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Commit 97e04472 authored by A. Unique TensorFlower's avatar A. Unique TensorFlower
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Updating Bert Squad batch size 4. XLA batch size still at 3, as it OOMs at 4. 

PiperOrigin-RevId: 290339640
parent abd510a6
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Showing with 6 additions and 6 deletions
official/benchmark/bert_squad_benchmark.py
View file @ 97e04472
...@@ -167,7 +167,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase): ...@@ -167,7 +167,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase):
self._setup() self._setup()
self.num_gpus = 1 self.num_gpus = 1
FLAGS.model_dir = self._get_model_dir('benchmark_1_gpu_squad') FLAGS.model_dir = self._get_model_dir('benchmark_1_gpu_squad')
FLAGS.train_batch_size = 3 FLAGS.train_batch_size = 4
self._run_and_report_benchmark() self._run_and_report_benchmark()
...@@ -189,7 +189,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase): ...@@ -189,7 +189,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase):
self._setup() self._setup()
self.num_gpus = 1 self.num_gpus = 1
FLAGS.model_dir = self._get_model_dir('benchmark_1_gpu_no_dist_strat_squad') FLAGS.model_dir = self._get_model_dir('benchmark_1_gpu_no_dist_strat_squad')
FLAGS.train_batch_size = 3 FLAGS.train_batch_size = 4
self._run_and_report_benchmark(use_ds=False) self._run_and_report_benchmark(use_ds=False)
...@@ -200,7 +200,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase): ...@@ -200,7 +200,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase):
self.num_gpus = 1 self.num_gpus = 1
FLAGS.model_dir = self._get_model_dir( FLAGS.model_dir = self._get_model_dir(
'benchmark_1_gpu_eager_no_dist_strat_squad') 'benchmark_1_gpu_eager_no_dist_strat_squad')
FLAGS.train_batch_size = 3 FLAGS.train_batch_size = 4
self._run_and_report_benchmark(use_ds=False, run_eagerly=True) self._run_and_report_benchmark(use_ds=False, run_eagerly=True)
...@@ -210,7 +210,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase): ...@@ -210,7 +210,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase):
self._setup() self._setup()
self.num_gpus = 2 self.num_gpus = 2
FLAGS.model_dir = self._get_model_dir('benchmark_2_gpu_squad') FLAGS.model_dir = self._get_model_dir('benchmark_2_gpu_squad')
FLAGS.train_batch_size = 6 FLAGS.train_batch_size = 8
self._run_and_report_benchmark() self._run_and_report_benchmark()
...@@ -220,7 +220,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase): ...@@ -220,7 +220,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase):
self._setup() self._setup()
self.num_gpus = 4 self.num_gpus = 4
FLAGS.model_dir = self._get_model_dir('benchmark_4_gpu_squad') FLAGS.model_dir = self._get_model_dir('benchmark_4_gpu_squad')
FLAGS.train_batch_size = 12 FLAGS.train_batch_size = 16
self._run_and_report_benchmark() self._run_and_report_benchmark()
...@@ -230,7 +230,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase): ...@@ -230,7 +230,7 @@ class BertSquadBenchmarkReal(BertSquadBenchmarkBase):
self._setup() self._setup()
self.num_gpus = 8 self.num_gpus = 8
FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu_squad') FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu_squad')
FLAGS.train_batch_size = 24 FLAGS.train_batch_size = 32
self._run_and_report_benchmark() self._run_and_report_benchmark()
......
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