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[Modelzoo] Fix typo. (#508)
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+53
-53
lines changed

20 files changed

+53
-53
lines changed

‎modelzoo/bst/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -348,7 +348,7 @@ def _create_optimizer(self):
348348
learning_rate=self._learning_rate,
349349
global_step=self.global_step)
350350
else:
351-
raise ValueError("Optimzier type error.")
351+
raise ValueError("Optimizer type error.")
352352

353353
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
354354
with tf.control_dependencies(update_ops):
@@ -568,12 +568,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
568568
if (_in != steps):
569569
sess.run([model.acc_op, model.auc_op])
570570
if (_in % 1000 == 0):
571-
print("Evaluation complate:[{}/{}]".format(_in, steps))
571+
print("Evaluation complete:[{}/{}]".format(_in, steps))
572572
else:
573573
eval_acc, eval_auc, events = sess.run(
574574
[model.acc_op, model.auc_op, merged])
575575
writer.add_summary(events, _in)
576-
print("Evaluation complate:[{}/{}]".format(_in, steps))
576+
print("Evaluation complete:[{}/{}]".format(_in, steps))
577577
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
578578

579579

‎modelzoo/dcn/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -327,7 +327,7 @@ def _create_optimizer(self):
327327
learning_rate=self._cross_learning_rate,
328328
global_step=self.global_step)
329329
else:
330-
raise ValueError("Optimzier type error.")
330+
raise ValueError("Optimizer type error.")
331331

332332
train_ops = []
333333
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
@@ -562,12 +562,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
562562
if (_in != steps):
563563
sess.run([model.acc_op, model.auc_op])
564564
if (_in % 1000 == 0):
565-
print("Evaluation complate:[{}/{}]".format(_in, steps))
565+
print("Evaluation complete:[{}/{}]".format(_in, steps))
566566
else:
567567
eval_acc, eval_auc, events = sess.run(
568568
[model.acc_op, model.auc_op, merged])
569569
writer.add_summary(events, _in)
570-
print("Evaluation complate:[{}/{}]".format(_in, steps))
570+
print("Evaluation complete:[{}/{}]".format(_in, steps))
571571
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
572572

573573

‎modelzoo/dcnv2/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -343,7 +343,7 @@ def _create_optimizer(self):
343343
learning_rate=self._cross_learning_rate,
344344
global_step=self.global_step)
345345
else:
346-
raise ValueError("Optimzier type error.")
346+
raise ValueError("Optimizer type error.")
347347

348348
train_ops = []
349349
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
@@ -577,12 +577,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
577577
if (_in != steps):
578578
sess.run([model.acc_op, model.auc_op])
579579
if (_in % 1000 == 0):
580-
print("Evaluation complate:[{}/{}]".format(_in, steps))
580+
print("Evaluation complete:[{}/{}]".format(_in, steps))
581581
else:
582582
eval_acc, eval_auc, events = sess.run(
583583
[model.acc_op, model.auc_op, merged])
584584
writer.add_summary(events, _in)
585-
print("Evaluation complate:[{}/{}]".format(_in, steps))
585+
print("Evaluation complete:[{}/{}]".format(_in, steps))
586586
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
587587

