@Override
    public Identity identify(Map<String, ValueSnapshot> identityInputs, Map<String, CurrentFileCollectionFingerprint> identityFileInputs) {
        Hasher hasher = Hashing.newHasher();
        identityInputs.values().forEach(value -> requireNonNull(value).appendToHasher(hasher));
        String identity = hasher.hash().toString();
        return () -> identity;
    }

    @Override

bool IsTrivialUnaryOperation(Operation* op) {
  return llvm::isa<TF::CastOp, TF::IdentityOp>(op);
}

// Adds outside compilation attributes to unary ops such as Identity/Cast ops
// at the head of TPU computation that is used only by other outside compiled
// ops. Identity ops and Cast ops is commonly added to the start of TPU
// computation. Adding/expanding outside compilation attributes to these ops

    final delegate = Mock(DeferredExecutionAwareStep)
    final work = Stub(UnitOfWork)

    def setup() {
        _ * work.displayName >> displayName
        _ * work.identify(_, _) >> identity
    }

    protected void assertNoOperation() {
        assert buildOperationRunner.log.records.empty
    }

        // capturing the normalized path and the snapshot of the raw contents, so we are using these to determine the identity.
        // We do this because external artifact transforms typically need to identify themselves redundantly many times during a build.

			// To migrate away from encryption, user can specify an identity transformer higher up
			// (in the config file) than the encryption transformer. In that scenario, the identity transformer needs to
			// identify (during reads from disk) whether the data being read is encrypted or not. If the data is encrypted,

        Map<String, OutputPropertySpec> outputs = outputFileSpecs + outputDirSpecs

        return new MutableUnitOfWork() {
            boolean executed

            @Override
            UnitOfWork.Identity identify(Map<String, ValueSnapshot> identityInputs, Map<String, CurrentFileCollectionFingerprint> identityFileInputs) {
                new SimpleIdentity("myId")
            }

            @Override

    for (auto resource_user : resource_users_to_visit) {
      add_resource_op_to_list(resource_user);

      // Account for pass-through identity ops.
      if (auto pass_through_identity =
              llvm::dyn_cast<TF::IdentityOp>(resource_user)) {
        for (auto identity_user :
             pass_through_identity.getOutput().getUsers()) {
          new_resource_users.emplace_back(identity_user);

  func.func private @internal_conv3d_fn(
                         %input : tensor<*xf32>, %filter : tensor<*xi8>) -> tensor<*xf32> {

   // Use identity op to avoid the filter being constant-folded.
    %identity = "tf.Identity"(%filter) : (tensor<*xi8>) -> tensor<*xi8>
    %2 = "tf.Cast"(%identity) {Truncate = false} : (tensor<*xi8>) -> tensor<*xf32>
    %3 = "tf.Conv3D"(%input, %2) {
      padding = "VALID", strides = [1, 1, 1, 1, 1],

        includePathConfiguration.getAttributes().attribute(OPTIMIZED_ATTRIBUTE, identity.isOptimized());
        includePathConfiguration.getAttributes().attribute(OperatingSystemFamily.OPERATING_SYSTEM_ATTRIBUTE, identity.getTargetMachine().getOperatingSystemFamily());
        includePathConfiguration.getAttributes().attribute(MachineArchitecture.ARCHITECTURE_ATTRIBUTE, identity.getTargetMachine().getArchitecture());

        private final Identity identity;
        private final OriginMetadata originMetadata;

        public DefaultExecuteDeferredWorkProgressDetails(
            @Nullable String workType,
            Identity identity,
            OriginMetadata originMetadata
        ) {
            this.workType = workType;
            this.identity = identity;
            this.originMetadata = originMetadata;