Internal change

PiperOrigin-RevId: 365082527

Author: tensorflower-gardener

official/benchmark/bert_pretrain_benchmark.py

@@ -315,6 +315,27 @@ def benchmark_perf_8x8_tpu_bf16_seq128_10k_steps(self):
         report_accuracy=False,
         ds_type=FLAGS.distribution_strategy)
 
+  @owner_utils.Owner('tf-model-garden')
+  def benchmark_perf_8x16_tpu_bf16_seq128_1k_steps(self):
+    """Test bert pretraining with 8x16 TPU for 1000 steps."""
+    self._setup()
+    self._specify_common_flags()
+    self._specify_tpu_common_flags()
+    FLAGS.train_batch_size = 4096
+    FLAGS.warmup_steps = 0
+    FLAGS.num_steps_per_epoch = 1000
+    FLAGS.num_train_epochs = 1
+    FLAGS.steps_per_loop = 500
+    FLAGS.model_dir = self._get_model_dir(
+        'benchmark_perf_8x16_tpu_bf16_seq128_1k_steps')
+    summary_path = os.path.join(FLAGS.model_dir,
+                                'summaries/training_summary.txt')
+    # Disable accuracy check.
+    self._run_and_report_benchmark(
+        summary_path=summary_path,
+        report_accuracy=False,
+        ds_type=FLAGS.distribution_strategy)
+
   @owner_utils.Owner('tf-dist-strat')
   def benchmark_accuracy_1x8_gpu_fp16_seq128_15k_steps(self):
     """Test bert pretraining with 8 GPU for 15k steps."""