{ "cells": [ { "cell_type": "markdown", "id": "header", "metadata": { "papermill": { "duration": 0.002078, "end_time": "2026-01-18T07:09:37.528058", "exception": false, "start_time": "2026-01-18T07:09:37.525980", "status": "completed" }, "tags": [] }, "source": [ "# PaddleOCR Hyperparameter Optimization via REST API\n", "\n", "This notebook runs Ray Tune hyperparameter search calling the PaddleOCR REST API (Docker container).\n", "\n", "**Benefits:**\n", "- No model reload per trial - Model stays loaded in Docker container\n", "- Faster trials - Skip ~10s model load time per trial\n", "- Cleaner code - REST API replaces subprocess + CLI arg parsing" ] }, { "cell_type": "markdown", "id": "prereq", "metadata": { "papermill": { "duration": 0.000885, "end_time": "2026-01-18T07:09:37.531707", "exception": false, "start_time": "2026-01-18T07:09:37.530822", "status": "completed" }, "tags": [] }, "source": [ "## Prerequisites\n", "\n", "Start 2 PaddleOCR workers for parallel hyperparameter tuning:\n", "\n", "```bash\n", "cd src/paddle_ocr\n", "docker compose -f docker-compose.workers.yml up\n", "```\n", "\n", "This starts 2 GPU workers on ports 8001-8002, allowing 2 concurrent trials.\n", "\n", "For CPU-only systems:\n", "```bash\n", "docker compose -f docker-compose.workers.yml --profile cpu up\n", "```" ] }, { "cell_type": "markdown", "id": "3ob9fsoilc4", "metadata": { "papermill": { "duration": 0.000857, "end_time": "2026-01-18T07:09:37.533450", "exception": false, "start_time": "2026-01-18T07:09:37.532593", "status": "completed" }, "tags": [] }, "source": [ "## 0. Dependencies" ] }, { "cell_type": "code", "execution_count": 1, "id": "wyr2nsoj7", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:37.536224Z", "iopub.status.busy": "2026-01-18T07:09:37.536085Z", "iopub.status.idle": "2026-01-18T07:09:38.812692Z", "shell.execute_reply": "2026-01-18T07:09:38.811660Z" }, "papermill": { "duration": 1.278901, "end_time": "2026-01-18T07:09:38.813189", "exception": false, "start_time": "2026-01-18T07:09:37.534288", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: ray[tune] in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (2.53.0)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: click>=7.0 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from ray[tune]) (8.3.1)\r\n", "Requirement already satisfied: filelock in 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/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from requests->ray[tune]) (2026.1.4)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Note: you may need to restart the kernel to use updated packages.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: optuna in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (4.6.0)\r\n", "Requirement already satisfied: alembic>=1.5.0 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from optuna) (1.18.1)\r\n", "Requirement already satisfied: colorlog in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from optuna) (6.10.1)\r\n", "Requirement already satisfied: numpy in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from optuna) (2.4.1)\r\n", "Requirement already satisfied: packaging>=20.0 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from optuna) (25.0)\r\n", "Requirement already satisfied: 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(3.0.3)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Note: you may need to restart the kernel to use updated packages.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: requests in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (2.32.5)\r\n", "Requirement already satisfied: pandas in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (2.3.3)\r\n", "Requirement already satisfied: charset_normalizer<4,>=2 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from requests) (3.4.4)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from requests) (3.11)\r\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from requests) (2.6.3)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from requests) (2026.1.4)\r\n", "Requirement already satisfied: numpy>=1.26.0 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from pandas) (2.4.1)\r\n", "Requirement already satisfied: python-dateutil>=2.8.2 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\r\n", "Requirement already satisfied: pytz>=2020.1 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n", "Requirement already satisfied: tzdata>=2022.7 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from pandas) (2025.3)\r\n", "Requirement already satisfied: six>=1.5 in /home/sergio/MastersThesis/.venv/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "# Install dependencies (run once)\n", "%pip install -U \"ray[tune]\"\n", "%pip install optuna\n", "%pip install requests