Fix typo train_config to train_subset

openvinotoolkit · Mar 13, 2024 · ff55d94 · ff55d94
1 parent b9ceb95
commit ff55d94
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Showing 4 changed files with 7 additions and 7 deletions.
diff --git a/docs/source/guide/explanation/algorithms/visual_prompting/fine_tuning.rst b/docs/source/guide/explanation/algorithms/visual_prompting/fine_tuning.rst
@@ -98,5 +98,5 @@ According to datasets, ``learning rate`` and ``batch size`` can be adjusted like
 
     (otx) ...$ otx train --config <model_config_path> \
                          --data_root <path_to_data_root> \
-                         --data.config.train_config.batch_size <batch_size_to_be_updated> \
+                         --data.config.train_subset.batch_size <batch_size_to_be_updated> \
                          --optimizer.lr <learning_rate_to_be_updated>
diff --git a/docs/source/guide/tutorials/base/how_to_train/anomaly_detection.rst b/docs/source/guide/tutorials/base/how_to_train/anomaly_detection.rst
@@ -183,7 +183,7 @@ For example, to decrease the batch size to 4, fix the number of epochs to 100, e
 
         .. code-block:: shell
 
-            (otx) ...$ otx train ... --data.config.train_config.batch_size 4 \
+            (otx) ...$ otx train ... --data.config.train_subset.batch_size 4 \
                                      --max_epochs 100
 
     .. tab:: API
@@ -194,7 +194,7 @@ For example, to decrease the batch size to 4, fix the number of epochs to 100, e
             from otx.core.data.module import OTXDataModule
             from otx.engine import Engine
 
-            data_config = DataModuleConfig(..., train_config=SubsetConfig(..., batch_size=4))
+            data_config = DataModuleConfig(..., train_subset=SubsetConfig(..., batch_size=4))
             datamodule = OTXDataModule(..., config=data_config)
 
             engine = Engine(..., datamodule=datamodule)

diff --git a/docs/source/guide/tutorials/base/how_to_train/detection.rst b/docs/source/guide/tutorials/base/how_to_train/detection.rst
@@ -265,7 +265,7 @@ For example, to decrease the batch size to 4, fix the number of epochs to 100, e
 
         .. code-block:: shell
 
-            (otx) ...$ otx train ... --data.config.train_config.batch_size 4 \
+            (otx) ...$ otx train ... --data.config.train_subset.batch_size 4 \
                                      --max_epochs 100
 
     .. tab:: API
@@ -276,7 +276,7 @@ For example, to decrease the batch size to 4, fix the number of epochs to 100, e
             from otx.core.data.module import OTXDataModule
             from otx.engine import Engine
 
-            data_config = DataModuleConfig(..., train_config=SubsetConfig(..., batch_size=4))
+            data_config = DataModuleConfig(..., train_subset=SubsetConfig(..., batch_size=4))
             datamodule = OTXDataModule(..., config=data_config)
 
             engine = Engine(..., datamodule=datamodule)

diff --git a/docs/source/guide/tutorials/base/how_to_train/instance_segmentation.rst b/docs/source/guide/tutorials/base/how_to_train/instance_segmentation.rst
@@ -275,7 +275,7 @@ For example, to decrease the batch size to 4, fix the number of epochs to 100 an
 
         .. code-block:: shell
 
-            (otx) ...$ otx train ... --data.config.train_config.batch_size 4 \
+            (otx) ...$ otx train ... --data.config.train_subset.batch_size 4 \
                                      --max_epochs 100
 
     .. tab:: API
@@ -286,7 +286,7 @@ For example, to decrease the batch size to 4, fix the number of epochs to 100 an
             from otx.core.data.module import OTXDataModule
             from otx.engine import Engine
 
-            data_config = DataModuleConfig(..., train_config=SubsetConfig(..., batch_size=4))
+            data_config = DataModuleConfig(..., train_subset=SubsetConfig(..., batch_size=4))
             datamodule = OTXDataModule(..., config=data_config)
 
             engine = Engine(..., datamodule=datamodule)