From fd93d57272519feed1c2a7450d7bbd3177ade85f Mon Sep 17 00:00:00 2001 From: Julian Date: Sat, 26 Nov 2022 17:07:30 +0100 Subject: [PATCH 01/68] added a first working draft of the aim_logger alongside unit test Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 196 +++++++++++++++++++++++++++ python/ray/tune/tests/test_logger.py | 72 ++++++++++ 2 files changed, 268 insertions(+) create mode 100644 python/ray/tune/logger/aim.py diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py new file mode 100644 index 0000000000000..2c371629d1406 --- /dev/null +++ b/python/ray/tune/logger/aim.py @@ -0,0 +1,196 @@ +import logging +import pathlib + +import numpy as np + +from typing import TYPE_CHECKING, Dict, Optional + +from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT +from ray.tune.logger.logger import Logger, LoggerCallback +from ray.util.debug import log_once +from ray.tune.result import ( TRAINING_ITERATION, + TIME_TOTAL_S, + TIMESTEPS_TOTAL, +) +from ray.tune.utils import flatten_dict +from ray.util.annotations import PublicAPI + +if TYPE_CHECKING: + from ray.tune.experiment.trial import Trial # noqa: F401 + +logger = logging.getLogger(__name__) + +VALID_SUMMARY_TYPES = [int, float, np.float32, np.float64, np.int32, np.int64] + + +@PublicAPI +class AimCallback(LoggerCallback): + """Aim Logger. + Logs metrics in aim format. + """ + + VALID_HPARAMS = (str, bool, int, float, list, type(None)) + VALID_NP_HPARAMS = (np.bool8, np.float32, np.float64, np.int32, np.int64) + + def __init__(self, + repo: Optional[str] = None, + experiment: Optional[str] = None, + system_tracking_interval: Optional[int] + = DEFAULT_SYSTEM_TRACKING_INT, + log_system_params: bool = True, + metrics: Optional[str] = None + ): + + self._repo_path = repo + self._experiment_name = experiment + self._system_tracking_interval = system_tracking_interval + self._log_system_params = log_system_params + self._metrics = metrics + self._log_value_warned = False + + try: + from aim.sdk import Run + self._run_cls = Run + from aim import Image + from aim import Distribution + from aim.ext.resource.configs import DEFAULT_SYSTEM_TRACKING_INT + + except ImportError: + if log_once("aim-install"): + logger.info('"pip install aim" to be able to use the aim logger.') + raise + + self._trial_run: Dict["Trial", Run] = {} + + def _create_run(self, trial): + """ + Returns: Run + """ + run = self._run_cls( + repo=self._repo_path, + experiment=self._experiment_name, + system_tracking_interval=self._system_tracking_interval, + log_system_params=self._log_system_params, + ) + run["trial_id"] = trial.trial_id + return run + + def log_trial_start(self, trial: "Trial"): + logger.info(f"trial {trial} logger is started") + + # do nothing when the trial is alrady initiliated + if trial in self._trial_run: + self._trial_run[trial].close() + trial.init_logdir() + self._trial_run[trial] = self._create_run(trial) + + # log hyperparameters + if trial and trial.evaluated_params: + flat_result = flatten_dict(trial.evaluated_params, delimiter="/") + scrubbed_result = { + k: value + for k, value in flat_result.items() + if isinstance(value, tuple(VALID_SUMMARY_TYPES)) + } + self._try_log_hparams(trial, scrubbed_result) + + def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): + # create local copy to avoid problems + tmp_result = result.copy() + if trial not in self._trial_run: + self.log_trial_start(trial) + + step = result.get(TIMESTEPS_TOTAL) or result[TRAINING_ITERATION] + + for k in ["config", "pid", "timestamp", TIME_TOTAL_S, TRAINING_ITERATION]: + if k in tmp_result: + del tmp_result[k] # not useful to log these + + context = None + if "context" in tmp_result: + context = tmp_result["context"] + del tmp_result["context"] + + epoch = None + if "epoch" in tmp_result: + epoch = tmp_result["epoch"] + del tmp_result["epoch"] + + if self._metrics: + for metric in self._metrics: + try: + self._trial_run[trial].track(value=tmp_result[metric], epoch=epoch, name=metric, step=step, + context=context) + except KeyError: + logger.warning(f"The metric {metric} is specified but not reported.") + else: + # if no metric is specified log everything that is reported + flat_result = flatten_dict(tmp_result, delimiter="/") + valid_result = {} + + for attr, value in flat_result.items(): + if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan(value): + valid_result[attr] = value + self._trial_run[trial].track(value=value, name=attr, epoch=epoch, step=step, context=context) + elif (isinstance(value, list) and len(value) > 0) or ( + isinstance(value, np.ndarray) and value.size > 0 + ): + valid_result[attr] = value + + """ + # ToDO: implement usage of audio, images etc. here.. + # Must be video + if isinstance(value, np.ndarray) and value.ndim == 5: + self._trial_writer[trial].add_video( + attr, value, global_step=step, fps=20 + ) + continue + + try: + self._trial_writer[trial].add_histogram( + attr, value, global_step=step + ) + # In case TensorboardX still doesn't think it's a valid value + # (e.g. `[[]]`), warn and move on. + except (ValueError, TypeError): + if log_once("invalid_tbx_value"): + logger.warning( + "You are trying to log an invalid value ({}={}) " + "via {}!".format(attr, value, type(self).__name__) + ) + """ + + def log_trial_end(self, trial: "Trial", failed: bool = False): + # cleanup in the end + self._trial_run[trial].finalize() + self._trial_run[trial].close() + del self._trial_run[trial] + + logger.info(f"trial {trial} aim logger closed") + + def _try_log_hparams(self, trial: "Trial", params): + flat_params = flatten_dict(params) + scrubbed_params = { + k: v for k, v in flat_params.items() if isinstance(v, self.VALID_HPARAMS) + } + + np_params = { + k: v.tolist() + for k, v in flat_params.items() + if isinstance(v, self.VALID_NP_HPARAMS) + } + + scrubbed_params.update(np_params) + removed = { + k: v + for k, v in flat_params.items() + if not isinstance(v, self.VALID_HPARAMS + self.VALID_NP_HPARAMS) + } + if removed: + logger.info( + "Removed the following hyperparameter values when " + "logging to aim: %s", + str(removed), + ) + + self._trial_run[trial]['hparams'] = scrubbed_params diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index 0fb59f3757654..ddb49202fc877 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -1,6 +1,7 @@ import csv import glob import json +import logging import os from collections import namedtuple import unittest @@ -16,6 +17,7 @@ CSVLogger, TBXLoggerCallback, TBXLogger, + AimCallback ) from ray.tune.result import ( EXPR_PARAM_FILE, @@ -263,6 +265,76 @@ def testBadTBX(self): logger.on_trial_complete(3, [], t) assert "INFO" in cm.output[0] + def testAim(self): + config = { + "a": 2, + "b": [1, 2], + "c": {"c": {"D": 123}}, + "int32": np.int32(1), + "int64": np.int64(2), + "bool8": np.bool8(True), + "float32": np.float32(3), + "float64": np.float64(4), + "bad": np.float128(4), + } + t = Trial(evaluated_params=config, trial_id="aim", logdir=self.test_dir) + logger = AimCallback() + logger.on_trial_result(0, [], t, result(0, 4)) + logger.on_trial_result(1, [], t, result(1, 5)) + logger.on_trial_result( + 2, [], t, result(2, 6, score=[1, 2, 3], hello={"world": 1}) + ) + + logger.on_trial_complete(3, [], t) + + self._validate_aimresults( + params=(b"float32", b"float64", b"int32", b"int64", b"bool8"), + excluded_params=(b"bad",), + ) + + def _validate_aimresults(self, params=None, excluded_params=None): + try: + import aim + except ImportError: + print("Skipping rest of test as aim is not installed.") + return + + """ + # ToDo: proper test here + events_file = list(glob.glob(f"{self.test_dir}/events*"))[0] + results = [] + excluded_params = excluded_params or [] + for event in summary_iterator(events_file): + for v in event.summary.value: + if v.tag == "ray/tune/episode_reward_mean": + results.append(v.simple_value) + elif v.tag == "_hparams_/experiment" and params: + for key in params: + self.assertIn(key, v.metadata.plugin_data.content) + for key in excluded_params: + self.assertNotIn(key, v.metadata.plugin_data.content) + elif v.tag == "_hparams_/session_start_info" and params: + for key in params: + self.assertIn(key, v.metadata.plugin_data.content) + for key in excluded_params: + self.assertNotIn(key, v.metadata.plugin_data.content) + self.assertEqual(len(results), 3) + self.assertSequenceEqual([int(res) for res in results], [4, 5, 6]) + """ + + def testBadAim(self): + config = {"b": (1, 2, 3)} + t = Trial(evaluated_params=config, trial_id="aim", logdir=self.test_dir) + logger = AimCallback() + logger.on_trial_result(0, [], t, result(0, 4)) + logger.on_trial_result(1, [], t, result(1, 5)) + logger.on_trial_result( + 2, [], t, result(2, 6, score=[1, 2, 3], hello={"world": 1}) + ) + with self.assertLogs("ray.tune.logger", level="INFO") as cm: + logger.on_trial_complete(3, [], t) + assert "INFO" in cm.output[0] + if __name__ == "__main__": import pytest From 7276a398d64948b4c2af15e0b789a0b42c06429c Mon Sep 17 00:00:00 2001 From: Julian Date: Sat, 26 Nov 2022 17:15:54 +0100 Subject: [PATCH 02/68] adjusted the logger/__init__.py. Now it imports the AimCallback Signed-off-by: Julian --- python/ray/tune/logger/__init__.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/python/ray/tune/logger/__init__.py b/python/ray/tune/logger/__init__.py index 052d5cb9da862..cf9250bf8009f 100644 --- a/python/ray/tune/logger/__init__.py +++ b/python/ray/tune/logger/__init__.py @@ -8,6 +8,7 @@ from ray.tune.logger.json import JsonLogger, JsonLoggerCallback from ray.tune.logger.noop import NoopLogger from ray.tune.logger.tensorboardx import TBXLogger, TBXLoggerCallback +from ray.tune.logger.aim import AimCallback DEFAULT_LOGGERS = (JsonLogger, CSVLogger, TBXLogger) @@ -26,4 +27,5 @@ "TBXLogger", "TBXLoggerCallback", "UnifiedLogger", + "AimCallback", ] From 61d1b6e315ca8b5bc4a98193572759ba5c962a69 Mon Sep 17 00:00:00 2001 From: tmynn Date: Sun, 15 Jan 2023 23:39:55 +0100 Subject: [PATCH 03/68] [feat] Add docs Signed-off-by: Julian --- doc/source/_toc.yml | 2 + .../images/aim_example_metrics_page.png | Bin 0 -> 773057 bytes doc/source/images/aim_logo.png | Bin 0 -> 35699 bytes doc/source/images/aim_logo_full.png | Bin 0 -> 178477 bytes doc/source/tune/api_docs/logging.rst | 8 + .../tune/examples/experiment-tracking.rst | 8 + doc/source/tune/examples/tune-aim.ipynb | 198 ++++++++++++++++++ python/ray/tune/logger/aim.py | 151 ++++++------- 8 files changed, 294 insertions(+), 73 deletions(-) create mode 100644 doc/source/images/aim_example_metrics_page.png create mode 100644 doc/source/images/aim_logo.png create mode 100644 doc/source/images/aim_logo_full.png create mode 100644 doc/source/tune/examples/tune-aim.ipynb diff --git a/doc/source/_toc.yml b/doc/source/_toc.yml index c21f9dc221778..537ecf154a2fe 100644 --- a/doc/source/_toc.yml +++ b/doc/source/_toc.yml @@ -244,6 +244,8 @@ parts: title: "Huggingface Example" - file: tune/examples/experiment-tracking sections: + - file: tune/examples/tune-aim + title: "Aim Example" - file: tune/examples/tune-comet title: "Comet Example" - file: 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zha()%YE;i>SHy9}o8li$uCtoNmaapQ(6 z^=Zk@VXeUD*e<;vtjAtymrsfBAv>z~SqafT5&Bw%D-*n0zbi`. to use our new interface with the ``LoggerCallback`` class instead. +Aim +--------- + +.. autoclass:: ray.tune.logger.AimCallback + +You can install Aim via ``pip install aim``. +You can see the :doc:`tutorial here ` + Viskit ------ diff --git a/doc/source/tune/examples/experiment-tracking.rst b/doc/source/tune/examples/experiment-tracking.rst index c32838e23a234..3fbbb8157cbf6 100644 --- a/doc/source/tune/examples/experiment-tracking.rst +++ b/doc/source/tune/examples/experiment-tracking.rst @@ -11,6 +11,14 @@ to use Ray Tune with Tensorboard, you can find more information in our :column: col-md-4 px-2 py-2 :img-top-cls: pt-5 w-75 d-block mx-auto + --- + :img-top: /images/aim_logo.png + + +++ + .. link-button:: tune-aim-ref + :type: ref + :text: Using Aim with Ray Tune For Experiment Management + :classes: btn-link btn-block stretched-link --- :img-top: /images/comet_logo_full.png diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb new file mode 100644 index 0000000000000..faf381afe54f4 --- /dev/null +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -0,0 +1,198 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "ecad719c", + "metadata": {}, + "source": [ + "# Using Aim with Tune\n", + "\n", + "(tune-aim-ref)=\n", + "\n", + "[Aim](https://aimstack.io) is an easy-to-use & supercharged open-source experiment tracker.\n", + "Aim logs your training runs, enables a beautiful UI to compare them and an API to query them programmatically.\n", + "\n", + "```{image} /images/aim_logo_full.png\n", + ":align: center\n", + ":alt: Aim\n", + ":width: 100%\n", + ":target: https://aimstack.io\n", + "```\n", + "\n", + "Ray Tune currently offers built-in integration with Aim.\n", + "The {ref}`AimCallback ` allows for automatic logging of metrics reported to Tune to the Aim API.\n", + "\n", + "\n", + "```{contents}\n", + ":backlinks: none\n", + ":local: true\n", + "```\n", + "\n", + "## Running An Aim Example\n", + "\n", + "The following example demonstrates how the `AimCallback` works in a toy project.\n", + "We begin by importing the necessary modules:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "100bcf8a", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "import ray\n", + "from ray import air, tune\n", + "from ray.air import session\n", + "from ray.tune.logger.aim import AimCallback" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "9346c0f6", + "metadata": {}, + "source": [ + "Next, we'll define a simple `train_function` (a Tune `Trainable`) that reports a random loss to Tune.\n", + "The objective function itself is not important for this example, as our main focus is on the integration with Aim." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e8b4fc4d", + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "def train_function(config):\n", + " for _ in range(50):\n", + " loss = config[\"mean\"] + config[\"sd\"] * np.random.randn()\n", + " session.report({\"loss\": loss})" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "831eed42", + "metadata": {}, + "source": [ + "Here is an example of how you can use the `AimCallback` to set up a simple grid-search Tune run." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "52988599", + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "def tune_with_callback():\n", + " \"\"\"An example of utilizing an AimCallback\"\"\"\n", + " tuner = tune.Tuner(\n", + " train_function,\n", + " tune_config=tune.TuneConfig(\n", + " metric=\"loss\",\n", + " mode=\"min\",\n", + " ),\n", + " run_config=air.RunConfig(\n", + " callbacks=[\n", + " AimCallback(repo=\"ray_tune\", experiment_name=\"ray tune example\", as_multirun=True)\n", + " ]\n", + " ),\n", + " param_space={\n", + " \"mean\": tune.grid_search([1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", + " \"sd\": tune.uniform(0.1, 0.9),\n", + " },\n", + " )\n", + " tuner.fit()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3bc21609", + "metadata": {}, + "outputs": [], + "source": [ + "tune_with_callback()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "941f25f2", + "metadata": {}, + "source": [ + "Upon executing the script, a grid-search will be carried out and the results will be seamlessly saved to the Aim repo.\n", + "These results can then be easily accessed and analyzed through the user-friendly interface provided by Aim UI, stored in the `ray_tune` repository." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "7bb97157", + "metadata": {}, + "source": [ + "```{image} /images/aim_example_metrics_page.png\n", + ":align: center\n", + ":alt: Aim Metrics Explorer\n", + ":target: https://aimstack.readthedocs.io/en/latest/ui/pages/explorers.html#metrics-explorer\n", + "```" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "2f6e9138", + "metadata": {}, + "source": [ + "This concludes our examination of Tune with Aim.