Please add  more tutorials for multiagent examples

Hi guys!
Thank you all for continuously updating this flow project.
It really helps a lot.
I notice that there were some new multiagent examples.
I tried to run it, but it failed

(MultiAgent) elizabeth@ins7460:~/0MA/flow/examples/exp_configs/rl/multiagent$ python multiagent_ring.py
WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/compat/v2_compat.py:61: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term

I wonder how to fix it and also hope your guys can add more descriptions or tutorials towards these examples.

Hello @ElizabethDuo.
Thank you for your suggestions! We will do our best to include a tutorial about multi-agent examples.  :)
The reason you cannot run the python multiagent_ring.py is that, you are not supposed to run it directly. To run the exampes, you should try running it with a "runner". E.g.
python train_rllib.py multiagent_ring

Hi guys!
Thank you all for continuously updating this flow project.
It really helps a lot.
I notice that there were some new multiagent examples.
I tried to run it, but it failed

(MultiAgent) elizabeth@ins7460:~/0MA/flow/examples/exp_configs/rl/multiagent$ python multiagent_ring.py
WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/compat/v2_compat.py:61: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term

I wonder how to fix it and also hope your guys can add more descriptions or tutorials towards these examples.

Hi @ElizabethDuo, could you post the full error? That bit you posted is a warning, not an error.

Reopening until @ElizabethDuo confirms that the issue is resolved for her.

Thank you @eugenevinitsky for the reopening.
I followed the instruction of @ashkan-software and ran the multiagent example, but I think the result is a little wired.
First I ran multiagent_highway example without any change but change N_CPUS = 1, for my pc only have one cpu.
I think theoretically the whole training process will not end until it runs out of the set ITERATIONS.
However it stopped after couple of epochs.
Then I set sim=SumoParams(render=True) trying to see what is going on on sumo gui.
While every time I hit the play button it pop out a new window with a static network.

After clicking four or five times of the play button, it showed the dynamic training process around time 100.

Here is a part of the terminal outputs, it showed the same outputs repeatedly

2019-12-29 10:34:07,146	INFO trial_runner.py:587 -- Attempting to recover trial state from last checkpoint.
2019-12-29 10:34:07,159	WARNING signature.py:108 -- The function with_updates has a **kwargs argument, which is currently not supported.
(pid=1169) 2019-12-29 10:34:07,138	INFO trainer.py:366 -- Worker crashed during call to train(). To attempt to continue training without the failed worker, set 'ignore_worker_failures': True.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 2/2 CPUs, 0/1 GPUs
Memory usage on this node: 5.5/8.3 GB
Result logdir: /home/elizabeth/ray_results/stabilizing_open_network_merges
Number of trials: 1 ({'RUNNING': 1})
RUNNING trials:

PPO_MergePOEnv-v0_0:	RUNNING, 2 failures: /home/elizabeth/ray_results/stabilizing_open_network_merges/PPO_MergePOEnv-v0_0_2019-12-29_10-33-102tsagrr5/error_2019-12-29_10-34-07.txt

