using tensorflow::TF_StatusPtr;

Status IdentityNModel(AbstractContext* ctx,
                      absl::Span<AbstractTensorHandle* const> inputs,
                      absl::Span<AbstractTensorHandle*> outputs) {
  std::vector<AbstractTensorHandle*> temp_outputs(2);
  TF_RETURN_IF_ERROR(
      ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN"));
  // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed

          "is_variable": true,
          "quantization": {
            "min": [-0.5],
            "max": [0.5]
          }
        }
      ],
      "inputs": [0],
      "outputs": [24],
      "operators": [
        {
          "inputs": [
            0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
          ],
          "outputs": [24],
          "intermediates": [

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.process.instrument

/**
 * Test cases for two-argument {@code Runtime.exec}:
 * <pre>
 *     Runtime.getRuntime().exec("echo 123", env)
 *     Runtime.getRuntime().exec(["echo", "123"], env)
 * </pre>
 */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.undeclared

class UndeclaredBuildInputsJavaBuildSrcIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements JavaPluginImplementation {
    @Override
    String getLocation() {

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.undeclared

class UndeclaredBuildInputsKotlinScriptPluginIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements KotlinPluginImplementation {
    def script = file("plugin.gradle.kts")

    @Override

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.process.instrument

/**
 * Test cases for triple-argument String and String collection {@code execute} extension:
 * <pre>
 *     "echo 123".execute(env, cwd)
 *     ["echo", "123"].execute(env, cwd)
 * </pre>
 */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.process.instrument

/**
 * Test cases for single-argument {@code Runtime.exec}:
 * <pre>
 *     Runtime.getRuntime().exec("echo 123")
 *     Runtime.getRuntime().exec(["echo", "123"])
 * </pre>
 */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.internal.cc.impl.inputs.process.instrument

/**
 * Test cases for triple-argument {@code Runtime.exec}:
 * <pre>
 *     Runtime.getRuntime().exec("echo 123", env, cwd)
 *     Runtime.getRuntime().exec(["echo", "123"], env, cwd)
 * </pre>

// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-insert-calibration-statistics-saver='aggregator-ops-to-ignore=skipping_id' | FileCheck %s

func.func @serving_default(%arg0: tensor<1x3x4x3xf32>) -> (tensor<1x2x2x2xf32>) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}} {

  func.func @serving_default(%arg0: tensor<1x32x32x128xf32> {tf_saved_model.index_path = ["a"]}) -> (tensor<1x64x64x128xf32> {tf_saved_model.index_path = ["b"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "c:0", outputs = "d:0"}, tf_saved_model.exported_names = ["serving_default"]} {
      %0  = "tf.Const"() {value = dense<[56, 904]> : tensor<2xi32>} : () -> tensor<2xi32>