Call InitializeNumpyAPIForType() to make bfloat16 happy.

PiperOrigin-RevId: 296313339
Change-Id: If4f61d7de9b94860107f91e39fedc05d2807538d

tensorflow/compiler/xla/python/tpu_driver/client/tpu_client_extension.cc

@@ -25,6 +25,11 @@ namespace xla {
 namespace py = pybind11;
 
 PYBIND11_MODULE(tpu_client_extension, m) {
+  // Initializes the NumPy API for the use of the types module.
+  if (!InitializeNumpyAPIForTypes()) {
+    throw std::runtime_error("Unable to initialize Numpy API");
+  }
+
   py::class_<PyTpuClient, std::shared_ptr<PyTpuClient>>(m, "TpuClient")
       .def_static("Get", &PyTpuClient::Get, py::arg("worker"))
       .def("device_count", &PyTpuClient::device_count)