From 74e7c3344e599969c4639eeee97bf2a401b86834 Mon Sep 17 00:00:00 2001 From: ougongchang Date: Tue, 23 Jun 2020 15:23:23 +0800 Subject: [PATCH] Fix spelling mistakes in visuzalization tutorials --- tutorials/source_en/advanced_use/visualization_tutorials.md | 4 ++-- .../source_zh_cn/advanced_use/visualization_tutorials.md | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tutorials/source_en/advanced_use/visualization_tutorials.md b/tutorials/source_en/advanced_use/visualization_tutorials.md index f727c7ce46..921626f469 100644 --- a/tutorials/source_en/advanced_use/visualization_tutorials.md +++ b/tutorials/source_en/advanced_use/visualization_tutorials.md @@ -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 -summmary_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=[summmary_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]) diff --git a/tutorials/source_zh_cn/advanced_use/visualization_tutorials.md b/tutorials/source_zh_cn/advanced_use/visualization_tutorials.md index 621b8048c6..2e0a3479d7 100644 --- a/tutorials/source_zh_cn/advanced_use/visualization_tutorials.md +++ b/tutorials/source_zh_cn/advanced_use/visualization_tutorials.md @@ -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 -summmary_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=[summmary_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]) -- Gitee