(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/compat/v2_compat.py:61: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) non-resource variables are not supported in the long term
(pid=1279) 2019-12-29 10:34:10,840	WARNING ppo.py:143 -- FYI: By default, the value function will not share layers with the policy model ('vf_share_layers': False).
(pid=1279) 2019-12-29 10:34:14,448	INFO rollout_worker.py:319 -- Creating policy evaluation worker 0 on CPU (please ignore any CUDA init errors)
(pid=1279) 2019-12-29 10:34:14.451842: 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=1279) 2019-12-29 10:34:14.482045: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:<PHONE_NUMBER> Hz
(pid=1279) 2019-12-29 10:34:14.482510: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5f2cf70 executing computations on platform Host. Devices:
(pid=1279) 2019-12-29 10:34:14.482575: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): ,
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/fcnet_v1.py:48: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Use keras.layers.dense instead.
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/fcnet_v1.py:48: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Use keras.layers.dense instead.
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cc88>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cc88>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cc88>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cc88>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8ccc0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cd30>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cd30>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cd30>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43eaa8cd30>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/tf_action_dist.py:138: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Use tf.cast instead.
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/tf_action_dist.py:138: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Use tf.cast instead.
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797320>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797320>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797320>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797320>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797e80>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797e80>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797e80>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c0797e80>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43c07826d8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) 2019-12-29 10:34:15.636531: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set.  If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU.  To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
(pid=1279) 2019-12-29 10:34:15,660	INFO dynamic_tf_policy.py:324 -- Initializing loss function with dummy input:
(pid=1279)
(pid=1279) { 'action_prob': <tf.Tensor 'default_policy/action_prob:0' shape=(?,) dtype=float32>,
(pid=1279)   'actions': <tf.Tensor 'default_policy/actions:0' shape=(?, 5) dtype=float32>,
(pid=1279)   'advantages': <tf.Tensor 'default_policy/advantages:0' shape=(?,) dtype=float32>,
(pid=1279)   'behaviour_logits': <tf.Tensor 'default_policy/behaviour_logits:0' shape=(?, 10) dtype=float32>,
(pid=1279)   'dones': <tf.Tensor 'default_policy/dones:0' shape=(?,) dtype=bool>,
(pid=1279)   'new_obs': <tf.Tensor 'default_policy/new_obs:0' shape=(?, 25) dtype=float32>,
(pid=1279)   'obs': <tf.Tensor 'default_policy/observation:0' shape=(?, 25) dtype=float32>,
(pid=1279)   'prev_actions': <tf.Tensor 'default_policy/action:0' shape=(?, 5) dtype=float32>,
(pid=1279)   'prev_rewards': <tf.Tensor 'default_policy/prev_reward:0' shape=(?,) dtype=float32>,
(pid=1279)   'rewards': <tf.Tensor 'default_policy/rewards:0' shape=(?,) dtype=float32>,
(pid=1279)   'value_targets': <tf.Tensor 'default_policy/value_targets:0' shape=(?,) dtype=float32>,
(pid=1279)   'vf_preds': <tf.Tensor 'default_policy/vf_preds:0' shape=(?,) dtype=float32>}
(pid=1279)
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py:1354: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Use tf.where in 2.0, which has the same broadcast rule as np.where
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py:1354: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Use tf.where in 2.0, which has the same broadcast rule as np.where
(pid=1279) 2019-12-29 10:34:16,926	INFO rollout_worker.py:742 -- Built policy map: {'default_policy': <ray.rllib.policy.tf_policy_template.PPOTFPolicy object at 0x7f43eaa8c128>}
(pid=1279) 2019-12-29 10:34:16,926	INFO rollout_worker.py:743 -- Built preprocessor map: {'default_policy': <ray.rllib.models.preprocessors.NoPreprocessor object at 0x7f43eaa8c048>}
(pid=1279) 2019-12-29 10:34:16,926	INFO rollout_worker.py:356 -- Built filter map: {'default_policy': <ray.rllib.utils.filter.NoFilter object at 0x7f43eaa7feb8>}
(pid=1279) 2019-12-29 10:34:16,955	INFO multi_gpu_optimizer.py:93 -- LocalMultiGPUOptimizer devices ['/cpu:0']
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721ef0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721ef0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721ef0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721ef0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721f28>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721eb8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721eb8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721eb8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4721eb8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a467dc18>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a467dc18>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a467dc18>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a467dc18>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4735320>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4735320>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4735320>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4735320>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46c4b00>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46c4b00>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46c4b00>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46c4b00>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4696128>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4696128>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4696128>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4696128>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a405a128>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a405a128>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a405a128>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a405a128>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4047f28>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4047f28>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4047f28>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4047f28>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/compat/v2_compat.py:61: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) non-resource variables are not supported in the long term
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a407c7b8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2cf8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2cf8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2cf8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2cf8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2438>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2438>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2438>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43877d2438>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46dc860>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46dc860>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46dc860>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a46dc860>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4061978>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4061978>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4061978>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f43a4061978>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1279) 2019-12-29 10:34:23,100	INFO trainable.py:105 -- _setup took 12.486 seconds. If your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads.
(pid=1279) 2019-12-29 10:34:23,100	WARNING util.py:47 -- Install gputil for GPU system monitoring.
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/policy/tf_policy.py:570: Variable.load (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Prefer Variable.assign which has equivalent behavior in 2.X.
(pid=1279) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/policy/tf_policy.py:570: Variable.load (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
(pid=1279) Instructions for updating:
(pid=1279) Prefer Variable.assign which has equivalent behavior in 2.X.
(pid=1325) 2019-12-29 10:34:23,642	INFO rollout_worker.py:319 -- Creating policy evaluation worker 1 on CPU (please ignore any CUDA init errors)
(pid=1325) 2019-12-29 10:34:23.667857: 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=1325) 2019-12-29 10:34:23.672795: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:<PHONE_NUMBER> Hz
(pid=1325) 2019-12-29 10:34:23.673068: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x70320e0 executing computations on platform Host. Devices:
(pid=1325) 2019-12-29 10:34:23.673098: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): ,
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/fcnet_v1.py:48: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Use keras.layers.dense instead.
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/fcnet_v1.py:48: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Use keras.layers.dense instead.
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac3c8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac3c8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac3c8>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac3c8>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac470>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac470>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac470>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac470>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c402860>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c402860>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c402860>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c402860>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c3ec390>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c3ec390>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c3ec390>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c3ec390>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/tf_action_dist.py:138: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Use tf.cast instead.
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/tf/tf_action_dist.py:138: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Use tf.cast instead.
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feacc50>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feacc50>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feacc50>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feacc50>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917feac908>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c4015c0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c4015c0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) WARNING:tensorflow:Entity <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c4015c0>> could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: converting <bound method Dense.call of <tensorflow.python.layers.core.Dense object at 0x7f917c4015c0>>: AssertionError: Bad argument number for Name: 3, expecting 4
(pid=1325) 2019-12-29 10:34:24.851197: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set.  If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU.  To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
(pid=1325) 2019-12-29 10:34:24,875	INFO dynamic_tf_policy.py:324 -- Initializing loss function with dummy input:
(pid=1325)
(pid=1325) { 'action_prob': <tf.Tensor 'default_policy/action_prob:0' shape=(?,) dtype=float32>,
(pid=1325)   'actions': <tf.Tensor 'default_policy/actions:0' shape=(?, 5) dtype=float32>,
(pid=1325)   'advantages': <tf.Tensor 'default_policy/advantages:0' shape=(?,) dtype=float32>,
(pid=1325)   'behaviour_logits': <tf.Tensor 'default_policy/behaviour_logits:0' shape=(?, 10) dtype=float32>,
(pid=1325)   'dones': <tf.Tensor 'default_policy/dones:0' shape=(?,) dtype=bool>,
(pid=1325)   'new_obs': <tf.Tensor 'default_policy/new_obs:0' shape=(?, 25) dtype=float32>,
(pid=1325)   'obs': <tf.Tensor 'default_policy/observation:0' shape=(?, 25) dtype=float32>,
(pid=1325)   'prev_actions': <tf.Tensor 'default_policy/action:0' shape=(?, 5) dtype=float32>,
(pid=1325)   'prev_rewards': <tf.Tensor 'default_policy/prev_reward:0' shape=(?,) dtype=float32>,
(pid=1325)   'rewards': <tf.Tensor 'default_policy/rewards:0' shape=(?,) dtype=float32>,
(pid=1325)   'value_targets': <tf.Tensor 'default_policy/value_targets:0' shape=(?,) dtype=float32>,
(pid=1325)   'vf_preds': <tf.Tensor 'default_policy/vf_preds:0' shape=(?,) dtype=float32>}
(pid=1325)
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py:1354: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Use tf.where in 2.0, which has the same broadcast rule as np.where
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py:1354: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Use tf.where in 2.0, which has the same broadcast rule as np.where
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/policy/tf_policy.py:570: Variable.load (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Prefer Variable.assign which has equivalent behavior in 2.X.
(pid=1325) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/policy/tf_policy.py:570: Variable.load (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
(pid=1325) Instructions for updating:
(pid=1325) Prefer Variable.assign which has equivalent behavior in 2.X.
(pid=1325) 2019-12-29 10:34:26,177	INFO rollout_worker.py:451 -- Generating sample batch of size 200
(pid=1325) 2019-12-29 10:34:28,273	INFO sampler.py:304 -- Raw obs from env: { 0: { 'agent0': np.ndarray((25,), dtype=int64, min=0.0, max=0.0, mean=0.0)}}
(pid=1325) 2019-12-29 10:34:28,274	INFO sampler.py:305 -- Info return from env: {0: {'agent0': None}}
(pid=1325) 2019-12-29 10:34:28,277	INFO sampler.py:403 -- Preprocessed obs: np.ndarray((25,), dtype=int64, min=0.0, max=0.0, mean=0.0)
(pid=1325) 2019-12-29 10:34:28,277	INFO sampler.py:407 -- Filtered obs: np.ndarray((25,), dtype=int64, min=0.0, max=0.0, mean=0.0)
(pid=1325) 2019-12-29 10:34:28,278	INFO sampler.py:521 -- Inputs to compute_actions():
(pid=1325)
(pid=1325) { 'default_policy': [ { 'data': { 'agent_id': 'agent0',
(pid=1325)                                   'env_id': 0,
(pid=1325)                                   'info': None,
(pid=1325)                                   'obs': np.ndarray((25,), dtype=int64, min=0.0, max=0.0, mean=0.0),
(pid=1325)                                   'prev_action': np.ndarray((5,), dtype=float32, min=0.0, max=0.0, mean=0.0),
(pid=1325)                                   'prev_reward': 0.0,
(pid=1325)                                   'rnn_state': []},
(pid=1325)                         'type': 'PolicyEvalData'}]}
(pid=1325)
(pid=1325) 2019-12-29 10:34:28,278	INFO tf_run_builder.py:92 -- Executing TF run without tracing. To dump TF timeline traces to disk, set the TF_TIMELINE_DIR environment variable.
(pid=1325) 2019-12-29 10:34:28,327	INFO sampler.py:548 -- Outputs of compute_actions():
(pid=1325)
(pid=1325) { 'default_policy': ( np.ndarray((1, 5), dtype=float32, min=-2.137, max=0.31, mean=-0.816),
(pid=1325)                       [],
(pid=1325)                       { 'action_prob': np.ndarray((1,), dtype=float32, min=0.0, max=0.0, mean=0.0),
(pid=1325)                         'behaviour_logits': np.ndarray((1, 10), dtype=float32, min=0.0, max=0.0, mean=0.0),
(pid=1325)                         'vf_preds': np.ndarray((1,), dtype=float32, min=0.0, max=0.0, mean=0.0)})}
(pid=1325)
2019-12-29 10:34:31,351	ERROR trial_runner.py:550 -- Error processing event.
Traceback (most recent call last):
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/tune/trial_runner.py", line 498, in _process_trial
result = self.trial_executor.fetch_result(trial)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/tune/ray_trial_executor.py", line 342, in fetch_result
result = ray.get(trial_future[0])
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/worker.py", line 2247, in get
raise value
ray.exceptions.RayTaskError: ray_PPO:train() (pid=1279, host=ins7460)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/agents/trainer.py", line 369, in train
raise e
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/agents/trainer.py", line 358, in train
result = Trainable.train(self)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/tune/trainable.py", line 171, in train
result = self._train()
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/agents/trainer_template.py", line 126, in _train
fetches = self.optimizer.step()
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/optimizers/multi_gpu_optimizer.py", line 140, in step
self.num_envs_per_worker, self.train_batch_size)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/optimizers/rollout.py", line 29, in collect_samples
next_sample = ray_get_and_free(fut_sample)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/utils/memory.py", line 33, in ray_get_and_free
result = ray.get(object_ids)
ray.exceptions.RayTaskError: ray_RolloutWorker:sample() (pid=1325, host=ins7460)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/evaluation/rollout_worker.py", line 453, in sample
batches = [self.input_reader.next()]
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/evaluation/sampler.py", line 56, in next
batches = [self.get_data()]
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/evaluation/sampler.py", line 97, in get_data
item = next(self.rollout_provider)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/evaluation/sampler.py", line 313, in _env_runner
soft_horizon)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/evaluation/sampler.py", line 401, in _process_observations
policy_id).transform(raw_obs)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/preprocessors.py", line 166, in transform
self.check_shape(observation)
File "/home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/ray/rllib/models/preprocessors.py", line 61, in check_shape
self._obs_space, observation)
ValueError: ('Observation outside expected value range', Box(25,), array([ 0.13033402,  0.86966598,  1.        ,  0.04617912,  0.00612267,
0.16956682, -0.00946337,  0.16952428,  0.06460617,  0.00908585,
0.04033486,  0.00979989,  0.00459936, -0.03016351,  0.00443692,
0.        ,  0.        ,  0.        ,  0.        ,  0.        ,
0.        ,  0.        ,  0.        ,  0.        ,  0.        ]))

