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[RLlib] Update PettingZoo wrapper to current API (1.23.0) #34696

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[RLlib] Update PettingZoo wrapper to current API (1.23.0) #34696

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54b7e09
Update gymnasium/pettingzoo/supersuit versions
elliottower Apr 22, 2023
6b7bf1e
pettingzoo_env: `return_info` from `reset()`
elliottower Apr 22, 2023
ea7afe8
Switch to stable pettignzoo/shimmy releases
elliottower Apr 22, 2023
5c22561
Update pettingzoo_env to work with pettingzoo 1.22.3
elliottower Apr 22, 2023
aa80237
Merge branch 'ray-project:master' into patch-3
elliottower May 14, 2023
cf1bae9
Update to newest PettingZoo, SuperSuit versions
elliottower May 18, 2023
48d0537
Merge branch 'ray-project:master' into patch-3
elliottower May 18, 2023
fe37297
Merge PettingZooEnv from master
elliottower May 18, 2023
20487c7
Update requirements_rllib.txt
elliottower May 18, 2023
f666689
Update requirements_rllib.txt
elliottower May 18, 2023
583107d
Update all uses of gymnasium to 0.28.1
May 18, 2023
e7879cf
Merge branch 'ray-project:master' into patch-3
elliottower May 18, 2023
35b97f1
Merge remote-tracking branch 'upstream/master' into patch-3
elliottower Aug 7, 2023
39f6a8c
Merge master
elliottower Aug 7, 2023
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6 changes: 3 additions & 3 deletions doc/source/data/examples/batch_inference_object_detection.ipynb
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Expand Up @@ -452,10 +452,10 @@
"name": "stderr",
"output_type": "stream",
"text": [
"[2023-05-19 18:10:29] INFO ray._private.worker::Started a local Ray instance. View the dashboard at \u001b[1m\u001b[32m127.0.0.1:8265 \u001b[39m\u001b[22m\n",
"[2023-05-19 18:10:35] [Ray Data] WARNING ray.data.dataset::\u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n",
"[2023-05-19 18:10:29] INFO ray._private.worker::Started a local Ray instance. View the dashboard at \u001B[1m\u001B[32m127.0.0.1:8265 \u001B[39m\u001B[22m\n",
"[2023-05-19 18:10:35] [Ray Data] WARNING ray.data.dataset::\u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n",
"\n",
"Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n"
"Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n"
]
},
{
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2 changes: 1 addition & 1 deletion doc/source/data/examples/batch_training.ipynb
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Expand Up @@ -94,7 +94,7 @@
"text": [
"2022-12-08 17:04:06,689\tINFO worker.py:1223 -- Using address localhost:9031 set in the environment variable RAY_ADDRESS\n",
"2022-12-08 17:04:06,691\tINFO worker.py:1333 -- Connecting to existing Ray cluster at address: 172.31.174.62:9031...\n",
"2022-12-08 17:04:06,700\tINFO worker.py:1509 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://console.anyscale-staging.com/api/v2/sessions/ses_gyl6mbksa8xt7b149ib6abld/services?redirect_to=dashboard \u001b[39m\u001b[22m\n"
"2022-12-08 17:04:06,700\tINFO worker.py:1509 -- Connected to Ray cluster. View the dashboard at \u001B[1m\u001B[32mhttps://console.anyscale-staging.com/api/v2/sessions/ses_gyl6mbksa8xt7b149ib6abld/services?redirect_to=dashboard \u001B[39m\u001B[22m\n"
]
},
{
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6 changes: 3 additions & 3 deletions doc/source/data/examples/huggingface_vit_batch_prediction.ipynb
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Expand Up @@ -72,12 +72,12 @@
"output_type": "stream",
"text": [
"[2023-05-24 11:25:47] INFO ray._private.worker::Connecting to existing Ray cluster at address: 10.0.33.149:6379...\n",
"[2023-05-24 11:25:47] INFO ray._private.worker::Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://console.anyscale-staging.com/api/v2/sessions/ses_6h5a4kl2xhfgtdy4w41he6iwyw/services?redirect_to=dashboard \u001b[39m\u001b[22m\n",
"[2023-05-24 11:25:47] INFO ray._private.worker::Connected to Ray cluster. View the dashboard at \u001B[1m\u001B[32mhttps://console.anyscale-staging.com/api/v2/sessions/ses_6h5a4kl2xhfgtdy4w41he6iwyw/services?redirect_to=dashboard \u001B[39m\u001B[22m\n",
"[2023-05-24 11:25:47] INFO ray._private.runtime_env.packaging::Pushing file package 'gcs://_ray_pkg_2429254893b10da6df2b65ceaf858894.zip' (8.71MiB) to Ray cluster...\n",
"[2023-05-24 11:25:47] INFO ray._private.runtime_env.packaging::Successfully pushed file package 'gcs://_ray_pkg_2429254893b10da6df2b65ceaf858894.zip'.\n",
"[2023-05-24 11:25:50] [Ray Data] WARNING ray.data.dataset::\u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n",