pandas" ] }, { "cell_type": "markdown", "id": "imports-header", "metadata": { "papermill": { "duration": 0.009527, "end_time": "2026-01-18T07:09:38.824238", "exception": false, "start_time": "2026-01-18T07:09:38.814711", "status": "completed" }, "tags": [] }, "source": [ "## 1. Imports & Setup" ] }, { "cell_type": "code", "execution_count": 2, "id": "imports", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:38.827592Z", "iopub.status.busy": "2026-01-18T07:09:38.827455Z", "iopub.status.idle": "2026-01-18T07:09:39.774594Z", "shell.execute_reply": "2026-01-18T07:09:39.774114Z" }, "papermill": { "duration": 0.949919, "end_time": "2026-01-18T07:09:39.775317", "exception": false, "start_time": "2026-01-18T07:09:38.825398", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "import os\n", "from datetime import datetime\n", "\n", "import requests\n", "import pandas as pd\n", "\n", "import ray\n", "from ray import tune, air\n", "from ray.tune.search.optuna import OptunaSearch" ] }, { "cell_type": "markdown", "id": "config-header", "metadata": { "papermill": { "duration": 0.009564, "end_time": "2026-01-18T07:09:39.786378", "exception": false, "start_time": "2026-01-18T07:09:39.776814", "status": "completed" }, "tags": [] }, "source": [ "## 2. API Configuration" ] }, { "cell_type": "code", "execution_count": 3, "id": "config", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:39.789662Z", "iopub.status.busy": "2026-01-18T07:09:39.789533Z", "iopub.status.idle": "2026-01-18T07:09:39.791831Z", "shell.execute_reply": "2026-01-18T07:09:39.791432Z" }, "papermill": { "duration": 0.004949, "end_time": "2026-01-18T07:09:39.792449", "exception": false, "start_time": "2026-01-18T07:09:39.787500", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# PaddleOCR REST API endpoints - 2 workers for parallel trials\n", "# Start workers with: cd src/paddle_ocr && docker compose -f docker-compose.workers.yml up\n", "WORKER_PORTS = [8001, 8002]\n", "WORKER_URLS = [f\"http://localhost:{port}\" for port in WORKER_PORTS]\n", "\n", "# Output folder for results\n", "OUTPUT_FOLDER = \"results\"\n", "os.makedirs(OUTPUT_FOLDER, exist_ok=True)\n", "\n", "# Number of concurrent trials = number of workers\n", "NUM_WORKERS = len(WORKER_URLS)" ] }, { "cell_type": "code", "execution_count": 4, "id": "health-check", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:39.795399Z", "iopub.status.busy": "2026-01-18T07:09:39.795279Z", "iopub.status.idle": "2026-01-18T07:09:39.803656Z", "shell.execute_reply": "2026-01-18T07:09:39.803234Z" }, "papermill": { "duration": 0.010311, "end_time": "2026-01-18T07:09:39.803886", "exception": false, "start_time": "2026-01-18T07:09:39.793575", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "✓ http://localhost:8001: ok (GPU: None)\n", "✓ http://localhost:8002: ok (GPU: None)\n", "\n", "2/2 workers ready for parallel tuning\n" ] } ], "source": [ "# Verify all workers are running\n", "healthy_workers = []\n", "for url in WORKER_URLS:\n", " try:\n", " health = requests.get(f\"{url}/health\", timeout=10).json()\n", " if health['status'] == 'ok' and health['model_loaded']:\n", " healthy_workers.append(url)\n", " print(f\"✓ {url}: {health['status']} (GPU: {health.get('gpu_name', 'N/A')})\")\n", " else:\n", " print(f\"✗ {url}: not ready yet\")\n", " except requests.exceptions.ConnectionError:\n", " print(f\"✗ {url}: not reachable\")\n", "\n", "if not healthy_workers:\n", " raise RuntimeError(\n", " \"No healthy workers found. Start them with:\\n\"\n", " \" cd src/paddle_ocr && docker compose -f docker-compose.workers.yml up\"\n", " )\n", "\n", "print(f\"\\n{len(healthy_workers)}/{len(WORKER_URLS)} workers ready for parallel tuning\")" ] }, { "cell_type": "markdown", "id": "search-space-header", "metadata": { "papermill": { "duration": 0.001081, "end_time": "2026-01-18T07:09:39.806136", "exception": false, "start_time": "2026-01-18T07:09:39.805055", "status": "completed" }, "tags": [] }, "source": [ "## 3. Search Space" ] }, { "cell_type": "code", "execution_count": 5, "id": "search-space", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:39.808859Z", "iopub.status.busy": "2026-01-18T07:09:39.808794Z", "iopub.status.idle": "2026-01-18T07:09:39.810819Z", "shell.execute_reply": "2026-01-18T07:09:39.810510Z" }, "papermill": { "duration": 0.003948, "end_time": "2026-01-18T07:09:39.811160", "exception": false, "start_time": "2026-01-18T07:09:39.807212", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "search_space = {\n", " # Whether to use document image orientation classification\n", " \"use_doc_orientation_classify\": tune.choice([True, False]),\n", " # Whether to use text image unwarping\n", " \"use_doc_unwarping\": tune.choice([True, False]),\n", " # Whether to use text line orientation classification\n", " \"textline_orientation\": tune.choice([True, False]),\n", " # Detection