2019-12-29 10:34:31,356	INFO trial_runner.py:587 -- Attempting to recover trial state from last checkpoint.
2019-12-29 10:34:31,371	WARNING signature.py:108 -- The function with_updates has a **kwargs argument, which is currently not supported.
(pid=1279) 2019-12-29 10:34:31,348	INFO trainer.py:366 -- Worker crashed during call to train(). To attempt to continue training without the failed worker, set 'ignore_worker_failures': True.
== Status ==
Using FIFO scheduling algorithm.
Resources requested: 2/2 CPUs, 0/1 GPUs
Memory usage on this node: 5.5/8.3 GB
Result logdir: /home/elizabeth/ray_results/stabilizing_open_network_merges
Number of trials: 1 ({'RUNNING': 1})
RUNNING trials:

PPO_MergePOEnv-v0_0:	RUNNING, 3 failures: /home/elizabeth/ray_results/stabilizing_open_network_merges/PPO_MergePOEnv-v0_0_2019-12-29_10-33-102tsagrr5/error_2019-12-29_10-34-31.txt

(pid=1375) WARNING:tensorflow:From /home/elizabeth/anaconda3/envs/MultiAgent/lib/python3.6/site-packages/tensorflow/python/compat/v2_compat.py:61: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
(pid=1375) Instructions for updating:
(pid=1375) non-resource variables are not supported in the long term
(pid=1375) 2019-12-29 10:34:35,080	WARNING ppo.py:143 -- FYI: By default, the value function will not share layers with the policy model ('vf_share_layers': False).
2019-12-29 10:46:34,384	ERROR worker.py:1714 -- The node with client ID 726b2cdb271f6b362b622698e881a5012e52a5ed has been marked dead because the monitor has missed too many heartbeats from it.

I am not sure whether it is beacuse I open too much parallel workers which my pc can't support?
Or it is beacuse any other reasons.


HBoxContainer: The order of elements is not updated on viewport.

1  Put some buttons as children of a HboxContainer,
2  Change the order of buttons in scene editor (move node up / move node down),
issue:
The order of elements is not updated on viewport.
expected:
real-time update.
ps: The elements get updated only if I use hide and unhide in scene editor.
godot 2.0 alpha

Closing as duplicate of #2809, they are almost exactly about the same thing, and the resolution will likely be the same.


Release minor version 46.1.0

The reason for a minor version bump is because we are introducing
non-breakable API changes (4 new endpoints).

This'll have to be 47 because it includes the removal of content-api #709


[Feat] : Added course platform section in sidebar !!

Related Issue
Closes #654

Description
Added a course section in sidebar having some links ( Actually 3 Links in first )
Screenshots

Checklist

[x] My code adheres to the established style guidelines of the project.
[x] I have included comments in areas that may be difficult to understand.
[x] My changes have not introduced any new warnings.
[x] I have conducted a self-review of my code.

The section should have at least have 8 tools

Hey I have added 8 tools for course section you can check it out now !! BTW I wanna ask about this PR Title Checker and Github actions How you are utilizing them in your project ??

Screenshot

Hello, contributors! This is Jason speaking. Due to some workflow issues, we will be closing all the PRs today. Therefore, I kindly request all of you to create new PRs tomorrow, as the currently open ones will be closed by our team. I apologize for any inconvenience caused. Also, please make sure to check the titles when creating the PRs. You can refer to the README.md for more details. Thank you.


And the CS/VB Code?

And the Code???
Steps to reproduce the bug

Go to any example
Search the code, only shows the XamL Code, but no the event (cs/vb)
Appears Click(event)="example_Click" but the example_Click  code??

Screenshots

Expected behavior
Show the VB/CS Code
Actual behavior
Programming C# in XAML/WinUI 3, only shows the XAML code, but no the CS/VB Code
Version Info

[ WinUI 3 Controls Gallery ] App downloaded from Store

<IP_ADDRESS>

Windows version:

[ Windows 11 ] Insider Build (10.0.22000.176 / 21H2)

Device form factor:

[ Windows ] Desktop

I think this was closed by #786, strange why merging that PR didn't close this issue.

Yes that is weird. I will just manually close it now.

Thanks for pointing this out @chingucoding


Archived lable highglight via linear gradient

Sponsored by Kithara Software GmbH

This may reduce contrast depending on color. I think it could be improved by adding dark stripes when text is white and light stripes when text is black, but you would likely need a classname to know which variant to apply.

will the general concept work? (Yes/NO)

I'm undecided. Think at least the stripes need to be wider to make an impact on these small lables, maybe 2-3px per stripe.

Maybe like this:
# label with black text
repeating-linear-gradient(-45deg, transparent, transparent 6px, #fff5 6px, #fff5 12px)

# label with white text
repeating-linear-gradient(-45deg, transparent, transparent 6px, #0005 6px, #0005 12px)

Certainly tricky because the lighter/darker the label, the harder it is to see.

