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ModelZoo
ResNet50_tensorflow
Commits
e172ac82
Unverified
Commit
e172ac82
authored
May 02, 2019
by
Reed
Committed by
GitHub
May 02, 2019
Browse files
Add graph rewrite benchmarks (#6708)
parent
b691578c
Changes
1
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1 changed file
with
38 additions
and
2 deletions
+38
-2
official/resnet/estimator_benchmark.py
official/resnet/estimator_benchmark.py
+38
-2
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official/resnet/estimator_benchmark.py
View file @
e172ac82
...
...
@@ -125,7 +125,10 @@ class Resnet50EstimatorAccuracy(EstimatorBenchmark):
constructor forward compatible in case PerfZero provides more
named arguments before updating the constructor.
"""
flag_methods
=
[
imagenet_main
.
define_imagenet_flags
]
flag_methods
=
[
lambda
:
imagenet_main
.
define_imagenet_flags
(
dynamic_loss_scale
=
True
,
fp16_implementation
=
True
)
]
self
.
data_dir
=
os
.
path
.
join
(
root_data_dir
,
IMAGENET_DATA_DIR_NAME
)
super
(
Resnet50EstimatorAccuracy
,
self
).
__init__
(
...
...
@@ -172,7 +175,10 @@ class Resnet50EstimatorBenchmark(EstimatorBenchmark):
local_flags
=
None
def
__init__
(
self
,
output_dir
=
None
,
default_flags
=
None
):
flag_methods
=
[
imagenet_main
.
define_imagenet_flags
]
flag_methods
=
[
lambda
:
imagenet_main
.
define_imagenet_flags
(
dynamic_loss_scale
=
True
,
fp16_implementation
=
True
)
]
super
(
Resnet50EstimatorBenchmark
,
self
).
__init__
(
output_dir
=
output_dir
,
...
...
@@ -203,6 +209,21 @@ class Resnet50EstimatorBenchmark(EstimatorBenchmark):
FLAGS
.
hooks
=
[
'ExamplesPerSecondHook'
]
self
.
_run_and_report_benchmark
()
def
benchmark_graph_fp16_graph_rewrite_1_gpu_tweaked
(
self
):
"""Benchmarks graph fp16 graph rewrite 1 gpu tweaked."""
self
.
_setup
()
FLAGS
.
num_gpus
=
1
FLAGS
.
tf_gpu_thread_mode
=
'gpu_private'
FLAGS
.
intra_op_parallelism_threads
=
1
FLAGS
.
model_dir
=
self
.
_get_model_dir
(
'benchmark_graph_fp16_graph_rewrite_1_gpu_tweaked'
)
FLAGS
.
batch_size
=
256
FLAGS
.
dtype
=
'fp16'
FLAGS
.
fp16_implementation
=
'graph_rewrite'
FLAGS
.
hooks
=
[
'ExamplesPerSecondHook'
]
self
.
_run_and_report_benchmark
()
def
benchmark_graph_1_gpu
(
self
):
"""Benchmarks graph 1 gpu."""
self
.
_setup
()
...
...
@@ -249,6 +270,21 @@ class Resnet50EstimatorBenchmark(EstimatorBenchmark):
FLAGS
.
hooks
=
[
'ExamplesPerSecondHook'
]
self
.
_run_and_report_benchmark
()
def
benchmark_graph_fp16_graph_rewrite_8_gpu_tweaked
(
self
):
"""Benchmarks graph fp16 graph rewrite 8 gpus tweaked."""
self
.
_setup
()
FLAGS
.
num_gpus
=
8
FLAGS
.
tf_gpu_thread_mode
=
'gpu_private'
FLAGS
.
intra_op_parallelism_threads
=
1
FLAGS
.
model_dir
=
self
.
_get_model_dir
(
'benchmark_graph_fp16_graph_rewrite_8_gpu_tweaked'
)
FLAGS
.
batch_size
=
256
*
8
FLAGS
.
dtype
=
'fp16'
FLAGS
.
fp16_implementation
=
'graph_rewrite'
FLAGS
.
hooks
=
[
'ExamplesPerSecondHook'
]
self
.
_run_and_report_benchmark
()
def
_run_and_report_benchmark
(
self
):
start_time_sec
=
time
.
time
()
stats
=
imagenet_main
.
run_imagenet
(
FLAGS
)
...
...
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