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Unverified Commit ba0a6f60 authored by Toby Boyd's avatar Toby Boyd Committed by GitHub
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Add fp16 to 8 gpu fp16 tests. (#6353)

parent 19daade4
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Showing with 3 additions and 2 deletions
official/resnet/keras/keras_imagenet_benchmark.py
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......@@ -277,6 +277,7 @@ class Resnet50KerasBenchmarkBase(keras_benchmark.KerasBenchmark):
self._setup()
FLAGS.num_gpus = 8
FLAGS.dtype = 'fp16'
FLAGS.enable_eager = True
FLAGS.distribution_strategy = 'default'
FLAGS.model_dir = self._get_model_dir('benchmark_8_gpu_fp16')
......@@ -288,6 +289,7 @@ class Resnet50KerasBenchmarkBase(keras_benchmark.KerasBenchmark):
self._setup()
FLAGS.num_gpus = 8
FLAGS.dtype = 'fp16'
FLAGS.enable_eager = True
FLAGS.enable_xla = True
FLAGS.distribution_strategy = 'default'
......@@ -315,8 +317,7 @@ class Resnet50KerasBenchmarkBase(keras_benchmark.KerasBenchmark):
FLAGS.enable_xla = True
FLAGS.distribution_strategy = 'default'
FLAGS.model_dir = self._get_model_dir('benchmark_graph_xla_8_gpu')
# TODO(haoyuzhang): Set size to 128 per GPU when multi-GPU XLA OOM is fixed
FLAGS.batch_size = 64 * 8 # 8 GPUs
FLAGS.batch_size = 128 * 8 # 8 GPUs
self._run_and_report_benchmark()
def fill_report_object(self, stats):
......
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