pixel threshold (pixels > threshold are considered text)\n", " \"text_det_thresh\": tune.uniform(0.0, 0.7),\n", " # Detection box threshold (average score within border)\n", " \"text_det_box_thresh\": tune.uniform(0.0, 0.7),\n", " # Text detection expansion coefficient\n", " \"text_det_unclip_ratio\": tune.choice([0.0]),\n", " # Text recognition threshold (filter low confidence results)\n", " \"text_rec_score_thresh\": tune.uniform(0.0, 0.7),\n", "}" ] }, { "cell_type": "markdown", "id": "trainable-header", "metadata": { "papermill": { "duration": 0.001066, "end_time": "2026-01-18T07:09:39.813352", "exception": false, "start_time": "2026-01-18T07:09:39.812286", "status": "completed" }, "tags": [] }, "source": [ "## 4. Trainable Function" ] }, { "cell_type": "code", "execution_count": 6, "id": "trainable", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:39.815935Z", "iopub.status.busy": "2026-01-18T07:09:39.815875Z", "iopub.status.idle": "2026-01-18T07:09:39.819033Z", "shell.execute_reply": "2026-01-18T07:09:39.818672Z" }, "papermill": { "duration": 0.00507, "end_time": "2026-01-18T07:09:39.819491", "exception": false, "start_time": "2026-01-18T07:09:39.814421", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "def trainable_paddle_ocr(config):\n", " \"\"\"Call PaddleOCR REST API with the given hyperparameter config.\n", " \n", " Uses trial index to deterministically assign a worker (round-robin),\n", " ensuring only 1 request per container at a time.\n", " \"\"\"\n", " import requests # Must be inside function for Ray workers\n", " from ray import train\n", "\n", " # Worker URLs - round-robin assignment based on trial index\n", " WORKER_PORTS = [8001, 8002]\n", " NUM_WORKERS = len(WORKER_PORTS)\n", " \n", " # Get trial context for deterministic worker assignment\n", " context = train.get_context()\n", " trial_id = context.get_trial_id() if context else \"0\"\n", " # Extract numeric part from trial ID (e.g., \"trainable_paddle_ocr_abc123_00001\" -> 1)\n", " try:\n", " trial_num = int(trial_id.split(\"_\")[-1])\n", " except (ValueError, IndexError):\n", " trial_num = hash(trial_id)\n", " \n", " worker_idx = trial_num % NUM_WORKERS\n", " api_url = f\"http://localhost:{WORKER_PORTS[worker_idx]}\"\n", "\n", " payload = {\n", " \"pdf_folder\": \"/app/dataset\",\n", " \"use_doc_orientation_classify\": config.get(\"use_doc_orientation_classify\", False),\n", " \"use_doc_unwarping\": config.get(\"use_doc_unwarping\", False),\n", " \"textline_orientation\": config.get(\"textline_orientation\", True),\n", " \"text_det_thresh\": config.get(\"text_det_thresh\", 0.0),\n", " \"text_det_box_thresh\": config.get(\"text_det_box_thresh\", 0.0),\n", " \"text_det_unclip_ratio\": config.get(\"text_det_unclip_ratio\", 1.5),\n", " \"text_rec_score_thresh\": config.get(\"text_rec_score_thresh\", 0.0),\n", " \"start_page\": 5,\n", " \"end_page\": 10,\n", " }\n", "\n", " try:\n", " response = requests.post(f\"{api_url}/evaluate\", json=payload, timeout=600)\n", " response.raise_for_status()\n", " metrics = response.json()\n", " metrics[\"worker\"] = api_url\n", " train.report(metrics)\n", " except Exception as e:\n", " train.report({\n", " \"CER\": 1.0,\n", " \"WER\": 1.0,\n", " \"TIME\": 0.0,\n", " \"PAGES\": 0,\n", " \"TIME_PER_PAGE\": 0,\n", " \"worker\": api_url,\n", " \"ERROR\": str(e)[:500]\n", " })" ] }, { "cell_type": "markdown", "id": "tuner-header", "metadata": { "papermill": { "duration": 0.001049, "end_time": "2026-01-18T07:09:39.821656", "exception": false, "start_time": "2026-01-18T07:09:39.820607", "status": "completed" }, "tags": [] }, "source": [ "## 5. Run Tuner" ] }, { "cell_type": "code", "execution_count": 7, "id": "ray-init", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:39.824409Z", "iopub.status.busy": "2026-01-18T07:09:39.824357Z", "iopub.status.idle": "2026-01-18T07:09:42.432539Z", "shell.execute_reply": "2026-01-18T07:09:42.431817Z" }, "papermill": { "duration": 2.610279, "end_time": "2026-01-18T07:09:42.433000", "exception": false, "start_time": "2026-01-18T07:09:39.822721", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:41,083\tINFO worker.py:2007 -- Started a local Ray instance.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Ray Tune ready (version: 2.53.0)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py:2046: FutureWarning: Tip: In future versions of Ray, Ray will no longer override accelerator visible devices env var if num_gpus=0 or num_gpus=None (default). To enable this behavior and turn off this error message, set RAY_ACCEL_ENV_VAR_OVERRIDE_ON_ZERO=0\n", " warnings.warn(\n" ] } ], "source": [ "ray.init(ignore_reinit_error=True)\n", "print(f\"Ray Tune ready (version: {ray.