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Merge pull request #1707 from LDOUBLEV/trt_cpp 

add use_shared_memory params for AIstudio demo
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Double_V 2021-01-11 16:10:34 +08:00 committed by GitHub
parent 6cc39f3238 825a28244c
commit e1b932968d
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 9 additions and 4 deletions
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2
configs/det/det_mv3_db.yml
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@ -102,6 +102,7 @@ Train:
drop_last: False drop_last: False
batch_size_per_card: 16 batch_size_per_card: 16
num_workers: 8 num_workers: 8
use_shared_memory: False
Eval: Eval:
dataset: dataset:
@ -129,3 +130,4 @@ Eval:
drop_last: False drop_last: False
batch_size_per_card: 1 # must be 1 batch_size_per_card: 1 # must be 1
num_workers: 8 num_workers: 8
use_shared_memory: False

2
configs/rec/rec_icdar15_train.yml
View File

@ -76,6 +76,7 @@ Train:
batch_size_per_card: 256 batch_size_per_card: 256
drop_last: True drop_last: True
num_workers: 8 num_workers: 8
use_shared_memory: False
Eval: Eval:
dataset: dataset:
@ -96,3 +97,4 @@ Eval:
drop_last: False drop_last: False
batch_size_per_card: 256 batch_size_per_card: 256
num_workers: 4 num_workers: 4
use_shared_memory: False

7
ppocr/data/__init__.py
View File

@ -66,8 +66,10 @@ def build_dataloader(config, mode, device, logger):
batch_size = loader_config['batch_size_per_card'] batch_size = loader_config['batch_size_per_card']
drop_last = loader_config['drop_last'] drop_last = loader_config['drop_last']
num_workers = loader_config['num_workers'] num_workers = loader_config['num_workers']
if 'use_shared_memory' in loader_config.keys():
use_shared_memory = False use_shared_memory = loader_config['use_shared_memory']
else:
use_shared_memory = True
if mode == "Train": if mode == "Train":
#Distribute data to multiple cards #Distribute data to multiple cards
batch_sampler = DistributedBatchSampler( batch_sampler = DistributedBatchSampler(
@ -75,7 +77,6 @@ def build_dataloader(config, mode, device, logger):
batch_size=batch_size, batch_size=batch_size,
shuffle=False, shuffle=False,
drop_last=drop_last) drop_last=drop_last)
use_shared_memory = True
else: else:
#Distribute data to single card #Distribute data to single card
batch_sampler = BatchSampler( batch_sampler = BatchSampler(