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add ips print for language_model #4887

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Merged
merged 5 commits into from
Sep 25, 2020
Merged

add ips print for language_model #4887

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3fd8412
fix ptb_dy time print for benchmark, test=develop
wanghuancoder Sep 22, 2020
f39323c
merge
wanghuancoder Sep 23, 2020
271559e
merge upsteam
wanghuancoder Sep 23, 2020
8e981a9
Merge branch 'develop' of https://github.com/PaddlePaddle/models into…
wanghuancoder Sep 25, 2020
46ea98c
add ips print for language_model, test=develop
wanghuancoder Sep 25, 2020
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12 changes: 9 additions & 3 deletions PaddleNLP/language_model/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -312,6 +312,7 @@ def train_an_epoch(epoch_id, batch_times):
total_loss = 0
iters = 0
batch_cost_avg = TimeCostAverage()
reader_cost_avg = TimeCostAverage()

init_hidden, init_cell = generate_init_data()
batch_start_time = time.time()
Expand All @@ -323,6 +324,8 @@ def train_an_epoch(epoch_id, batch_times):
epoch_id=epoch_id,
with_lr=True,
device_count=device_count)
reader_time = time.time() - batch_start_time
reader_cost_avg.record(reader_time)
fetch_outs = exe.run(train_program,
feed=input_data_feed,
fetch_list=[
Expand All @@ -343,10 +346,13 @@ def train_an_epoch(epoch_id, batch_times):
if batch_id > 0 and batch_id % log_interval == 0:
ppl = np.exp(total_loss / iters)
print(
"-- Epoch:[%d]; Batch:[%d]; Time: %.5f s; ppl: %.5f, lr: %.5f"
% (epoch_id, batch_id, batch_cost_avg.get_average(), ppl[0],
lr[0]))
"-- Epoch:[%d]; Batch:[%d]; ppl: %.5f, lr: %.5f, batch_cost: %.5f sec, reader_cost: %.5f sec, ips: %.5f words/sec"
% (epoch_id, batch_id, ppl[0], lr[0],
batch_cost_avg.get_average(),
reader_cost_avg.get_average(),
config.batch_size / batch_cost_avg.get_average()))
batch_cost_avg.reset()
reader_cost_avg.reset()

# profiler tools for benchmark
if args.profile and batch_id == log_interval:
Expand Down