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Commit 3ee027fb authored by Toby Boyd's avatar Toby Boyd Committed by Haoyu Zhang
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Eval every 10 epochs to better match estimator tests. (#6696)

parent b00783d7
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official/resnet/keras/keras_imagenet_benchmark.py
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...@@ -62,6 +62,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark): ...@@ -62,6 +62,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark):
FLAGS.data_dir = self.data_dir FLAGS.data_dir = self.data_dir
FLAGS.batch_size = 128 * 8 FLAGS.batch_size = 128 * 8
FLAGS.train_epochs = 90 FLAGS.train_epochs = 90
FLAGS.epochs_between_evals = 10
FLAGS.model_dir = self._get_model_dir('benchmark_graph_8_gpu') FLAGS.model_dir = self._get_model_dir('benchmark_graph_8_gpu')
FLAGS.dtype = 'fp32' FLAGS.dtype = 'fp32'
self._run_and_report_benchmark() self._run_and_report_benchmark()
...@@ -73,6 +74,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark): ...@@ -73,6 +74,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark):
FLAGS.data_dir = self.data_dir FLAGS.data_dir = self.data_dir
FLAGS.batch_size = 128 * 8 FLAGS.batch_size = 128 * 8
FLAGS.train_epochs = 90 FLAGS.train_epochs = 90
FLAGS.epochs_between_evals = 10
FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu') FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu')
FLAGS.dtype = 'fp32' FLAGS.dtype = 'fp32'
FLAGS.enable_eager = True FLAGS.enable_eager = True
...@@ -87,6 +89,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark): ...@@ -87,6 +89,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark):
FLAGS.data_dir = self.data_dir FLAGS.data_dir = self.data_dir
FLAGS.batch_size = 256 * 8 FLAGS.batch_size = 256 * 8
FLAGS.train_epochs = 90 FLAGS.train_epochs = 90
FLAGS.epochs_between_evals = 10
FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu_fp16') FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu_fp16')
FLAGS.dtype = 'fp16' FLAGS.dtype = 'fp16'
FLAGS.enable_eager = True FLAGS.enable_eager = True
...@@ -101,6 +104,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark): ...@@ -101,6 +104,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark):
FLAGS.data_dir = self.data_dir FLAGS.data_dir = self.data_dir
FLAGS.batch_size = 256 * 8 FLAGS.batch_size = 256 * 8
FLAGS.train_epochs = 90 FLAGS.train_epochs = 90
FLAGS.epochs_between_evals = 10
FLAGS.model_dir = self._get_model_dir('benchmark_xla_8_gpu_fp16') FLAGS.model_dir = self._get_model_dir('benchmark_xla_8_gpu_fp16')
FLAGS.dtype = 'fp16' FLAGS.dtype = 'fp16'
FLAGS.enable_eager = True FLAGS.enable_eager = True
...@@ -116,6 +120,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark): ...@@ -116,6 +120,7 @@ class Resnet50KerasAccuracy(keras_benchmark.KerasBenchmark):
FLAGS.data_dir = self.data_dir FLAGS.data_dir = self.data_dir
FLAGS.batch_size = 256 * 8 FLAGS.batch_size = 256 * 8
FLAGS.train_epochs = 90 FLAGS.train_epochs = 90
FLAGS.epochs_between_evals = 10
FLAGS.model_dir = self._get_model_dir('benchmark_xla_8_gpu_fp16_dynamic') FLAGS.model_dir = self._get_model_dir('benchmark_xla_8_gpu_fp16_dynamic')
FLAGS.dtype = 'fp16' FLAGS.dtype = 'fp16'
FLAGS.enable_eager = True FLAGS.enable_eager = True
......
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