__version__})\")" ] }, { "cell_type": "code", "execution_count": 8, "id": "tuner", "metadata": { "execution": { "iopub.execute_input": "2026-01-18T07:09:42.446046Z", "iopub.status.busy": "2026-01-18T07:09:42.445323Z" }, "papermill": { "duration": null, "end_time": null, "exception": false, "start_time": "2026-01-18T07:09:42.434682", "status": "running" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/impl/tuner_internal.py:144: RayDeprecationWarning: The `RunConfig` class should be imported from `ray.tune` when passing it to the Tuner. Please update your imports. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0\n", " _log_deprecation_warning(\n", "2026-01-18 08:09:42,457\tINFO tune.py:616 -- [output] This uses the legacy output and progress reporter, as Jupyter notebooks are not supported by the new engine, yet. For more information, please see https://github.com/ray-project/ray/issues/36949\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[I 2026-01-18 08:09:42,461] A new study created in memory with name: optuna\n" ] }, { "data": { "text/html": [ "
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Tune Status

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Current time:2026-01-18 08:10:43
Running for: 00:01:00.59
Memory: 11.1/119.7 GiB
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System Info

\n", " Using FIFO scheduling algorithm.
Logical resource usage: 1.0/20 CPUs, 0/1 GPUs (0.0/1.0 accelerator_type:GB10)\n", "
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Messages

\n", " \n", " ... 17 more trials not shown (17 ERROR)\n", " Number of errored trials: 36
Table truncated to 20 rows (16 overflow)
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Trial name # failureserror file
trainable_paddle_ocr_1dfb6efc 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_1dfb6efc_1_text_det_box_thresh=0.3434,text_det_thresh=0.5450,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-42/error.txt
trainable_paddle_ocr_7207923f 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_7207923f_2_text_det_box_thresh=0.5582,text_det_thresh=0.5795,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-44/error.txt
trainable_paddle_ocr_9d186472 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_9d186472_3_text_det_box_thresh=0.6292,text_det_thresh=0.5747,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-45/error.txt
trainable_paddle_ocr_cf1ca69b 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_cf1ca69b_4_text_det_box_thresh=0.5197,text_det_thresh=0.5634,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-47/error.txt
trainable_paddle_ocr_8705afb0 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_8705afb0_5_text_det_box_thresh=0.2333,text_det_thresh=0.4399,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-49/error.txt
trainable_paddle_ocr_6a87c44e 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_6a87c44e_6_text_det_box_thresh=0.6925,text_det_thresh=0.1092,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-50/error.txt
trainable_paddle_ocr_b234b9c4 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_b234b9c4_7_text_det_box_thresh=0.0388,text_det_thresh=0.1447,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-52/error.txt
trainable_paddle_ocr_0c097d1b 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_0c097d1b_8_text_det_box_thresh=0.3627,text_det_thresh=0.5081,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-54/error.txt
trainable_paddle_ocr_65aef77d 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_65aef77d_9_text_det_box_thresh=0.5284,text_det_thresh=0.0341,text_det_unclip_ratio=0.0000,text_rec_score_thre_2026-01-18_08-09-55/error.txt
trainable_paddle_ocr_1bdb346f 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_1bdb346f_10_text_det_box_thresh=0.2700,text_det_thresh=0.0133,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-09-57/error.txt
trainable_paddle_ocr_9eb43564 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_9eb43564_11_text_det_box_thresh=0.0667,text_det_thresh=0.6018,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-09-59/error.txt
trainable_paddle_ocr_69102b85 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_69102b85_12_text_det_box_thresh=0.0186,text_det_thresh=0.1448,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-00/error.txt
trainable_paddle_ocr_2393de4f 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_2393de4f_13_text_det_box_thresh=0.2169,text_det_thresh=0.1937,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-02/error.txt
trainable_paddle_ocr_e3fa0b1b 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_e3fa0b1b_14_text_det_box_thresh=0.2970,text_det_thresh=0.0638,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-04/error.txt
trainable_paddle_ocr_1cf2c62c 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_1cf2c62c_15_text_det_box_thresh=0.2257,text_det_thresh=0.3085,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-05/error.txt