So yes, I think it could work. You would need to use CSS multiple background feature, and it could either be added as inline style like current color is or with a CSS class like light-text and dark-text and if we go that route, I would also move the current inline style for color to CSS.
background: <color>, <gradient>

For testing one could do a very dirty kind of CSS selector:
.archived-label[style*="color: #fff"] {
  background-image: repeating-linear-gradient(-45deg, transparent, transparent 6px, #0005 6px, #0005 12px);
}

.archived-label[style*="color: #000"] {
  background-image: repeating-linear-gradient(-45deg, transparent, transparent 6px, #fff5 6px, #fff5 12px);
}

@delvh this is not ready yet 😆.

@silverwind updated screnshoot

An archived label should not have a highlight UI. It should be grey or disabled. Maybe a dashed line border is better.

I personally am for highlighting ... as:

Normaly you dont interact with them
They should be easy to spot or at least differentiate
we already grey out atm ... but you can not see them easily as archived ... amd completly grey is just another color of lables so thats no good indicator

I personally am for highlighting ... as:
1. Normaly you dont interact with them

2. They should be easy to spot or at least differentiate

3. we already grey out atm ... but you can not see them easily as archived ... amd completly grey is just another color of lables so thats no good indicator

Since it's archived, it should not be highlighted. Isn't it?

in this logic we should "highlight" the normal labels ?

in this logic we should "highlight" the normal labels ?

We should not  highlight any labels and archived labels should have a special gray color.

We should not highlight any labels and archived labels should have a special gray color.

they do ... so it is as is :/
for those who want the patch, just use some custom css:
.archived-label {
  /* we disable upstream highlighting style */
  filter: none !important;
  opacity: 1 !important;
}

/* we applay proposed change of https://github.com/go-gitea/gitea/pull/30376 */
.archived-label[style^="color: #000"],
.archived-label.scope-parent .scope-left[style^="color: #000"],
.archived-label.scope-parent .scope-right[style^="color: #000"] {
  background-image: repeating-linear-gradient(
    -45deg,
    transparent,
    transparent 6px,
    rgba(0, 0, 0, 0.2) 6px,
    rgba(0, 0, 0, 0.2) 12px
  );
}
.archived-label[style^="color: #fff"],
.archived-label.scope-parent .scope-left[style^="color: #fff"],
.archived-label.scope-parent .scope-right[style^="color: #fff"] {
  background-image: repeating-linear-gradient(
    -45deg,
    transparent,
    transparent 6px,
    rgba(255, 255, 255, 0.3) 6px,
    rgba(255, 255, 255, 0.3) 12px
  );
}

scope-left[style^="color: #000"] is too tricky.
If you could use a standard class name, and determine it from label render (light or dark), then it could look good to me.


Unlock the email

Code of Conduct

[X] I have read and agree to the GitHub Docs project's Code of Conduct

What article on docs.github.com is affected?
Please link to the article you'd like to see updated.
What part(s) of the article would you like to see updated?
Give as much detail as you can to help us understand the change you want to see.
Additional information
Add any other context or screenshots about the feature request here.

Add any other context or screenshots about the feature request here.

CODE_OF_CONDUCT.md


[file_crash_bug] KeyError: 'cf_crash_signature'

2023-08-29 00:42:33,283 - ERROR - Rule file_crash_bug
Traceback (most recent call last):
  File "/home/rm_bot/bugbot/bugbot/bzcleaner.py", line 844, in run
    self.send_email(date=date)
  File "/home/rm_bot/bugbot/bugbot/bzcleaner.py", line 763, in send_email
    data = self.get_email_data(date)
  File "/home/rm_bot/bugbot/bugbot/bzcleaner.py", line 681, in get_email_data
    bugs = self.get_bugs(date=date)
  File "/home/rm_bot/bugbot/bugbot/rules/file_crash_bug.py", line 88, in get_bugs
    signatures = data_fetcher.analyze()
  File "/home/rm_bot/bugbot/bugbot/crash/analyzer.py", line 909, in analyze
    bugs = self.fetch_bugs()
  File "/home/rm_bot/bugbot/bugbot/crash/analyzer.py", line 883, in fetch_bugs
    ).wait()
  File "/home/rm_bot/bugbot/venv/lib/python3.10/site-packages/libmozdata/bugzilla.py", line 177, in wait
    super(Bugzilla, self).wait()
  File "/home/rm_bot/bugbot/venv/lib/python3.10/site-packages/libmozdata/connection.py", line 135, in wait
    r.result()
  File "/usr/local/lib/python3.10/concurrent/futures/_base.py", line 458, in result
    return self.__get_result()
  File "/usr/local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
    raise self._exception
  File "/usr/local/lib/python3.10/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/home/rm_bot/bugbot/venv/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
    resp = self.send(prep, **send_kwargs)
  File "/home/rm_bot/bugbot/venv/lib/python3.10/site-packages/requests/sessions.py", line 710, in send
    r = dispatch_hook("response", hooks, r, **kwargs)
  File "/home/rm_bot/bugbot/venv/lib/python3.10/site-packages/requests/hooks.py", line 30, in dispatch_hook
    _hook_data = hook(hook_data, **kwargs)
  File "/home/rm_bot/bugbot/venv/lib/python3.10/site-packages/libmozdata/connection.py", line 120, in cb
    query.handler(response, query.handlerdata)
  File "/home/rm_bot/bugbot/bugbot/crash/analyzer.py", line 868, in handler
    for signature in utils.get_signatures(bug["cf_crash_signature"]):
KeyError: 'cf_crash_signature'

This happens because some bugs do not return the cf_crash_signature filed.
Example: bug 436817
https://bugzilla.mozilla.org/rest/bug/436817?include_fields=id,cf_crash_signature:
{
  "bugs": [
    {
      "id": 436817
    }
  ],
  "faults": []
}

Fixed by https://github.com/mozilla-bteam/bmo/pull/2109

Happening again (see bug 1854648):
Product: `Firefox for Metro Graveyard` - Bug 853856 has no cf_crash_signature
Product: `Socorro` - Bug 1852426 has no cf_crash_signature

Fixed by https://github.com/mozilla-bteam/bmo/pull/2119

Happening again (see bug 1868715):
Product: `Infrastructure & Operations Graveyard` - Bug 895845 has no `cf_crash_signature` field

Fixed by https://github.com/mozilla-bteam/bmo/pull/2144

Happening again (see bug 1870988):
Product: `Camino Graveyard` - Bug 707440 has no cf_crash_signature field

Fixed by https://github.com/mozilla-bteam/bmo/pull/2159

Happening again (see bug 1913316):
Product: `Firefox OS Graveyard` - Bug 824777 has no cf_crash_signature

Fixed by https://github.com/mozilla-bteam/bmo/pull/2299


Cargo purchasable items

[ ] #909
[x] #910
[ ] #911
[ ] #912
[ ] #913
[ ] #914
[ ] #915
[ ] #916
[ ] #917
[ ] #918
[ ] #919
[ ] #920
[ ] #921
[ ] #922
[ ] #923
[ ] #924

Not everything on every issue is required, it's mostly a collection of missing stuff
If the crate has an item that's not on the todo list just mention it and I'll probably move it to p2


Fix multiline secrets replacer

Fixes #694
FollowUp #671

Thank you for your investigation on that issue. ❤

tbh I'm not sure how I can interpret the failed test and what I can do now

let me check

heh I did trim but not had an idea there could be newlines in-between :D

heh I did trim but not had an idea there could be newlines in-between :D

secrets are filled with user text input, so we can expect every kind of input madness as usual :D

I thought about one char secrets - but that's the user vault so i didnt add a min text lengh check ;) - but your case is a valid one!


