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tensorflow-test.txt
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tensorflow-test.txt
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Basic test of tensorflow - A Hello World!!!...
-----------------------------------------------
2017-08-25 15:21:29.866703: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 0 with properties:
name: Tesla P100-SXM2-16GB
major: 6 minor: 0 memoryClockRate (GHz) 1.4805
pciBusID 0002:01:00.0
Total memory: 15.90GiB
Free memory: 15.62GiB
2017-08-25 15:21:29.866858: W tensorflow/stream_executor/cuda/cuda_driver.cc:485] creating context when one is currently active; existing: 0x1000d3d7630
2017-08-25 15:21:29.926057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 1 with properties:
name: Tesla P100-SXM2-16GB
major: 6 minor: 0 memoryClockRate (GHz) 1.4805
pciBusID 000a:01:00.0
Total memory: 15.90GiB
Free memory: 15.62GiB
2017-08-25 15:21:29.926256: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 0 and 1
2017-08-25 15:21:29.926290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 1 and 0
2017-08-25 15:21:29.926329: I tensorflow/core/common_runtime/gpu/gpu_device.cc:908] DMA: 0 1
2017-08-25 15:21:29.926359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 0: Y N
2017-08-25 15:21:29.926390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 1: N Y
2017-08-25 15:21:29.926432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:21:29.926464: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
2017-08-25 15:21:30.084830: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 2 visible devices
2017-08-25 15:21:30.084894: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 160 visible devices
2017-08-25 15:21:30.091580: I tensorflow/compiler/xla/service/service.cc:183] XLA service 0x3dfeeb01f790 executing computations on platform Host. Devices:
2017-08-25 15:21:30.091663: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (0): <undefined>, <undefined>
2017-08-25 15:21:30.091924: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 2 visible devices
2017-08-25 15:21:30.091958: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 160 visible devices
2017-08-25 15:21:30.098653: I tensorflow/compiler/xla/service/service.cc:183] XLA service 0x3dfdf658d9b0 executing computations on platform CUDA. Devices:
2017-08-25 15:21:30.098735: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (0): Tesla P100-SXM2-16GB, Compute Capability 6.0
2017-08-25 15:21:30.098766: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (1): Tesla P100-SXM2-16GB, Compute Capability 6.0
.2017-08-25 15:21:30.105367: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:21:30.105411: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
.
----------------------------------------------------------------------
Ran 2 tests in 0.381s
OK
========================================================================================================
Tensorflow tests ...
-----------------------------------------------------------------
/opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/estimators/abalone.py
----------------------------------------------------------------------------------------------
Training data is downloaded to /tmp/tmpbGTZGY
Test data is downloaded to /tmp/tmpIUSNuk
Prediction data is downloaded to /tmp/tmp0xxq5W
INFO:tensorflow:Using default config.
INFO:tensorflow:Using config: {'_model_dir': None, '_save_checkpoints_secs': 600, '_num_ps_replicas': 0, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_task_type': None, '_environment': 'local', '_is_chief': True, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x3fff74c98e10>, '_tf_config': gpu_options {
per_process_gpu_memory_fraction: 1
}
, '_num_worker_replicas': 0, '_task_id': 0, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_master': ''}
WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmpKnqXio
/opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py:248: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.
equality = a == b
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/estimators/abalone.py:139: calling fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/estimators/abalone.py:139: calling fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
INFO:tensorflow:Create CheckpointSaverHook.