trainable_paddle_ocr_9e723005 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_9e723005_16_text_det_box_thresh=0.5469,text_det_thresh=0.3089,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-07/error.txt
trainable_paddle_ocr_9751b8b7 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_9751b8b7_17_text_det_box_thresh=0.6950,text_det_thresh=0.5605,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-09/error.txt
trainable_paddle_ocr_20eeca6a 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_20eeca6a_18_text_det_box_thresh=0.2342,text_det_thresh=0.4196,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-10/error.txt
trainable_paddle_ocr_336cd7e0 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_336cd7e0_19_text_det_box_thresh=0.4674,text_det_thresh=0.2587,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-12/error.txt
trainable_paddle_ocr_3f7fde37 1/tmp/ray/session_2026-01-18_08-09-39_842185_1162060/artifacts/2026-01-18_08-09-42/trainable_paddle_ocr_2026-01-18_08-09-42/driver_artifacts/trainable_paddle_ocr_3f7fde37_20_text_det_box_thresh=0.4702,text_det_thresh=0.5269,text_det_unclip_ratio=0.0000,text_rec_score_thr_2026-01-18_08-10-14/error.txt
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Trial Status

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Trial name status loc text_det_box_thresh text_det_thresh text_det_unclip_rati\n", "o text_rec_score_thres\n", "htextline_orientation use_doc_orientation_\n", "classify use_doc_unwarping
trainable_paddle_ocr_43946461PENDING 0.629564 0.682338 00.110796 True FalseTrue
trainable_paddle_ocr_0c097d1bERROR 192.168.65.140:1164070 0.362666 0.508107 00.189003 True FalseTrue
trainable_paddle_ocr_1826c000ERROR 192.168.65.140:1165715 0.57287 0.203366 00.125037 False True False
trainable_paddle_ocr_18c164caERROR 192.168.65.140:1166093 0.63944 0.381276 00.56397 False FalseFalse
trainable_paddle_ocr_1bdb346fERROR 192.168.65.140:1164216 0.269986 0.013320900.4966 True FalseFalse
trainable_paddle_ocr_1cf2c62cERROR 192.168.65.140:1164584 0.225659 0.308462 00.181031 False FalseFalse
trainable_paddle_ocr_1dfb6efcERROR 192.168.65.140:1163551 0.3434 0.545037 00.263803 True True True
trainable_paddle_ocr_20eeca6aERROR 192.168.65.140:1164817 0.234161 0.419637 00.270497 True True False
trainable_paddle_ocr_2393de4fERROR 192.168.65.140:1164465 0.216897 0.193734 00.170636 True FalseFalse
trainable_paddle_ocr_332b7991ERROR 192.168.65.140:1165567 0.241403 0.038812700.414523 False FalseFalse
trainable_paddle_ocr_336cd7e0ERROR 192.168.65.140:1164898 0.467436 0.258686 00.138666 True True False
trainable_paddle_ocr_39036a64ERROR 192.168.65.140:1165427 0.570841 0.479926 00.272159 False FalseFalse
trainable_paddle_ocr_395f1e8bERROR 192.168.65.140:1165855 0.363105 0.039043800.34921 True True False
trainable_paddle_ocr_3f7fde37ERROR 192.168.65.140:1164963 0.470214 0.526887 00.0699669False FalseTrue
trainable_paddle_ocr_65aef77dERROR 192.168.65.140:1164138 0.528446 0.034088800.0928365False FalseTrue
trainable_paddle_ocr_69102b85ERROR 192.168.65.140:1164361 0.0186252 0.144809 00.0397942True True True
trainable_paddle_ocr_69575fc2ERROR 192.168.65.140:1165304 0.495832 0.237163 00.653164 False True True
trainable_paddle_ocr_6a87c44eERROR 192.168.65.140:1163924 0.692497 0.1092 00.55452 True True True
trainable_paddle_ocr_7207923fERROR 192.168.65.140:1163640 0.558151 0.579507 00.301832 False FalseTrue
trainable_paddle_ocr_77b79aebERROR 192.168.65.140:1165797 0.373257 0.694542 00.0908941False True False
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Trial Progress

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Trial name
trainable_paddle_ocr_0c097d1b
trainable_paddle_ocr_1826c000
trainable_paddle_ocr_18c164ca
trainable_paddle_ocr_1bdb346f
trainable_paddle_ocr_1cf2c62c
trainable_paddle_ocr_1dfb6efc
trainable_paddle_ocr_20eeca6a
trainable_paddle_ocr_2393de4f
trainable_paddle_ocr_332b7991
trainable_paddle_ocr_336cd7e0
trainable_paddle_ocr_39036a64
trainable_paddle_ocr_395f1e8b
trainable_paddle_ocr_3f7fde37
trainable_paddle_ocr_65aef77d
trainable_paddle_ocr_69102b85
trainable_paddle_ocr_69575fc2
trainable_paddle_ocr_6a87c44e
trainable_paddle_ocr_7207923f
trainable_paddle_ocr_77b79aeb
trainable_paddle_ocr_7caf7679
trainable_paddle_ocr_826a3bfd
trainable_paddle_ocr_83ae14a3
trainable_paddle_ocr_8705afb0
trainable_paddle_ocr_9751b8b7
trainable_paddle_ocr_9d186472
trainable_paddle_ocr_9e723005
trainable_paddle_ocr_9eb43564
trainable_paddle_ocr_a369d771
trainable_paddle_ocr_a74cc67d
trainable_paddle_ocr_ace50f2b
trainable_paddle_ocr_b234b9c4
trainable_paddle_ocr_b9a9db46
trainable_paddle_ocr_bd3b2d27
trainable_paddle_ocr_cf1ca69b
trainable_paddle_ocr_e3fa0b1b
trainable_paddle_ocr_f4cf9600
\n", "
