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add use_shared_memory params for AIstudio demo #1707

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Jan 11, 2021
Merged

add use_shared_memory params for AIstudio demo #1707

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4 changes: 3 additions & 1 deletion configs/det/det_mv3_db.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -102,6 +102,7 @@ Train:
drop_last: False
batch_size_per_card: 16
num_workers: 8
use_shared_memory: False

Eval:
dataset:
Expand All @@ -128,4 +129,5 @@ Eval:
shuffle: False
drop_last: False
batch_size_per_card: 1 # must be 1
num_workers: 8
num_workers: 8
use_shared_memory: False
2 changes: 2 additions & 0 deletions configs/rec/rec_icdar15_train.yml
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Expand Up @@ -76,6 +76,7 @@ Train:
batch_size_per_card: 256
drop_last: True
num_workers: 8
use_shared_memory: False

Eval:
dataset:
Expand All @@ -96,3 +97,4 @@ Eval:
drop_last: False
batch_size_per_card: 256
num_workers: 4
use_shared_memory: False
7 changes: 4 additions & 3 deletions ppocr/data/__init__.py
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Expand Up @@ -66,16 +66,17 @@ def build_dataloader(config, mode, device, logger):
batch_size = loader_config['batch_size_per_card']
drop_last = loader_config['drop_last']
num_workers = loader_config['num_workers']

use_shared_memory = False
if 'use_shared_memory' in loader_config.keys():
use_shared_memory = loader_config['use_shared_memory']
else:
use_shared_memory = True
if mode == "Train":
#Distribute data to multiple cards
batch_sampler = DistributedBatchSampler(
dataset=dataset,
batch_size=batch_size,
shuffle=False,
drop_last=drop_last)
use_shared_memory = True
else:
#Distribute data to single card
batch_sampler = BatchSampler(
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