name = "is_cuda_enabled_and_windows",
    match_all = [
        ":is_cuda_enabled",
        ":windows",
    ],
)

# Config setting to use in select()s to distinguish open source build from
# google internal build on configurable attributes.
#
# For non-configurable distinction between OSS and Google builds, see
# `if_oss()` and `if_google()` macros in tensorflow.bzl.
config_setting(
    name = "oss",

name: Reusable Build
on:
  workflow_call:
    inputs:
      runner:
        description: 'Which runner should the workflow run on?'
        required: true
        type: string
      tfci:
        description: 'TFCI environment variable'
        required: true
        type: string

permissions:
  contents: read

jobs:
  build-and-test:
    runs-on: ${{ inputs.runner }}

compile_pip_requirements(
    name = "requirements",
    srcs = [
        "nvidia-requirements.txt",
        "requirements.in",
        ":nvidia_constraints",
    ],
    extra_args = [
        "--allow-unsafe",
        "--build-isolation",
        "--rebuild",
        "-c $(location :nvidia_constraints)",
    ],
    generate_hashes = True,
    requirements_txt = REQUIREMENTS,

jobs:
  #build-and-test-linux-x86-cpu:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-x86-n2-16'
  #    tfci: 'py313,linux_x86,rbe'

  #build-and-test-linux-x86-cuda:
  #  uses: ./.github/workflows/build-reusable.yml
  #  with:
  #    runner: 'linux-x86-n4-32'
  #    tfci: 'py313,linux_x86_cuda'

  #build-and-test-arm64:

József Bartók <******@****.***> 1774424991 +0200

        "subprojects": [
          "antlr",
          "base-diagnostics",
          "base-services",
          "build-cache",
          "build-cache-http",
          "build-cache-local",
          "build-cache-spi",
          "build-configuration",
          "build-init",
          "build-profile",
          "composite-builds",
          "configuration-cache",
          "core",
          "core-api",

*   [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
    package from source.

## Continuous build status

You can find more community-supported platforms and configurations in the
[TensorFlow SIG Build Community Builds Table](https://github.com/tensorflow/build#community-supported-tensorflow-builds).

### Official Builds

remote build cache nodes to speed up local builds when developing Gradle. By default, the build is [configured](https://github.com/gradle/gradle-org-conventions-plugin#what-it-does) to use the build cache node in the EU region.

The build cache has anonymous read access, so you don't need to authenticate in order to use it. You can use a different build cache node by specifying `-Ddevelocity.edge.discovery=false -DcacheNode=us` for a build cache node in the US or `-Ddevelocity.edge.discovery=false...

    "name": "build-cache-example-client",
    "path": "platforms/core-execution/build-cache-example-client",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "build-cache-http",
    "path": "platforms/core-execution/build-cache-http",
    "unitTests": false,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "build-cache-local",

                  <project path="$PROJECT_DIR$/build-logic/uber-plugins" />
                </projects>
              </build>
              <build path="$PROJECT_DIR$/build-logic-commons" name="build-logic-commons">
                <projects>
                  <project path="$PROJECT_DIR$/build-logic-commons" />
                  <project path="$PROJECT_DIR$/build-logic-commons/basics" />