ASSERT_EQ(status, kTfLiteOk);

  const uint8_t* buffer = builder.GetBufferPointer();
  const Model* output_model = GetModel(buffer);
  ASSERT_TRUE(output_model);

  ASSERT_EQ(output_model->subgraphs()->size(), model_->subgraphs()->size());
  const auto quantized_graph = output_model->subgraphs()->Get(0);
  // A dequantize op should be added.
  ASSERT_EQ(quantized_graph->operators()->size(),

  ASSERT_TRUE(succeeded(res));
  ASSERT_EQ(2147483647, op.getLhsQuantizationMaxValAttr().getInt());
  ASSERT_EQ(-2147483648, op.getLhsQuantizationMinValAttr().getInt());
  ASSERT_EQ(2147483647, op.getRhsQuantizationMaxValAttr().getInt());
  ASSERT_EQ(-2147483648, op.getRhsQuantizationMinValAttr().getInt());
  ASSERT_EQ(2147483647, op.getOutputQuantizationMaxValAttr().getInt());

               params_->cond_graph, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  params_->cond_output = {less_than, 0};

  TF_Operation* add1 = Add(params_->body_inputs[0], params_->body_inputs[1],
                           params_->body_graph, s_, "add1");
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  TF_Operation* one = ScalarConst(1, params_->body_graph, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  StreamExecutor* executor = GetExecutor(0);
  const DeviceDescription& description = executor->GetDeviceDescription();
  ASSERT_EQ(description.name(), "TestName");
  ASSERT_EQ(description.device_vendor(), "TestVendor");
  ASSERT_EQ(description.pci_bus_id(), "TestPCIBusId");
  ASSERT_EQ(description.numa_node(), 123);
  ASSERT_EQ(description.memory_bandwidth(), 54);
}

TEST_F(StreamExecutorTest, DeviceDescriptionNumaNodeNotSet) {

  ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(status.get()));
  ASSERT_EQ(device_type, nullptr);
  ASSERT_EQ("Invalid handle", string(TF_Message(status.get())));

  TF_SetStatus(status.get(), TF_OK, "");

  int device_id = TFE_TensorHandleDeviceID(h, status.get());
  ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(status.get()));
  ASSERT_EQ(device_id, -1);

  TFE_Execute(func, &retvals[0], &num_retvals, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  ASSERT_EQ(1, num_retvals);
  TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteTensorHandle(retvals[0]);
  float sum = 0;
  ASSERT_EQ(sizeof(sum), TF_TensorByteSize(t));
  memcpy(&sum, TF_TensorData(t), TF_TensorByteSize(t));

          tensorflow::unwrap(saved_model));
  tensorflow::Variable* uninitialized_variable;
  ASSERT_EQ(absl::OkStatus(), model_api->GetVariable("uninitialized_variable",
                                                     &uninitialized_variable));
  ASSERT_EQ(tensorflow::DT_FLOAT, uninitialized_variable->dtype());

  ASSERT_EQ(absl::OkStatus(),
            model_api->GetVariable("sub_module.uninitialized_variable",

        }

    repr_ds = data_gen()
    self.assertIsNone(repr_dataset.get_num_samples(repr_ds))

    # Make sure that the __next__() is never called during the
    # get_num_samples call.
    self.assertLen(list(repr_ds), num_samples)

  def test_get_num_samples_returns_none_when_len_raises_error(self):
    class LenRaisingError:
      """A test-only class that raises an error when len() is called.

  EXPECT_EQ(xla_device_assignment->computation_count(), 2);
  ASSERT_EQ(xla_device_assignment->computation_devices_size(), 2);
  const auto& computation_device_0 =
      xla_device_assignment->computation_devices(0);
  ASSERT_EQ(computation_device_0.replica_device_ids_size(), 4);
  const auto& computation_device_1 =
      xla_device_assignment->computation_devices(1);
  ASSERT_EQ(computation_device_1.replica_device_ids_size(), 4);

        }

        void assertMet() {
            //can never be not met
        }
    }

    class SftpAllowAll implements SftpExpectation {

        final boolean failing = false
        final boolean missing = false

        boolean matches(Buffer buffer, int type, int id) {
            return true
        }

        void assertMet() {
            //can never be not met