\n", + "In the sections to come, you'll find more in-depth information on the API of the Tune-Aim integration.\n", + "\n", + "## Tune Aim API Reference\n", + "\n", + "### AimCallback\n", + "\n", + "(tune-aim-logger)=\n", + "\n", + "```{eval-rst}\n", + ".. autoclass:: ray.tune.logger.aim.AimCallback\n", + " :noindex:\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.7.7" + }, + "orphan": true + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 2c371629d1406..632ff62032385 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,14 +1,13 @@ import logging -import pathlib - import numpy as np -from typing import TYPE_CHECKING, Dict, Optional - +from typing import TYPE_CHECKING, Dict, Optional, List from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT -from ray.tune.logger.logger import Logger, LoggerCallback -from ray.util.debug import log_once -from ray.tune.result import ( TRAINING_ITERATION, +from aim.sdk import Run + +from ray.tune.logger.logger import LoggerCallback +from ray.tune.result import ( + TRAINING_ITERATION, TIME_TOTAL_S, TIMESTEPS_TOTAL, ) @@ -25,44 +24,51 @@ @PublicAPI class AimCallback(LoggerCallback): - """Aim Logger. - Logs metrics in aim format. + """Aim Logger, logs metrics in Aim format. + + Aim is an open-source, self-hosted ML experiment tracking tool. + It's good at tracking lots (1000s) of training runs, and it allows you to compare them with a + performant and beautiful UI. + + Source: https://github.com/aimhubio/aim + + Arguments: + repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. + If skipped, default Repo is used. + experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. + Can be used later to query runs/sequences. + system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage + metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. + log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, + git info, environment variables, etc. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) VALID_NP_HPARAMS = (np.bool8, np.float32, np.float64, np.int32, np.int64) - def __init__(self, - repo: Optional[str] = None, - experiment: Optional[str] = None, - system_tracking_interval: Optional[int] - = DEFAULT_SYSTEM_TRACKING_INT, - log_system_params: bool = True, - metrics: Optional[str] = None - ): + def __init__( + self, + repo: Optional[str] = None, + experiment: Optional[str] = None, + system_tracking_interval: Optional[int] = DEFAULT_SYSTEM_TRACKING_INT, + log_system_params: bool = True, + metrics: Optional[List[str]] = None, + as_multirun: bool = False, + ): self._repo_path = repo self._experiment_name = experiment self._system_tracking_interval = system_tracking_interval self._log_system_params = log_system_params self._metrics = metrics - self._log_value_warned = False - - try: - from aim.sdk import Run - self._run_cls = Run - from aim import Image - from aim import Distribution - from aim.ext.resource.configs import DEFAULT_SYSTEM_TRACKING_INT - - except ImportError: - if log_once("aim-install"): - logger.info('"pip install aim" to be able to use the aim logger.') - raise - + self._as_multirun = as_multirun + self._run_cls = Run self._trial_run: Dict["Trial", Run] = {} - def _create_run(self, trial): + def _create_run(self, trial: "Trial"): """ Returns: Run """ @@ -72,15 +78,19 @@ def _create_run(self, trial): system_tracking_interval=self._system_tracking_interval, log_system_params=self._log_system_params, ) - run["trial_id"] = trial.trial_id + if self._as_multirun: + run["trial_id"] = trial.trial_id return run def log_trial_start(self, trial: "Trial"): logger.info(f"trial {trial} logger is started") - # do nothing when the trial is alrady initiliated - if trial in self._trial_run: - self._trial_run[trial].close() + if self._as_multirun: + if trial in self._trial_run: + self._trial_run[trial].close() + elif self._trial_run: + return + trial.init_logdir() self._trial_run[trial] = self._create_run(trial) @@ -97,8 +107,6 @@ def log_trial_start(self, trial: "Trial"): def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems tmp_result = result.copy() - if trial not in self._trial_run: - self.log_trial_start(trial) step = result.get(TIMESTEPS_TOTAL) or result[TRAINING_ITERATION] @@ -106,9 +114,9 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if k in tmp_result: del tmp_result[k] # not useful to log these - context = None + context = {} if "context" in tmp_result: - context = tmp_result["context"] + context.update(tmp_result["context"]) del tmp_result["context"] epoch = None @@ -116,55 +124,47 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): epoch = tmp_result["epoch"] del tmp_result["epoch"] + trial_run = self._get_trial_run(trial) + if not self._as_multirun: + context["trial"] = trial.trial_id + if self._metrics: for metric in self._metrics: try: - self._trial_run[trial].track(value=tmp_result[metric], epoch=epoch, name=metric, step=step, - context=context) + trial_run.track( + value=tmp_result[metric], + epoch=epoch, + name=metric, + step=step, + context=context, + ) except KeyError: - logger.warning(f"The metric {metric} is specified but not reported.") + logger.warning( + f"The metric {metric} is specified but not reported." + ) else: # if no metric is specified log everything that is reported flat_result = flatten_dict(tmp_result, delimiter="/") valid_result = {} for attr, value in flat_result.items(): - if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan(value): + if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( + value + ): valid_result[attr] = value - self._trial_run[trial].track(value=value, name=attr, epoch=epoch, step=step, context=context) + trial_run.track( + value=value, name=attr, epoch=epoch, step=step, context=context + ) elif (isinstance(value, list) and len(value) > 0) or ( - isinstance(value, np.ndarray) and value.size > 0 + isinstance(value, np.ndarray) and value.size > 0 ): valid_result[attr] = value - """ - # ToDO: implement usage of audio, images etc. here.. - # Must be video - if isinstance(value, np.ndarray) and value.ndim == 5: - self._trial_writer[trial].add_video( - attr, value, global_step=step, fps=20 - ) - continue - - try: - self._trial_writer[trial].add_histogram( - attr, value, global_step=step - ) - # In case TensorboardX still doesn't think it's a valid value - # (e.g. `[[]]`), warn and move on. - except (ValueError, TypeError): - if log_once("invalid_tbx_value"): - logger.warning( - "You are trying to log an invalid value ({}={}) " - "via {}!".format(attr, value, type(self).__name__) - ) - """ - def log_trial_end(self, trial: "Trial", failed: bool = False): # cleanup in the end - self._trial_run[trial].finalize() - self._trial_run[trial].close() - del self._trial_run[trial] + trial_run = self._get_trial_run(trial) + trial_run.close() + del trial_run logger.info(f"trial {trial} aim logger closed") @@ -193,4 +193,9 @@ def _try_log_hparams(self, trial: "Trial", params): str(removed), ) - self._trial_run[trial]['hparams'] = scrubbed_params + self._trial_run[trial]["hparams"] = scrubbed_params + + def _get_trial_run(self, trial): + if not self._as_multirun: + return list(self._trial_run.values())[0] + return self._trial_run[trial] From f71c41e47c669c8564f7ba071430aa1bfb9b7260 Mon Sep 17 00:00:00 2001 From: tmynn Date: Sun, 15 Jan 2023 23:45:46 +0100 Subject: [PATCH 04/68] [fix] Sign-off Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 67 +++++++++++++++++++++-------------- 1 file changed, 41 insertions(+), 26 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 632ff62032385..ea246fca5a012 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,9 +1,8 @@ import logging -import numpy as np +from pathlib import Path +import numpy as np from typing import TYPE_CHECKING, Dict, Optional, List -from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT -from aim.sdk import Run from ray.tune.logger.logger import LoggerCallback from ray.tune.result import ( @@ -16,6 +15,12 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 +try: + from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT + from aim.sdk import Run +except ImportError: + DEFAULT_SYSTEM_TRACKING_INT = None + Run = None logger = logging.getLogger(__name__) @@ -32,18 +37,21 @@ class AimCallback(LoggerCallback): Source: https://github.com/aimhubio/aim + Arguments: repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. If skipped, default Repo is used. experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. Can be used later to query runs/sequences. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, git info, environment variables, etc. - metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. + + For more arguments please check the aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -53,38 +61,42 @@ def __init__( self, repo: Optional[str] = None, experiment: Optional[str] = None, - system_tracking_interval: Optional[int] = DEFAULT_SYSTEM_TRACKING_INT, - log_system_params: bool = True, metrics: Optional[List[str]] = None, - as_multirun: bool = False, + as_multirun: Optional[bool] = False, + **aim_run_kwargs ): - + """ + Please see help(AimCallback) for more information about parameters. + """ + assert Run is not None, ( + "aim must be installed!. You can install aim with" + " the command: `pip install aim`." + ) self._repo_path = repo self._experiment_name = experiment - self._system_tracking_interval = system_tracking_interval - self._log_system_params = log_system_params + assert bool(metrics) is True or metrics is None self._metrics = metrics self._as_multirun = as_multirun self._run_cls = Run + self._aim_run_kwargs = aim_run_kwargs self._trial_run: Dict["Trial", Run] = {} - def _create_run(self, trial: "Trial"): + def _create_run(self, trial: "Trial") -> Run: """ - Returns: Run + Returns: + run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. """ + experiment_dir = str(Path(trial.logdir).parent) run = self._run_cls( - repo=self._repo_path, - experiment=self._experiment_name, - system_tracking_interval=self._system_tracking_interval, - log_system_params=self._log_system_params, + repo=self._repo_path or experiment_dir, + experiment=self._experiment_name or trial.experiment_dir_name, + **self._aim_run_kwargs ) if self._as_multirun: run["trial_id"] = trial.trial_id return run def log_trial_start(self, trial: "Trial"): - logger.info(f"trial {trial} logger is started") - if self._as_multirun: if trial in self._trial_run: self._trial_run[trial].close() @@ -102,7 +114,7 @@ def log_trial_start(self, trial: "Trial"): for k, value in flat_result.items() if isinstance(value, tuple(VALID_SUMMARY_TYPES)) } - self._try_log_hparams(trial, scrubbed_result) + self._log_hparams(trial, scrubbed_result) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems @@ -128,13 +140,16 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if not self._as_multirun: context["trial"] = trial.trial_id + path = ["ray", "tune"] + if self._metrics: for metric in self._metrics: + full_attr = "/".join(path + [metric]) try: trial_run.track( value=tmp_result[metric], epoch=epoch, - name=metric, + name=full_attr, step=step, context=context, ) @@ -148,12 +163,13 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): valid_result = {} for attr, value in flat_result.items(): + full_attr = "/".join(path + [attr]) if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( value ): valid_result[attr] = value trial_run.track( - value=value, name=attr, epoch=epoch, step=step, context=context + value=value, name=full_attr, epoch=epoch, step=step, context=context ) elif (isinstance(value, list) and len(value) > 0) or ( isinstance(value, np.ndarray) and value.size > 0 @@ -166,10 +182,9 @@ def log_trial_end(self, trial: "Trial", failed: bool = False): trial_run.close() del trial_run - logger.info(f"trial {trial} aim logger closed") - - def _try_log_hparams(self, trial: "Trial", params): + def _log_hparams(self, trial: "Trial", params: Dict): flat_params = flatten_dict(params) + scrubbed_params = { k: v for k, v in flat_params.items() if isinstance(v, self.VALID_HPARAMS) } From 1b0ba2ab3adb8bbbe258bcefc2a40a119c4e27b0 Mon Sep 17 00:00:00 2001 From: Julian Date: Sat, 21 Jan 2023 18:57:01 +0100 Subject: [PATCH 05/68] param check is now using pop Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 11 ++--------- 1 file changed, 2 insertions(+), 9 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index ea246fca5a012..96e3e1fa1ef20 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -126,15 +126,8 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if k in tmp_result: del tmp_result[k] # not useful to log these - context = {} - if "context" in tmp_result: - context.update(tmp_result["context"]) - del tmp_result["context"] - - epoch = None - if "epoch" in tmp_result: - epoch = tmp_result["epoch"] - del tmp_result["epoch"] + context = tmp_result.pop("context", None) + epoch = tmp_result.pop("epoch", None) trial_run = self._get_trial_run(trial) if not self._as_multirun: From af613e5884c83fa197dbd9948ab322f7b615a22f Mon Sep 17 00:00:00 2001 From: Julian Date: Sat, 21 Jan 2023 19:11:22 +0100 Subject: [PATCH 06/68] metrics are now checked before they are logged. Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 35 +++++++++++++++++++++++------------ 1 file changed, 23 insertions(+), 12 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 96e3e1fa1ef20..767e0e5990d57 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -136,20 +136,31 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): path = ["ray", "tune"] if self._metrics: + flat_result = flatten_dict(tmp_result, delimiter="/") + valid_result = {} for metric in self._metrics: full_attr = "/".join(path + [metric]) - try: - trial_run.track( - value=tmp_result[metric], - epoch=epoch, - name=full_attr, - step=step, - context=context, - ) - except KeyError: - logger.warning( - f"The metric {metric} is specified but not reported." - ) + value = flat_result[metric] + if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( + value + ): + valid_result[metric] = value + try: + trial_run.track( + value=tmp_result[metric], + epoch=epoch, + name=full_attr, + step=step, + context=context, + ) + except KeyError: + logger.warning( + f"The metric {metric} is specified but not reported." + ) + elif (isinstance(value, list) and len(value) > 0) or ( + isinstance(value, np.ndarray) and value.size > 0 + ): + valid_result[metric] = value else: # if no metric is specified log everything that is reported flat_result = flatten_dict(tmp_result, delimiter="/") From 20b7f7d0fc39c4d4fb535d70a4841e147305ba04 Mon Sep 17 00:00:00 2001 From: tmynn Date: Sat, 21 Jan 2023 23:00:43 +0100 Subject: [PATCH 07/68] [feat] Add tests Signed-off-by: tmynn Signed-off-by: Julian --- python/ray/tune/tests/test_logger.py | 48 +++++++++++++--------------- 1 file changed, 23 insertions(+), 25 deletions(-) diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index ddb49202fc877..7f0b6d5255231 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -1,7 +1,6 @@ import csv import glob import json -import logging import os from collections import namedtuple import unittest @@ -10,6 +9,8 @@ import numpy as np from ray.cloudpickle import cloudpickle +# import logging + from ray.tune.logger import ( CSVLoggerCallback, JsonLoggerCallback, @@ -17,7 +18,7 @@ CSVLogger, TBXLoggerCallback, TBXLogger, - AimCallback + AimCallback, ) from ray.tune.result import ( EXPR_PARAM_FILE, @@ -277,8 +278,13 @@ def testAim(self): "float64": np.float64(4), "bad": np.float128(4), } - t = Trial(evaluated_params=config, trial_id="aim", logdir=self.test_dir) - logger = AimCallback() + # Test that aim repo is saved to the experiment directory + # (one up from the trial directory) as the default + trial_logdir = os.path.join(self.test_dir, "trial_logdir") + t = Trial(evaluated_params=config, + trial_id="aim", logdir=self.test_dir) + logger = AimCallback(repo=self.test_dir, experiment="aim_test") + logger.log_trial_start(t) logger.on_trial_result(0, [], t, result(0, 4)) logger.on_trial_result(1, [], t, result(1, 5)) logger.on_trial_result( @@ -294,38 +300,30 @@ def testAim(self): def _validate_aimresults(self, params=None, excluded_params=None): try: - import aim + from aim import Repo except ImportError: print("Skipping rest of test as aim is not installed.") return - """ - # ToDo: proper test here - events_file = list(glob.glob(f"{self.test_dir}/events*"))[0] + # Check result logs + aim_repo = Repo(self.test_dir) + aim_run = list(aim_repo.iter_runs())[0] + results = [] excluded_params = excluded_params or [] - for event in summary_iterator(events_file): - for v in event.summary.value: - if v.tag == "ray/tune/episode_reward_mean": - results.append(v.simple_value) - elif v.tag == "_hparams_/experiment" and params: - for key in params: - self.assertIn(key, v.metadata.plugin_data.content) - for key in excluded_params: - self.assertNotIn(key, v.metadata.plugin_data.content) - elif v.tag == "_hparams_/session_start_info" and params: - for key in params: - self.assertIn(key, v.metadata.plugin_data.content) - for key in excluded_params: - self.assertNotIn(key, v.metadata.plugin_data.content) + for metric in aim_run.metrics(): + if metric.name == "ray/tune/episode_reward_mean": + results = metric.values.values_list() + self.assertEqual(len(results), 3) self.assertSequenceEqual([int(res) for res in results], [4, 5, 6]) - """ def testBadAim(self): config = {"b": (1, 2, 3)} - t = Trial(evaluated_params=config, trial_id="aim", logdir=self.test_dir) - logger = AimCallback() + t = Trial(evaluated_params=config, + trial_id="aim", logdir=self.test_dir) + logger = AimCallback(repo=self.test_dir, experiment="aim_test") + logger.log_trial_start(t) logger.on_trial_result(0, [], t, result(0, 4)) logger.on_trial_result(1, [], t, result(1, 5)) logger.on_trial_result( From 63b646b1bbf278a5c32301a6db2d94a164f0c584 Mon Sep 17 00:00:00 2001 From: Julian Date: Sun, 22 Jan 2023 11:50:15 +0100 Subject: [PATCH 08/68] Removed comment Signed-off-by: Julian --- python/ray/tune/tests/test_logger.