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体验新版 GitCode,发现更多精彩内容 >>
提交
5d3b9ce5
编写于
6月 23, 2020
作者:
M
mindspore-ci-bot
提交者:
Gitee
6月 23, 2020
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!275 Fix spelling mistakes in visuzalization tutorials
Merge pull request !275 from ougongchang/fix_summary
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c5bd5081
74e7c334
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tutorials/source_en/advanced_use/visualization_tutorials.md
tutorials/source_en/advanced_use/visualization_tutorials.md
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tutorials/source_zh_cn/advanced_use/visualization_tutorials.md
...ials/source_zh_cn/advanced_use/visualization_tutorials.md
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未找到文件。
tutorials/source_en/advanced_use/visualization_tutorials.md
浏览文件 @
5d3b9ce5
...
...
@@ -65,10 +65,10 @@ model = Model(network, loss, opt)
ds_train
=
create_dataset
(
'./dataset_path'
)
# Init a SummaryCollector callback instance, and use it in model.train or model.eval
summ
m
ary_collector
=
SummaryCollector
(
summary_dir
=
'./summary_dir'
,
collect_freq
=
1
)
summary_collector
=
SummaryCollector
(
summary_dir
=
'./summary_dir'
,
collect_freq
=
1
)
# Note: dataset_sink_mode should be set to False, else you should modify collect freq in SummaryCollector
model
.
train
(
epoch
=
1
,
ds_train
,
callbacks
=
[
summ
m
ary_collector
],
dataset_sink_mode
=
False
)
model
.
train
(
epoch
=
1
,
ds_train
,
callbacks
=
[
summary_collector
],
dataset_sink_mode
=
False
)
ds_eval
=
create_dataset
(
'./dataset_path'
)
model
.
eval
(
ds_eval
,
callbacks
=
[
summary_collector
])
...
...
tutorials/source_zh_cn/advanced_use/visualization_tutorials.md
浏览文件 @
5d3b9ce5
...
...
@@ -71,10 +71,10 @@ model = Model(network, loss, opt)
ds_train
=
create_dataset
(
'./dataset_path'
)
# Init a SummaryCollector callback instance, and use it in model.train or model.eval
summ
m
ary_collector
=
SummaryCollector
(
summary_dir
=
'./summary_dir'
,
collect_freq
=
1
)
summary_collector
=
SummaryCollector
(
summary_dir
=
'./summary_dir'
,
collect_freq
=
1
)
# Note: dataset_sink_mode should be set to False, else you should modify collect freq in SummaryCollector
model
.
train
(
epoch
=
1
,
ds_train
,
callbacks
=
[
summ
m
ary_collector
],
dataset_sink_mode
=
False
)
model
.
train
(
epoch
=
1
,
ds_train
,
callbacks
=
[
summary_collector
],
dataset_sink_mode
=
False
)
ds_eval
=
create_dataset
(
'./dataset_path'
)
model
.
eval
(
ds_eval
,
callbacks
=
[
summary_collector
])
...
...
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