"[2023-05-24 11:25:50] [Ray Data] WARNING ray.data.dataset::\u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n",
"\n",
"Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n"
"Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n"
]
},
{
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6 changes: 3 additions & 3 deletions doc/source/data/examples/pytorch_resnet_batch_prediction.ipynb
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Expand Up @@ -78,12 +78,12 @@
"output_type": "stream",
"text": [
"2023-06-27 23:23:57,184\tINFO worker.py:1452 -- Connecting to existing Ray cluster at address: 10.0.5.141:6379...\n",
"2023-06-27 23:23:57,228\tINFO worker.py:1627 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-kncgqf3p7w2j7qcsnz2safl4tj.i.anyscaleuserdata-staging.com \u001b[39m\u001b[22m\n",
"2023-06-27 23:23:57,228\tINFO worker.py:1627 -- Connected to Ray cluster. View the dashboard at \u001B[1m\u001B[32mhttps://session-kncgqf3p7w2j7qcsnz2safl4tj.i.anyscaleuserdata-staging.com \u001B[39m\u001B[22m\n",
"2023-06-27 23:23:57,243\tINFO packaging.py:347 -- Pushing file package 'gcs://_ray_pkg_32ef287a3a39e82021e70d2413880a69.zip' (4.49MiB) to Ray cluster...\n",
"2023-06-27 23:23:57,257\tINFO packaging.py:360 -- Successfully pushed file package 'gcs://_ray_pkg_32ef287a3a39e82021e70d2413880a69.zip'.\n",
"2023-06-27 23:23:59,629\tWARNING dataset.py:253 -- \u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n",
"2023-06-27 23:23:59,629\tWARNING dataset.py:253 -- \u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n",
"\n",
"Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n"
"Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n"
]
},
{
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86 changes: 43 additions & 43 deletions doc/source/ray-air/examples/feast_example.ipynb
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Expand Up @@ -150,61 +150,61 @@
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[34mfrom\u001b[39;49;00m \u001b[04m\u001b[36mdatetime\u001b[39;49;00m \u001b[34mimport\u001b[39;49;00m timedelta\n",
"\u001B[34mfrom\u001B[39;49;00m \u001B[04m\u001B[36mdatetime\u001B[39;49;00m \u001B[34mimport\u001B[39;49;00m timedelta\n",
"\n",
"\u001b[34mfrom\u001b[39;49;00m \u001b[04m\u001b[36mfeast\u001b[39;49;00m \u001b[34mimport\u001b[39;49;00m (Entity, Field, FeatureView, FileSource, ValueType)\n",
"\u001b[34mfrom\u001b[39;49;00m \u001b[04m\u001b[36mfeast\u001b[39;49;00m\u001b[04m\u001b[36m.\u001b[39;49;00m\u001b[04m\u001b[36mtypes\u001b[39;49;00m \u001b[34mimport\u001b[39;49;00m Float32, Int64, String\n",
"\u001B[34mfrom\u001B[39;49;00m \u001B[04m\u001B[36mfeast\u001B[39;49;00m \u001B[34mimport\u001B[39;49;00m (Entity, Field, FeatureView, FileSource, ValueType)\n",
"\u001B[34mfrom\u001B[39;49;00m \u001B[04m\u001B[36mfeast\u001B[39;49;00m\u001B[04m\u001B[36m.\u001B[39;49;00m\u001B[04m\u001B[36mtypes\u001B[39;49;00m \u001B[34mimport\u001B[39;49;00m Float32, Int64, String\n",
"\n",
"\n",
"zipcode = Entity(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mzipcode\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, value_type=Int64)\n",
"zipcode = Entity(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mzipcode\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, value_type=Int64)\n",
"\n",
"zipcode_source = FileSource(\n",
" path=\u001b[33m\"\u001b[39;49;00m\u001b[33mfeature_repo/data/zipcode_table.parquet\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" timestamp_field=\u001b[33m\"\u001b[39;49;00m\u001b[33mevent_timestamp\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" created_timestamp_column=\u001b[33m\"\u001b[39;49;00m\u001b[33mcreated_timestamp\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" path=\u001B[33m\"\u001B[39;49;00m\u001B[33mfeature_repo/data/zipcode_table.parquet\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" timestamp_field=\u001B[33m\"\u001B[39;49;00m\u001B[33mevent_timestamp\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" created_timestamp_column=\u001B[33m\"\u001B[39;49;00m\u001B[33mcreated_timestamp\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
")\n",
"\n",
"zipcode_features = FeatureView(\n",
" name=\u001b[33m\"\u001b[39;49;00m\u001b[33mzipcode_features\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" entities=[\u001b[33m\"\u001b[39;49;00m\u001b[33mzipcode\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\n",
" ttl=timedelta(days=\u001b[34m3650\u001b[39;49;00m),\n",
