compiling from source placeholder: validations: required: false

-   type: input id: Compiler attributes: label: GCC/Compiler version
    description: if compiling from source placeholder: validations: required:
    false

-   type: input id: Cuda attributes: label: CUDA/cuDNN version description:
    placeholder: validations: required: false

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']
    steps:
      - name: Stop old running containers (if any)
        shell: bash

    status_ = TestTensorHandleWithDims<float, TF_FLOAT>(
        immediate_execution_ctx_.get(), X_vals, X_dims, 2, &X_raw);
    ASSERT_EQ(errors::OK, status_.code()) << status_.message();
    X.reset(X_raw);
  }
  // Label
  int32_t Y_vals[] = {1, 0, 1};
  int64_t Y_dims[] = {3};
  AbstractTensorHandlePtr Y;
  {
    AbstractTensorHandle* Y_raw;
    status_ = TestTensorHandleWithDims<int32_t, TF_INT32>(

                                  const char* label1, const char* label2);

// APIs for String Gauge with 3 labels.
typedef struct TFE_MonitoringStringGauge3 TFE_MonitoringStringGauge3;
TF_CAPI_EXPORT extern TFE_MonitoringStringGauge3* TFE_MonitoringNewStringGauge3(
    const char* name, TF_Status* out_status, const char* description,
    const char* label1, const char* label2, const char* label3);

}

TEST(CAPI, MonitoringCellReader1) {
  auto counter_name = "test/counter1";
  auto label_name = "test/label";
  auto* counter = CreateCounter1(counter_name, label_name);
  auto* reader = TFE_MonitoringNewCounterReader(counter_name);
  IncrementCounter1(counter, label_name);

  int64_t actual = TFE_MonitoringReadCounter1(reader, label_name);

  CHECK_EQ(actual, 1);
}

struct TFE_MonitoringCounter {
  template <typename... LabelDesc>
  TFE_MonitoringCounter(const char* name, const char* description,
                        LabelDesc&&... label) {
    counter = absl::WrapUnique(tensorflow::monitoring::Counter<NumLabels>::New(
        name, description, label...));
  }

  std::unique_ptr<tensorflow::monitoring::Counter<NumLabels>> counter;
};

struct TFE_MonitoringCounter0 : TFE_MonitoringCounter<0> {

  auto* counter2 = TFE_MonitoringNewCounter2("test/counter2", status,
                                             "description", "label1", "label2");
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);
  auto* cell2 = TFE_MonitoringGetCellCounter2(counter2, "foo", "bar");
  TFE_MonitoringCounterCellIncrementBy(cell2, 2);
  EXPECT_EQ(TFE_MonitoringCounterCellValue(cell2), 2);

  int64_t result = cell_reader->Read();

  return result;
}

int64_t TFE_MonitoringReadCounter1(TFE_MonitoringCounterReader* cell_reader,
                                   const char* label) {
  int64_t result = cell_reader->Read(label);

  return result;

start by trying one of the smaller/easier issues here i.e.
[issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue)
and then take a look at the
[issues with the "contributions welcome" label](https://github.com/tensorflow/tensorflow/labels/stat%3Acontributions%20welcome).
These are issues that we believe are particularly well suited for outside

        id: date
      -
        name: Build containers, and push to GCR only if the 'build and push to gcr.io for staging' label is applied
        id: docker_build
        uses: docker/build-push-action@c56af957549030174b10d6867f20e78cfd7debc5 # v3.2.0
        with:
          push: ${{ contains(github.event.pull_request.labels.*.name, 'build and push to gcr.io for staging') }}
          context: ./tensorflow/tools/tf_sig_build_dockerfiles