Does not indicate how to do this activity using VS on MacOS

Hi,
I think it would greatly help if this page also showed the screens and steps on how to create a simple Forms Application on the Visual Studio for MacOS also.

Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

ID: d8664d15-b038-4d16-3a83-c7c3354997c1
Version Independent ID: 04a14caf-8611-d997-8ab7-9b4ac6db7730
Content: Create a Windows Forms app with Visual Basic - Visual Studio
Content Source: docs/ide/create-a-visual-basic-winform-in-visual-studio.md
Product: visual-studio-windows
Technology: vs-ide-general
GitHub Login: @ornellaalt
Microsoft Alias: ornella

@xamarinermanoj -- thank you for your suggestion.  Please consider these resources:

Visual Studio on Q&A
https://social.msdn.microsoft.com/Forums/vstudio
https://www.stackoverflow.com
https://www.reddit.com/r/VisualStudio/

Hi @xamarinermanoj, please see our Visual Studio for Mac documentation for Mac-specific tutorials.


[T3A3][T2] Kevin Lam

@kevinLamKB

Some functionality can be moved to the parent class constructor.
Some comments added. Please close the PR after reading them.


CSI-Node-Driver - missing tolerations

CSI-Node-Driver missing tolerations. How can we supply them - operator has correct tolerations set - what are consequences of not deploying it on every node ?
Expected Behavior
Operator creates csi-node-driver with tolerations that allow it to run on every node.
Current Behavior
Any taints on the node block csi-node-driver from tigera-operator.
Possible Solution
Some way to configure tigera-operator to apply Exists toleration on DS. Or follow best practices for daemonsets that should run everywhere to use "- operator: Exists" toleration..
Steps to Reproduce (for bugs)
Deploy Calico using tigera-operator 3.24.5
Context
Not sure whether this DS should run on every node together with calico-node.
Your Environment
EKS 1.23

It looks like it will be in the operator v1.28.11 image.

Hey @tmjd the latest Helm chart that I can see for v3.24.5 line has this:
12:15 $ helm template calico projectcalico/tigera-operator --version=v3.24.5 | grep image:
WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /home/ubuntu/.kube/config
          image: quay.io/tigera/operator:v1.28.5

currently I got v3.24.1 installed with
image: quay.io/tigera/operator:v1.28.1
so can I just override the tag version in values.yaml for the currently used Helm chart (v3.24.1) to v1.28.11, or should I upgrade Helm chart to v3.24.5 first? but then would need to still override the image tag as it only comes with v1.28.5?
Wonder what is the best way to get this fix into my current clusters without affecting things too much, as it seems it is working in general (what would be the consequence of not having CSI-Node-Driver on a node? that is whn it only has calico-node ds rolled out on it?). Many thanks!


some error in UniMER dataset

I found that in the latex results of formula recognition, there is a small probability of non-existent characters such as \delta. After careful comparison with the training dataset, I found that for some special font characters, the corresponding PNG images are not rendered successfully:
For example, images/0921794. png: "{\ mathrm {\ Delta} l} _ {i}=\ mathrm {\ Delta} l ",does not have \Delta in PNG,
Other examples such as \ boldmath~\ omega~(0979049. png), \ boldmath~\ lambda~(1018942. png), etc., may have an impact on the training effectiveness of the model. It is hoped that they can be fixed.

When I discovered that there were non-existent characters such as \delta in the test formula, I used a script to extract all the images with that character and quickly looked at a part of them.
I found that 1) there were missing characters in the images for the corresponding Greek letters; 2) Images like \boldmath, which cannot be rendered on many LaTeX renderers, may also missing the content after boldmath; 3) Apart from \mathrm, \mathbf seems to have corresponding issues as well

@ManiiXu We have identified and resolved the issue causing the rendering problems you highlighted. It appears that when Greek letters are enclosed within \mathbf or \mathrm environments, xelatex struggles to render them correctly. To address this, we have switched our rendering process to pdflatex, which has proven more reliable for these cases.
Dataset Updates:
UniMER-1M/images: Replaced 2,451 files.
UniMER-Test/spe: Updated 26 files.
UniMER-Test/cpe: Corrected 81 files.
The updated dataset is now available for download directly from OpenDataLab or Hugging Face.


Always show BlackBox parameters in alphabetical key order

Always show BlackBox parameters in alphabetical key order
Includes test
Contributor Checklist

[x] Did you add Scaladoc to every public function/method?
[x] Did you add at least one test demonstrating the PR?
[x] Did you delete any extraneous printlns/debugging code?
[x] Did you specify the type of improvement?
[x] Did you add appropriate documentation in docs/src?
[x] Did you state the API impact?
[x] Did you specify the code generation impact?
[x] Did you request a desired merge strategy?
[x] Did you add text to be included in the Release Notes for this change?

Type of Improvement

backend code generation

API Impact
No API change
Backend Code Generation Impact
Verilog is changed
Verilog generation of blackboxes will have the parameter map ordered alphabetically by key
Desired Merge Strategy

Squash: The PR will be squashed and merged (choose this if you have no preference.

Release Notes
Verilog is changed
Verilog generation of blackboxes will have the parameter map ordered alphabetically by key
Reviewer Checklist (only modified by reviewer)

[ ] Did you add the appropriate labels?
[ ] Did you mark the proper milestone (Bug fix: 3.4.x, [small] API extension: 3.5.x, API modification or big change: 3.6.0)?
[ ] Did you review?
[ ] Did you check whether all relevant Contributor checkboxes have been checked?
[ ] Did you do one of the following when ready to merge:

[ ] Squash: You/ the contributor Enable auto-merge (squash), clean up the commit message, and label with Please Merge.
[ ] Merge: Ensure that contributor has cleaned up their commit history, then merge with Create a merge commit.

looks good! Should we backport this even though it changes the verilog, as it is basically a bug?

looks good! Should we backport this even though it changes the verilog, as it is basically a bug?

This is a tough one, because even though the previous output is not ordered and the order will scramble if you add another parameter, it was at least stable between runs. I'm inclined to not backport this but am open to being convinced.


Unique Index For Users

User Story:  Server should assign a unique id to each attached user (u_id).
We can use Router-Dealer example of NetMQ to differentiate clients. http://netmq.readthedocs.io/en/latest/router-dealer/
Acceptance Criteria:

Server should keep a structure that allows us to search users/clients with their u_ids.

I believe @gavinuhma has implemented this functionality.

Yes :) waiting for him to commit. Current implementation gets client ids but it doesn’t store them.
We can also consider a secure authorization mechanism like using Json Web Tokens, but no rush :)

Something worth considering - the number of client users into a single Mine is probably going to be quite small. From clients like PySyft - i'd be surprised if a mine ever had more than 1 or 2. However, mine->mine communication will probably be quite a few more to facilitate the training.

but concurrently i'd be surprised if there were more than a dozen or so - simply because the local GPU is unlikely to process more models that that at one time


flutter run error

Steps to reproduce
1.till yesterday my app was working fine and there wwas no issues
2. today when i tried to run my app in my phone it showed this error
3. i tried to open a new flutter project and tried to copy my project lib files
4. but sstill the issue is persisting
Expected results
i expected my app to run but the results i got is mentioned below
Actual results
FAILURE: Build failed with an exception.