" name=\u001B[33m\"\u001B[39;49;00m\u001B[33mzipcode_features\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" entities=[\u001B[33m\"\u001B[39;49;00m\u001B[33mzipcode\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m],\n",
" ttl=timedelta(days=\u001B[34m3650\u001B[39;49;00m),\n",
" schema=[\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mcity\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=String),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mstate\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=String),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mlocation_type\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=String),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mtax_returns_filed\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mpopulation\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mtotal_wages\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mcity\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=String),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mstate\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=String),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mlocation_type\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=String),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mtax_returns_filed\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mpopulation\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mtotal_wages\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" ],\n",
" source=zipcode_source,\n",
")\n",
"\n",
"dob_ssn = Entity(\n",
" name=\u001b[33m\"\u001b[39;49;00m\u001b[33mdob_ssn\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" name=\u001B[33m\"\u001B[39;49;00m\u001B[33mdob_ssn\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" value_type=ValueType.STRING,\n",
" description=\u001b[33m\"\u001b[39;49;00m\u001b[33mDate of birth and last four digits of social security number\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" description=\u001B[33m\"\u001B[39;49;00m\u001B[33mDate of birth and last four digits of social security number\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
")\n",
"\n",
"credit_history_source = FileSource(\n",
" path=\u001b[33m\"\u001b[39;49;00m\u001b[33mfeature_repo/data/credit_history.parquet\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" timestamp_field=\u001b[33m\"\u001b[39;49;00m\u001b[33mevent_timestamp\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" created_timestamp_column=\u001b[33m\"\u001b[39;49;00m\u001b[33mcreated_timestamp\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" path=\u001B[33m\"\u001B[39;49;00m\u001B[33mfeature_repo/data/credit_history.parquet\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" timestamp_field=\u001B[33m\"\u001B[39;49;00m\u001B[33mevent_timestamp\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" created_timestamp_column=\u001B[33m\"\u001B[39;49;00m\u001B[33mcreated_timestamp\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
")\n",
"\n",
"credit_history = FeatureView(\n",
" name=\u001b[33m\"\u001b[39;49;00m\u001b[33mcredit_history\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m,\n",
" entities=[\u001b[33m\"\u001b[39;49;00m\u001b[33mdob_ssn\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\n",
" ttl=timedelta(days=\u001b[34m90\u001b[39;49;00m),\n",
" name=\u001B[33m\"\u001B[39;49;00m\u001B[33mcredit_history\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m,\n",
" entities=[\u001B[33m\"\u001B[39;49;00m\u001B[33mdob_ssn\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m],\n",
" ttl=timedelta(days=\u001B[34m90\u001B[39;49;00m),\n",
" schema=[\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mcredit_card_due\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mmortgage_due\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mstudent_loan_due\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mvehicle_loan_due\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mhard_pulls\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mmissed_payments_2y\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mmissed_payments_1y\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mmissed_payments_6m\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001b[33m\"\u001b[39;49;00m\u001b[33mbankruptcies\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mcredit_card_due\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mmortgage_due\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mstudent_loan_due\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mvehicle_loan_due\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mhard_pulls\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mmissed_payments_2y\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mmissed_payments_1y\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mmissed_payments_6m\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" Field(name=\u001B[33m\"\u001B[39;49;00m\u001B[33mbankruptcies\u001B[39;49;00m\u001B[33m\"\u001B[39;49;00m, dtype=Int64),\n",