\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:45,939\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_7207923f\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1163640, ip=192.168.65.140, actor_id=111e7b2e86b54e45900ebbf401000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:47,616\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_9d186472\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1163704, ip=192.168.65.140, actor_id=de9e40c2993f255a035dc29801000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:49,285\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_cf1ca69b\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1163806, ip=192.168.65.140, actor_id=7aa6aff7d79803e2f6a0ea8801000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:50,940\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_8705afb0\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1163865, ip=192.168.65.140, actor_id=8d83a5d435aa059c2d8a593001000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:52,601\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_6a87c44e\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1163924, ip=192.168.65.140, actor_id=9b88e959bc0aa616a7f01c1a01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:54,239\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_b234b9c4\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164002, ip=192.168.65.140, actor_id=684fd5c585af1b5fccf74f6301000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:55,885\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_0c097d1b\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164070, ip=192.168.65.140, actor_id=d146676e152867f73062234d01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:57,552\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_65aef77d\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164138, ip=192.168.65.140, actor_id=7ae43cf36b1f62812187a8c701000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:09:59,220\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_1bdb346f\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164216, ip=192.168.65.140, actor_id=229efb5639262d4e4c6553fb01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:00,884\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_9eb43564\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164304, ip=192.168.65.140, actor_id=afba9408b304d3fb53fa0be901000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:02,576\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_69102b85\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164361, ip=192.168.65.140, actor_id=839891072c4e9b45332f821f01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:04,238\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_2393de4f\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164465, ip=192.168.65.140, actor_id=a1fdaeb2cb395b787b9e94bb01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:05,907\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_e3fa0b1b\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164525, ip=192.168.65.140, actor_id=7dcea88a70a5d6d062105d1c01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:07,583\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_1cf2c62c\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164584, ip=192.168.65.140, actor_id=e677471edcdc3fa119c2825401000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:09,250\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_9e723005\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164664, ip=192.168.65.140, actor_id=f2e25366365217e9dc91f57201000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[36m(pid=gcs_server)\u001b[0m [2026-01-18 08:10:09,972 E 1162212 1162212] (gcs_server) gcs_server.cc:303: Failed to establish connection to the event+metrics exporter agent. Events and metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:10,918\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_9751b8b7\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164723, ip=192.168.65.140, actor_id=d2491bdf054d8db1e98798f701000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[33m(raylet)\u001b[0m [2026-01-18 08:10:11,011 E 1162379 1162379] (raylet) main.cc:1032: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[36m(bundle_reservation_check_func pid=1162459)\u001b[0m [2026-01-18 08:10:11,819 E 1162459 1162599] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[2026-01-18 08:10:12,432 E 1162060 1162448] core_worker_process.cc:842: Failed to establish connection to the metrics exporter agent. Metrics will not be exported. Exporter agent status: RpcError: Running out of retries to initialize the metrics agent. rpc_code: 14\n", "2026-01-18 