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index 7f0b6d5255231..cb1fef9880520 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -9,8 +9,6 @@ import numpy as np from ray.cloudpickle import cloudpickle -# import logging - from ray.tune.logger import ( CSVLoggerCallback, JsonLoggerCallback, From 99ffd41a248122d78d9603174bb932d75654656d Mon Sep 17 00:00:00 2001 From: tmynn Date: Thu, 29 Dec 2022 11:39:35 +0100 Subject: [PATCH 09/68] [feat] Add as_multirun option. Update the docstring Signed-off-by: tmynn Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 137 +++++++++++++++------------------- 1 file changed, 59 insertions(+), 78 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 767e0e5990d57..0b0dbe5186a80 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,8 +1,9 @@ import logging -from pathlib import Path - import numpy as np + from typing import TYPE_CHECKING, Dict, Optional, List +from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT +from aim.sdk import Run from ray.tune.logger.logger import LoggerCallback from ray.tune.result import ( @@ -15,12 +16,6 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 -try: - from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT - from aim.sdk import Run -except ImportError: - DEFAULT_SYSTEM_TRACKING_INT = None - Run = None logger = logging.getLogger(__name__) @@ -29,29 +24,25 @@ @PublicAPI class AimCallback(LoggerCallback): - """Aim Logger, logs metrics in Aim format. - + """Aim Logger. + Logs metrics in aim format. Aim is an open-source, self-hosted ML experiment tracking tool. It's good at tracking lots (1000s) of training runs, and it allows you to compare them with a performant and beautiful UI. - Source: https://github.com/aimhubio/aim - - Arguments: - repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. - If skipped, default Repo is used. - experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. - Can be used later to query runs/sequences. - metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. - system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage - metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. - log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, - git info, environment variables, etc. - - For more arguments please check the aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html + Args: + repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. + If skipped, default Repo is used. + experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. + Can be used later to query runs/sequences. + system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage + metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. + log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, + git info, environment variables, etc. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -61,42 +52,38 @@ def __init__( self, repo: Optional[str] = None, experiment: Optional[str] = None, + system_tracking_interval: Optional[int] = DEFAULT_SYSTEM_TRACKING_INT, + log_system_params: bool = True, metrics: Optional[List[str]] = None, - as_multirun: Optional[bool] = False, - **aim_run_kwargs + as_multirun: bool = False, ): - """ - Please see help(AimCallback) for more information about parameters. - """ - assert Run is not None, ( - "aim must be installed!. You can install aim with" - " the command: `pip install aim`." - ) + self._repo_path = repo self._experiment_name = experiment - assert bool(metrics) is True or metrics is None + self._system_tracking_interval = system_tracking_interval + self._log_system_params = log_system_params self._metrics = metrics self._as_multirun = as_multirun self._run_cls = Run - self._aim_run_kwargs = aim_run_kwargs self._trial_run: Dict["Trial", Run] = {} - def _create_run(self, trial: "Trial") -> Run: + def _create_run(self, trial: "Trial"): """ - Returns: - run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. + Returns: Run """ - experiment_dir = str(Path(trial.logdir).parent) run = self._run_cls( - repo=self._repo_path or experiment_dir, - experiment=self._experiment_name or trial.experiment_dir_name, - **self._aim_run_kwargs + repo=self._repo_path, + experiment=self._experiment_name, + system_tracking_interval=self._system_tracking_interval, + log_system_params=self._log_system_params, ) if self._as_multirun: run["trial_id"] = trial.trial_id return run def log_trial_start(self, trial: "Trial"): + logger.info(f"trial {trial} logger is started") + if self._as_multirun: if trial in self._trial_run: self._trial_run[trial].close() @@ -114,7 +101,7 @@ def log_trial_start(self, trial: "Trial"): for k, value in flat_result.items() if isinstance(value, tuple(VALID_SUMMARY_TYPES)) } - self._log_hparams(trial, scrubbed_result) + self._try_log_hparams(trial, scrubbed_result) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems @@ -126,54 +113,46 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if k in tmp_result: del tmp_result[k] # not useful to log these - context = tmp_result.pop("context", None) - epoch = tmp_result.pop("epoch", None) + context = {} + if "context" in tmp_result: + context.update(tmp_result["context"]) + del tmp_result["context"] + + epoch = None + if "epoch" in tmp_result: + epoch = tmp_result["epoch"] + del tmp_result["epoch"] trial_run = self._get_trial_run(trial) if not self._as_multirun: context["trial"] = trial.trial_id - path = ["ray", "tune"] - if self._metrics: - flat_result = flatten_dict(tmp_result, delimiter="/") - valid_result = {} for metric in self._metrics: - full_attr = "/".join(path + [metric]) - value = flat_result[metric] - if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( - value - ): - valid_result[metric] = value - try: - trial_run.track( - value=tmp_result[metric], - epoch=epoch, - name=full_attr, - step=step, - context=context, - ) - except KeyError: - logger.warning( - f"The metric {metric} is specified but not reported." - ) - elif (isinstance(value, list) and len(value) > 0) or ( - isinstance(value, np.ndarray) and value.size > 0 - ): - valid_result[metric] = value + try: + trial_run.track( + value=tmp_result[metric], + epoch=epoch, + name=metric, + step=step, + context=context, + ) + except KeyError: + logger.warning( + f"The metric {metric} is specified but not reported." + ) else: # if no metric is specified log everything that is reported flat_result = flatten_dict(tmp_result, delimiter="/") valid_result = {} for attr, value in flat_result.items(): - full_attr = "/".join(path + [attr]) if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( value ): valid_result[attr] = value trial_run.track( - value=value, name=full_attr, epoch=epoch, step=step, context=context + value=value, name=attr, epoch=epoch, step=step, context=context ) elif (isinstance(value, list) and len(value) > 0) or ( isinstance(value, np.ndarray) and value.size > 0 @@ -186,9 +165,10 @@ def log_trial_end(self, trial: "Trial", failed: bool = False): trial_run.close() del trial_run - def _log_hparams(self, trial: "Trial", params: Dict): - flat_params = flatten_dict(params) + logger.info(f"trial {trial} aim logger closed") + def _try_log_hparams(self, trial: "Trial", params): + flat_params = flatten_dict(params) scrubbed_params = { k: v for k, v in flat_params.items() if isinstance(v, self.VALID_HPARAMS) } @@ -214,7 +194,8 @@ def _log_hparams(self, trial: "Trial", params: Dict): self._trial_run[trial]["hparams"] = scrubbed_params + def _get_trial_run(self, trial): if not self._as_multirun: return list(self._trial_run.values())[0] - return self._trial_run[trial] + return self._trial_run[trial] \ No newline at end of file From 2533be5f65b6bed1ef6b727deb43b1ae880749c1 Mon Sep 17 00:00:00 2001 From: tmynn Date: Sun, 15 Jan 2023 22:39:55 +0000 Subject: [PATCH 10/68] [feat] Add docs Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 0b0dbe5186a80..632ff62032385 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -24,25 +24,26 @@ @PublicAPI class AimCallback(LoggerCallback): - """Aim Logger. - Logs metrics in aim format. + """Aim Logger, logs metrics in Aim format. + Aim is an open-source, self-hosted ML experiment tracking tool. It's good at tracking lots (1000s) of training runs, and it allows you to compare them with a performant and beautiful UI. + Source: https://github.com/aimhubio/aim - Args: - repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. - If skipped, default Repo is used. - experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. - Can be used later to query runs/sequences. - system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage - metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. - log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, - git info, environment variables, etc. - metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. + Arguments: + repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. + If skipped, default Repo is used. + experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. + Can be used later to query runs/sequences. + system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage + metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. + log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, + git info, environment variables, etc. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -194,8 +195,7 @@ def _try_log_hparams(self, trial: "Trial", params): self._trial_run[trial]["hparams"] = scrubbed_params - def _get_trial_run(self, trial): if not self._as_multirun: return list(self._trial_run.values())[0] - return self._trial_run[trial] \ No newline at end of file + return self._trial_run[trial] From 2d80acd6a082196375bf5db19c84fd9517c89615 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 09:23:28 +0100 Subject: [PATCH 11/68] Fixed the imports and added try except statement for third party library (aim) Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 632ff62032385..a6a6a70a74f4b 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,9 +1,6 @@ import logging import numpy as np - from typing import TYPE_CHECKING, Dict, Optional, List -from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT -from aim.sdk import Run from ray.tune.logger.logger import LoggerCallback from ray.tune.result import ( @@ -16,6 +13,12 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 +try: + from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT + from aim.sdk import Run +except ImportError: + DEFAULT_SYSTEM_TRACKING_INT = None + Run = None logger = logging.getLogger(__name__) From 59e35380dd5ea03b7828c253afc6047a8c3a8b7c Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 09:24:14 +0100 Subject: [PATCH 12/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index a6a6a70a74f4b..4905aeec5c69c 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -86,7 +86,6 @@ def _create_run(self, trial: "Trial"): return run def log_trial_start(self, trial: "Trial"): - logger.info(f"trial {trial} logger is started") if self._as_multirun: if trial in self._trial_run: From feb9f8a2fd3fd5d69ddda02be6153811d67fb845 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 09:28:23 +0100 Subject: [PATCH 13/68] Added assertion for aim import. Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 4905aeec5c69c..7a114d6c30e32 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -61,7 +61,10 @@ def __init__( metrics: Optional[List[str]] = None, as_multirun: bool = False, ): - + assert Run is not None, ( + "aim must be installed!. You can install aim with" + " the command: `pip install aim`." + ) self._repo_path = repo self._experiment_name = experiment self._system_tracking_interval = system_tracking_interval From b4de23f0907c0fbb78f8cad75cd1f406c1351b70 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 09:29:46 +0100 Subject: [PATCH 14/68] Type hint for _create_run(..) Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 7a114d6c30e32..6dee663d6cd1c 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -74,7 +74,7 @@ def __init__( self._run_cls = Run self._trial_run: Dict["Trial", Run] = {} - def _create_run(self, trial: "Trial"): + def _create_run(self, trial: "Trial") -> Run: """ Returns: Run """ From 62210e335a504e11289c1895e1b43019705e42fd Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 09:32:55 +0100 Subject: [PATCH 15/68] Renamed log_hparams function. Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 6dee663d6cd1c..0e982d03dedcb 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -173,8 +173,9 @@ def log_trial_end(self, trial: "Trial", failed: bool = False): logger.info(f"trial {trial} aim logger closed") - def _try_log_hparams(self, trial: "Trial", params): + def _log_hparams(self, trial: "Trial", params: Dict): flat_params = flatten_dict(params) + scrubbed_params = { k: v for k, v in flat_params.items() if isinstance(v, self.VALID_HPARAMS) } From 080cf1fc86ef60d025c937fd4b256a962b674f8a Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 09:37:38 +0100 Subject: [PATCH 16/68] Fixed function call. Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 0e982d03dedcb..e5aaee609c3e1 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -107,7 +107,7 @@ def log_trial_start(self, trial: "Trial"): for k, value in flat_result.items() if isinstance(value, tuple(VALID_SUMMARY_TYPES)) } - self._try_log_hparams(trial, scrubbed_result) + self._log_hparams(trial, scrubbed_result) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems From 1c701c64aa153c6c2c79b34bb50ea40e8705975d Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 2 Jan 2023 12:00:54 +0100 Subject: [PATCH 17/68] Adjusted docstring and added the possibility to give kwargs to aim.sdk.Run class. Signed-off-by: Julian Signed-off-by: tmynn --- python/ray/tune/logger/aim.py | 44 +++++++++++++++++------------------ 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index e5aaee609c3e1..8319dadedb7fc 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -35,18 +35,20 @@ class AimCallback(LoggerCallback): Source: https://github.com/aimhubio/aim - Arguments: - repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. - If skipped, default Repo is used. - experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. - Can be used later to query runs/sequences. - system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage - metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. - log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, - git info, environment variables, etc. - metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. + Args: + repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. + If skipped, default Repo is used. + experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. + Can be used later to query runs/sequences. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. + system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage + metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. + log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, + git info, environment variables, etc. + + For more arguments please check the aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -56,10 +58,9 @@ def __init__( self, repo: Optional[str] = None, experiment: Optional[str] = None, - system_tracking_interval: Optional[int] = DEFAULT_SYSTEM_TRACKING_INT, - log_system_params: bool = True, metrics: Optional[List[str]] = None, - as_multirun: bool = False, + as_multirun: Optional[bool] = False, + **aim_run_kwargs ): assert Run is not None, ( "aim must be installed!. You can install aim with" @@ -67,29 +68,28 @@ def __init__( ) self._repo_path = repo self._experiment_name = experiment - self._system_tracking_interval = system_tracking_interval - self._log_system_params = log_system_params + assert bool(metrics) is True or metrics is None self._metrics = metrics self._as_multirun = as_multirun self._run_cls = Run + self._aim_run_kwargs = aim_run_kwargs self._trial_run: Dict["Trial", Run] = {} def _create_run(self, trial: "Trial") -> Run: """ - Returns: Run + Returns: + run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. """ run = self._run_cls( repo=self._repo_path, experiment=self._experiment_name, - system_tracking_interval=self._system_tracking_interval, - log_system_params=self._log_system_params, + **self._aim_run_kwargs ) if self._as_multirun: run["trial_id"] = trial.trial_id return run def log_trial_start(self, trial: "Trial"): - if self._as_multirun: if trial in self._trial_run: self._trial_run[trial].close() @@ -204,4 +204,4 @@ def _log_hparams(self, trial: "Trial", params: Dict): def _get_trial_run(self, trial): if not self._as_multirun: return list(self._trial_run.values())[0] - return self._trial_run[trial] + return self._trial_run[trial] \ No newline at end of file From d860cb879f3d379546969d47364896ff85d40f94 Mon Sep 17 00:00:00 2001 From: tmynn Date: Sun, 15 Jan 2023 23:39:55 +0100 Subject: [PATCH 18/68] [feat] Add docs Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 66 ++++++++++++++++------------------- 1 file changed, 30 insertions(+), 36 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 8319dadedb7fc..632ff62032385 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,6 +1,9 @@ import logging import numpy as np + from typing import TYPE_CHECKING, Dict, Optional, List +from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT +from aim.sdk import Run from ray.tune.logger.logger import LoggerCallback from ray.tune.result import ( @@ -13,12 +16,6 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 -try: - from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT - from aim.sdk import Run -except ImportError: - DEFAULT_SYSTEM_TRACKING_INT = None - Run = None logger = logging.getLogger(__name__) @@ -35,20 +32,18 @@ class AimCallback(LoggerCallback): Source: https://github.com/aimhubio/aim - Args: - repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. - If skipped, default Repo is used. - experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. - Can be used later to query runs/sequences. - metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. - system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage - metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. - log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, - git info, environment variables, etc. - - For more arguments please check the aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html + Arguments: + repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. + If skipped, default Repo is used. + experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. + Can be used later to query runs/sequences. + system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage + metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. + log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, + git info, environment variables, etc. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -58,38 +53,38 @@ def __init__( self, repo: Optional[str] = None, experiment: Optional[str] = None, + system_tracking_interval: Optional[int] = DEFAULT_SYSTEM_TRACKING_INT, + log_system_params: bool = True, metrics: Optional[List[str]] = None, - as_multirun: Optional[bool] = False, - **aim_run_kwargs + as_multirun: bool = False, ): - assert Run is not None, ( - "aim must be installed!. You can install aim with" - " the command: `pip install aim`." - ) + self._repo_path = repo self._experiment_name = experiment - assert bool(metrics) is True or metrics is None + self._system_tracking_interval = system_tracking_interval + self._log_system_params = log_system_params self._metrics = metrics self._as_multirun = as_multirun self._run_cls = Run - self._aim_run_kwargs = aim_run_kwargs self._trial_run: Dict["Trial", Run] = {} - def _create_run(self, trial: "Trial") -> Run: + def _create_run(self, trial: "Trial"): """ - Returns: - run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. + Returns: Run """ run = self._run_cls( repo=self._repo_path, experiment=self._experiment_name, - **self._aim_run_kwargs + system_tracking_interval=self._system_tracking_interval, + log_system_params=self._log_system_params, ) if self._as_multirun: run["trial_id"] = trial.trial_id return run def log_trial_start(self, trial: "Trial"): + logger.info(f"trial {trial} logger is started") + if self._as_multirun: if trial in self._trial_run: self._trial_run[trial].close() @@ -107,7 +102,7 @@ def log_trial_start(self, trial: "Trial"): for k, value in flat_result.items() if isinstance(value, tuple(VALID_SUMMARY_TYPES)) } - self._log_hparams(trial, scrubbed_result) + self._try_log_hparams(trial, scrubbed_result) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems @@ -173,9 +168,8 @@ def log_trial_end(self, trial: "Trial", failed: bool = False): logger.info(f"trial {trial} aim logger closed") - def _log_hparams(self, trial: "Trial", params: Dict): + def _try_log_hparams(self, trial: "Trial", params): flat_params = flatten_dict(params) - scrubbed_params = { k: v for k, v in flat_params.items() if isinstance(v, self.VALID_HPARAMS) } @@ -204,4 +198,4 @@ def _log_hparams(self, trial: "Trial", params: Dict): def _get_trial_run(self, trial): if not self._as_multirun: return list(self._trial_run.values())[0] - return self._trial_run[trial] \ No newline at end of file + return self._trial_run[trial] From 7bacdb8041904ae52392b979a176a0294d4e4be3 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 30 Jan 2023 02:42:37 +0100 Subject: [PATCH 19/68] Small refinements Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 111 ++++++++++++++++++++-------------- 1 file changed, 65 insertions(+), 46 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 632ff62032385..767e0e5990d57 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,9 +1,8 @@ import logging -import numpy as np +from pathlib import Path +import numpy as np from typing import TYPE_CHECKING, Dict, Optional, List -from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT -from aim.sdk import Run from ray.tune.logger.logger import LoggerCallback from ray.tune.result import ( @@ -16,6 +15,12 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 +try: + from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT + from aim.sdk import Run +except ImportError: + DEFAULT_SYSTEM_TRACKING_INT = None + Run = None logger = logging.getLogger(__name__) @@ -32,18 +37,21 @@ class AimCallback(LoggerCallback): Source: https://github.com/aimhubio/aim + Arguments: repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. If skipped, default Repo is used. experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. Can be used later to query runs/sequences. + metrics (:obj:`List[str]`, optional): Specific metrics to track, + if no metric is specified log everything that is reported. + as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, git info, environment variables, etc. - metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. + + For more arguments please check the aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -53,38 +61,42 @@ def __init__( self, repo: Optional[str] = None, experiment: Optional[str] = None, - system_tracking_interval: Optional[int] = DEFAULT_SYSTEM_TRACKING_INT, - log_system_params: bool = True, metrics: Optional[List[str]] = None, - as_multirun: bool = False, + as_multirun: Optional[bool] = False, + **aim_run_kwargs ): - + """ + Please see help(AimCallback) for more information about parameters. + """ + assert Run is not None, ( + "aim must be installed!. You can install aim with" + " the command: `pip install aim`." + ) self._repo_path = repo self._experiment_name = experiment - self._system_tracking_interval = system_tracking_interval - self._log_system_params = log_system_params + assert bool(metrics) is True or metrics is None self._metrics = metrics self._as_multirun = as_multirun self._run_cls = Run + self._aim_run_kwargs = aim_run_kwargs self._trial_run: Dict["Trial", Run] = {} - def _create_run(self, trial: "Trial"): + def _create_run(self, trial: "Trial") -> Run: """ - Returns: Run + Returns: + run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. """ + experiment_dir = str(Path(trial.logdir).parent) run = self._run_cls( - repo=self._repo_path, - experiment=self._experiment_name, - system_tracking_interval=self._system_tracking_interval, - log_system_params=self._log_system_params, + repo=self._repo_path or experiment_dir, + experiment=self._experiment_name or trial.experiment_dir_name, + **self._aim_run_kwargs ) if self._as_multirun: run["trial_id"] = trial.trial_id return run def log_trial_start(self, trial: "Trial"): - logger.info(f"trial {trial} logger is started") - if self._as_multirun: if trial in self._trial_run: self._trial_run[trial].close() @@ -102,7 +114,7 @@ def log_trial_start(self, trial: "Trial"): for k, value in flat_result.items() if isinstance(value, tuple(VALID_SUMMARY_TYPES)) } - self._try_log_hparams(trial, scrubbed_result) + self._log_hparams(trial, scrubbed_result) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems @@ -114,46 +126,54 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if k in tmp_result: del tmp_result[k] # not useful to log these - context = {} - if "context" in tmp_result: - context.update(tmp_result["context"]) - del tmp_result["context"] - - epoch = None - if "epoch" in tmp_result: - epoch = tmp_result["epoch"] - del tmp_result["epoch"] + context = tmp_result.pop("context", None) + epoch = tmp_result.pop("epoch", None) trial_run = self._get_trial_run(trial) if not self._as_multirun: context["trial"] = trial.trial_id + path = ["ray", "tune"] + if self._metrics: + flat_result = flatten_dict(tmp_result, delimiter="/") + valid_result = {} for metric in self._metrics: - try: - trial_run.track( - value=tmp_result[metric], - epoch=epoch, - name=metric, - step=step, - context=context, - ) - except KeyError: - logger.warning( - f"The metric {metric} is specified but not reported." - ) + full_attr = "/".join(path + [metric]) + value = flat_result[metric] + if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( + value + ): + valid_result[metric] = value + try: + trial_run.track( + value=tmp_result[metric], + epoch=epoch, + name=full_attr, + step=step, + context=context, + ) + except KeyError: + logger.warning( + f"The metric {metric} is specified but not reported." + ) + elif (isinstance(value, list) and len(value) > 0) or ( + isinstance(value, np.ndarray) and value.size > 0 + ): + valid_result[metric] = value else: # if no metric is specified log everything that is reported flat_result = flatten_dict(tmp_result, delimiter="/") valid_result = {} for attr, value in flat_result.items(): + full_attr = "/".join(path + [attr]) if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( value ): valid_result[attr] = value trial_run.track( - value=value, name=attr, epoch=epoch, step=step, context=context + value=value, name=full_attr, epoch=epoch, step=step, context=context ) elif (isinstance(value, list) and len(value) > 0) or ( isinstance(value, np.ndarray) and value.size > 0 @@ -166,10 +186,9 @@ def log_trial_end(self, trial: "Trial", failed: bool = False): trial_run.close() del trial_run - logger.info(f"trial {trial} aim logger closed") - - def _try_log_hparams(self, trial: "Trial", params): + def _log_hparams(self, trial: "Trial", params: Dict): flat_params = flatten_dict(params) + scrubbed_params = { k: v for k, v in flat_params.items() if isinstance(v, self.VALID_HPARAMS) } From a208e56fee6a2bb36f34a761f7bd185d534ba822 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:46:48 +0100 Subject: [PATCH 20/68] Update python/ray/tune/logger/aim.py Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 767e0e5990d57..70ec8c666dc5d 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -66,7 +66,7 @@ def __init__( **aim_run_kwargs ): """ - Please see help(AimCallback) for more information about parameters. + See help(AimCallback) for more information about parameters. """ assert Run is not None, ( "aim must be installed!. You can install aim with" From de457ebbf6f87fad599e499880ee4547f90a0ae0 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:47:00 +0100 Subject: [PATCH 21/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index faf381afe54f4..03e3b295750f3 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -10,7 +10,7 @@ "\n", "(tune-aim-ref)=\n", "\n", - "[Aim](https://aimstack.io) is an easy-to-use & supercharged open-source experiment tracker.\n", + "[Aim](https://aimstack.io) is an easy-to-use and supercharged open-source experiment tracker.\n", "Aim logs your training runs, enables a beautiful UI to compare them and an API to query them programmatically.\n", "\n", "```{image} /images/aim_logo_full.png\n", From 5b6a5f5687ffe2d420bd38cc9abb318077cfa56c Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:47:17 +0100 Subject: [PATCH 22/68] Update doc/source/tune/api_docs/logging.rst Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/api_docs/logging.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/api_docs/logging.rst b/doc/source/tune/api_docs/logging.rst index fd1dfac2180b5..e01a368e3d9f3 100644 --- a/doc/source/tune/api_docs/logging.rst +++ b/doc/source/tune/api_docs/logging.rst @@ -19,7 +19,7 @@ Aim .. autoclass:: ray.tune.logger.AimCallback -You can install Aim via ``pip install aim``. +Install Aim via ``pip install aim``. You can see the :doc:`tutorial here ` Viskit From 10ba3782d8c48df259fb08b01470e23bba74dd2d Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:47:31 +0100 Subject: [PATCH 23/68] Update doc/source/tune/api_docs/logging.rst Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/api_docs/logging.