" ],\n",
" source=credit_history_source,\n",
")\n"
Expand Down Expand Up @@ -240,13 +240,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Created entity \u001b[1m\u001b[32mzipcode\u001b[0m\n",
"Created entity \u001b[1m\u001b[32mdob_ssn\u001b[0m\n",
"Created feature view \u001b[1m\u001b[32mcredit_history\u001b[0m\n",
"Created feature view \u001b[1m\u001b[32mzipcode_features\u001b[0m\n",
"Created entity \u001B[1m\u001B[32mzipcode\u001B[0m\n",
"Created entity \u001B[1m\u001B[32mdob_ssn\u001B[0m\n",
"Created feature view \u001B[1m\u001B[32mcredit_history\u001B[0m\n",
"Created feature view \u001B[1m\u001B[32mzipcode_features\u001B[0m\n",
"\n",
"Created sqlite table \u001b[1m\u001b[32mfeature_repo_credit_history\u001b[0m\n",
"Created sqlite table \u001b[1m\u001b[32mfeature_repo_zipcode_features\u001b[0m\n",
"Created sqlite table \u001B[1m\u001B[32mfeature_repo_credit_history\u001B[0m\n",
"Created sqlite table \u001B[1m\u001B[32mfeature_repo_zipcode_features\u001B[0m\n",
"\n"
]
}
Expand Down Expand Up @@ -1049,7 +1049,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2022-09-12 19:25:14,018\tINFO worker.py:1508 -- Started a local Ray instance. View the dashboard at \u001b[1m\u001b[32m127.0.0.1:8265 \u001b[39m\u001b[22m\n"
"2022-09-12 19:25:14,018\tINFO worker.py:1508 -- Started a local Ray instance. View the dashboard at \u001B[1m\u001B[32m127.0.0.1:8265 \u001B[39m\u001B[22m\n"
]
}
],
Expand Down Expand Up @@ -1196,9 +1196,9 @@
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[2m\u001b[36m(XGBoostTrainer pid=348845)\u001b[0m /home/ray/.pyenv/versions/mambaforge/envs/ray/lib/python3.9/site-packages/xgboost_ray/main.py:431: UserWarning: `num_actors` in `ray_params` is smaller than 2 (1). XGBoost will NOT be distributed!\n",
"\u001b[2m\u001b[36m(XGBoostTrainer pid=348845)\u001b[0m warnings.warn(\n",
"\u001b[2m\u001b[36m(_RemoteRayXGBoostActor pid=348922)\u001b[0m [19:25:23] task [xgboost.ray]:140319682474864 got new rank 0\n"
"\u001B[2m\u001B[36m(XGBoostTrainer pid=348845)\u001B[0m /home/ray/.pyenv/versions/mambaforge/envs/ray/lib/python3.9/site-packages/xgboost_ray/main.py:431: UserWarning: `num_actors` in `ray_params` is smaller than 2 (1). XGBoost will NOT be distributed!\n",
"\u001B[2m\u001B[36m(XGBoostTrainer pid=348845)\u001B[0m warnings.warn(\n",
"\u001B[2m\u001B[36m(_RemoteRayXGBoostActor pid=348922)\u001B[0m [19:25:23] task [xgboost.ray]:140319682474864 got new rank 0\n"
]
},
{
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2 changes: 1 addition & 1 deletion doc/source/ray-air/examples/huggingface_text_classification.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -83,7 +83,7 @@
"text": [
"2022-08-25 10:09:51,282\tINFO worker.py:1223 -- Using address localhost:9031 set in the environment variable RAY_ADDRESS\n",
"2022-08-25 10:09:51,697\tINFO worker.py:1333 -- Connecting to existing Ray cluster at address: 172.31.80.117:9031...\n",
"2022-08-25 10:09:51,706\tINFO worker.py:1509 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-i8ddtfaxhwypbvnyb9uzg7xs.i.anyscaleuserdata-staging.com/auth/?token=agh0_CkcwRQIhAJXwvxwq31GryaWthvXGCXZebsijbuqi7qL2pCa5uROOAiBGjzsyXAJFHLlaEI9zSlNI8ewtghKg5UV3t8NmlxuMcRJmEiCtvjcKE0VPiU7iQx51P9oPQjfpo5g1RJXccVSS5005cBgCIgNuL2E6DAj9xazjBhDwj4veAUIMCP3ClJgGEPCPi94B-gEeChxzZXNfaThERFRmQVhId1lwYlZueWI5dVpnN3hT&redirect_to=dashboard \u001b[39m\u001b[22m\n",
"2022-08-25 10:09:51,706\tINFO worker.py:1509 -- Connected to Ray cluster. View the dashboard at \u001B[1m\u001B[32mhttps://session-i8ddtfaxhwypbvnyb9uzg7xs.i.anyscaleuserdata-staging.com/auth/?token=agh0_CkcwRQIhAJXwvxwq31GryaWthvXGCXZebsijbuqi7qL2pCa5uROOAiBGjzsyXAJFHLlaEI9zSlNI8ewtghKg5UV3t8NmlxuMcRJmEiCtvjcKE0VPiU7iQx51P9oPQjfpo5g1RJXccVSS5005cBgCIgNuL2E6DAj9xazjBhDwj4veAUIMCP3ClJgGEPCPi94B-gEeChxzZXNfaThERFRmQVhId1lwYlZueWI5dVpnN3hT&redirect_to=dashboard \u001B[39m\u001B[22m\n",
"2022-08-25 10:09:51,709\tINFO packaging.py:342 -- Pushing file package 'gcs://_ray_pkg_3332f64b0a461fddc20be71129115d0a.zip' (0.34MiB) to Ray cluster...\n",
"2022-08-25 10:09:51,714\tINFO packaging.py:351 -- Successfully pushed file package 'gcs://_ray_pkg_3332f64b0a461fddc20be71129115d0a.zip'.\n"
]
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