adding fp16 8gpu test

official/recommendation/ncf_keras_benchmark.py

@@ -341,6 +341,22 @@ class NCFKerasAccuracy(NCFKerasBenchmarkBase):
     FLAGS.epsilon = 1e-8
     self._run_and_report_benchmark_mlperf_like()
 
+  def benchmark_xla_8_gpu_ctl_fp16_mlperf_like(self):
+    """8 GPU using CTL with XLA."""
+    self._setup()
+    FLAGS.keras_use_ctl = True
+    FLAGS.enable_xla = True
+    FLAGS.num_gpus = 8
+    FLAGS.train_epochs = 17
+    FLAGS.batch_size = 1048576
+    FLAGS.learning_rate = 0.0045
+    FLAGS.beta1 = 0.25
+    FLAGS.beta2 = 0.5
+    FLAGS.epsilon = 1e-8
+    FLAGS.dtype = 'fp16'
+    FLAGS.loss_scale = 8192
+    self._run_and_report_benchmark_mlperf_like()
+
 
 class NCFKerasSynth(NCFKerasBenchmarkBase):
   """Benchmark NCF model using synthetic data."""