588588

‎modelzoo/deepfm/README.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -138,7 +138,7 @@ input: | |
138138
### Distribute Training
139139
1. Prepare a K8S cluster. [Alibaba Cloud ACK Service(Alibaba Cloud Container Service for Kubernetes)](https://cn.aliyun.com/product/kubernetes) can quickly create a Kubernetes cluster.
140140
2. Perpare a shared storage volume. For Alibaba Cloud ACK, [OSS(Object Storage Service)](https://cn.aliyun.com/product/oss) can be used as a shared storage volume.
141-
3. Create a PVC(PeritetVolumeClaim) named `deeprec` for storage volumn in cluster.
141+
3. Create a PVC(PersistentVolumeClaim) named `deeprec` for storage volumn in cluster.
142142
4. Prepare docker image. `alideeprec/deeprec-release-modelzoo:latest` is recommended.
143143
5. Create a k8s job from `.yaml` to run distributed training.
144144
```

‎modelzoo/deepfm/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -228,7 +228,7 @@ def _create_optimizer(self):
228228
learning_rate=self._learning_rate,
229229
global_step=self.global_step)
230230
else:
231-
raise ValueError('Optimzier type error.')
231+
raise ValueError('Optimizer type error.')
232232

233233
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
234234
with tf.control_dependencies(update_ops):
@@ -439,12 +439,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
439439
if (_in != steps):
440440
sess.run([model.acc_op, model.auc_op])
441441
if (_in % 1000 == 0):
442-
print("Evaluation complate:[{}/{}]".format(_in, steps))
442+
print("Evaluation complete:[{}/{}]".format(_in, steps))
443443
else:
444444
eval_acc, eval_auc, events = sess.run(
445445
[model.acc_op, model.auc_op, merged])
446446
writer.add_summary(events, _in)
447-
print("Evaluation complate:[{}/{}]".format(_in, steps))
447+
print("Evaluation complete:[{}/{}]".format(_in, steps))
448448
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
449449

450450

‎modelzoo/dien/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -580,7 +580,7 @@ def _create_optimizer(self):
580580
learning_rate=self._learning_rate,
581581
global_step=self.global_step)
582582
else:
583-
raise ValueError("Optimzier type error.")
583+
raise ValueError("Optimizer type error.")
584584

585585
gradients = optimizer.compute_gradients(self.loss)
586586
clipped_gradients = [(tf.clip_by_norm(grad, 5), var)
@@ -818,12 +818,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
818818
if (_in != steps):
819819
sess.run([model.acc_op, model.auc_op])
820820
if (_in % 100 == 0):
821-
print("Evaluation complate:[{}/{}]".format(_in, steps))
821+
print("Evaluation complete:[{}/{}]".format(_in, steps))
822822
else:
823823
eval_acc, eval_auc, events = sess.run(
824824
[model.acc_op, model.auc_op, merged])
825825
writer.add_summary(events, _in)
826-
print("Evaluation complate:[{}/{}]".format(_in, steps))
826+
print("Evaluation complete:[{}/{}]".format(_in, steps))
827827
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
828828

829829

‎modelzoo/din/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -413,7 +413,7 @@ def _create_optimizer(self):
413413
learning_rate=self._learning_rate,
414414
global_step=self.global_step)
415415
else:
416-
raise ValueError("Optimzier type error.")
416+
raise ValueError("Optimizer type error.")
417417

418418
gradients = optimizer.compute_gradients(self.loss)
419419
clipped_gradients = [(tf.clip_by_norm(grad, 5), var)
@@ -634,12 +634,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
634634
if (_in != steps):
635635
sess.run([model.acc_op, model.auc_op])
636636
if (_in % 100 == 0):
637-
print("Evaluation complate:[{}/{}]".format(_in, steps))
637+
print("Evaluation complete:[{}/{}]".format(_in, steps))
638638
else:
639639
eval_acc, eval_auc, events = sess.run(
640640
[model.acc_op, model.auc_op, merged])
641641
writer.add_summary(events, _in)
642-
print("Evaluation complate:[{}/{}]".format(_in, steps))
642+
print("Evaluation complete:[{}/{}]".format(_in, steps))
643643
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
644644

645645

‎modelzoo/dlrm/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -269,7 +269,7 @@ def _create_optimizer(self):
269269
optimizer = tf.train.GradientDescentOptimizer(
270270
learning_rate=self._learning_rate)
271271
else:
272-
raise ValueError("Optimzier type error.")
272+
raise ValueError("Optimizer type error.")
273273

274274
self.train_op = optimizer.minimize(
275275
self.loss, global_step=self.global_step)
@@ -476,12 +476,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
476476
if (_in != steps):
477477
sess.run([model.acc_op, model.auc_op])
478478
if (_in % 1000 == 0):
479-
print("Evaluation complate:[{}/{}]".format(_in, steps))
479+
print("Evaluation complete:[{}/{}]".format(_in, steps))
480480
else:
481481
eval_acc, eval_auc, events = sess.run(
482482
[model.acc_op, model.auc_op, merged])
483483
writer.add_summary(events, _in)
484-
print("Evaluation complate:[{}/{}]".format(_in, steps))
484+
print("Evaluation complete:[{}/{}]".format(_in, steps))
485485
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
486486

487487

‎modelzoo/dssm/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -244,7 +244,7 @@ def _create_optimizer(self):
244244
learning_rate=self._learning_rate,
245245
global_step=self.global_step)
246246
else:
247-
raise ValueError("Optimzier type error.")
247+
raise ValueError("Optimizer type error.")
248248

249249
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
250250
with tf.control_dependencies(update_ops):
@@ -448,12 +448,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
448448
if (_in != steps):
449449
sess.run([model.acc_op, model.auc_op])
450450
if (_in % 1000 == 0):
451-
print("Evaluation complate:[{}/{}]".format(_in, steps))
451+
print("Evaluation complete:[{}/{}]".format(_in, steps))
452452
else:
453453
eval_acc, eval_auc, events = sess.run(
454454
[model.acc_op, model.auc_op, merged])
455455
writer.add_summary(events, _in)
456-
print("Evaluation complate:[{}/{}]".format(_in, steps))
456+
print("Evaluation complete:[{}/{}]".format(_in, steps))
457457
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
458458

459459

‎modelzoo/features/adagraddecay_optimizer/wide_and_deep/train.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -588,15 +588,15 @@ def main(tf_config=None, server=None):
588588
sess.run(
589589
[model.acc, model.acc_op, model.auc, model.auc_op])
590590
if (_in % 1000 == 0):
591-
print("Evaluation complate:[{}/{}]".format(
591+
print("Evaluation complete:[{}/{}]".format(
592592
_in, test_steps))
593593
else:
594594
_, eval_acc, _, eval_auc, events = sess.run([
595595
model.acc, model.acc_op, model.auc, model.auc_op,
596596
merged
597597
])
598598
writer.add_summary(events, _in)
599-
print("Evaluation complate:[{}/{}]".format(
599+
print("Evaluation complete:[{}/{}]".format(
600600
_in, test_steps))
601601
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
602602

‎modelzoo/features/embedding_variable/deepfm/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -245,7 +245,7 @@ def optimizer(self):
245245
beta2=0.999,
246246
epsilon=1e-8)
247247
else:
248-
raise ValueError('Optimzier type error.')
248+
raise ValueError('Optimizer type error.')
249249

250250
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
251251
with tf.control_dependencies(update_ops):
@@ -508,15 +508,15 @@ def main(tf_config=None, server=None):
508508
sess.run(
509509
[model.acc, model.acc_op, model.auc, model.auc_op])
510510
if (_in % 1000 == 0):
511-
print("Evaluation complate:[{}/{}]".format(
511+
print("Evaluation complete:[{}/{}]".format(
512512
_in, test_steps))
513513
else:
514514
_, eval_acc, _, eval_auc, events = sess.run([
515515
model.acc, model.acc_op, model.auc, model.auc_op,
516516
merged
517517
])
518518
writer.add_summary(events, _in)
519-
print("Evaluation complate:[{}/{}]".format(
519+
print("Evaluation complete:[{}/{}]".format(
520520
_in, test_steps))
521521
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
522522

‎modelzoo/features/embedding_variable/wide_and_deep/train.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -697,15 +697,15 @@ def main(tf_config=None, server=None):
697697
sess.run(
698698
[model.acc, model.acc_op, model.auc, model.auc_op])
699699
if (_in % 1000 == 0):
700-
print("Evaluation complate:[{}/{}]".format(
700+
print("Evaluation complete:[{}/{}]".format(
701701
_in, test_steps))
702702
else:
703703
_, eval_acc, _, eval_auc, events = sess.run([
704704
model.acc, model.acc_op, model.auc, model.auc_op,
705705
merged
706706
])
707707
writer.add_summary(events, _in)
708-
print("Evaluation complate:[{}/{}]".format(
708+
print("Evaluation complete:[{}/{}]".format(
709709
_in, test_steps))
710710
print("ACC = {}\nAUC = {}".format(
711711
eval_acc, eval_auc))

‎modelzoo/features/gpu_fused_embedding/deepfm/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -248,7 +248,7 @@ def optimizer(self):
248248
beta2=0.999,
249249
epsilon=1e-8)
250250
else:
251-
raise ValueError('Optimzier type error.')
251+
raise ValueError('Optimizer type error.')
252252

253253
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
254254
with tf.control_dependencies(update_ops):
@@ -511,15 +511,15 @@ def main(tf_config=None, server=None):
511511
sess.run(
512512
[model.acc, model.acc_op, model.auc, model.auc_op])
513513
if (_in % 1000 == 0):
514-
print("Evaluation complate:[{}/{}]".format(
514+
print("Evaluation complete:[{}/{}]".format(
515515
_in, test_steps))
516516
else:
517517
_, eval_acc, _, eval_auc, events = sess.run([
518518
model.acc, model.acc_op, model.auc, model.auc_op,