2017-08-25 15:21:33.694724: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 0 with properties:
name: Tesla P100-SXM2-16GB
major: 6 minor: 0 memoryClockRate (GHz) 1.4805
pciBusID 0002:01:00.0
Total memory: 15.90GiB
Free memory: 15.62GiB
2017-08-25 15:21:33.694884: W tensorflow/stream_executor/cuda/cuda_driver.cc:485] creating context when one is currently active; existing: 0x100196d41f0
2017-08-25 15:21:33.746739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 1 with properties:
name: Tesla P100-SXM2-16GB
major: 6 minor: 0 memoryClockRate (GHz) 1.4805
pciBusID 000a:01:00.0
Total memory: 15.90GiB
Free memory: 15.62GiB
2017-08-25 15:21:33.746934: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 0 and 1
2017-08-25 15:21:33.746970: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 1 and 0
2017-08-25 15:21:33.747009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:908] DMA: 0 1
2017-08-25 15:21:33.747040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 0: Y N
2017-08-25 15:21:33.747070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 1: N Y
2017-08-25 15:21:33.747111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:21:33.747143: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
2017-08-25 15:21:34.102040: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 2 visible devices
2017-08-25 15:21:34.102106: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 160 visible devices
2017-08-25 15:21:34.109474: I tensorflow/compiler/xla/service/service.cc:183] XLA service 0x3dfe9aa61470 executing computations on platform Host. Devices:
2017-08-25 15:21:34.109572: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (0): <undefined>, <undefined>
2017-08-25 15:21:34.110104: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 2 visible devices
2017-08-25 15:21:34.110165: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 160 visible devices
2017-08-25 15:21:34.121543: I tensorflow/compiler/xla/service/service.cc:183] XLA service 0x3dfdb43c6bb0 executing computations on platform CUDA. Devices:
2017-08-25 15:21:34.121656: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (0): Tesla P100-SXM2-16GB, Compute Capability 6.0
2017-08-25 15:21:34.121718: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (1): Tesla P100-SXM2-16GB, Compute Capability 6.0
INFO:tensorflow:Saving checkpoints for 1 into /tmp/tmpKnqXio/model.ckpt.
INFO:tensorflow:loss = 109.095, step = 1
INFO:tensorflow:global_step/sec: 95.4828
INFO:tensorflow:loss = 7.369, step = 101 (1.048 sec)
INFO:tensorflow:global_step/sec: 92.2777
INFO:tensorflow:loss = 7.05715, step = 201 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.5793
INFO:tensorflow:loss = 6.91288, step = 301 (1.080 sec)
INFO:tensorflow:global_step/sec: 92.3338
INFO:tensorflow:loss = 6.83604, step = 401 (1.083 sec)
INFO:tensorflow:global_step/sec: 92.0291
INFO:tensorflow:loss = 6.7781, step = 501 (1.087 sec)
INFO:tensorflow:global_step/sec: 92.7309
INFO:tensorflow:loss = 6.72771, step = 601 (1.078 sec)
INFO:tensorflow:global_step/sec: 92.171
INFO:tensorflow:loss = 6.68009, step = 701 (1.085 sec)
INFO:tensorflow:global_step/sec: 92.3065
INFO:tensorflow:loss = 6.63281, step = 801 (1.083 sec)
INFO:tensorflow:global_step/sec: 92.4284
INFO:tensorflow:loss = 6.58464, step = 901 (1.082 sec)
INFO:tensorflow:global_step/sec: 92.6272
INFO:tensorflow:loss = 6.5346, step = 1001 (1.080 sec)
INFO:tensorflow:global_step/sec: 92.3913
INFO:tensorflow:loss = 6.48223, step = 1101 (1.082 sec)
INFO:tensorflow:global_step/sec: 92.1942
INFO:tensorflow:loss = 6.4275, step = 1201 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.1138
INFO:tensorflow:loss = 6.37068, step = 1301 (1.086 sec)
INFO:tensorflow:global_step/sec: 92.8122
INFO:tensorflow:loss = 6.31178, step = 1401 (1.077 sec)
INFO:tensorflow:global_step/sec: 97.4905
INFO:tensorflow:loss = 6.25102, step = 1501 (1.026 sec)
INFO:tensorflow:global_step/sec: 92.2743
INFO:tensorflow:loss = 6.1887, step = 1601 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.6126
INFO:tensorflow:loss = 6.12448, step = 1701 (1.080 sec)
INFO:tensorflow:global_step/sec: 92.2896
INFO:tensorflow:loss = 6.0583, step = 1801 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.4721
INFO:tensorflow:loss = 5.9903, step = 1901 (1.081 sec)
INFO:tensorflow:global_step/sec: 92.2757
INFO:tensorflow:loss = 5.92076, step = 2001 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.2125