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/api_docs/logging.rst b/doc/source/tune/api_docs/logging.rst index e01a368e3d9f3..17f5f55e7f0e5 100644 --- a/doc/source/tune/api_docs/logging.rst +++ b/doc/source/tune/api_docs/logging.rst @@ -20,7 +20,7 @@ Aim .. autoclass:: ray.tune.logger.AimCallback Install Aim via ``pip install aim``. -You can see the :doc:`tutorial here ` +See the :doc:`tutorial here ` Viskit ------ From 3310e8a54fb6abf72708a5714c4bd5c175ad927b Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:47:53 +0100 Subject: [PATCH 24/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 03e3b295750f3..4794bdeb64119 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -11,7 +11,7 @@ "(tune-aim-ref)=\n", "\n", "[Aim](https://aimstack.io) is an easy-to-use and supercharged open-source experiment tracker.\n", - "Aim logs your training runs, enables a beautiful UI to compare them and an API to query them programmatically.\n", + "Aim logs your training runs, enables a well-designed UI to compare them, and provides an API to query them programmatically.\n", "\n", "```{image} /images/aim_logo_full.png\n", ":align: center\n", From 7a36941bbf95ce04297a2de62b865ef2070d2d1b Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:50:01 +0100 Subject: [PATCH 25/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 4794bdeb64119..ddc5b1e743e3c 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -31,7 +31,7 @@ "\n", "## Running An Aim Example\n", "\n", - "The following example demonstrates how the `AimCallback` works in a toy project.\n", + "The following example demonstrates how the `AimCallback` works in a sample project.\n", "We begin by importing the necessary modules:" ] }, From 8baf62dd904e58853de72c1cc19e494a7a78316c Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:50:10 +0100 Subject: [PATCH 26/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index ddc5b1e743e3c..cad67e146de76 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -32,7 +32,7 @@ "## Running An Aim Example\n", "\n", "The following example demonstrates how the `AimCallback` works in a sample project.\n", - "We begin by importing the necessary modules:" + "Begin by importing the necessary modules:" ] }, { From a6a2b0e237a54a156eba4bc0a3872b1686200927 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:50:25 +0100 Subject: [PATCH 27/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index cad67e146de76..db7dddacd2697 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -56,7 +56,7 @@ "id": "9346c0f6", "metadata": {}, "source": [ - "Next, we'll define a simple `train_function` (a Tune `Trainable`) that reports a random loss to Tune.\n", + "Next, define a simple `train_function` (a Tune `Trainable`) that reports a random loss to Tune.\n", "The objective function itself is not important for this example, as our main focus is on the integration with Aim." ] }, From 688c8bdde35d931e506d7086694563acef73f5c5 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:50:48 +0100 Subject: [PATCH 28/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index db7dddacd2697..1742ea122d94c 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -134,7 +134,7 @@ "id": "941f25f2", "metadata": {}, "source": [ - "Upon executing the script, a grid-search will be carried out and the results will be seamlessly saved to the Aim repo.\n", + "When the script executes, a grid-search is carried out and the results are seamlessly saved to the Aim repo.\n", "These results can then be easily accessed and analyzed through the user-friendly interface provided by Aim UI, stored in the `ray_tune` repository." ] }, From 81ca4e0092293e269aff027efba2ace5ae4d13d1 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:51:09 +0100 Subject: [PATCH 29/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 1742ea122d94c..b0dda40a52ca5 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -135,7 +135,7 @@ "metadata": {}, "source": [ "When the script executes, a grid-search is carried out and the results are seamlessly saved to the Aim repo.\n", - "These results can then be easily accessed and analyzed through the user-friendly interface provided by Aim UI, stored in the `ray_tune` repository." + "You can access and analyze the results with the user-friendly interface provided by the Aim UI, stored in the `ray_tune` repository." ] }, { From 1d916344eafbef2a56683a5bbad171a7b181cf81 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:51:19 +0100 Subject: [PATCH 30/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index b0dda40a52ca5..b5463ac16a2ed 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -158,7 +158,7 @@ "metadata": {}, "source": [ "This concludes our examination of Tune with Aim.\n", - "In the sections to come, you'll find more in-depth information on the API of the Tune-Aim integration.\n", + "The next sections contain more in-depth information on the API of the Tune-Aim integration.\n", "\n", "## Tune Aim API Reference\n", "\n", From 3164826f6c581b03c62983c12ff761ac852460b5 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:51:30 +0100 Subject: [PATCH 31/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index b5463ac16a2ed..91316ec733387 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -21,7 +21,7 @@ "```\n", "\n", "Ray Tune currently offers built-in integration with Aim.\n", - "The {ref}`AimCallback ` allows for automatic logging of metrics reported to Tune to the Aim API.\n", + "The {ref}`AimCallback ` automatically logs metrics and reports them to Tune with the Aim API.\n", "\n", "\n", "```{contents}\n", From 61e1c72bd5252e6c76d39a06dc0b8960eb065292 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:51:39 +0100 Subject: [PATCH 32/68] Update python/ray/tune/logger/aim.py Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 70ec8c666dc5d..f2b4e78830d43 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -44,7 +44,7 @@ class AimCallback(LoggerCallback): experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. Can be used later to query runs/sequences. metrics (:obj:`List[str]`, optional): Specific metrics to track, - if no metric is specified log everything that is reported. + If no metric is specified, log everything that is reported. as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. From d71008243bda08df2afee971a560d83647af6dbd Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:51:50 +0100 Subject: [PATCH 33/68] Update python/ray/tune/logger/aim.py Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index f2b4e78830d43..688d71ca9886e 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -51,7 +51,7 @@ class AimCallback(LoggerCallback): log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, git info, environment variables, etc. - For more arguments please check the aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html + For more arguments please see the Aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) From 394370b44a3420abe1a48a3a5d21c0496aa25b4b Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:52:02 +0100 Subject: [PATCH 34/68] Update python/ray/tune/logger/aim.py Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 688d71ca9886e..77dcf68931ddf 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -43,7 +43,7 @@ class AimCallback(LoggerCallback): If skipped, default Repo is used. experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. Can be used later to query runs/sequences. - metrics (:obj:`List[str]`, optional): Specific metrics to track, + metrics (:obj:`List[str]`, optional): Specific metrics to track. If no metric is specified, log everything that is reported. as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage From 78fa6010713f3868dd1c193ff8df01a3589bc75d Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 12:52:12 +0100 Subject: [PATCH 35/68] Update python/ray/tune/logger/aim.py Co-authored-by: angelinalg <122562471+angelinalg@users.noreply.github.com> Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 77dcf68931ddf..cb96e3d7a1f68 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -33,7 +33,7 @@ class AimCallback(LoggerCallback): Aim is an open-source, self-hosted ML experiment tracking tool. It's good at tracking lots (1000s) of training runs, and it allows you to compare them with a - performant and beautiful UI. + performant and well-designed UI. Source: https://github.com/aimhubio/aim From b355e034bc07ef0d42b8d879a43a90f40efd7481 Mon Sep 17 00:00:00 2001 From: Julian Date: Fri, 3 Feb 2023 13:01:08 +0100 Subject: [PATCH 36/68] Minor adjustments to the docs Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 91316ec733387..b89198496444e 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -21,7 +21,7 @@ "```\n", "\n", "Ray Tune currently offers built-in integration with Aim.\n", - "The {ref}`AimCallback ` automatically logs metrics and reports them to Tune with the Aim API.\n", + "The {ref}`AimCallback ` automatically logs metrics that are reorted to Tune by using the Aim API.\n", "\n", "\n", "```{contents}\n", From 0312a67d65a0e30a65575276f28059bd5e724bd9 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:55:40 +0100 Subject: [PATCH 37/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index cb96e3d7a1f68..9ef11440e6a22 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -74,7 +74,7 @@ def __init__( ) self._repo_path = repo self._experiment_name = experiment - assert bool(metrics) is True or metrics is None + assert bool(metrics) or metrics is None self._metrics = metrics self._as_multirun = as_multirun self._run_cls = Run From a89ca3e3a5b86610bb59eb34d12af5f7baa1e5ab Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:55:52 +0100 Subject: [PATCH 38/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 9ef11440e6a22..0c3ea2159f83d 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -86,7 +86,7 @@ def _create_run(self, trial: "Trial") -> Run: Returns: run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. """ - experiment_dir = str(Path(trial.logdir).parent) + experiment_dir = trial.local_dir run = self._run_cls( repo=self._repo_path or experiment_dir, experiment=self._experiment_name or trial.experiment_dir_name, From 7fe127ef1547d40c2306e16652c1eb16137bff8b Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:56:14 +0100 Subject: [PATCH 39/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 33 +++++++++++++++++++-------------- 1 file changed, 19 insertions(+), 14 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 0c3ea2159f83d..a56dfc192f384 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -38,20 +38,25 @@ class AimCallback(LoggerCallback): Source: https://github.com/aimhubio/aim - Arguments: - repo (:obj:`str`, optional): Aim repository path or Repo object to which Run object is bound. - If skipped, default Repo is used. - experiment (:obj:`str`, optional): Sets Run's `experiment` property. 'default' if not specified. - Can be used later to query runs/sequences. - metrics (:obj:`List[str]`, optional): Specific metrics to track. - If no metric is specified, log everything that is reported. - as_multirun (:obj:`bool`, optional): Enable/Disable creating new runs for each trial. - system_tracking_interval (:obj:`int`, optional): Sets the tracking interval in seconds for system usage - metrics (CPU, Memory, etc.). Set to `None` to disable system metrics tracking. - log_system_params (:obj:`bool`, optional): Enable/Disable logging of system params such as installed packages, - git info, environment variables, etc. - - For more arguments please see the Aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html + """ + Args: + repo: Aim repository directory or a `Repo` object that the Run object will + log results to. If not provided, a default repo will be set up in the + experiment directory (one level above trial directories). + experiment: Sets the `experiment` property of each Run object, which is the + experiment name associated with it. Can be used later to query + runs/sequences. + If not provided, the default will be the Tune experiment name set + by `RunConfig(name=...)`. + metrics: List of metric names (out of the metrics reported by Tune) to + track in Aim. If no metric are specified, log everything that + is reported. + as_multirun: If True, create a new Run for each trial. + **aim_run_kwargs: Additional arguments that will be passed when creating the + individual `Run` objects for each trial. For the full list of arguments, + please see the Aim documentation: + https://aimstack.readthedocs.io/en/latest/refs/sdk.html + """ """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) From b855ff0e08011444ece8edacabcd5c4cf7010f51 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:56:25 +0100 Subject: [PATCH 40/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 1 - 1 file changed, 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index a56dfc192f384..0ddd32adf1e1e 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -16,7 +16,6 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 try: - from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT from aim.sdk import Run except ImportError: DEFAULT_SYSTEM_TRACKING_INT = None From 143404fd3303b4a3f1658e70b9571bc35b66d463 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:56:42 +0100 Subject: [PATCH 41/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: Justin Yu Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index b89198496444e..2a7af9b6c2eb7 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -135,7 +135,7 @@ "metadata": {}, "source": [ "When the script executes, a grid-search is carried out and the results are seamlessly saved to the Aim repo.\n", - "You can access and analyze the results with the user-friendly interface provided by the Aim UI, stored in the `ray_tune` repository." + "You can access and analyze the results with the user-friendly interface provided by the Aim UI, stored at the default location -- the experiment log directory (in this case, it's at `~/ray_results/aim_example`)." ] }, { From 6b08871801b0af9dc4777abce4190e20538b56fe Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:57:02 +0100 Subject: [PATCH 42/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: Justin Yu Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 1 - 1 file changed, 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 2a7af9b6c2eb7..139cbbc68d34a 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -157,7 +157,6 @@ "id": "2f6e9138", "metadata": {}, "source": [ - "This concludes our examination of Tune with Aim.\n", "The next sections contain more in-depth information on the API of the Tune-Aim integration.\n", "\n", "## Tune Aim API Reference\n", From 87ff75f9912bddddf9c369d55de5294870fa377d Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 15:57:12 +0100 Subject: [PATCH 43/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: Justin Yu Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 139cbbc68d34a..3aad08450217b 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -21,7 +21,7 @@ "```\n", "\n", "Ray Tune currently offers built-in integration with Aim.\n", - "The {ref}`AimCallback ` automatically logs metrics that are reorted to Tune by using the Aim API.\n", + "The {ref}`AimCallback ` automatically logs metrics that are reported to Tune by using the Aim API.\n", "\n", "\n", "```{contents}\n", From 96321730feb4678a90b04f308ccfdbb601e544a2 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 16:21:18 +0100 Subject: [PATCH 44/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 0ddd32adf1e1e..b2c9ad2450d64 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -63,7 +63,7 @@ class AimCallback(LoggerCallback): def __init__( self, - repo: Optional[str] = None, + repo: Optional[Union[str, "Repo"]] = None, experiment: Optional[str] = None, metrics: Optional[List[str]] = None, as_multirun: Optional[bool] = False, From 5924080ca77fb3555dd6a9552f34229cb0de66e4 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 16:21:42 +0100 Subject: [PATCH 45/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index b2c9ad2450d64..27f93b246fa64 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -64,7 +64,7 @@ class AimCallback(LoggerCallback): def __init__( self, repo: Optional[Union[str, "Repo"]] = None, - experiment: Optional[str] = None, + experiment_name: Optional[str] = None, metrics: Optional[List[str]] = None, as_multirun: Optional[bool] = False, **aim_run_kwargs From 5374e2935bec34e7371a4da4cd3271eeb487ac16 Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 16:22:53 +0100 Subject: [PATCH 46/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: Justin Yu Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 3aad08450217b..f0b52fa06496f 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -159,7 +159,7 @@ "source": [ "The next sections contain more in-depth information on the API of the Tune-Aim integration.