// RUN: tac-translate -input-mlir -output-mlir -device-specs=GPU %s -o - 2>&1 | FileCheck %s

module {
func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> attributes {tf.entry_function = {inputs = "input0,input1,input2,input3", outputs = "output"}} {
  %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>

  func.func @__inference_pruned_131() -> tensor<*xf32> attributes {tf.entry_function = {control_outputs = "", inputs = "variable", outputs = "identity_retval_RetVal"}} {
    %0 = tf_executor.graph {

 * 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 UndeclaredBuildInputsDynamicGroovySettingsScriptIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements GroovyPluginImplementation {
    @Override
    String getLocation() {

extern const char* const kXlaClusterAttr;

// The attribute that marks certain inputs to a Node as required to be a
// constant at compile time.  If this attribute is present then the
// CompileTimeConstantInput information in the corresponding XlaOpKernel is
// ignored.
//
// The value for this attribute, if present, has to be a list of strings naming
// the inputs to the node that must be constant.

 * 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 ProcessGroovyMethods.execute}:
 * <pre>
 *     ProcessGroovyMethod.execute("echo 123")
 *     ProcessGroovyMethod.execute(["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.undeclared

abstract class BuildInputRead {
    abstract String getKotlinExpression();

    List<String> requiredImports() {
        Collections.emptyList()
    }

    String getJavaExpression() {

 * 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 UndeclaredBuildInputsDynamicGroovyBuildScriptPluginIntegrationTest extends AbstractUndeclaredBuildInputsIntegrationTest implements GroovyPluginImplementation {
    @Override
    String getLocation() {

                }
            }
        """
    }

    def "detects input file change just before the task is executed"() {
        def inputFile = file("input.txt")
        buildFile << """
            def inputFile = file("input.txt")
            def outputFile = file("build/output.txt")

            task consumer {
                inputs.file(inputFile)
                outputs.file(outputFile)
                doLast {

Unlike the TensorFlow Merge op, which requires inputs of some types to be
placed on the host, the _XlaMerge op can merge inputs of all types when
placed on the device. This prevents the need for copy operations, in
particular when an XLA cluster has int32 outputs. The _XlaMerge up does not
have a value_index output that identifies the chosen input.
)");

    RunOptions run_options;

    Tensor input_a = CreateInputTensor(shape, 0);
    Tensor input_b = CreateInputTensor(shape, shape.num_elements());
    Tensor input_c = CreateInputTensor(shape, 2 * shape.num_elements());
    TF_RETURN_IF_ERROR(session->Run(
        run_options,
        {std::make_pair("a", input_a), std::make_pair("b", input_b),
         std::make_pair("c", input_c)},
        {"m"}, {}, &golden_output_tensors, nullptr));