INFO:tensorflow:loss = 5.85002, step = 2101 (1.084 sec)
INFO:tensorflow:global_step/sec: 93.4662
INFO:tensorflow:loss = 5.77856, step = 2201 (1.070 sec)
INFO:tensorflow:global_step/sec: 92.9161
INFO:tensorflow:loss = 5.70696, step = 2301 (1.076 sec)
INFO:tensorflow:global_step/sec: 92.7466
INFO:tensorflow:loss = 5.63585, step = 2401 (1.078 sec)
INFO:tensorflow:global_step/sec: 92.976
INFO:tensorflow:loss = 5.56597, step = 2501 (1.075 sec)
INFO:tensorflow:global_step/sec: 92.7985
INFO:tensorflow:loss = 5.49801, step = 2601 (1.078 sec)
INFO:tensorflow:global_step/sec: 92.5136
INFO:tensorflow:loss = 5.43273, step = 2701 (1.081 sec)
INFO:tensorflow:global_step/sec: 92.834
INFO:tensorflow:loss = 5.37065, step = 2801 (1.077 sec)
INFO:tensorflow:global_step/sec: 92.2954
INFO:tensorflow:loss = 5.31247, step = 2901 (1.083 sec)
INFO:tensorflow:global_step/sec: 92.9111
INFO:tensorflow:loss = 5.25868, step = 3001 (1.076 sec)
INFO:tensorflow:global_step/sec: 92.751
INFO:tensorflow:loss = 5.20938, step = 3101 (1.078 sec)
INFO:tensorflow:global_step/sec: 92.5614
INFO:tensorflow:loss = 5.16453, step = 3201 (1.080 sec)
INFO:tensorflow:global_step/sec: 92.6891
INFO:tensorflow:loss = 5.12457, step = 3301 (1.079 sec)
INFO:tensorflow:global_step/sec: 92.858
INFO:tensorflow:loss = 5.0894, step = 3401 (1.077 sec)
INFO:tensorflow:global_step/sec: 92.2338
INFO:tensorflow:loss = 5.05876, step = 3501 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.8599
INFO:tensorflow:loss = 5.03217, step = 3601 (1.077 sec)
INFO:tensorflow:global_step/sec: 92.2794
INFO:tensorflow:loss = 5.00938, step = 3701 (1.084 sec)
INFO:tensorflow:global_step/sec: 92.0177
INFO:tensorflow:loss = 4.98993, step = 3801 (1.087 sec)
INFO:tensorflow:global_step/sec: 97.9845
INFO:tensorflow:loss = 4.97328, step = 3901 (1.020 sec)
INFO:tensorflow:global_step/sec: 92.4261
INFO:tensorflow:loss = 4.95913, step = 4001 (1.082 sec)
INFO:tensorflow:global_step/sec: 92.1064
INFO:tensorflow:loss = 4.94707, step = 4101 (1.086 sec)
INFO:tensorflow:global_step/sec: 97.159
INFO:tensorflow:loss = 4.93675, step = 4201 (1.029 sec)
INFO:tensorflow:global_step/sec: 92.1483
INFO:tensorflow:loss = 4.92784, step = 4301 (1.085 sec)
INFO:tensorflow:global_step/sec: 92.5169
INFO:tensorflow:loss = 4.92005, step = 4401 (1.081 sec)
INFO:tensorflow:global_step/sec: 92.2146
INFO:tensorflow:loss = 4.91317, step = 4501 (1.085 sec)
INFO:tensorflow:global_step/sec: 92.914
INFO:tensorflow:loss = 4.90701, step = 4601 (1.076 sec)
INFO:tensorflow:global_step/sec: 92.0843
INFO:tensorflow:loss = 4.9014, step = 4701 (1.086 sec)
INFO:tensorflow:global_step/sec: 92.4186
INFO:tensorflow:loss = 4.89615, step = 4801 (1.082 sec)
INFO:tensorflow:global_step/sec: 92.6547
INFO:tensorflow:loss = 4.89114, step = 4901 (1.079 sec)
INFO:tensorflow:Saving checkpoints for 5000 into /tmp/tmpKnqXio/model.ckpt.
INFO:tensorflow:Loss for final step: 4.88632.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/estimators/abalone.py:142: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/estimators/abalone.py:142: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:29
2017-08-25 15:22:29.961307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:29.961369: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/tmpKnqXio/model.ckpt-5000
INFO:tensorflow:Evaluation [1/1]
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:30
INFO:tensorflow:Saving dict for global step 5000: global_step = 5000, loss = 5.58665, rmse = 2.36361
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
Loss: 5.58665
Root Mean Squared Error: 2.36361
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/estimators/abalone.py:147: calling predict (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
2017-08-25 15:22:31.239069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:31.239134: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/tmpKnqXio/model.ckpt-5000
Prediction 1: 4.9393947771
Prediction 2: 10.4564138431
Prediction 3: 7.27219169902
Prediction 4: 10.5538206037
Prediction 5: 11.1207962366
Prediction 6: 9.32562858247
Prediction 7: 11.27405836
============================================================================================
/opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/word2vec/word2vec_basic.py
----------------------------------------------------------------------------------------------
Disabling this test as it needs X capabilities!!!