What went wrong:
Execution failed for task ':app:processDebugResources'.

A failure occurred while executing com.android.build.gradle.internal.res.LinkApplicationAndroidResourcesTask$TaskAction
Android resource linking failed
ERROR: C:\Users\USER.gradle\caches\8.10.2\transforms\63b64b5351e4f5bee062b9deefa32bd8\transformed\jetified-standard-core-1.6.42\AndroidManifest.xml:60:9-63:66: AAPT: error: resource style/Theme.AppCompat.NoActionBar (aka com.example.service_connect_real:style/Theme.AppCompat.NoActionBar) not found.

Try:

Run with --stacktrace option to get the stack trace.
Run with --info or --debug option to get more log output.
Run with --scan to get full insights.
Get more help at https://help.gradle.org.

BUILD FAILED in 3s
Code sample
Code sample
plugins {
    id "com.android.application"
    id "kotlin-android"
    // The Flutter Gradle Plugin must be applied after the Android and Kotlin Gradle plugins.
    id "dev.flutter.flutter-gradle-plugin"
}

android {
    namespace = "com.example.service_connect_real"
    compileSdk = flutter.compileSdkVersion
    ndkVersion "25.2.9519653"

    compileOptions {
        sourceCompatibility = JavaVersion.VERSION_17
        targetCompatibility = JavaVersion.VERSION_17
    }

    kotlinOptions {
        jvmTarget = JavaVersion.VERSION_17
    }

    defaultConfig {
        // TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).
        applicationId = "com.example.service_connect_real"
        // You can update the following values to match your application needs.
        // For more information, see: https://flutter.dev/to/review-gradle-config.
        minSdk = flutter.minSdkVersion
        targetSdk = flutter.targetSdkVersion
        versionCode = flutter.versionCode
        versionName = flutter.versionName
    }

    buildTypes {
        release {
            // TODO: Add your own signing config for the release build.
            // Signing with the debug keys for now, so `flutter run --release` works.
            signingConfig = signingConfigs.debug
        }
    }
}

flutter {
    source = "../.."
}

Screenshots or Video

Screenshots / Video demonstration
[Upload media here]

Logs
Logs
[Paste your logs here]

Flutter Doctor output
Doctor output
Doctor summary (to see all details, run flutter doctor -v):
[√] Flutter (Channel stable, 3.24.4, on Microsoft Windows [Version 10.0.22631.4460], locale en-IN)
[√] Windows Version (Installed version of Windows is version 10 or higher)
[√] Android toolchain - develop for Android devices (Android SDK version 34.0.0)
[√] Chrome - develop for the web
[√] Visual Studio - develop Windows apps (Visual Studio Community 2022 17.11.5)
[√] Android Studio (version 2024.2)
[√] VS Code (version 1.95.3)
[√] Connected device (3 available)
[√] Network resources

• No issues found!

can any one please explain to me what the issue is and how to solve it?

no i haven't
[√] Flutter (Channel stable, 3.24.4, on Microsoft Windows [Version 10.0.22631.4541], locale en-IN)
• Flutter version 3.24.4 on channel stable at C:\fluttter\src\flutter
• Upstream repository https://github.com/flutter/flutter.git
• Framework revision 603104015d (5 weeks ago), 2024-10-24 08:01:25 -0700
• Engine revision db49896cf2
• Dart version 3.5.4
• DevTools version 2.37.3
[√] Windows Version (Installed version of Windows is version 10 or higher)
[√] Android toolchain - develop for Android devices (Android SDK version 34.0.0)
• Android SDK at C:\Users\USER\AppData\Local\Android\sdk
• Platform android-34, build-tools 34.0.0
• Java binary at: C:\Program Files\Android\Android Studio\jbr\bin\java
• Java version OpenJDK Runtime Environment (build 21.0.3+-12282718-b509.11)
• All Android licenses accepted.
[√] Chrome - develop for the web
• Chrome at C:\Program Files\Google\Chrome\Application\chrome.exe
[√] Visual Studio - develop Windows apps (Visual Studio Community 2022 17.11.5)
• Visual Studio at C:\Program Files\Microsoft Visual Studio\2022\Community
• Visual Studio Community 2022 version 17.11.35327.3
• Windows 10 SDK version 10.0.22621.0
[√] Android Studio (version 2024.2)
• Android Studio at C:\Program Files\Android\Android Studio
• Flutter plugin can be installed from:
https://plugins.jetbrains.com/plugin/9212-flutter
• Dart plugin can be installed from:
https://plugins.jetbrains.com/plugin/6351-dart
• android-studio-dir = C:\Program Files\Android\Android Studio
• Java version OpenJDK Runtime Environment (build 21.0.3+-12282718-b509.11)
[√] VS Code (version 1.95.3)
• VS Code at C:\Users\USER\AppData\Local\Programs\Microsoft VS Code
• Flutter extension can be installed from:
https://marketplace.visualstudio.com/items?itemName=Dart-Code.flutter
[√] Connected device (2 available)
• Windows (desktop) • windows • windows-x64    • Microsoft Windows [Version 10.0.22631.4541]
• Chrome (web)      • chrome  • web-javascript • Google Chrome 131.0.6778.86
[√] Network resources
• All expected network resources are available.
• No issues found!

Please provide the full output of flutter run -v that captures the error. The output may be huge so kindly put it into a .txt file and attach it here.
Thank you


Duplicate full screen icon

📝 Provide a description of the new feature
After installing, I saw two Full-Screen buttons at the bottom right, can you write a snippet or sth to hide the default one? I tried sth like this .main-miniPlayer {   display: none;} but did not work.
➕ Additional Information
No response

NM, just solved it :)


How does the frozen model for speech recognition has been created?

After following the steps train.py and freeze.py from "https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/audio_recognition.md", The inputs of my frozen model(https://imgur.com/a/JtNVkHw) is quite different from the actual frozen model conv_actions_frozen.pb(https://imgur.com/a/KJXExbV). What changes should I make to get the original frozen model for speech recognition?.
My Python version is 3.7.3 and Tensor flow version is 2.1.0

@erksch Kindly go through the question

Hey @vihari1729
I will try to give a detailed walkthrough (if I remember :D).
I am a little bit occupied at the moment but will try to do it today or tomorrow.

@erksch Thanks for the reply. From the tutorial i suspect something need to change in freeze.py. Because in the netron the structure of the model is changing after the creation of frozen(.pb) model.

I have the exact same differences in the models on the Netron view, but honestly, it works nonetheless in my case. Have you tried using the model anyway?

Those are the commands / code I use for freezing and converting to tflite which results in a working model that I can run on android.
Freezing:
python freeze.py \
--start_checkpoint=/path/to/checkpoint \
--output_file=/tmp/frozen_graph.pb \
--data_url='' \
--data_dir=<path to data> \
--wanted_words=<comma separated list of wanted words>

freeze.py from here.
Converting to tflite:
converter = TFLiteConverter.from_frozen_graph(
    'path/to/frozen_graph.pb',
    input_arrays=['decoded_sample_data', 'decoded_sample_data:1'],
    output_arrays=['labels_softmax'])

converter.allow_custom_ops=True
model = converter.convert()
open('model.tflite', 'wb').write(model)

@erksch After following the steps my tflite model looks like this.When I am opening it in android studio by copying it into assets folder the app is getting crashed and not opening.

