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ModelZoo
ResNet50_tensorflow
Commits
bf0dc049
Commit
bf0dc049
authored
Nov 06, 2019
by
Ayush Dubey
Committed by
A. Unique TensorFlower
Nov 06, 2019
Browse files
Internal change
PiperOrigin-RevId: 278902210
parent
94833324
Changes
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official/benchmark/keras_imagenet_benchmark.py
official/benchmark/keras_imagenet_benchmark.py
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official/benchmark/keras_imagenet_benchmark.py
View file @
bf0dc049
...
...
@@ -1041,22 +1041,6 @@ class Resnet50MultiWorkerKerasAccuracy(keras_benchmark.KerasBenchmark):
def
_get_model_dir
(
self
,
folder_name
):
return
os
.
path
.
join
(
self
.
output_dir
,
folder_name
)
def
benchmark_graph_8_gpu_2_workers_fp16_ring_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 2 workers, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
2
,
all_reduce_alg
=
'ring'
)
def
benchmark_graph_8_gpu_2_workers_fp16_nccl_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 2 workers, fp16, nccl all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
2
,
all_reduce_alg
=
'nccl'
)
def
benchmark_graph_8_gpu_8_workers_fp16_ring_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 8 workers, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
8
,
all_reduce_alg
=
'ring'
)
def
benchmark_graph_8_gpu_8_workers_fp16_nccl_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 8 workers, fp16, nccl all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
8
,
all_reduce_alg
=
'nccl'
)
def
benchmark_eager_8_gpu_2_workers_fp16_ring_tweaked
(
self
):
"""Eager, 8 GPUs per worker, 2 workers, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
True
,
num_workers
=
2
,
all_reduce_alg
=
'ring'
)
...
...
@@ -1102,30 +1086,6 @@ class Resnet50MultiWorkerKerasBenchmark(Resnet50KerasBenchmarkBase):
self
.
_run_and_report_benchmark
()
def
benchmark_graph_8_gpu_1_worker_fp16_ring_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 1 worker, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
1
,
all_reduce_alg
=
'ring'
)
def
benchmark_graph_8_gpu_1_worker_fp16_nccl_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 1 worker, fp16, nccl all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
1
,
all_reduce_alg
=
'nccl'
)
def
benchmark_graph_8_gpu_2_workers_fp16_ring_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 2 workers, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
2
,
all_reduce_alg
=
'ring'
)
def
benchmark_graph_8_gpu_2_workers_fp16_nccl_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 2 workers, fp16, nccl all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
2
,
all_reduce_alg
=
'nccl'
)
def
benchmark_graph_8_gpu_8_workers_fp16_ring_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 8 workers, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
8
,
all_reduce_alg
=
'ring'
)
def
benchmark_graph_8_gpu_8_workers_fp16_nccl_tweaked
(
self
):
"""Legacy graph, 8 GPUs per worker, 8 workers, fp16, nccl all-reduce."""
self
.
_benchmark_common
(
eager
=
False
,
num_workers
=
8
,
all_reduce_alg
=
'nccl'
)
def
benchmark_eager_8_gpu_1_worker_fp16_ring_tweaked
(
self
):
"""Eager, 8 GPUs per worker, 1 worker, fp16, ring all-reduce."""
self
.
_benchmark_common
(
eager
=
True
,
num_workers
=
1
,
all_reduce_alg
=
'ring'
)
...
...
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