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13 changes: 10 additions & 3 deletions dygraph/transformer/train.py
Original file line number Diff line number Diff line change
Expand Up @@ -156,10 +156,13 @@ def do_train(args):
batch_id = 0
batch_start = time.time()
interval_word_num = 0.0
total_reader_costs = 0.0
batch_reader_start = time.time()
for input_data in train_loader():
if args.max_iter and step_idx == args.max_iter: #NOTE: used for benchmark
return
batch_reader_end = time.time()
total_reader_costs += batch_reader_end - batch_reader_start

(src_word, src_pos, src_slf_attn_bias, trg_word, trg_pos,
trg_slf_attn_bias, trg_src_attn_bias, lbl_word,
Expand Down Expand Up @@ -201,13 +204,16 @@ def do_train(args):
logger.info(
"step_idx: %d, epoch: %d, batch: %d, avg loss: %f, "
"normalized loss: %f, ppl: %f, avg_speed: %.2f step/s, "
"words speed: %0.2f words/s" %
"reader cost: %0.2f sec, ips: %0.2f words/s" %
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words/s -> words/sec

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done

(step_idx, pass_id, batch_id, total_avg_cost,
total_avg_cost - loss_normalizer,
np.exp([min(total_avg_cost, 100)]),
train_avg_batch_cost, word_speed))
batch_start = time.time()
train_avg_batch_cost,
total_reader_costs / args.print_step, word_speed))

interval_word_num = 0.0
total_reader_costs = 0.0
batch_start = time.time()

if step_idx % args.save_step == 0 and step_idx != 0:
# validation
Expand Down Expand Up @@ -250,6 +256,7 @@ def do_train(args):

batch_id += 1
step_idx += 1
batch_reader_start = time.time()

train_epoch_cost = time.time() - epoch_start
ce_time.append(train_epoch_cost)
Expand Down