\n", "\n", - "## Tune Aim API Reference\n", + "## Tune Aim Logger API\n", "\n", "### AimCallback\n", "\n", From 7b749e241058d488ab84c6439173a0822a2f2eda Mon Sep 17 00:00:00 2001 From: Julian Date: Mon, 6 Feb 2023 16:23:39 +0100 Subject: [PATCH 47/68] Update doc/source/tune/examples/tune-aim.ipynb Co-authored-by: Justin Yu Signed-off-by: Julian --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index f0b52fa06496f..32a075b26f0aa 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -56,7 +56,7 @@ "id": "9346c0f6", "metadata": {}, "source": [ - "Next, define a simple `train_function` (a Tune `Trainable`) that reports a random loss to Tune.\n", + "Next, define a simple `train_function` (a Tune [`Trainable`](trainable-docs)) that reports a random loss to Tune.\n", "The objective function itself is not important for this example, as our main focus is on the integration with Aim." ] }, From f390ef15ee7468868c6de3c6f7bbed980d699700 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 6 Feb 2023 09:53:03 -0800 Subject: [PATCH 48/68] Fix code in aim.py Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 58 ++++++++++++++++++----------------- 1 file changed, 30 insertions(+), 28 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 27f93b246fa64..b90dcc835f596 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -2,7 +2,7 @@ from pathlib import Path import numpy as np -from typing import TYPE_CHECKING, Dict, Optional, List +from typing import TYPE_CHECKING, Dict, Optional, List, Union from ray.tune.logger.logger import LoggerCallback from ray.tune.result import ( @@ -15,6 +15,7 @@ if TYPE_CHECKING: from ray.tune.experiment.trial import Trial # noqa: F401 + try: from aim.sdk import Run except ImportError: @@ -28,34 +29,31 @@ @PublicAPI class AimCallback(LoggerCallback): - """Aim Logger, logs metrics in Aim format. + """Aim Logger: logs metrics in Aim format. Aim is an open-source, self-hosted ML experiment tracking tool. - It's good at tracking lots (1000s) of training runs, and it allows you to compare them with a - performant and well-designed UI. + It's good at tracking lots (thousands) of training runs, and it allows you to + compare them with a performant and well-designed UI. Source: https://github.com/aimhubio/aim - - """ - Args: - repo: Aim repository directory or a `Repo` object that the Run object will - log results to. If not provided, a default repo will be set up in the - experiment directory (one level above trial directories). - experiment: Sets the `experiment` property of each Run object, which is the - experiment name associated with it. Can be used later to query - runs/sequences. - If not provided, the default will be the Tune experiment name set - by `RunConfig(name=...)`. - metrics: List of metric names (out of the metrics reported by Tune) to - track in Aim. If no metric are specified, log everything that - is reported. - as_multirun: If True, create a new Run for each trial. - **aim_run_kwargs: Additional arguments that will be passed when creating the - individual `Run` objects for each trial. For the full list of arguments, - please see the Aim documentation: - https://aimstack.readthedocs.io/en/latest/refs/sdk.html - """ + Args: + repo: Aim repository directory or a `Repo` object that the Run object will + log results to. If not provided, a default repo will be set up in the + experiment directory (one level above trial directories). + experiment: Sets the `experiment` property of each Run object, which is the + experiment name associated with it. Can be used later to query + runs/sequences. + If not provided, the default will be the Tune experiment name set + by `RunConfig(name=...)`. + metrics: List of metric names (out of the metrics reported by Tune) to + track in Aim. If no metric are specified, log everything that + is reported. + as_multirun: If True, create a new Run for each trial. + **aim_run_kwargs: Additional arguments that will be passed when creating the + individual `Run` objects for each trial. For the full list of arguments, + please see the Aim documentation: + https://aimstack.readthedocs.io/en/latest/refs/sdk.html """ VALID_HPARAMS = (str, bool, int, float, list, type(None)) @@ -67,7 +65,7 @@ def __init__( experiment_name: Optional[str] = None, metrics: Optional[List[str]] = None, as_multirun: Optional[bool] = False, - **aim_run_kwargs + **aim_run_kwargs, ): """ See help(AimCallback) for more information about parameters. @@ -77,7 +75,7 @@ def __init__( " the command: `pip install aim`." ) self._repo_path = repo - self._experiment_name = experiment + self._experiment_name = experiment_name assert bool(metrics) or metrics is None self._metrics = metrics self._as_multirun = as_multirun @@ -94,7 +92,7 @@ def _create_run(self, trial: "Trial") -> Run: run = self._run_cls( repo=self._repo_path or experiment_dir, experiment=self._experiment_name or trial.experiment_dir_name, - **self._aim_run_kwargs + **self._aim_run_kwargs, ) if self._as_multirun: run["trial_id"] = trial.trial_id @@ -177,7 +175,11 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): ): valid_result[attr] = value trial_run.track( - value=value, name=full_attr, epoch=epoch, step=step, context=context + value=value, + name=full_attr, + epoch=epoch, + step=step, + context=context, ) elif (isinstance(value, list) and len(value) > 0) or ( isinstance(value, np.ndarray) and value.size > 0 From d79a72d5c9a010fa9b889e479ad73830c93adadd Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 6 Feb 2023 09:57:38 -0800 Subject: [PATCH 49/68] Rename AimCallback -> AimLoggerCallback Signed-off-by: Justin Yu --- doc/source/tune/api_docs/logging.rst | 2 +- doc/source/tune/examples/tune-aim.ipynb | 392 ++++++++++++------------ python/ray/tune/logger/__init__.py | 4 +- python/ray/tune/logger/aim.py | 4 +- python/ray/tune/tests/test_logger.py | 2 +- 5 files changed, 202 insertions(+), 202 deletions(-) diff --git a/doc/source/tune/api_docs/logging.rst b/doc/source/tune/api_docs/logging.rst index 17f5f55e7f0e5..8730e85854216 100644 --- a/doc/source/tune/api_docs/logging.rst +++ b/doc/source/tune/api_docs/logging.rst @@ -17,7 +17,7 @@ see :ref:`Trainable Logging `. Aim --------- -.. autoclass:: ray.tune.logger.AimCallback +.. autoclass:: ray.tune.logger.AimLoggerCallback Install Aim via ``pip install aim``. See the :doc:`tutorial here ` diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 32a075b26f0aa..7d43a5d9ca78d 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -1,197 +1,197 @@ { - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "ecad719c", - "metadata": {}, - "source": [ - "# Using Aim with Tune\n", - "\n", - "(tune-aim-ref)=\n", - "\n", - "[Aim](https://aimstack.io) is an easy-to-use and supercharged open-source experiment tracker.\n", - "Aim logs your training runs, enables a well-designed UI to compare them, and provides an API to query them programmatically.\n", - "\n", - "```{image} /images/aim_logo_full.png\n", - ":align: center\n", - ":alt: Aim\n", - ":width: 100%\n", - ":target: https://aimstack.io\n", - "```\n", - "\n", - "Ray Tune currently offers built-in integration with Aim.\n", - "The {ref}`AimCallback ` automatically logs metrics that are reported to Tune by using the Aim API.\n", - "\n", - "\n", - "```{contents}\n", - ":backlinks: none\n", - ":local: true\n", - "```\n", - "\n", - "## Running An Aim Example\n", - "\n", - "The following example demonstrates how the `AimCallback` works in a sample project.\n", - "Begin by importing the necessary modules:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "100bcf8a", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "import ray\n", - "from ray import air, tune\n", - "from ray.air import session\n", - "from ray.tune.logger.aim import AimCallback" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "9346c0f6", - "metadata": {}, - "source": [ - "Next, define a simple `train_function` (a Tune [`Trainable`](trainable-docs)) that reports a random loss to Tune.\n", - "The objective function itself is not important for this example, as our main focus is on the integration with Aim." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "e8b4fc4d", - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "def train_function(config):\n", - " for _ in range(50):\n", - " loss = config[\"mean\"] + config[\"sd\"] * np.random.randn()\n", - " session.report({\"loss\": loss})" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "831eed42", - "metadata": {}, - "source": [ - "Here is an example of how you can use the `AimCallback` to set up a simple grid-search Tune run." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "52988599", - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "def tune_with_callback():\n", - " \"\"\"An example of utilizing an AimCallback\"\"\"\n", - " tuner = tune.Tuner(\n", - " train_function,\n", - " tune_config=tune.TuneConfig(\n", - " metric=\"loss\",\n", - " mode=\"min\",\n", - " ),\n", - " run_config=air.RunConfig(\n", - " callbacks=[\n", - " AimCallback(repo=\"ray_tune\", experiment_name=\"ray tune example\", as_multirun=True)\n", - " ]\n", - " ),\n", - " param_space={\n", - " \"mean\": tune.grid_search([1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", - " \"sd\": tune.uniform(0.1, 0.9),\n", - " },\n", - " )\n", - " tuner.fit()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3bc21609", - "metadata": {}, - "outputs": [], - "source": [ - "tune_with_callback()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "941f25f2", - "metadata": {}, - "source": [ - "When the script executes, a grid-search is carried out and the results are seamlessly saved to the Aim repo.\n", - "You can access and analyze the results with the user-friendly interface provided by the Aim UI, stored at the default location -- the experiment log directory (in this case, it's at `~/ray_results/aim_example`)." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "7bb97157", - "metadata": {}, - "source": [ - "```{image} /images/aim_example_metrics_page.png\n", - ":align: center\n", - ":alt: Aim Metrics Explorer\n", - ":target: https://aimstack.readthedocs.io/en/latest/ui/pages/explorers.html#metrics-explorer\n", - "```" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "2f6e9138", - "metadata": {}, - "source": [ - "The next sections contain more in-depth information on the API of the Tune-Aim integration.\n", - "\n", - "## Tune Aim Logger API\n", - "\n", - "### AimCallback\n", - "\n", - "(tune-aim-logger)=\n", - "\n", - "```{eval-rst}\n", - ".. autoclass:: ray.tune.logger.aim.AimCallback\n", - " :noindex:\n", - "```" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.7.7" - }, - "orphan": true - }, - "nbformat": 4, - "nbformat_minor": 5 -} + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "ecad719c", + "metadata": {}, + "source": [ + "# Using Aim with Tune\n", + "\n", + "(tune-aim-ref)=\n", + "\n", + "[Aim](https://aimstack.io) is an easy-to-use and supercharged open-source experiment tracker.\n", + "Aim logs your training runs, enables a well-designed UI to compare them, and provides an API to query them programmatically.\n", + "\n", + "```{image} /images/aim_logo_full.png\n", + ":align: center\n", + ":alt: Aim\n", + ":width: 100%\n", + ":target: https://aimstack.io\n", + "```\n", + "\n", + "Ray Tune currently offers built-in integration with Aim.\n", + "The {ref}`AimLoggerCallback ` automatically logs metrics that are reported to Tune by using the Aim API.\n", + "\n", + "\n", + "```{contents}\n", + ":backlinks: none\n", + ":local: true\n", + "```\n", + "\n", + "## Running An Aim Example\n", + "\n", + "The following example demonstrates how the `AimLoggerCallback` works in a sample project.\n", + "Begin by importing the necessary modules:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "100bcf8a", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "import ray\n", + "from ray import air, tune\n", + "from ray.air import session\n", + "from ray.tune.logger.aim import AimLoggerCallback" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "9346c0f6", + "metadata": {}, + "source": [ + "Next, define a simple `train_function` (a Tune [`Trainable`](trainable-docs)) that reports a random loss to Tune.\n", + "The objective function itself is not important for this example, as our main focus is on the integration with Aim." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e8b4fc4d", + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "def train_function(config):\n", + " for _ in range(50):\n", + " loss = config[\"mean\"] + config[\"sd\"] * np.random.randn()\n", + " session.report({\"loss\": loss})" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "831eed42", + "metadata": {}, + "source": [ + "Here is an example of how you can use the `AimLoggerCallback` to set up a simple grid-search Tune run." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "52988599", + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "def tune_with_callback():\n", + " \"\"\"An example of utilizing an AimLoggerCallback\"\"\"\n", + " tuner = tune.Tuner(\n", + " train_function,\n", + " tune_config=tune.TuneConfig(\n", + " metric=\"loss\",\n", + " mode=\"min\",\n", + " ),\n", + " run_config=air.RunConfig(\n", + " callbacks=[\n", + " AimLoggerCallback(repo=\"ray_tune\", experiment_name=\"ray tune example\", as_multirun=True)\n", + " ]\n", + " ),\n", + " param_space={\n", + " \"mean\": tune.grid_search([1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", + " \"sd\": tune.uniform(0.1, 0.9),\n", + " },\n", + " )\n", + " tuner.fit()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3bc21609", + "metadata": {}, + "outputs": [], + "source": [ + "tune_with_callback()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "941f25f2", + "metadata": {}, + "source": [ + "When the script executes, a grid-search is carried out and the results are seamlessly saved to the Aim repo.\n", + "You can access and analyze the results with the user-friendly interface provided by the Aim UI, stored at the default location -- the experiment log directory (in this case, it's at `~/ray_results/aim_example`)." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "7bb97157", + "metadata": {}, + "source": [ + "```{image} /images/aim_example_metrics_page.png\n", + ":align: center\n", + ":alt: Aim Metrics Explorer\n", + ":target: https://aimstack.readthedocs.io/en/latest/ui/pages/explorers.html#metrics-explorer\n", + "```" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "2f6e9138", + "metadata": {}, + "source": [ + "The next sections contain more in-depth information on the API of the Tune-Aim integration.