fix: fine_tune_batch_norm not match the train_batch_size #5148
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We should set fine_tune_batch_norm to false while the train_batch_size is 4 to avoid the OOM of the limited resource at hand.
The details can be found in the file of train.py:
> # Set to True if one wants to fine-tune the batch norm parameters in DeepLabv3.
# Set to False and use small batch size to save GPU memory.
flags.DEFINE_boolean('fine_tune_batch_norm', False,
'Fine tune the batch norm parameters or not.')
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We should set fine_tune_batch_norm to false while the train_batch_size is 4 to avoid the OOM of the limited resource at hand.The details can be found in the file of train.py: