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This repository was archived by the owner on Oct 31, 2025. It is now read-only.
TPU Estimator Crashing #12
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Description
Tensorflow version: tensorflow==2.0.0b0
Tensorflow Datasets Version: tfds-nightly==1.0.2.dev201906090105
Tensorflow Hub Version: tf-hub-nightly==0.5.0.dev201905270046
Issue
Code Raises
End of sequence [[node input_pipeline_task0/while/IteratorGetNext (defined at image_retraining_tpu.py:139) ]]
for All values of max_steps in TPUEstimator.train(...)
Reproduce the issue
$ python3 image_retraining_tpu.py --tpu [TPU_NAME] \
--use_tpu --use_compat --data_dir gs://[BUCKET_NAME]/data_dir \
--model_dir gs://[BUCKET_NAME]/model_dir --batch_size=32 \
--iterations=8 --max_steps=8
The Same error rises for
--use_tpu --use_compat --data_dir gs://[BUCKET_NAME]/data_dir \
--model_dir gs://[BUCKET_NAME]/model_dir --batch_size=32 \
--iterations=8 --max_steps=4
$ python3 image_retraining_tpu.py --tpu [TPU_NAME] \
--use_tpu --use_compat --data_dir gs://[BUCKET_NAME]/data_dir \
--model_dir gs://[BUCKET_NAME]/model_dir --batch_size=32 \
--iterations=8 --max_steps=100
$ python3 image_retraining_tpu.py --tpu [TPU_NAME] \
--use_tpu --use_compat --data_dir gs://[BUCKET_NAME]/data_dir \
--model_dir gs://[BUCKET_NAME]/model_dir --batch_size=32 \
--iterations=8 --max_steps=500
$ python3 image_retraining_tpu.py --tpu [TPU_NAME] \
--use_tpu --use_compat --data_dir gs://[BUCKET_NAME]/data_dir \
--model_dir gs://[BUCKET_NAME]/model_dir --batch_size=32 \
--iterations=8 --max_steps=1000
Line 139
GSOC/E1_TPU_Sample/image_retraining_tpu.py
Lines 135 to 139 in 513a0ec
| classifier.train( | |
| input_fn=lambda params: input_fn( | |
| mode=tf.estimator.ModeKeys.TRAIN, | |
| **params), | |
| max_steps=FLAGS.max_steps) |
Log file
Error starts from Line 230 of output.log
output.log
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