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(dashboard) [email protected] ray % python python/ray/tune/examples/tf_mnist_example.py –smoke-test
File descriptor limit 256 is too low for production servers and may result in connection errors. At least 8192 is recommended. — Fix with ‘ulimit -n 8192’
2020-11-22 21:16:17,622 INFO services.py:1177 — View the Ray dashboard at http://127.0.0.1:8265
== Status ==
Memory usage on this node: 11.1/16.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 1/16 CPUs, 0/0 GPUs, 0.0/4.3 GiB heap, 0.0/1.46 GiB objects
Result logdir: /Users/sangbincho/ray_results/MNISTTrainable_2020-11-22_21-16-19
Number of trials: 1/3 (1 RUNNING)

view the ray dashboard at http://127.0.0.1:8265 get more info view the ray dashboard at http://127.0.0.1:8265
(pid=53544) 2020-11-22 21:16:22.839573: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=53535) 2020-11-22 21:16:22.846054: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=53544) 2020-11-22 21:16:22.868360: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fcd92784d60 executing computations on platform Host. Devices:
(pid=53544) 2020-11-22 21:16:22.868386: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
(pid=53535) 2020-11-22 21:16:22.868211: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7feb242b7480 executing computations on platform Host. Devices:
(pid=53535) 2020-11-22 21:16:22.868243: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
(pid=53542) 2020-11-22 21:16:22.896713: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
(pid=53542) 2020-11-22 21:16:22.912438: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f8e2df15650 executing computations on platform Host. Devices:
(pid=53542) 2020-11-22 21:16:22.912488: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
(pid=53544) WARNING:tensorflow:Entity <function MNISTTrainable.setup..train_step at 0x7fcd936318c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__train_step’ is not defined
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(pid=53544) WARNING:tensorflow:Layer my_model is casting an input tensor from dtype float64 to the layer’s dtype of float32, which is new behavior in TensorFlow 2. The layer has dtype float32 because it’s dtype defaults to floatx.
(pid=53544)
(pid=53544) If you intended to run this layer in float32, you can safely ignore this warning. If in doubt, this warning is likely only an issue if you are porting a TensorFlow 1.X model to TensorFlow 2.
(pid=53544)
(pid=53544) To change all layers to have dtype float64 by default, call `tf.keras.backend.set_floatx(‘float64′)`. To change just this layer, pass dtype=’float64’ to the layer constructor. If you are the author of this layer, you can disable autocasting by passing autocast=False to the base Layer constructor.
(pid=53544)
(pid=53535) WARNING:tensorflow:Entity <function MNISTTrainable.setup..train_step at 0x7feb27631830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__train_step’ is not defined
(pid=53535) WARNING:tensorflow:Layer my_model is casting an input tensor from dtype float64 to the layer’s dtype of float32, which is new behavior in TensorFlow 2. The layer has dtype float32 because it’s dtype defaults to floatx.
(pid=53535)
(pid=53535) If you intended to run this layer in float32, you can safely ignore this warning. If in doubt, this warning is likely only an issue if you are porting a TensorFlow 1.X model to TensorFlow 2.
view the ray dashboard at http://127.0.0.1:8265 read more view the ray dashboard at http://127.0.0.1:8265
(pid=53535)
(pid=53535) To change all layers to have dtype float64 by default, call `tf.keras.backend.set_floatx(‘float64′)`. To change just this layer, pass dtype=’float64’ to the layer constructor. If you are the author of this layer, you can disable autocasting by passing autocast=False to the base Layer constructor.
(pid=53535)
(pid=53544) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53535) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53542) WARNING:tensorflow:Entity <function MNISTTrainable.setup..train_step at 0x7f8e53631830> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__train_step’ is not defined
(pid=53542) WARNING:tensorflow:Layer my_model is casting an input tensor from dtype float64 to the layer’s dtype of float32, which is new behavior in TensorFlow 2. The layer has dtype float32 because it’s dtype defaults to floatx.
(pid=53542)
(pid=53542) If you intended to run this layer in float32, you can safely ignore this warning. If in doubt, this warning is likely only an issue if you are porting a TensorFlow 1.X model to TensorFlow 2.
(pid=53542)
view the ray dashboard at http://127.0.0.1:8265 website view the ray dashboard at http://127.0.0.1:8265
(pid=53542) To change all layers to have dtype float64 by default, call `tf.keras.backend.set_floatx(‘float64′)`. To change just this layer, pass dtype=’float64’ to the layer constructor. If you are the author of this layer, you can disable autocasting by passing autocast=False to the base Layer constructor.
(pid=53542)
(pid=53542) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53544) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53535) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53542) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53535) WARNING:tensorflow:Entity <function MNISTTrainable.setup..test_step at 0x7feb276318c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__test_step’ is not defined
(pid=53535) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53544) WARNING:tensorflow:Entity <function MNISTTrainable.setup..test_step at 0x7fcd93631950> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__test_step’ is not defined
(pid=53544) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
view the ray dashboard at http://127.0.0.1:8265 get more info view the ray dashboard at http://127.0.0.1:8265
(pid=53542) WARNING:tensorflow:Entity <function MNISTTrainable.setup..test_step at 0x7f8e536318c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__test_step’ is not defined
(pid=53542) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53535) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
(pid=53542) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
== Status ==
Memory usage on this node: 10.1/16.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 3/16 CPUs, 0/0 GPUs, 0.0/4.3 GiB heap, 0.0/1.46 GiB objects
Current best trial: 050e8_00001 with test_loss=0.9192279577255249 and parameters={‘hiddens’: 64}
Result logdir: /Users/sangbincho/ray_results/MNISTTrainable_2020-11-22_21-16-19
view the ray dashboard at http://127.0.0.1:8265 get more info view the ray dashboard at http://127.0.0.1:8265
Number of trials: 3/3 (3 RUNNING)

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(pid=53544) WARNING:tensorflow:Entity <bound method MyModel.call of > could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: name ‘tf__call’ is not defined
== Status ==
Memory usage on this node: 10.2/16.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 3/16 CPUs, 0/0 GPUs, 0.0/4.3 GiB heap, 0.0/1.46 GiB objects
Current best trial: 050e8_00002 with test_loss=0.435128390789032 and parameters={‘hiddens’: 128}
Result logdir: /Users/sangbincho/ray_results/MNISTTrainable_2020-11-22_21-16-19
view the ray dashboard at http://127.0.0.1:8265 click here view the ray dashboard at http://127.0.0.1:8265
Number of trials: 3/3 (3 RUNNING)

== Status ==
Memory usage on this node: 9.5/16.0 GiB
Using FIFO scheduling algorithm.
Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/4.3 GiB heap, 0.0/1.46 GiB objects
Current best trial: 050e8_00002 with test_loss=0.3806763291358948 and parameters={‘hiddens’: 128}
Result logdir: /Users/sangbincho/ray_results/MNISTTrainable_2020-11-22_21-16-19
Number of trials: 3/3 (3 TERMINATED)
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2020-11-22 21:16:32,823 INFO tune.py:448 — Total run time: 15.67 seconds (13.23 seconds for the tuning loop).
Best hyperparameters found were: {‘hiddens’: 128}
view the ray dashboard at http://127.0.0.1:8265

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