\n", + "\n", + "## Tune Aim Logger API\n", + "\n", + "### AimLoggerCallback\n", + "\n", + "(tune-aim-logger)=\n", + "\n", + "```{eval-rst}\n", + ".. autoclass:: ray.tune.logger.aim.AimLoggerCallback\n", + " :noindex:\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.7.7" + }, + "orphan": true + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/python/ray/tune/logger/__init__.py b/python/ray/tune/logger/__init__.py index cf9250bf8009f..9585c4eef3bf5 100644 --- a/python/ray/tune/logger/__init__.py +++ b/python/ray/tune/logger/__init__.py @@ -8,7 +8,7 @@ from ray.tune.logger.json import JsonLogger, JsonLoggerCallback from ray.tune.logger.noop import NoopLogger from ray.tune.logger.tensorboardx import TBXLogger, TBXLoggerCallback -from ray.tune.logger.aim import AimCallback +from ray.tune.logger.aim import AimLoggerCallback DEFAULT_LOGGERS = (JsonLogger, CSVLogger, TBXLogger) @@ -27,5 +27,5 @@ "TBXLogger", "TBXLoggerCallback", "UnifiedLogger", - "AimCallback", + "AimLoggerCallback", ] diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index b90dcc835f596..1279e73660324 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -28,7 +28,7 @@ @PublicAPI -class AimCallback(LoggerCallback): +class AimLoggerCallback(LoggerCallback): """Aim Logger: logs metrics in Aim format. Aim is an open-source, self-hosted ML experiment tracking tool. @@ -68,7 +68,7 @@ def __init__( **aim_run_kwargs, ): """ - See help(AimCallback) for more information about parameters. + See help(AimLoggerCallback) for more information about parameters. """ assert Run is not None, ( "aim must be installed!. You can install aim with" diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index cb1fef9880520..e7793cbf69e73 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -16,7 +16,7 @@ CSVLogger, TBXLoggerCallback, TBXLogger, - AimCallback, + AimLoggerCallback, ) from ray.tune.result import ( EXPR_PARAM_FILE, From 2cdca8599db9f8c4e3fb93adddd1460b2b405f10 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 6 Feb 2023 11:37:13 -0800 Subject: [PATCH 50/68] Various cleanups Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 90 ++++++++++++++--------------------- 1 file changed, 36 insertions(+), 54 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 1279e73660324..10401f84c50cb 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -76,20 +76,27 @@ def __init__( ) self._repo_path = repo self._experiment_name = experiment_name - assert bool(metrics) or metrics is None + if not (bool(metrics) or metrics is None): + raise ValueError( + "`metrics` must either contain at least one metric name, or be None, " + "in which case all reported metrics will be logged to the aim repo." + ) self._metrics = metrics self._as_multirun = as_multirun - self._run_cls = Run self._aim_run_kwargs = aim_run_kwargs self._trial_run: Dict["Trial", Run] = {} def _create_run(self, trial: "Trial") -> Run: - """ + """Initializes an Aim Run object for a given trial. + + Args: + trial: The Tune trial that aim will track as a Run. + Returns: - run (:obj:`aim.sdk.Run`): The created aim run for a specific trial. + Run: The created aim run for a specific trial. """ experiment_dir = trial.local_dir - run = self._run_cls( + run = Run( repo=self._repo_path or experiment_dir, experiment=self._experiment_name or trial.experiment_dir_name, **self._aim_run_kwargs, @@ -122,7 +129,7 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems tmp_result = result.copy() - step = result.get(TIMESTEPS_TOTAL) or result[TRAINING_ITERATION] + step = result[TIMESTEPS_TOTAL] or result[TRAINING_ITERATION] for k in ["config", "pid", "timestamp", TIME_TOTAL_S, TRAINING_ITERATION]: if k in tmp_result: @@ -137,54 +144,29 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): path = ["ray", "tune"] - if self._metrics: - flat_result = flatten_dict(tmp_result, delimiter="/") - valid_result = {} - for metric in self._metrics: - full_attr = "/".join(path + [metric]) - value = flat_result[metric] - if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( - value - ): - valid_result[metric] = value - try: - trial_run.track( - value=tmp_result[metric], - epoch=epoch, - name=full_attr, - step=step, - context=context, - ) - except KeyError: - logger.warning( - f"The metric {metric} is specified but not reported." - ) - elif (isinstance(value, list) and len(value) > 0) or ( - isinstance(value, np.ndarray) and value.size > 0 - ): - valid_result[metric] = value - else: - # if no metric is specified log everything that is reported - flat_result = flatten_dict(tmp_result, delimiter="/") - valid_result = {} - - for attr, value in flat_result.items(): - full_attr = "/".join(path + [attr]) - if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not np.isnan( - value - ): - valid_result[attr] = value - trial_run.track( - value=value, - name=full_attr, - epoch=epoch, - step=step, - context=context, - ) - elif (isinstance(value, list) and len(value) > 0) or ( - isinstance(value, np.ndarray) and value.size > 0 - ): - valid_result[attr] = value + flat_result = flatten_dict(tmp_result, delimiter="/") + valid_result = {} + + for attr, value in flat_result.items(): + if self._metrics and attr not in self._metrics: + continue + + full_attr = "/".join(path + [attr]) + if isinstance(value, tuple(VALID_SUMMARY_TYPES)) and not ( + np.isnan(value) or np.isinf(value) + ): + valid_result[attr] = value + trial_run.track( + value=value, + name=full_attr, + epoch=epoch, + step=step, + context=context, + ) + elif (isinstance(value, list) and len(value) > 0) or ( + isinstance(value, np.ndarray) and value.size > 0 + ): + valid_result[attr] = value def log_trial_end(self, trial: "Trial", failed: bool = False): # cleanup in the end From 3b820d8b5a3605f3b3f60d5b09930278bdde3e4b Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 6 Feb 2023 11:39:04 -0800 Subject: [PATCH 51/68] Support tuples, sets Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 10401f84c50cb..a3cdf11e57abb 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -163,7 +163,7 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): step=step, context=context, ) - elif (isinstance(value, list) and len(value) > 0) or ( + elif (isinstance(value, (list, tuple, set)) and len(value) > 0) or ( isinstance(value, np.ndarray) and value.size > 0 ): valid_result[attr] = value From 3fedfeb2c5459ea19c1966d4c456707a78a1155d Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 6 Feb 2023 19:08:28 -0800 Subject: [PATCH 52/68] Fix certain hparam types getting thrown away incorrectly Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 18 ++++++------------ 1 file changed, 6 insertions(+), 12 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index a3cdf11e57abb..4378367b967c4 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -64,7 +64,7 @@ def __init__( repo: Optional[Union[str, "Repo"]] = None, experiment_name: Optional[str] = None, metrics: Optional[List[str]] = None, - as_multirun: Optional[bool] = False, + as_multirun: Optional[bool] = True, **aim_run_kwargs, ): """ @@ -115,21 +115,14 @@ def log_trial_start(self, trial: "Trial"): trial.init_logdir() self._trial_run[trial] = self._create_run(trial) - # log hyperparameters - if trial and trial.evaluated_params: - flat_result = flatten_dict(trial.evaluated_params, delimiter="/") - scrubbed_result = { - k: value - for k, value in flat_result.items() - if isinstance(value, tuple(VALID_SUMMARY_TYPES)) - } - self._log_hparams(trial, scrubbed_result) + if trial.evaluated_params: + self._log_trial_hparams(trial) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): # create local copy to avoid problems tmp_result = result.copy() - step = result[TIMESTEPS_TOTAL] or result[TRAINING_ITERATION] + step = result.get(TIMESTEPS_TOTAL, None) or result[TRAINING_ITERATION] for k in ["config", "pid", "timestamp", TIME_TOTAL_S, TRAINING_ITERATION]: if k in tmp_result: @@ -174,7 +167,8 @@ def log_trial_end(self, trial: "Trial", failed: bool = False): trial_run.close() del trial_run - def _log_hparams(self, trial: "Trial", params: Dict): + def _log_trial_hparams(self, trial: "Trial"): + params = flatten_dict(trial.evaluated_params, delimiter="/") flat_params = flatten_dict(params) scrubbed_params = { From b976e4454f99584742f79d9e58ed7a2651268f5e Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 6 Feb 2023 19:08:44 -0800 Subject: [PATCH 53/68] Improve testing to cover different configuration options Signed-off-by: Justin Yu --- python/ray/tune/tests/test_logger.py | 169 ++++++++++++++++++--------- 1 file changed, 115 insertions(+), 54 deletions(-) diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index e7793cbf69e73..d2dc1560b1c54 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -1,10 +1,11 @@ import csv +from dataclasses import dataclass import glob import json import os -from collections import namedtuple import unittest import tempfile +from typing import Optional import shutil import numpy as np from ray.cloudpickle import cloudpickle @@ -24,9 +25,17 @@ EXPR_PROGRESS_FILE, EXPR_RESULT_FILE, ) +from ray.tune.utils import flatten_dict -class Trial(namedtuple("MockTrial", ["evaluated_params", "trial_id", "logdir"])): +@dataclass +class Trial: + evaluated_params: dict + trial_id: str + logdir: str + local_dir: Optional[str] = None + experiment_dir_name: Optional[str] = None + @property def config(self): return self.evaluated_params @@ -264,72 +273,124 @@ def testBadTBX(self): logger.on_trial_complete(3, [], t) assert "INFO" in cm.output[0] - def testAim(self): - config = { + +class AimLoggerSuite(unittest.TestCase): + """Test Aim integration.""" + + def setUp(self): + self.test_dir = tempfile.mkdtemp() + + def tearDown(self): + shutil.rmtree(self.test_dir, ignore_errors=True) + + def initialize_logger(self, repo=None, experiment_name=None, metrics=None): + try: + from aim import Repo + except ImportError: + print("Skipping rest of test as aim is not installed.") + return + + class Dummy: + pass + + self.config = { "a": 2, "b": [1, 2], - "c": {"c": {"D": 123}}, + "c": {"d": {"e": 123}}, "int32": np.int32(1), "int64": np.int64(2), "bool8": np.bool8(True), "float32": np.float32(3), "float64": np.float64(4), - "bad": np.float128(4), + "bad": Dummy(), } # Test that aim repo is saved to the experiment directory # (one up from the trial directory) as the default trial_logdir = os.path.join(self.test_dir, "trial_logdir") - t = Trial(evaluated_params=config, - trial_id="aim", logdir=self.test_dir) - logger = AimCallback(repo=self.test_dir, experiment="aim_test") - logger.log_trial_start(t) - logger.on_trial_result(0, [], t, result(0, 4)) - logger.on_trial_result(1, [], t, result(1, 5)) - logger.on_trial_result( - 2, [], t, result(2, 6, score=[1, 2, 3], hello={"world": 1}) - ) - - logger.on_trial_complete(3, [], t) - - self._validate_aimresults( - params=(b"float32", b"float64", b"int32", b"int64", b"bool8"), - excluded_params=(b"bad",), + trials = [ + Trial( + evaluated_params=self.config, + trial_id="aim_1", + local_dir=self.test_dir, + logdir=trial_logdir, + experiment_dir_name="aim_test", + ), + Trial( + evaluated_params=self.config, + trial_id="aim_2", + local_dir=self.test_dir, + logdir=trial_logdir, + experiment_dir_name="aim_test", + ), + ] + + repo = repo or self.test_dir + logger = AimLoggerCallback( + repo=repo, experiment_name=experiment_name, metrics=metrics ) - def _validate_aimresults(self, params=None, excluded_params=None): - try: - from aim import Repo - except ImportError: - print("Skipping rest of test as aim is not installed.") - return - - # Check result logs - aim_repo = Repo(self.test_dir) - aim_run = list(aim_repo.iter_runs())[0] - - results = [] - excluded_params = excluded_params or [] - for metric in aim_run.metrics(): - if metric.name == "ray/tune/episode_reward_mean": - results = metric.values.values_list() - - self.assertEqual(len(results), 3) - self.assertSequenceEqual([int(res) for res in results], [4, 5, 6]) - - def testBadAim(self): - config = {"b": (1, 2, 3)} - t = Trial(evaluated_params=config, - trial_id="aim", logdir=self.test_dir) - logger = AimCallback(repo=self.test_dir, experiment="aim_test") - logger.log_trial_start(t) - logger.on_trial_result(0, [], t, result(0, 4)) - logger.on_trial_result(1, [], t, result(1, 5)) - logger.on_trial_result( - 2, [], t, result(2, 6, score=[1, 2, 3], hello={"world": 1}) - ) - with self.assertLogs("ray.tune.logger", level="INFO") as cm: + for i, t in enumerate(trials): + with self.assertLogs("ray.tune.logger", level="INFO") as cm: + logger.log_trial_start(t) + # Check that we log that the "bad" hparam gets thrown away + assert "INFO" in cm.output[0] + + logger.on_trial_result(0, [], t, result(0, 3 * i + 1)) + logger.on_trial_result(1, [], t, result(1, 3 * i + 2)) + logger.on_trial_result( + 2, [], t, result(2, 3 * i + 3, score=[1, 2, 3], hello={"world": 1}) + ) logger.on_trial_complete(3, [], t) - assert "INFO" in cm.output[0] + + aim_repo = Repo(repo) + runs = list(aim_repo.iter_runs()) + assert len(runs) == 2 + runs.sort(key=lambda r: r["trial_id"]) + return runs + + def validateLogs(self, runs: list, metrics: list = None): + expected_logged_hparams = set(flatten_dict(self.config)) - {"bad"} + + for i, run in enumerate(runs): + assert set(run["hparams"]) == expected_logged_hparams + + results = None + all_tune_metrics = set() + for metric in run.metrics(): + if metric.name.startswith("ray/tune/"): + all_tune_metrics.add(metric.name.replace("ray/tune/", "")) + if metric.name == "ray/tune/episode_reward_mean": + results = metric.values.values_list() + + assert results + # Make sure that the set of reported metrics matches with the + # set of metric names passed in + # If None is passed in, then all Tune metrics get reported + assert metrics is None or set(metrics) == all_tune_metrics + + results = [int(res) for res in results] + if i == 0: + self.assertSequenceEqual(results, [1, 2, 3]) + elif i == 1: + self.assertSequenceEqual(results, [4, 5, 6]) + + def testDefault(self): + runs = self.initialize_logger() + self.validateLogs(runs) + assert all([run.experiment == "aim_test" for run in runs]) + + def testFilteredMetrics(self): + metrics_to_log = ("episode_reward_mean",) + runs = self.initialize_logger(metrics=metrics_to_log) + self.validateLogs(runs=runs, metrics=metrics_to_log) + + def testCustomConfigurations(self): + custom_repo = os.path.join(self.test_dir, "custom_repo") + runs = self.initialize_logger(repo=custom_repo, experiment_name="custom") + self.validateLogs(runs) + for run in runs: + assert run.repo.path == os.path.join(custom_repo, ".aim") + assert run.experiment == "custom" if __name__ == "__main__": From 9751b119d01004f5adab2fb95018e1bcf3306b12 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 7 Feb 2023 00:09:57 -0800 Subject: [PATCH 54/68] Fix notebook example Signed-off-by: Justin Yu --- doc/source/tune/examples/tune-aim.ipynb | 290 ++++++++++++++++++++---- 1 file changed, 250 insertions(+), 40 deletions(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 7d43a5d9ca78d..efda840a65089 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -6,10 +6,10 @@ "id": "ecad719c", "metadata": {}, "source": [ - "# Using Aim with Tune\n", - "\n", "(tune-aim-ref)=\n", "\n", + "# Using Aim with Tune\n", + "\n", "[Aim](https://aimstack.io) is an easy-to-use and supercharged open-source experiment tracker.\n", "Aim logs your training runs, enables a well-designed UI to compare them, and provides an API to query them programmatically.\n", "\n", @@ -29,15 +29,26 @@ ":local: true\n", "```\n", "\n", - "## Running An Aim Example\n", + "## Logging Tune Hyperparameter Configurations and Results to Aim\n", "\n", - "The following example demonstrates how the `AimLoggerCallback` works in a sample project.\n", - "Begin by importing the necessary modules:" + "The following example demonstrates how the `AimLoggerCallback` can be used in a Tune experiment.\n", + "Begin by installing and importing the necessary modules:" ] }, { "cell_type": "code", "execution_count": null, + "id": "1290b5b5", + "metadata": {}, + "outputs": [], + "source": [ + "%pip install aim\n", + "%pip install ray[tune]" + ] + }, + { + "cell_type": "code", + "execution_count": 1, "id": "100bcf8a", "metadata": {}, "outputs": [], @@ -56,7 +67,7 @@ "id": "9346c0f6", "metadata": {}, "source": [ - "Next, define a simple `train_function` (a Tune [`Trainable`](trainable-docs)) that reports a random loss to Tune.\n", + "Next, define a simple `train_function`, which is a [`Trainable`](trainable-docs) that reports a loss to Tune.\n", "The objective function itself is not important for this example, as our main focus is on the integration with Aim." ] }, @@ -83,7 +94,8 @@ "id": "831eed42", "metadata": {}, "source": [ - "Here is an example of how you can use the `AimLoggerCallback` to set up a simple grid-search Tune run." + "Here is an example of how you can use the `AimLoggerCallback` with simple grid-search Tune experiment.\n", + "By default, the logger will log each of the 9 grid-search trials as separate Aim runs." ] }, { @@ -95,47 +107,236 @@ "name": "#%%\n" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-02-07 00:04:11,228\tINFO worker.py:1544 -- Started a local Ray instance. View the dashboard at \u001b[1m\u001b[32mhttp://127.0.0.1:8265 \u001b[39m\u001b[22m\n" + ] + }, + { + "data": { + "text/html": [ + "

