- name: Checkout repository
        uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
      - name: Build binary and run python tests
        shell: bash
        run: |
          CI_DOCKER_BUILD_EXTRA_PARAMS="--pull --build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=1 --build-arg tf_project_name=tf_nightly_ci" \

  TF_GraphGetOpDef(graph, "MyFakeOp", buffer, status);
  EXPECT_EQ(TF_NOT_FOUND, TF_GetCode(status));
  ExpectHasSubstr(TF_Message(status),
                  "Op type not registered 'MyFakeOp' in binary");

  TF_DeleteBuffer(buffer);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(status);
}

void StringVectorToArrays(const std::vector<string>& v,

# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"
TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/"
TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse"

        with:
          ref: 'nightly'
      - name: Checkout repository
        if: ${{ github.event_name == 'push' }}
        uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
      - name: Build binary and run C++ tests
        shell: bash
        run: |
          is_nightly=0 && tf_project_name='tf_ci_ext_c' && ${{ github.event_name == 'schedule' }} && is_nightly=1 && tf_project_name='tf_nightly_ci_ext_c'

  quality requirements. For example, we check if the CLA is signed, PR has
  sufficient description, if applicable unit tests are added, if it is a
  reasonable contribution (meaning it is not a single liner cosmetic PR).

**2. Valid?**

-   If the PR passes all the quality checks then we go ahead and assign a
    reviewer.
-   If the PR didn't meet the validation criteria, we request for additional

    *   Added `TensorSpec` support for CompositeTensors.
    *   Added `tf.linalg.tridiagonal_solve` op.
    *   Added partial_pivoting input parameter to `tf.linalg.tridiagonal_solve`.
    *   Added gradient to `tf.linalg.tridiagonal_solve`.
    *   Added `tf.linalg.tridiagonal_mul op`.
    *   Added GPU implementation of `tf.linalg.tridiagonal_matmul`.
    *   Added `LinearOperatorToeplitz`.

        with:
          ref: 'nightly'
      - name: Checkout repository
        if: ${{ github.event_name == 'push' }}
        uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
      - name: Build binary and run python tests on nightly for all python versions
        shell: bash
        run: |

    "tf_monitoring_python_deps",
    "tf_native_cc_binary",
    "tsl_async_value_deps",
)
load(
    "//tensorflow:tensorflow.default.bzl",
    "ADDITIONAL_API_INDEXABLE_SETTINGS",
    "tf_cc_shared_library",
)
load(
    "@local_xla//xla/tsl/mkl:build_defs.bzl",
    "if_mkl_ml",
)
load(
    "//tensorflow/core/platform:build_config.bzl",
    "tf_additional_binary_deps",
)
load(

# Bazelisk manually. We enable this for macOS x86 builds as those VMs do not
# have Bazelisk pre-installed. "TFCI_MACOS_INSTALL_BAZELISK_URL" contains the
# link to the Bazelisk binary which needs to be downloaded.
if [[ "${TFCI_MACOS_INSTALL_BAZELISK_ENABLE}" == 1 ]]; then
  sudo wget --no-verbose -O "/usr/local/bin/bazel" "${TFCI_MACOS_INSTALL_BAZELISK_URL}"
  chmod +x "/usr/local/bin/bazel"
fi

    }
    VLOG(1) << "Adding func to graph: " << fdef_to_load.DebugString();
    std::vector<char> binary_proto_buf(fdef_to_load.ByteSizeLong());
    fdef_to_load.SerializeToArray(binary_proto_buf.data(),
                                  binary_proto_buf.size());
    TF_Function* func = TF_FunctionImportFunctionDef(
        binary_proto_buf.data(), binary_proto_buf.size(), status);
    if (!status->status.ok()) return {};