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Support training with single device for MobileNet-SSD. #869

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qingqing01 merged 1 commit into from
Apr 23, 2018
Merged

Support training with single device for MobileNet-SSD. #869

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14 changes: 10 additions & 4 deletions fluid/object_detection/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -239,8 +239,9 @@ def if_exist(var):

fluid.io.load_vars(exe, pretrained_model, predicate=if_exist)

train_exe = fluid.ParallelExecutor(
use_cuda=args.use_gpu, loss_name=loss.name)
if args.parallel:
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@wanghaoshuang wanghaoshuang Apr 23, 2018 •
edited
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可以在判断之前让 train_exe = exe， 然后可以简化下line283~line289
抱歉看错了。

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@qingqing01 qingqing01 Apr 23, 2018

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ParalleExe和Executor的run接口不同，Executor多了program。这样还是不太行~

train_exe = fluid.ParallelExecutor(
use_cuda=args.use_gpu, loss_name=loss.name)

train_reader = paddle.batch(
reader.train(data_args, train_file_list), batch_size=batch_size)
Expand Down Expand Up @@ -279,8 +280,13 @@ def test(pass_id, best_map):
prev_start_time = start_time
start_time = time.time()
if len(data) < devices_num: continue
loss_v, = train_exe.run(fetch_list=[loss.name],
feed_dict=feeder.feed(data))
if args.parallel:
loss_v, = train_exe.run(fetch_list=[loss.name],
feed_dict=feeder.feed(data))
else:
loss_v, = exe.run(fluid.default_main_program(),
feed=feeder.feed(data),
fetch_list=[loss])
end_time = time.time()
loss_v = np.mean(np.array(loss_v))
if batch_id % 20 == 0:
Expand Down