That's just a link to Netron. Can you post an imgur link? :)

@erksch Sorry for that.The frozen model which I got, when converted to tflite model it looks like this, where as the Official frozen model  when converted looks like this.
Yeah, It is getting crashed whenever I am opening the app

I think I have the same models. So I guess it is to debug the android application. What are the errors in your logcat?

@erksch     I am getting this error in logcat while running tflite model in android studio
java.lang.RuntimeException: Unable to start activity ComponentInfo{com.google.tflite.speechrecognition/com.google.tflite.speechrecognition.MainActivity}: java.lang.IllegalStateException: Internal error: Unexpected failure when preparing tensor allocations: Encountered unresolved custom op: AddV2.
Node number 4 (AddV2) failed to prepare

Hmm okay, I checked my models and they have indeed no AddV2 nodes.
Actually it might be that that's because you are using tensorflow 2.1.0.
Maybe something was changed in that release regarding tflite conversion which breaks the compatibility with the android application. What version of tensorflow lite are you including in your build.gradle on app level? For me it's:
implementation 'org.tensorflow:tensorflow-lite:2.0.0'

@erksch First of all Thank you very much, Finally it is working.
But now i did training for 22 variables (12+ zero to nine numbers in the dataset) and freeze it and converted to tflite model.But now when i am running it in android studio, I am getting error like this:
2020-02-26 18:42:46.015 32272-32335/com.google.tflite.speechrecognition E/AndroidRuntime: FATAL EXCEPTION: Thread-3
Process: com.google.tflite.speechrecognition, PID: 32272
java.lang.RuntimeException: The results for recognition should contain 12 elements, but there are 22
at com.google.tflite.speechrecognition.tflite.RecognizeCommands.processLatestResults(RecognizeCommands.kt:65)
at com.google.tflite.speechrecognition.MainActivity.recognize(MainActivity.kt:287)
at com.google.tflite.speechrecognition.MainActivity.access$recognize(MainActivity.kt:60)
at com.google.tflite.speechrecognition.MainActivity$startRecognition$1.run(MainActivity.kt:241)
at java.lang.Thread.run(Thread.java:764)
For this Do i need to do change anything manually in the MainActivity.kt code or somewhere?
Kindly Waiting for your response

There should be a file containing your labels. I think it is namend labels.txt or something in the assets folder of your android studio project. Make sure to add the labels you are using there. And maybe just search for the number 12 if its hard coded somewhere and replace it with 22.

@erksch I am using Kotlin code in android studio instead of java.I have given the labels.txt which has 22 labels in assets folder and. What i understood is i need to change the labels path both in speechInterpreter and MainActivity. But now the app is running and giving the same 10 labels font page., Though i trained with 22 labels.
PS : When i freeze the graph and test the audio files from validation.txt with the command label_wav.py,it is correctly recognising all the 20(+unkown and silence) labels. I also checked the tflite model and the output of labels_softmax showing the shape of the array(1,22)```

Great that you have it running!
Yeah now you have to start coding and developing your app :D I have no app ready for you that has a frontpage that is dynamic to the labels. Just try to understand how everthing works and make more fields for the rest of your labels.

Closing this issue as it has been resolved. Please add additional comments and we can open this issue again. Thanks!

I follow the exact same step but when I convert to TFLite I got the following error. Any idea? Similar to this issue https://stackoverflow.com/questions/59443695/different-model-on-speech-recognition
ConverterError                            Traceback (most recent call last)
 in ()
8
9 converter.allow_custom_ops=True
---> 10 model = converter.convert()
11 open('models/model.tflite', 'wb').write(model)
2 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/lite/python/convert.py in toco_convert_protos(model_flags_str, toco_flags_str, input_data_str, debug_info_str, enable_mlir_converter)
225       stdout = _try_convert_to_unicode(stdout)
226       stderr = _try_convert_to_unicode(stderr)
--> 227       raise ConverterError("See console for info.\n%s\n%s\n" % (stdout, stderr))
228   finally:
229     # Must manually cleanup files.
ConverterError: See console for info.
2020-05-09 01:29:04.994909: W tensorflow/compiler/mlir/lite/python/graphdef_to_tfl_flatbuffer.cc:89] Ignored output_format.
2020-05-09 01:29:04.994950: W tensorflow/compiler/mlir/lite/python/graphdef_to_tfl_flatbuffer.cc:95] Ignored drop_control_dependency.
Traceback (most recent call last):
File "/usr/local/bin/toco_from_protos", line 8, in
sys.exit(main())
File "/usr/local/lib/python2.7/dist-packages/tensorflow_core/lite/toco/python/toco_from_protos.py", line 93, in main
app.run(main=execute, argv=[sys.argv[0]] + unparsed)
File "/usr/local/lib/python2.7/dist-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python2.7/dist-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/usr/local/lib/python2.7/dist-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "/usr/local/lib/python2.7/dist-packages/tensorflow_core/lite/toco/python/toco_from_protos.py", line 56, in execute
enable_mlir_converter)
Exception: Input arrays can only have op with single output. Node op:DecodeWav


Dragging between two lists

Maybe I missed it but I can't figure out whether it's possible to drag items between two lists using this component (I want to have a list of enabled and a list of disabled features that can be sorted and enabled by moving between the lists).

Hey @jcuenod, see #138 for progress on this

ahh - sorry, thanks.

No worries 😄 👍

Hi, do we support for this now? Thank you in advance.

Hi, do we support for this now? Thank you in advance.

Hi, do we have example for this now?
I checked #138 we don't have demo link there.
Thank you in advance.

Demo Link:
https://codesandbox.io/embed/react-sortable-hoc-2-lists-5bmlq

Hi, do we have example for this now?
I checked #138 we don't have demo link there.
Thank you in advance.

Demo Link:
https://codesandbox.io/embed/react-sortable-hoc-2-lists-5bmlq


BC Application objects compile doesn't work well after importing changed objects

I have a case where I create a docker container with image for Business Central. When I create container I pass parameters to use existing database .bak file to restore it. This is the code for my container:
$myCoulture = Get-Culture
$myCoulture = $myCoulture.Name
$myscripts = @("c:\temp\navdbfiles\backup.bak")
$additionalParameters = @("--env bakfile=""c:\run\my\backup.bak""", "-e locale=""$($myCoulture)""")

New-NAVContainer -accept_eula `
                 -imageName mcr.microsoft.com/businesscentral/onprem:latest-ltsc2016 `
                 -containerName MainNavApp `
                 -clickonce `
                 -memoryLimit 5G `
                 -alwaysPull `
                 -includeCSide `
                 -Auth NavUserPassword `
                 -Credential $navcredential `
                 -isolation hyperv `
                 -licenseFile "C:\temp\6866676-20190625.FLF"  `
                 -myScripts $myscripts `
                 -additionalParameters $additionalParameters

After restoring the database in container I do NAV Tenant Sync, with code:
$containerName = "MainNavApp"
Invoke-ScriptInNavContainer -containerName $containerName -ScriptBlock {
    Get-NAVTenant NAV | Sync-NavTenant -Mode Sync -Force
}

