TypeAttr::get(cast<MlirTensor>(inputs.front())->getElementType());
    }
  } else if (!arg_def.type_list_attr().empty()) {
    // TODO(aminim): handle ref variable.
    SmallVector<Attribute, 8> types;
    types.reserve(inputs.size());
    for (AbstractTensorHandle* input : inputs)
      types.push_back(TypeAttr::get(cast<MlirTensor>(input)->getElementType()));

    }

    // Populate inputs.
    // UnidirectionalSequenceRnn is expected to have 5 inputs, and none of them
    // are optional inputs.
    SmallVector<Value, 5> inputs;
    for (int i = 0; i < 5; ++i) {
      inputs.push_back(op->getOperand(i));
    }

    // Populate outputs.
    // UnidirectionalSequenceRnn should only have 1 output, and that is the
    // original ophint converted node's 2nd output.

    def "fails build when packing archive fails"() {
        when:
        file("input.txt") << "data"

        // Just a way to induce a packing error, i.e. corrupt/partial archive
        buildFile << """
            apply plugin: "base"
            task customTask {
                inputs.file "input.txt"
                outputs.file "build/output" withPropertyName "output"
                outputs.cacheIf { true }

)

var Decode cbor.DecMode = func() cbor.DecMode {
	decode, err := cbor.DecOptions{
		// Maps with duplicate keys are well-formed but invalid according to the CBOR spec
		// and never acceptable. Unlike the JSON serializer, inputs containing duplicate map
		// keys are rejected outright and not surfaced as a strict decoding error.
		DupMapKey: cbor.DupMapKeyEnforcedAPF,

		// For JSON parity, decoding an RFC3339 string into time.Time needs to be accepted

  // The name assigned to the function which is the import result of the given
  // graph. If empty, a default one will be used.
  std::string graph_func_name;
  // Maps input node names to node data types and shapes.
  InputArrays inputs;
  // name:index strings for the data outputs.
  std::vector<string> outputs;
  // name strings for the control outputs.
  std::vector<string> control_outputs;

  }

  func.func @serving_default(%arg0: tensor<i64> {tf_saved_model.index_path = ["x"]}) -> (tensor<*x!tf_type.string> {tf_saved_model.index_path = ["r"]})
  attributes {tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "hash_table_Lookup/LookupTableFindV2:0"}, tf_saved_model.exported_names = ["serving_default"]} {
    %cst = arith.constant dense<"f"> : tensor<!tf_type.string>

using tensorflow::StatusOr;

// TODO(srbs): Move this to unified execution API.
tensorflow::Status ExecuteFunction(
    AbstractFunctionPtr trace, AbstractContext* ctx,
    absl::Span<tensorflow::AbstractTensorHandle* const> inputs,
    absl::Span<tensorflow::AbstractTensorHandle*> outputs) {
  // TODO(srbs): Provide a function execution API on ctx so that we do not
  // expose the internals of how functions are to be executed here.
  std::string fname;

      }

      // Collect all the quantized inputs and "clone" the matched op by these
      // inputs.
      SmallVector<Value, 4> inputs;
      inputs.reserve(quantizing_op->getNumOperands());
      for (const auto& operand : quantizing_op->getOperands()) {
        Type operand_type = operand.getType();
        if (operand_type.isa<NoneType>()) {
          inputs.push_back(operand);
          continue;
        }

        }

        public <T, U> List<U> transformAll(Collection<T> inputs, ValueOrTransformProvider<T, U> valueOrTransformProvider) {
            assert !inputs.isEmpty();
            return cache.useCache(() -> {

                final List<U> results = new ArrayList<>(inputs.size());
                final List<Callable<Void>> transforms = new ArrayList<>(inputs.size());
                final Set<HashCode> seen = new HashSet<>();

  // The computation operand can either be:
  //   1) a TPUPartitionedInput Op if the input has a non-resource type;
  //   2) a ReadVariableOp else.
  //
  // Iterate through input arguments to the entry block of
  // tf_device.ClusterFunc. For input ops, look for XlaSharding ops.
  // XlaSharding ops can:
  //   1) Directly follow the input argument if input argument has non-resource
  //      types.