08:10:12,581\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_20eeca6a\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164817, ip=192.168.65.140, actor_id=4bcb09cff39a0059fff3b84f01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:14,246\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_336cd7e0\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164898, ip=192.168.65.140, actor_id=3a19705a167b69a89bb77fad01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:15,922\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_3f7fde37\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1164963, ip=192.168.65.140, actor_id=fe86fb13d5683fe32e12d62301000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:17,609\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_a74cc67d\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165021, ip=192.168.65.140, actor_id=9f3d47f5faeb28a9b06cdb7801000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:19,251\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_bd3b2d27\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165105, ip=192.168.65.140, actor_id=578a91cf6da9a32d9266a07601000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:20,907\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_ace50f2b\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165165, ip=192.168.65.140, actor_id=57b527fb486c439e0da549a201000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:22,567\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_f4cf9600\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165224, ip=192.168.65.140, actor_id=4b4d142f4b73290da4296a5901000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:24,216\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_69575fc2\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165304, ip=192.168.65.140, actor_id=c7cec2a8e27b97dd3a21c7dd01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:25,885\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_83ae14a3\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165368, ip=192.168.65.140, actor_id=0b1a528e4b4d67fc12c398e901000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:27,550\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_39036a64\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165427, ip=192.168.65.140, actor_id=346b0c0514cf182156c9351001000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:29,194\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_7caf7679\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165507, ip=192.168.65.140, actor_id=ae46187a690c35ca9c9d808201000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:30,870\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_332b7991\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165567, ip=192.168.65.140, actor_id=c7e6e565cd25486d8ee1ce8901000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:32,514\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_b9a9db46\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165624, ip=192.168.65.140, actor_id=cf4810f5df446624f67c8e9f01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:34,190\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_1826c000\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165715, ip=192.168.65.140, actor_id=4a18dbfb5d9f6f3b24b8e44001000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:35,864\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_77b79aeb\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165797, ip=192.168.65.140, actor_id=e069e7254b4bdec785604bc901000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:37,558\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_395f1e8b\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165855, ip=192.168.65.140, actor_id=126e55037174bf919a34778401000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:39,230\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_a369d771\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165918, ip=192.168.65.140, actor_id=20667fba64228d7cf4ae365d01000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:40,868\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_826a3bfd\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1165977, ip=192.168.65.140, actor_id=8815169d89c0f8b8560cbbc801000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2026-01-18 08:10:42,550\tERROR tune_controller.py:1331 -- Trial task failed for trial trainable_paddle_ocr_18c164ca\n", "Traceback (most recent call last):\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/execution/_internal/event_manager.py\", line 110, in resolve_future\n", " result = ray.get(future)\n", " ^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/auto_init_hook.py\", line 22, in auto_init_wrapper\n", " return fn(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/client_mode_hook.py\", line 104, in wrapper\n", " return