SSD 模型训练时自动关机

症状：没有任何报错，训练一开始跑起来，立马断电关机

硬件： GTX 1080 单GPU。机型：联想拯救者

原因：电源功率不足，需要更换更大功率电源。如 450W或500W

关机显示的信息（仅供参考）

D:\Projects\learnpy\labeling_train\venv\Scripts\python.exe D:/Projects/learnpy/labeling_train/SSD-Tensorflow-master/train_ssd_network.py --train_dir=D:\Projects\learnpy\labeling_train\house_model\ --dataset_dir=D:\Projects\learnpy\labeling_train\house_tfrecord\ --dataset_name=pascalvoc_2007 --dataset_split_name=train --model_name=ssd_300_vgg --checkpoint_path=D:\Projects\learnpy\labeling_train\model_pre_train\VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt\VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt --save_summaries_secs=60 --save_interval_secs=600 --weight_decay=0.0005 --optimizer=adam --learning_rate=0.0001 --batch_size=8
WARNING:tensorflow:From D:/Projects/learnpy/labeling_train/SSD-Tensorflow-master/train_ssd_network.py:201: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step

# =========================================================================== #
# Training | Evaluation flags:
# =========================================================================== #
{'adadelta_rho': ,
 'adagrad_initial_accumulator_value': ,
 'adam_beta1': ,
 'adam_beta2': ,
 'batch_size': ,
 'checkpoint_exclude_scopes': ,
 'checkpoint_model_scope': ,
 'checkpoint_path': ,
 'clone_on_cpu': ,
 'dataset_dir': ,
 'dataset_name': ,
 'dataset_split_name': ,
 'end_learning_rate': ,
 'ftrl_initial_accumulator_value': ,
 'ftrl_l1': ,
 'ftrl_l2': ,
 'ftrl_learning_rate_power': ,
 'gpu_memory_fraction': ,
 'h': ,
 'help': ,
 'helpfull': ,
 'helpshort': ,
 'ignore_missing_vars': ,
 'label_smoothing': ,
 'labels_offset': ,
 'learning_rate': ,
 'learning_rate_decay_factor': ,
 'learning_rate_decay_type': ,
 'log_every_n_steps': ,
 'loss_alpha': ,
 'match_threshold': ,
 'max_number_of_steps': ,
 'model_name': ,
 'momentum': ,
 'moving_average_decay': ,
 'negative_ratio': ,
 'num_classes': ,
 'num_clones': ,
 'num_epochs_per_decay': ,
 'num_preprocessing_threads': ,
 'num_readers': ,
 'opt_epsilon': ,
 'optimizer': ,
 'preprocessing_name': ,
 'rmsprop_decay': ,
 'rmsprop_momentum': ,
 'save_interval_secs': ,
 'save_summaries_secs': ,
 'train_dir': ,
 'train_image_size': ,
 'trainable_scopes': ,
 'weight_decay': }

# =========================================================================== #
# SSD net parameters:
# =========================================================================== #
{'anchor_offset': 0.5,
 'anchor_ratios': [[2, 0.5],
                   [2, 0.5, 3, 0.3333333333333333],
                   [2, 0.5, 3, 0.3333333333333333],
                   [2, 0.5, 3, 0.3333333333333333],
                   [2, 0.5],
                   [2, 0.5]],
 'anchor_size_bounds': [0.15, 0.9],
 'anchor_sizes': [(21.0, 45.0),
                  (45.0, 99.0),
                  (99.0, 153.0),
                  (153.0, 207.0),
                  (207.0, 261.0),
                  (261.0, 315.0)],
 'anchor_steps': [8, 16, 32, 64, 100, 300],
 'feat_layers': ['block4', 'block7', 'block8', 'block9', 'block10', 'block11'],
 'feat_shapes': [(38, 38), (19, 19), (10, 10), (5, 5), (3, 3), (1, 1)],
 'img_shape': (300, 300),
 'no_annotation_label': 21,
 'normalizations': [20, -1, -1, -1, -1, -1],
 'num_classes': 21,
 'prior_scaling': [0.1, 0.1, 0.2, 0.2]}

# =========================================================================== #
# Training | Evaluation dataset files:
# =========================================================================== #
['D:\\Projects\\learnpy\\labeling_train\\house_tfrecord\\voc_2007_train_000.tfrecord']

WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\slim\python\slim\data\parallel_reader.py:242: string_input_producer (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.Dataset.from_tensor_slices(string_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64)[0]).repeat(num_epochs)`. If `shuffle=False`, omit the `.shuffle(...)`.
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\input.py:276: input_producer (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.Dataset.from_tensor_slices(input_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64)[0]).repeat(num_epochs)`. If `shuffle=False`, omit the `.shuffle(...)`.
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\input.py:188: limit_epochs (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.Dataset.from_tensors(tensor).repeat(num_epochs)`.
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\input.py:197: QueueRunner.__init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\input.py:197: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version.
Instructions for updating:
To construct input pipelines, use the `tf.data` module.
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\slim\python\slim\data\parallel_reader.py:94: TFRecordReader.__init__ (from tensorflow.python.ops.io_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.TFRecordDataset`.
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\sparse_ops.py:1165: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
WARNING:tensorflow:From D:/Projects/learnpy/labeling_train/SSD-Tensorflow-master/train_ssd_network.py:251: batch (from tensorflow.python.training.input) is deprecated and will be removed in a future version.
Instructions for updating:
Queue-based input pipelines have been replaced by `tf.data`. Use `tf.data.Dataset.batch(batch_size)` (or `padded_batch(...)` if `dynamic_pad=True`).
INFO:tensorflow:Fine-tuning from D:\Projects\learnpy\labeling_train\model_pre_train\VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt\VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt. Ignoring missing vars: False
WARNING:tensorflow:From C:\Users\Lenovo\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py:737: Supervisor.__init__ (from tensorflow.python.training.supervisor) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.MonitoredTrainingSession
2019-04-06 17:49:38.366689: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2019-04-06 17:49:38.665692: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: 
name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate(GHz): 1.7335
pciBusID: 0000:01:00.0
totalMemory: 8.00GiB freeMemory: 6.60GiB
2019-04-06 17:49:38.666003: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2019-04-06 17:49:40.302000: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-04-06 17:49:40.302212: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988]      0 
2019-04-06 17:49:40.302284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0:   N 
2019-04-06 17:49:40.303136: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6553 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
INFO:tensorflow:Restoring parameters from D:\Projects\learnpy\labeling_train\model_pre_train\VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt\VGG_VOC0712_SSD_300x300_ft_iter_120000.ckpt
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path D:\Projects\learnpy\labeling_train\house_model\model.ckpt
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global_step/sec: 0