}

    def "out-of-date when any input property removed"() {
        given:
        execute(builder.withProperty("prop2", "value").build())

        expect:
        outOfDate(unitOfWork, "Input property 'prop2' has been removed for ${unitOfWork.displayName}")
    }

    def "up to date when no inputs"() {
        when:

          th->CopyToDevice(*context, /*d=*/nullptr, &inputs_storage.back()));
      inputs[i + offset] = &inputs_storage.back();
    } else {
      inputs[i + offset] = t;
    }
  }

  if (dev != nullptr) {
    TF_RETURN_IF_ERROR(GetVariableInfosFromInputs(dev->resource_manager(), dev,
                                                  inputs, resource_arg_indices,
                                                  &variable_infos));

// merging same input values if they're identical. These optimizations are
// desirable but not for those TFLite ops which have variable tensors as inputs.
// Yes, they have identical input values, but those identical values are
// "stateful", their values can change during invocations.
//
// A typical example is unidirectional_sequence_lstm have two variable tensor

                'typeName' : 'MyTask',
                'propertyName' : 'setPropertyInput',
            ]
        }
    }

    def "detects problems with file inputs"() {
        file("input.txt").text = "input"
        file("input").createDir()

        javaTaskSource << """
            import org.gradle.api.*;
            import org.gradle.api.file.*;
            import org.gradle.api.tasks.*;

    def "configuration inputs are tracked during task graph serialization"() {
        given:
        def configurationCache = newConfigurationCacheFixture()

        and: "a project that has a provider having undeclared configuration inputs, which is linked to a task"
        buildFile("""
            abstract class MyTask extends DefaultTask {
                @Input

    }

    static void assertDeclaredAsInput(String dir) {
        String inputs = System.getProperty("declaredSampleInputs")
        assert inputs: "Must declare source directory as input: 'integTest.usesJavadocCodeSnippets.set(true)'"
        assert inputs == dir
    }

    static void runSamplesFromFile(File file, Closure runner) {
        String text = file.text

    if (op.getAdjX()) std::swap(equation[3], equation[4]);
    if (op.getAdjY()) std::swap(equation[6 + 3], equation[6 + 4]);

    rewriter.replaceOpWithNewOp<TF::EinsumOp>(
        op, op.getType(),
        /*inputs=*/ValueRange({input_lhs, input_rhs}),
        /*equation=*/equation);

    return success();
  }
};

#define GEN_PASS_DEF_BATCHMATMULTOEINSUMPASS

    %handle_0 = "tf.VarHandleOp"() {container="c", shared_name="a"} : () -> tensor<!tf_type.resource<tensor<1x10xf32>>>
    %handle_1 = "tf.VarHandleOp"() {container="c", shared_name="b"} : () -> tensor<!tf_type.resource<tensor<1x10xi64>>>
    %0 = "tf.ReadVariableOp"(%handle_0) : (tensor<!tf_type.resource<tensor<1x10xf32>>>) -> tensor<1x10xf32>

Status GetVariableInfosFromInputs(ResourceMgr* rm, DeviceBase* dev,
                                  absl::Span<const Tensor* const> inputs,
                                  absl::Span<const int> variable_indices,
                                  std::vector<VariableInfo>* result) {
  return GetVariableInfosFromInputs(rm, dev, inputs, variable_indices, nullptr,
                                    result);
}

>;

// Removes `stablehlo.custom_call @Sharding`. Assumes this call always accepts
// one input. Other attributes are ignored.
def RemoveShardingCustomCall : Pat<
  (StableHLO_CustomCallOp (variadic $input0), $call_target_name, $_, $_, $_, $_, $_, $_, $_),
  (replaceWithValue $input0),