============================================================================================
/opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/monitors/iris_monitors.py
----------------------------------------------------------------------------------------------
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:267: __init__ (from tensorflow.contrib.learn.python.learn.monitors) is deprecated and will be removed after 2016-12-05.
Instructions for updating:
Monitors are deprecated. Please use tf.train.SessionRunHook.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:267: __init__ (from tensorflow.contrib.learn.python.learn.monitors) is deprecated and will be removed after 2016-12-05.
Instructions for updating:
Monitors are deprecated. Please use tf.train.SessionRunHook.
INFO:tensorflow:Using config: {'_model_dir': None, '_save_checkpoints_secs': 1, '_num_ps_replicas': 0, '_keep_checkpoint_max': 5, '_tf_random_seed': None, '_task_type': None, '_environment': 'local', '_is_chief': True, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x3fffa9051190>, '_tf_config': gpu_options {
per_process_gpu_memory_fraction: 1
}
, '_num_worker_replicas': 0, '_task_id': 0, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_evaluation_master': '', '_keep_checkpoint_every_n_hours': 10000, '_master': ''}
/opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py:248: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.
equality = a == b
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/monitors/iris_monitors.py:101: calling fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/examples/tutorials/monitors/iris_monitors.py:101: calling fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Create CheckpointSaverHook.
2017-08-25 15:22:34.835111: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 0 with properties:
name: Tesla P100-SXM2-16GB
major: 6 minor: 0 memoryClockRate (GHz) 1.4805
pciBusID 0002:01:00.0
Total memory: 15.90GiB
Free memory: 15.62GiB
2017-08-25 15:22:34.835274: W tensorflow/stream_executor/cuda/cuda_driver.cc:485] creating context when one is currently active; existing: 0x1004182c150
2017-08-25 15:22:34.894058: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 1 with properties:
name: Tesla P100-SXM2-16GB
major: 6 minor: 0 memoryClockRate (GHz) 1.4805
pciBusID 000a:01:00.0
Total memory: 15.90GiB
Free memory: 15.62GiB
2017-08-25 15:22:34.894257: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 0 and 1
2017-08-25 15:22:34.894291: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 1 and 0
2017-08-25 15:22:34.894328: I tensorflow/core/common_runtime/gpu/gpu_device.cc:908] DMA: 0 1
2017-08-25 15:22:34.894360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 0: Y N
2017-08-25 15:22:34.894391: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 1: N Y
2017-08-25 15:22:34.894433: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:34.894466: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2000
2017-08-25 15:22:35.247462: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 2 visible devices
2017-08-25 15:22:35.247529: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 160 visible devices
2017-08-25 15:22:35.254334: I tensorflow/compiler/xla/service/service.cc:183] XLA service 0x3dfe9aa09ba0 executing computations on platform Host. Devices:
2017-08-25 15:22:35.254412: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (0): <undefined>, <undefined>
2017-08-25 15:22:35.254641: I tensorflow/compiler/xla/service/platform_util.cc:58] platform CUDA present with 2 visible devices
2017-08-25 15:22:35.254672: I tensorflow/compiler/xla/service/platform_util.cc:58] platform Host present with 160 visible devices
2017-08-25 15:22:35.261805: I tensorflow/compiler/xla/service/service.cc:183] XLA service 0x3dfdf655f1b0 executing computations on platform CUDA. Devices:
2017-08-25 15:22:35.261882: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (0): Tesla P100-SXM2-16GB, Compute Capability 6.0
2017-08-25 15:22:35.261910: I tensorflow/compiler/xla/service/service.cc:191] StreamExecutor device (1): Tesla P100-SXM2-16GB, Compute Capability 6.0
INFO:tensorflow:Saving checkpoints for 2001 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:loss = 0.131647, step = 2001
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:37
2017-08-25 15:22:37.578005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:37.578081: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2001
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:37
INFO:tensorflow:Saving dict for global step 2001: accuracy = 0.933333, global_step = 2001, loss = 0.107724, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2001): loss = 0.107724, global_step = 2001, recall = 1.0, precision = 1.0, accuracy = 0.933333
INFO:tensorflow:Saving checkpoints for 2002 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:39
2017-08-25 15:22:39.597818: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:39.597882: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2002
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:39
INFO:tensorflow:Saving dict for global step 2002: accuracy = 0.966667, global_step = 2002, loss = 0.294844, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2051): loss = 0.294844, global_step = 2002, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2052 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 29.4642
INFO:tensorflow:loss = 0.0595571, step = 2101 (3.395 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:40
2017-08-25 15:22:40.921573: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:40.921639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2052
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:41
INFO:tensorflow:Saving dict for global step 2052: accuracy = 0.966667, global_step = 2052, loss = 0.0746105, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2101): loss = 0.0746105, global_step = 2052, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2102 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:42
2017-08-25 15:22:42.276992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:42.277068: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2102
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:42
