses: true uses: Packages using : uses: true uses: Classes of...

	}
}

// 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.

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:

    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@v6
      if: ${{ github.event.action != 'labeled' && github.event.action != 'unlabeled' }}
    - run: echo "Done adding labels"

### 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!

# 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(

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

package jcifs.smb1.util.transport;

/**
 * Abstract base class for transport layer response objects.
 * Represents a response that can be received through the SMB1 transport layer.
 */
public abstract class Response {

    /**
     * Default constructor for Response.
     */
    public Response() {
        // Default constructor
    }

    /**
     * The expiration time for this response in milliseconds.
     */