Flatten(value, &args);
  std::vector<AbstractTensorHandle*> outs(
      GetFlatSize(concrete_fn.output_signature));
  TF_RETURN_IF_ERROR(
      ExecuteFunction(concrete_fn.trace, ctx, args, absl::MakeSpan(outs)));
  auto cleanup_tensors = absl::MakeCleanup([outs]() {
    for (auto t : outs) {
      t->Unref();
    }
  });
  return Unflatten(outs, concrete_fn.output_signature);
}

	}
	cmd.Env = append(cmd.Environ(), fmt.Sprintf("%s=1", executable_EnvVar))
	out, err := cmd.CombinedOutput()
	if err != nil {
		t.Fatalf("exec(self) failed: %v", err)
	}
	outs := string(out)
	if !filepath.IsAbs(outs) {
		t.Fatalf("Child returned %q, want an absolute path", out)
	}
	if !sameFile(outs, ep) {
		t.Fatalf("Child returned %q, not the same file as %q", out, ep)
	}
}

func sameFile(fn1, fn2 string) bool {

)

[[
    genrule(
        name = "gen_" + config_file,
        testonly = 1,
        srcs = [template_file],
        outs = [config_file],
        cmd = ("sed " + sed_replace + " " +
               "$(location " + template_file + ") " +
               "> $(OUTS)"),
        tags = ["manual"],
    ),
    tf_library(
        name = bench_name,
        testonly = 1,
        config = config_file,

			mustRun(t, cmd)

			cmd = hangProneCmd(outPath)
			cmd.Dir = dir.Base()
			outb, err := cmd.CombinedOutput()
			out := string(outb)
			if err == nil {
				t.Fatalf("fuzzing succeeded unexpectedly; output:\n%s", out)
			}
			if !strings.Contains(out, tc.expectedError) {
				t.Errorf("exited without expected error %q; got\n%s", tc.expectedError, out)
			}
		})
	}
}

ret=$?
function cleanup() {
  rm -f "${OUTPUT}"
}

trap cleanup EXIT

if [[ ${ret} -eq 0 ]];then
  cat "${OUTPUT}"
else
  # ignore NotFound errors
  OUT2=$(grep -v NotFound "${OUTPUT}")
  if [[ -n ${OUT2} ]];then
    cat "${OUTPUT}"
    exit ${ret}
  fi
fi

# wait for 30 sec for bookinfo to clean up
sleep 30

        srcs_version = "PY3",
        python_version = "PY3",
        deps = py_deps,
    )

    registered_op = "registered_" + name
    native.genrule(
        name = registered_op,
        srcs = [],
        outs = [name + ".inc.cc"],
        cmd = "$(location %s) --output=$@ --gen_register_op=true" % gen_op_lib_exec,
        tools = [":" + gen_op_lib_exec],
        tags = tags,
    )

    native.cc_library(

			}
		}
	}

	outb, err = vcsBzr.runOutputVerboseOnly(rootDir, "status")
	if err != nil {
		return Status{}, err
	}

	// Skip warning when working directory is set to an older revision.
	if bytes.HasPrefix(outb, []byte("working tree is out of date")) {
		i := bytes.IndexByte(outb, '\n')
		if i < 0 {
			i = len(outb)
		}
		outb = outb[:i]
	}
	uncommitted := len(outb) > 0

	stanza := regexp.MustCompile(`^(.*): nosplit stack over \d+ byte limit\n(.*\n(?: .*\n)*)`)
	// Strip comments from cmd/go
	out = regexp.MustCompile(`(?m)^#.*\n`).ReplaceAllString(out, "")
	for len(out) > 0 {
		m := stanza.FindStringSubmatch(out)
		if m == nil {
			t.Fatalf("unexpected output:\n%s", out)
		}
		out = out[len(m[0]):]
		fn := m[1]
		got := m[2]

		want, ok := wantMap[fn]
		if !ok {

}

def GetTpuHostDeviceOp : TensorflowMlrtTpu_Op<"get_tpu_host_device", [Pure]> {
  let summary = "get the tpu host allocator that implements tensorflow::Device";

  let results = (outs
    TFDeviceType:$device
  );

  let assemblyFormat = "attr-dict";
}

def CompileAndExecuteOp : TensorflowMlrtTpu_Op<"compile_and_execute"> {
  let summary = "tpu compile and execute operation";

    DefaultValuedOptionalAttr<I64Attr, "-128">:$output_quantization_min_val,
    DefaultValuedOptionalAttr<I64Attr, "127">:$output_quantization_max_val
  );

  let results = (outs
    TensorOf<[TF_Qint32]>:$output
  );

  TF_DerivedOperandTypeAttr LhsT = TF_DerivedOperandTypeAttr<0>;
  TF_DerivedOperandTypeAttr RhsT = TF_DerivedOperandTypeAttr<1>;