INFO:tensorflow:Saving dict for global step 2102: accuracy = 0.966667, global_step = 2102, loss = 0.0680213, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2151): loss = 0.0680213, global_step = 2102, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2152 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 38.6667
INFO:tensorflow:loss = 0.0537826, step = 2201 (2.589 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:43
2017-08-25 15:22:43.567240: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:43.567302: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2152
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:43
INFO:tensorflow:Saving dict for global step 2152: accuracy = 0.966667, global_step = 2152, loss = 0.0640124, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2201): loss = 0.0640124, global_step = 2152, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2202 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:44
2017-08-25 15:22:44.848360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:44.848420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2202
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:45
INFO:tensorflow:Saving dict for global step 2202: accuracy = 0.966667, global_step = 2202, loss = 0.0608453, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2251): loss = 0.0608453, global_step = 2202, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2252 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.655
INFO:tensorflow:loss = 0.050366, step = 2301 (2.651 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:46
2017-08-25 15:22:46.212339: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:46.212400: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2252
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:46
INFO:tensorflow:Saving dict for global step 2252: accuracy = 0.966667, global_step = 2252, loss = 0.0576289, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2301): loss = 0.0576289, global_step = 2252, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2302 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:47
2017-08-25 15:22:47.522780: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:47.522845: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2302
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:47
INFO:tensorflow:Saving dict for global step 2302: accuracy = 0.966667, global_step = 2302, loss = 0.0557366, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2351): loss = 0.0557366, global_step = 2302, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2352 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.1826
INFO:tensorflow:loss = 0.0482419, step = 2401 (2.693 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:48
2017-08-25 15:22:48.851699: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:48.851765: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2352
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:49
INFO:tensorflow:Saving dict for global step 2352: accuracy = 0.966667, global_step = 2352, loss = 0.0542661, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2401): loss = 0.0542661, global_step = 2352, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2402 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:50
2017-08-25 15:22:50.209751: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:50.209819: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2402
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:50
INFO:tensorflow:Saving dict for global step 2402: accuracy = 0.966667, global_step = 2402, loss = 0.0530193, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2451): loss = 0.0530193, global_step = 2402, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2452 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.7696
INFO:tensorflow:loss = 0.0466654, step = 2501 (2.646 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:51
2017-08-25 15:22:51.494267: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:51.494333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2452
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:51
INFO:tensorflow:Saving dict for global step 2452: accuracy = 0.966667, global_step = 2452, loss = 0.0519694, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2501): loss = 0.0519694, global_step = 2452, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2502 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:52
2017-08-25 15:22:52.848760: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:52.848831: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2502
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:53
INFO:tensorflow:Saving dict for global step 2502: accuracy = 0.966667, global_step = 2502, loss = 0.0510445, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2551): loss = 0.0510445, global_step = 2502, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2552 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 38.4836
INFO:tensorflow:loss = 0.0454005, step = 2601 (2.599 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:54
2017-08-25 15:22:54.159307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:54.159371: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2552
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:54
INFO:tensorflow:Saving dict for global step 2552: accuracy = 0.966667, global_step = 2552, loss = 0.0502256, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2601): loss = 0.0502256, global_step = 2552, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2602 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:55
2017-08-25 15:22:55.448235: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:55.448304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2602
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:55
INFO:tensorflow:Saving dict for global step 2602: accuracy = 0.966667, global_step = 2602, loss = 0.0495124, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2651): loss = 0.0495124, global_step = 2602, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2652 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.5476
INFO:tensorflow:loss = 0.044357, step = 2701 (2.661 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:56
2017-08-25 15:22:56.810109: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:56.810178: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2652
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:57