At this point, container works as expected.
Also, at this point I try to import changed .cal objects using command:
Import-ObjectsToNavContainer -containerName $containerName -objectsFile $changedObjectsPath1 -sqlCredential $credential
Import works well also.
After that If I want to publish app to container I need to generate symbols and compile all application objects, I use this command:
$Session = Get-NavContainerSession -containerName MainNavApp
Invoke-Command -Session $Session -ScriptBlock {
Compile-NAVApplicationObject -DatabaseName mydatabase -DatabaseServer MainNavApp\SQLEXPRESS -Recompile -SynchronizeSchemaChanges Force -GenerateSymbolReference
}

But here is where the code breaks. After a while I get the next error:
: [23462397] You have specified an unknown variable.
GetUserRoles
Define the variable under 'Global C/AL symbols'. -- Object: Codeunit 9010 Azure AD User Management.GetGraphUserPlans line 16
    + CategoryInfo          : NotSpecified: (:) [Write-Error], WriteErrorException
    + FullyQualifiedErrorId : Microsoft.PowerShell.Commands.WriteErrorException,Compile-NAVApplicationObject
    + PSComputerName        : 511b39edcb6a09ae3039c1bb6eb0b154290bbf20c48f07d5b9832f4dfe875ee2

This error at compile application objects happens only if I import objects before compiling.
I made research what doest that error mean and on MS page it says:
link: https://docs.microsoft.com/en-us/dynamics365/business-central/dev-itpro/upgrade/resolve-compile-errors-when-converting-dynamics-nav-2018-database
The resolution of these problems is also mentioned here: https://docs.microsoft.com/en-us/dynamics365/business-central/dev-itpro/upgrade/resolve-cu-9010-error-converting-database
I tried to do as it says but no different result. I tried because I have no idea anymore what to do in that case and why that happens. I also read that when you choose to use your own database for NAV container some converting happens on the database as well.

This behavior is possible only in the container.
If I try to repeat that on a local installation of BC it works without any errors like that.
I also tried to import changed objects to the container using CSide and perform a compile, I got the same error as mentioned above.

Did anyone had similar situation wtih Business Central and Docker?

If you open CSIDE and try to compile codeunit 9010 - what happens then?
There is probably no way, where I can reproduce the error without a .bak file and a .fob file which shows the error.

It happens the same if I try to compile in CSIDE, I get an error: "Define the variable under 'Global C/AL symbols'. Object: Codeunit 9010 Azure."
I tried to use CRONUS database demo, I imported changed .fob and the compile worked well in this case.
I have no idea what could be wrong with the database in my case. Also, I didn't work much on the actual database yet because it's still in the development process. There are few (5) companies on it already some setup and not much data at all. The only modification I did is on records ID 7002 and 7004 which I am trying to import and compile after. But as I said if I use CRONUS and if I import these two records and recompile I get no error.
I can't get any idea what else I could check...

I don't think this has anything to do with docker.
If I am to help troubleshoot this, I would need the database bak file and the exact steps you use to reproduce the issue.

I think something happens with the database after import. Maybe converting? How can I check this what happens to the database?
Here on this link, I can't find anything about that: https://blogs.msdn.microsoft.com/freddyk/2018/03/20/navcontainerhelper-specify-your-own-database-backup-file-to-use-with-a-nav-container/
I think it has to be something with the version of the database and image I am using in container regarding the actual database and Business Central.
I have to check with my people how much I can share the database.

When using a .bak file - this happens:
    New-NAVDatabase -DatabaseServer $databaseServer `
                    -DatabaseInstance $databaseInstance `
                    -DatabaseName "$databaseName" `
                    -FilePath "$databaseFile" `
                    -DestinationPath "$databaseFolder" `
                    -Timeout $SqlTimeout | Out-Null
    Start-Process -FilePath "$roleTailoredClientFolder\finsql.exe" -ArgumentList "Command=upgradedatabase, Database=$databaseName, ServerName=$databaseServerInstance, ntauthentication=1, logFile=c:\run\errorlog.txt" -Wait

so yes, the upgrade is run.
You can also decide to override setupdatabase.ps1 and write your own New-NavDatabase with your shared .bak file.
Remember when overriding to check whether the container is restarting.

You can see the original setupdatabase.ps1 here: https://github.com/microsoft/nav-docker/blob/master/generic/Run/SetupDatabase.ps1
basically, save the PS script (as SetupDatabase.ps1) - modify it - and specify the file as -myscript @("c:\mypath\setupdatabase.ps1")

That doesn't help, your script works well as it is. I tried to use image mcr.microsoft.com/businesscentral/sandbox and now it works as expected. No problem while compiling.
I am not sure if I understand it right. I used image mcr.microsoft.com/businesscentral/onprem because in my case we are using on-prem version of BC. But now for my build solution I have to use sandbox version? I have to read about that all over again…

the only difference between sandbox and onprem containers is the database  and if you are overriding that, there shouldn't be a difference.

I noticed something and I don't have an explanation. When I run script scripts/Create-Container.ps1 (your script for BC build pipeline) from TFS trough Build Pipeline, the content in container folder (C:\ProgramData\NavContainerHelper\Extensions\myApp) is different if I run this script from local PowerShell.
If I run the script from TFS, there is only one folder \my\ in C:\ProgramData\NavContainerHelper\Extensions\myApp\.
If I run the script locally, there are two folder \my\ and \Program Files\
In both cases I run this part of the code:
New-NavContainer @parameters `
                 -containerName $containerName `
                 -imageName $imageversion.containerImage `
                 -auth NAVUserPassword `
                 -Credential $credential `
                 -accept_outdated `
                 -updateHosts `
                 -memoryLimit 6G `
                 -useSSL `
                 -doNotExportObjectsToText `
                 -enableSymbolLoading `
                 -shortcuts $shortcuts `
                 -licenseFile $licenseFile `
                 -additionalParameters $additionalParameters `
                 -myScripts $myscripts

Why folder \Program Files\ is missing?

program files will only be created if you use -includeCSIDE (where you share C/SIDE and Windows Client from the folder to the host)

Ok that could be, yes. Anyway I solved the case, when I choose container image with the same version as we are developing on, it works all well and no issues.
This is my solution: "containerImage": "mcr.microsoft.com/businesscentral/onprem:14.0.29537.0",


Parent Page

Also port this page: https://www.zeiss.de/semiconductor-manufacturing-technology/news-und-events.html and generate article list from index.

Content: https://adobe.sharepoint.com/:w:/r/sites/HelixProjects/_layouts/15/doc2.aspx?sourcedoc={83147B4B-3A11-4B8C-9F90-DBD0C07E3C68}&file=index.docx&action=default&mobileredirect=true

A per scope definition from Zeiss, the parent page would stay in AEM.


Allow customizing the title of the documentation service

The title of the documentation service is hard-coded to Armeria documentation service <version>
https://github.com/line/armeria/blob/e0192ccbaa01f9c6f03849d4879507d93dc17aa8/docs-client/src/containers/App/index.tsx#L608-L611
Some users may want to override the title to easily distinguish a server from a different phase or role.
DocService
  .builder()
  .webAppTitle("Messaging (Alpha)")
  ...
  .build()

The specified web app title could be appended to the default title.
Armeria documentation service 1.30.1 - Messaging (Alpha)

Hi @ikhoon , I would like to contribute to this issue. Can you please assign it to me??

I've assigned https://github.com/line/armeria/issues/5219 to you. Do you want to resolve both of them at once?

Yeah, I can do that. This seems a good first issue as well.