519519
merged
520520
])
521521
writer.add_summary(events, _in)
522-
print("Evaluation complate:[{}/{}]".format(
522+
print("Evaluation complete:[{}/{}]".format(
523523
_in, test_steps))
524524
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
525525

‎modelzoo/features/gpu_fused_embedding/dlrm/train.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -545,15 +545,15 @@ def main(tf_config=None, server=None):
545545
sess.run(
546546
[model.acc, model.acc_op, model.auc, model.auc_op])
547547
if (_in % 1000 == 0):
548-
print("Evaluation complate:[{}/{}]".format(
548+
print("Evaluation complete:[{}/{}]".format(
549549
_in, test_steps))
550550
else:
551551
_, eval_acc, _, eval_auc, events = sess.run([
552552
model.acc, model.acc_op, model.auc, model.auc_op,
553553
merged
554554
])
555555
writer.add_summary(events, _in)
556-
print("Evaluation complate:[{}/{}]".format(
556+
print("Evaluation complete:[{}/{}]".format(
557557
_in, test_steps))
558558
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
559559

‎modelzoo/features/gpu_fused_embedding/wide_and_deep/train.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -587,15 +587,15 @@ def main(tf_config=None, server=None):
587587
sess.run(
588588
[model.acc, model.acc_op, model.auc, model.auc_op])
589589
if (_in % 1000 == 0):
590-
print("Evaluation complate:[{}/{}]".format(
590+
print("Evaluation complete:[{}/{}]".format(
591591
_in, test_steps))
592592
else:
593593
_, eval_acc, _, eval_auc, events = sess.run([
594594
model.acc, model.acc_op, model.auc, model.auc_op,
595595
merged
596596
])
597597
writer.add_summary(events, _in)
598-
print("Evaluation complate:[{}/{}]".format(
598+
print("Evaluation complete:[{}/{}]".format(
599599
_in, test_steps))
600600
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
601601

‎modelzoo/features/runtime/deepfm/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -245,7 +245,7 @@ def optimizer(self):
245245
beta2=0.999,
246246
epsilon=1e-8)
247247
else:
248-
raise ValueError('Optimzier type error.')
248+
raise ValueError('Optimizer type error.')
249249

250250
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
251251
with tf.control_dependencies(update_ops):
@@ -541,15 +541,15 @@ def main(tf_config=None, server=None):
541541
sess.run(
542542
[model.acc, model.acc_op, model.auc, model.auc_op])
543543
if (_in % 1000 == 0):
544-
print("Evaluation complate:[{}/{}]".format(
544+
print("Evaluation complete:[{}/{}]".format(
545545
_in, test_steps))
546546
else:
547547
_, eval_acc, _, eval_auc, events = sess.run([
548548
model.acc, model.acc_op, model.auc, model.auc_op,
549549
merged
550550
])
551551
writer.add_summary(events, _in)
552-
print("Evaluation complate:[{}/{}]".format(
552+
print("Evaluation complete:[{}/{}]".format(
553553
_in, test_steps))
554554
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
555555

‎modelzoo/features/work_queue/wide_and_deep/train.py

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -593,15 +593,15 @@ def main(tf_config=None, server=None):
593593
sess.run(
594594
[model.acc, model.acc_op, model.auc, model.auc_op])
595595
if (_in % 1000 == 0):
596-
print("Evaluation complate:[{}/{}]".format(
596+
print("Evaluation complete:[{}/{}]".format(
597597
_in, test_steps))
598598
else:
599599
_, eval_acc, _, eval_auc, events = sess.run([
600600
model.acc, model.acc_op, model.auc, model.auc_op,
601601
merged
602602
])
603603
writer.add_summary(events, _in)
604-
print("Evaluation complate:[{}/{}]".format(
604+
print("Evaluation complete:[{}/{}]".format(
605605
_in, test_steps))
606606
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
607607

‎modelzoo/masknet/train.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -259,7 +259,7 @@ def _create_optimizer(self):
259259
learning_rate=self._deep_learning_rate,
260260
global_step=self.global_step)
261261
else:
262-
raise ValueError("Optimzier type error.")
262+
raise ValueError("Optimizer type error.")
263263

264264
train_ops = []
265265
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
@@ -492,12 +492,12 @@ def eval(sess_config, input_hooks, model, data_init_op, steps, checkpoint_dir):
492492
if (_in != steps):
493493
sess.run([model.acc_op, model.auc_op])
494494
if (_in % 1000 == 0):
495-
print("Evaluation complate:[{}/{}]".format(_in, steps))
495+
print("Evaluation complete:[{}/{}]".format(_in, steps))
496496
else:
497497
eval_acc, eval_auc, events = sess.run(
498498
[model.acc_op, model.auc_op, merged])
499499
writer.add_summary(events, _in)
500-
print("Evaluation complate:[{}/{}]".format(_in, steps))
500+
print("Evaluation complete:[{}/{}]".format(_in, steps))
501501
print("ACC = {}\nAUC = {}".format(eval_acc, eval_auc))
502502

503503

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