INFO:tensorflow:Saving dict for global step 2652: accuracy = 0.933333, global_step = 2652, loss = 0.0493, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2701): loss = 0.0493, global_step = 2652, recall = 1.0, precision = 1.0, accuracy = 0.933333
INFO:tensorflow:Saving checkpoints for 2702 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:57
2017-08-25 15:22:58.118099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:58.118163: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2702
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:58
INFO:tensorflow:Saving dict for global step 2702: accuracy = 0.933333, global_step = 2702, loss = 0.0496326, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2751): loss = 0.0496326, global_step = 2702, recall = 1.0, precision = 1.0, accuracy = 0.933333
INFO:tensorflow:Saving checkpoints for 2752 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.3609
INFO:tensorflow:loss = 0.0434796, step = 2801 (2.681 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:22:59
2017-08-25 15:22:59.436716: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:22:59.436781: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2752
INFO:tensorflow:Finished evaluation at 2017-08-25-15:22:59
INFO:tensorflow:Saving dict for global step 2752: accuracy = 0.933333, global_step = 2752, loss = 0.0492874, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2801): loss = 0.0492874, global_step = 2752, recall = 1.0, precision = 1.0, accuracy = 0.933333
INFO:tensorflow:Saving checkpoints for 2802 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:00
2017-08-25 15:23:00.785502: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:00.785571: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2802
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:01
INFO:tensorflow:Saving dict for global step 2802: accuracy = 0.933333, global_step = 2802, loss = 0.0489034, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2851): loss = 0.0489034, global_step = 2802, recall = 1.0, precision = 1.0, accuracy = 0.933333
INFO:tensorflow:Saving checkpoints for 2852 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.7808
INFO:tensorflow:loss = 0.0427088, step = 2901 (2.646 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:01
2017-08-25 15:23:02.090440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:02.090504: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2852
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:02
INFO:tensorflow:Saving dict for global step 2852: accuracy = 0.966667, global_step = 2852, loss = 0.0484911, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2901): loss = 0.0484911, global_step = 2852, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2902 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:03
2017-08-25 15:23:03.423247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:03.423320: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2902
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:03
INFO:tensorflow:Saving dict for global step 2902: accuracy = 0.966667, global_step = 2902, loss = 0.0480669, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 2951): loss = 0.0480669, global_step = 2902, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 2952 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 38.801
INFO:tensorflow:loss = 0.042015, step = 3001 (2.578 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:04
2017-08-25 15:23:04.729053: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:04.729115: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-2952
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:05
INFO:tensorflow:Saving dict for global step 2952: accuracy = 0.966667, global_step = 2952, loss = 0.0479437, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 3001): loss = 0.0479437, global_step = 2952, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 3002 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:05
2017-08-25 15:23:06.059286: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:06.059360: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-3002
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:06
INFO:tensorflow:Saving dict for global step 3002: accuracy = 0.966667, global_step = 3002, loss = 0.0478251, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 3051): loss = 0.0478251, global_step = 3002, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 3052 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.5678
INFO:tensorflow:loss = 0.0413704, step = 3101 (2.658 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:07
2017-08-25 15:23:07.382615: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:07.382683: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-3052
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:07
INFO:tensorflow:Saving dict for global step 3052: accuracy = 0.966667, global_step = 3052, loss = 0.047633, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 3101): loss = 0.047633, global_step = 3052, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 3102 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:615: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.
INFO:tensorflow:Starting evaluation at 2017-08-25-15:23:08
2017-08-25 15:23:08.676843: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P100-SXM2-16GB, pci bus id: 0002:01:00.0)
2017-08-25 15:23:08.676909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P100-SXM2-16GB, pci bus id: 000a:01:00.0)
INFO:tensorflow:Restoring parameters from /tmp/iris_model/model.ckpt-3102
INFO:tensorflow:Finished evaluation at 2017-08-25-15:23:08
INFO:tensorflow:Saving dict for global step 3102: accuracy = 0.966667, global_step = 3102, loss = 0.0472793, precision = 1.0, recall = 1.0
WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32.
INFO:tensorflow:Validation (step 3151): loss = 0.0472793, global_step = 3102, recall = 1.0, precision = 1.0, accuracy = 0.966667
INFO:tensorflow:Saving checkpoints for 3152 into /tmp/iris_model/model.ckpt.
INFO:tensorflow:global_step/sec: 37.8981
INFO:tensorflow:loss = 0.0407982, step = 3201 (2.638 sec)
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /opt/DL/tensorflow/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py:662: calling evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))