func(*args, **kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 2967, in get\n", " values, debugger_breakpoint = worker.get_objects(\n", " ^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/_private/worker.py\", line 1015, in get_objects\n", " raise value.as_instanceof_cause()\n", "ray.exceptions.RayTaskError(DeprecationWarning): \u001b[36mray::ImplicitFunc.train()\u001b[39m (pid=1166093, ip=192.168.65.140, actor_id=03943e8081fc8cd326f6372201000000, repr=trainable_paddle_ocr)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/trainable.py\", line 331, in train\n", " raise skipped from exception_cause(skipped)\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/air/_internal/util.py\", line 98, in run\n", " self._ret = self._target(*self._args, **self._kwargs)\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 44, in \n", " training_func=lambda: self._trainable_func(self.config),\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/tune/trainable/function_trainable.py\", line 249, in _trainable_func\n", " output = fn()\n", " ^^^^\n", " File \"/tmp/ipykernel_1162060/2443294666.py\", line 15, in trainable_paddle_ocr\n", " File \"/home/sergio/MastersThesis/.venv/lib/python3.12/site-packages/ray/train/v2/_internal/util.py\", line 273, in _wrapped_fn\n", " raise DeprecationWarning(\n", "DeprecationWarning: `ray.train.get_context` is deprecated when running in a function passed to Ray Tune. Please use the equivalent `ray.tune` API instead. See this issue for more context: https://github.com/ray-project/ray/issues/49454\n" ] } ], "source": [ "tuner = tune.Tuner(\n", " trainable_paddle_ocr,\n", " tune_config=tune.TuneConfig(\n", " metric=\"CER\",\n", " mode=\"min\",\n", " search_alg=OptunaSearch(),\n", " num_samples=64,\n", " max_concurrent_trials=NUM_WORKERS, # Run trials in parallel across workers\n", " ),\n", " run_config=air.RunConfig(verbose=2, log_to_file=False),\n", " param_space=search_space,\n", ")\n", "\n", "results = tuner.fit()" ] }, { "cell_type": "markdown", "id": "analysis-header", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "source": [ "## 6. Results Analysis" ] }, { "cell_type": "code", "execution_count": null, "id": "results-df", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "outputs": [], "source": [ "df = results.get_dataframe()\n", "df.describe()" ] }, { "cell_type": "code", "execution_count": null, "id": "save-results", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "outputs": [], "source": [ "# Save results to CSV\n", "timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n", "filename = f\"raytune_paddle_rest_results_{timestamp}.csv\"\n", "filepath = os.path.join(OUTPUT_FOLDER, filename)\n", "\n", "df.to_csv(filepath, index=False)\n", "print(f\"Results saved: {filepath}\")" ] }, { "cell_type": "code", "execution_count": null, "id": "best-config", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "outputs": [], "source": [ "# Best configuration\n", "best = df.loc[df[\"CER\"].idxmin()]\n", "\n", "print(f\"Best CER: {best['CER']:.6f}\")\n", "print(f\"Best WER: {best['WER']:.6f}\")\n", "print(f\"\\nOptimal Configuration:\")\n", "print(f\" textline_orientation: {best['config/textline_orientation']}\")\n", "print(f\" use_doc_orientation_classify: {best['config/use_doc_orientation_classify']}\")\n", "print(f\" use_doc_unwarping: {best['config/use_doc_unwarping']}\")\n", "print(f\" text_det_thresh: {best['config/text_det_thresh']:.4f}\")\n", "print(f\" text_det_box_thresh: {best['config/text_det_box_thresh']:.4f}\")\n", "print(f\" text_det_unclip_ratio: {best['config/text_det_unclip_ratio']}\")\n", "print(f\" text_rec_score_thresh: {best['config/text_rec_score_thresh']:.4f}\")" ] }, { "cell_type": "code", "execution_count": null, "id": "correlation", "metadata": { "papermill": { "duration": null, "end_time": null, "exception": null, "start_time": null, "status": "pending" }, "tags": [] }, "outputs": [], "source": [ "# Correlation analysis\n", "param_cols = [\n", " \"config/text_det_thresh\",\n", " \"config/text_det_box_thresh\",\n", " \"config/text_det_unclip_ratio\",\n", " \"config/text_rec_score_thresh\",\n", "]\n", "\n", "corr_cer = df[param_cols + [\"CER\"]].corr()[\"CER\"].sort_values(ascending=False)\n", "corr_wer = df[param_cols + [\"WER\"]].corr()[\"WER\"].sort_values(ascending=False)\n", "\n", "print(\"Correlation with CER:\")\n", "print(corr_cer)\n", "print(\"\\nCorrelation with WER:\")\n", "print(corr_wer)" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.3" }, "papermill": { "default_parameters": {}, "duration": null, "end_time": null, "environment_variables": {}, "exception": null, "input_path": "paddle_ocr_raytune_rest.ipynb", "output_path": "output_raytune.ipynb", "parameters": {}, "start_time": "2026-01-18T07:09:36.905858", "version": "2.6.0" } }, "nbformat": 4, "nbformat_minor": 5 }