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Tune Status

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Current time:2023-02-07 00:04:19
Running for: 00:00:06.86
Memory: 32.8/64.0 GiB
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System Info

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Resources requested: 0/10 CPUs, 0/0 GPUs, 0.0/26.93 GiB heap, 0.0/2.0 GiB objects\n", + "
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Trial Status

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Trial name status loc mean sd iter total time (s) loss
train_function_01a3b_00000TERMINATED127.0.0.1:10277 10.385428 50 4.480311.01928
train_function_01a3b_00001TERMINATED127.0.0.1:10296 20.819716 50 2.972723.01491
train_function_01a3b_00002TERMINATED127.0.0.1:10301 30.769197 50 2.395723.87155
train_function_01a3b_00003TERMINATED127.0.0.1:10307 40.29466 50 2.415684.1507
train_function_01a3b_00004TERMINATED127.0.0.1:10313 50.152208 50 1.683835.10225
train_function_01a3b_00005TERMINATED127.0.0.1:10321 60.879814 50 1.540156.20238
train_function_01a3b_00006TERMINATED127.0.0.1:10329 70.487499 50 1.447067.79551
train_function_01a3b_00007TERMINATED127.0.0.1:10333 80.639783 50 1.4261 7.94189
train_function_01a3b_00008TERMINATED127.0.0.1:10341 90.12285 50 1.077018.82304
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Trial Progress

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Trial name date done episodes_total experiment_id experiment_tag hostname iterations_since_restore lossnode_ip pid time_since_restore time_this_iter_s time_total_s timestamp timesteps_since_restoretimesteps_total training_iterationtrial_id warmup_time
train_function_01a3b_000002023-02-07_00-04-18True c8447fdceea6436c9edd6f030a5b1d820_mean=1,sd=0.3854Justins-MacBook-Pro-16 501.01928127.0.0.110277 4.48031 0.013865 4.48031 1675757058 0 5001a3b_00000 0.00264072
train_function_01a3b_000012023-02-07_00-04-18True 7dd6d3ee24244a0885b354c2850647281_mean=2,sd=0.8197Justins-MacBook-Pro-16 503.01491127.0.0.110296 2.97272 0.0584073 2.97272 1675757058 0 5001a3b_00001 0.0316792
train_function_01a3b_000022023-02-07_00-04-18True e3da49ebad034c4b8fdaf0aa87927b1a2_mean=3,sd=0.7692Justins-MacBook-Pro-16 503.87155127.0.0.110301 2.39572 0.0695491 2.39572 1675757058 0 5001a3b_00002 0.0315411
train_function_01a3b_000032023-02-07_00-04-18True 95c60c4f67c4481ebccff25b0a49e75d3_mean=4,sd=0.2947Justins-MacBook-Pro-16 504.1507 127.0.0.110307 2.41568 0.0175381 2.41568 1675757058 0 5001a3b_00003 0.0310779
train_function_01a3b_000042023-02-07_00-04-18True a216253cb41e47caa229e65488deb0194_mean=5,sd=0.1522Justins-MacBook-Pro-16 505.10225127.0.0.110313 1.68383 0.064441 1.68383 1675757058 0 5001a3b_00004 0.00450182
train_function_01a3b_000052023-02-07_00-04-18True 23834104277f476cb99d9c696281fceb5_mean=6,sd=0.8798Justins-MacBook-Pro-16 506.20238127.0.0.110321 1.54015 0.00910306 1.54015 1675757058 0 5001a3b_00005 0.0480251
train_function_01a3b_000062023-02-07_00-04-18True 15f650121df747c3bd2720481d47b2656_mean=7,sd=0.4875Justins-MacBook-Pro-16 507.79551127.0.0.110329 1.44706 0.00600386 1.44706 1675757058 0 5001a3b_00006 0.00202489
train_function_01a3b_000072023-02-07_00-04-19True 78b1673cf2034ed99135b80a0cb31e0e7_mean=8,sd=0.6398Justins-MacBook-Pro-16 507.94189127.0.0.110333 1.4261 0.00225306 1.4261 1675757059 0 5001a3b_00007 0.00209713
train_function_01a3b_000082023-02-07_00-04-19True c7f5d86154cb46b6aa27bef523edcd6f8_mean=9,sd=0.1228Justins-MacBook-Pro-16 508.82304127.0.0.110341 1.07701 0.00291467 1.07701 1675757059 0 5001a3b_00008 0.00240111
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\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2023-02-07 00:04:19,366\tINFO tune.py:798 -- Total run time: 7.38 seconds (6.85 seconds for the tuning loop).\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "def tune_with_callback():\n", - " \"\"\"An example of utilizing an AimLoggerCallback\"\"\"\n", - " tuner = tune.Tuner(\n", - " train_function,\n", - " tune_config=tune.TuneConfig(\n", - " metric=\"loss\",\n", - " mode=\"min\",\n", - " ),\n", - " run_config=air.RunConfig(\n", - " callbacks=[\n", - " AimLoggerCallback(repo=\"ray_tune\", experiment_name=\"ray tune example\", as_multirun=True)\n", - " ]\n", - " ),\n", - " param_space={\n", - " \"mean\": tune.grid_search([1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", - " \"sd\": tune.uniform(0.1, 0.9),\n", - " },\n", - " )\n", - " tuner.fit()" + "tuner = tune.Tuner(\n", + " train_function,\n", + " run_config=air.RunConfig(\n", + " callbacks=[AimLoggerCallback()],\n", + " local_dir=\"/tmp/ray_results\",\n", + " name=\"aim_example\",\n", + " ),\n", + " param_space={\n", + " \"mean\": tune.grid_search([1, 2, 3, 4, 5, 6, 7, 8, 9]),\n", + " \"sd\": tune.uniform(0.1, 0.9),\n", + " },\n", + " tune_config=tune.TuneConfig(\n", + " metric=\"loss\",\n", + " mode=\"min\",\n", + " ),\n", + ")\n", + "tuner.fit()\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "941f25f2", + "metadata": {}, + "source": [ + "When the script executes, a grid-search is carried out and the results are saved to the Aim repo,\n", + "stored at the default location -- the experiment log directory (in this case, it's at `/tmp/ray_results/aim_example`).\n", + "\n", + "### More Configuration Options for Aim\n", + "\n", + "In the example above, we used the default configuration for the `AimLoggerCallback`.\n", + "There are a few options that can be configured as arguments to the callback. For example,\n", + "setting `AimLoggerCallback(repo=\"/path/to/repo\")` will log results to the Aim repo at that\n", + "filepath, which could be useful if you have a central location where the results of multiple\n", + "Tune experiments are stored. Relative paths to the working directory where Tune script is\n", + "launched can be used as well. By default, the repo will be set to the experiment log\n", + "directory. See [the API reference](tune-aim-logger) for more configurations.\n", + "\n", + "## Launching the Aim UI\n", + "\n", + "Now that we have logged our results to the Aim repository, we can view it in Aim's web UI.\n", + "To do this, we first find the directory where the Aim repository lives, then we use\n", + "the Aim CLI to launch the web interface." ] }, { "cell_type": "code", - "execution_count": null, - "id": "3bc21609", + "execution_count": 7, + "id": "880f55aa", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--------------------------------------------------------------------------\n", + " Aim UI collects anonymous usage analytics. \n", + " Read how to opt-out here: \n", + " https://aimstack.readthedocs.io/en/latest/community/telemetry.html \n", + "--------------------------------------------------------------------------\n", + "\u001b[33mRunning Aim UI on repo ``\u001b[0m\n", + "Open http://127.0.0.1:43800\n", + "Press Ctrl+C to exit\n", + "^C\n" + ] + } + ], "source": [ - "tune_with_callback()" + "# Uncomment the following line to launch the Aim UI!\n", + "#!aim up --repo=/tmp/ray_results/aim_example" ] }, { "attachments": {}, "cell_type": "markdown", - "id": "941f25f2", + "id": "adbe661a", "metadata": {}, "source": [ - "When the script executes, a grid-search is carried out and the results are seamlessly saved to the Aim repo.\n", - "You can access and analyze the results with the user-friendly interface provided by the Aim UI, stored at the default location -- the experiment log directory (in this case, it's at `~/ray_results/aim_example`)." + "After launching the Aim UI, we can open the web interface at `localhost:43800`." ] }, { @@ -161,8 +362,6 @@ "\n", "## Tune Aim Logger API\n", "\n", - "### AimLoggerCallback\n", - "\n", "(tune-aim-logger)=\n", "\n", "```{eval-rst}\n", @@ -170,11 +369,17 @@ " :noindex:\n", "```" ] + }, + { + "cell_type": "markdown", + "id": "0ebd1904", + "metadata": {}, + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "ray_dev_py38", "language": "python", "name": "python3" }, @@ -188,10 +393,15 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.7" + "version": "3.8.13" }, - "orphan": true + "orphan": true, + "vscode": { + "interpreter": { + "hash": "265d195fda5292fe8f69c6e37c435a5634a1ed3b6799724e66a975f68fa21517" + } + } }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +} From 210701a85975eccceb217ff3a69990813518cc65 Mon Sep 17 00:00:00 2001 From: Julian Date: Tue, 7 Feb 2023 13:45:12 +0100 Subject: [PATCH 55/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 4378367b967c4..bcab64b02c042 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -84,7 +84,7 @@ def __init__( self._metrics = metrics self._as_multirun = as_multirun self._aim_run_kwargs = aim_run_kwargs - self._trial_run: Dict["Trial", Run] = {} + self._trial_run: Dict[str, Run] = {} def _create_run(self, trial: "Trial") -> Run: """Initializes an Aim Run object for a given trial. From c1c79970f3a61a2df1929e9e983719899a96c5ee Mon Sep 17 00:00:00 2001 From: Julian Date: Tue, 7 Feb 2023 13:45:30 +0100 Subject: [PATCH 56/68] Update python/ray/tune/logger/aim.py Co-authored-by: Justin Yu Signed-off-by: Julian --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index bcab64b02c042..533a494c71461 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -128,7 +128,7 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): if k in tmp_result: del tmp_result[k] # not useful to log these - context = tmp_result.pop("context", None) + context = tmp_result.pop("context", {}) epoch = tmp_result.pop("epoch", None) trial_run = self._get_trial_run(trial) From a4d41e96fbdd8dfd2e3574e96396346848b324cf Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 7 Feb 2023 09:55:44 -0800 Subject: [PATCH 57/68] Remove as_multirun flag Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 54 ++++++++++++++--------------------- 1 file changed, 22 insertions(+), 32 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 4378367b967c4..f2b52f9aebd6a 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -1,5 +1,4 @@ import logging -from pathlib import Path import numpy as np from typing import TYPE_CHECKING, Dict, Optional, List, Union @@ -17,10 +16,9 @@ from ray.tune.experiment.trial import Trial # noqa: F401 try: - from aim.sdk import Run + from aim.sdk import Repo, Run except ImportError: - DEFAULT_SYSTEM_TRACKING_INT = None - Run = None + Repo, Run = None, None logger = logging.getLogger(__name__) @@ -49,7 +47,6 @@ class AimLoggerCallback(LoggerCallback): metrics: List of metric names (out of the metrics reported by Tune) to track in Aim. If no metric are specified, log everything that is reported. - as_multirun: If True, create a new Run for each trial. **aim_run_kwargs: Additional arguments that will be passed when creating the individual `Run` objects for each trial. For the full list of arguments, please see the Aim documentation: @@ -64,7 +61,6 @@ def __init__( repo: Optional[Union[str, "Repo"]] = None, experiment_name: Optional[str] = None, metrics: Optional[List[str]] = None, - as_multirun: Optional[bool] = True, **aim_run_kwargs, ): """ @@ -82,9 +78,8 @@ def __init__( "in which case all reported metrics will be logged to the aim repo." ) self._metrics = metrics - self._as_multirun = as_multirun self._aim_run_kwargs = aim_run_kwargs - self._trial_run: Dict["Trial", Run] = {} + self._trial_to_run: Dict["Trial", Run] = {} def _create_run(self, trial: "Trial") -> Run: """Initializes an Aim Run object for a given trial. @@ -101,40 +96,41 @@ def _create_run(self, trial: "Trial") -> Run: experiment=self._experiment_name or trial.experiment_dir_name, **self._aim_run_kwargs, ) - if self._as_multirun: - run["trial_id"] = trial.trial_id + # Attach a few useful trial properties + run["trial_id"] = trial.trial_id + run["trial_log_dir"] = trial.logdir + if trial.remote_checkpoint_dir: + run["trial_remote_log_dir"] = trial.remote_checkpoint_dir + trial_ip = trial.get_runner_ip() + if trial_ip: + run["trial_ip"] = trial_ip return run def log_trial_start(self, trial: "Trial"): - if self._as_multirun: - if trial in self._trial_run: - self._trial_run[trial].close() - elif self._trial_run: - return + if trial in self._trial_to_run: + # Cleanup an existing run if the trial has been restarted + self._trial_to_run[trial].close() trial.init_logdir() - self._trial_run[trial] = self._create_run(trial) + self._trial_to_run[trial] = self._create_run(trial) if trial.evaluated_params: self._log_trial_hparams(trial) def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): - # create local copy to avoid problems tmp_result = result.copy() step = result.get(TIMESTEPS_TOTAL, None) or result[TRAINING_ITERATION] for k in ["config", "pid", "timestamp", TIME_TOTAL_S, TRAINING_ITERATION]: - if k in tmp_result: - del tmp_result[k] # not useful to log these + tmp_result.pop(k, None) # not useful to log these + # `context` and `epoch` are special keys that users can report, + # which are treated as special aim metrics/configurations. context = tmp_result.pop("context", None) epoch = tmp_result.pop("epoch", None) - trial_run = self._get_trial_run(trial) - if not self._as_multirun: - context["trial"] = trial.trial_id - + trial_run = self._trial_to_run[trial] path = ["ray", "tune"] flat_result = flatten_dict(tmp_result, delimiter="/") @@ -162,10 +158,8 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): valid_result[attr] = value def log_trial_end(self, trial: "Trial", failed: bool = False): - # cleanup in the end - trial_run = self._get_trial_run(trial) + trial_run = self._trial_to_run.pop(trial) trial_run.close() - del trial_run def _log_trial_hparams(self, trial: "Trial"): params = flatten_dict(trial.evaluated_params, delimiter="/") @@ -194,9 +188,5 @@ def _log_trial_hparams(self, trial: "Trial"): str(removed), ) - self._trial_run[trial]["hparams"] = scrubbed_params - - def _get_trial_run(self, trial): - if not self._as_multirun: - return list(self._trial_run.values())[0] - return self._trial_run[trial] + run = self._trial_to_run[trial] + run["hparams"] = scrubbed_params From 19ce007547fc763ece4c9a20c2049400fae1b4a5 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 7 Feb 2023 09:58:35 -0800 Subject: [PATCH 58/68] Fix merge Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 8dad510300c94..71d02a4af631d 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -13,7 +13,7 @@ from ray.util.annotations import PublicAPI if TYPE_CHECKING: - from ray.tune.experiment.trial import Trial # noqa: F401 + from ray.tune.experiment.trial import Trial try: from aim.sdk import Repo, Run @@ -79,11 +79,7 @@ def __init__( ) self._metrics = metrics self._aim_run_kwargs = aim_run_kwargs -<<<<<<< HEAD self._trial_to_run: Dict["Trial", Run] = {} -======= - self._trial_run: Dict[str, Run] = {} ->>>>>>> c1c79970f3a61a2df1929e9e983719899a96c5ee def _create_run(self, trial: "Trial") -> Run: """Initializes an Aim Run object for a given trial. @@ -129,13 +125,9 @@ def log_trial_result(self, iteration: int, trial: "Trial", result: Dict): for k in ["config", "pid", "timestamp", TIME_TOTAL_S, TRAINING_ITERATION]: tmp_result.pop(k, None) # not useful to log these -<<<<<<< HEAD # `context` and `epoch` are special keys that users can report, # which are treated as special aim metrics/configurations. context = tmp_result.pop("context", None) -======= - context = tmp_result.pop("context", {}) ->>>>>>> c1c79970f3a61a2df1929e9e983719899a96c5ee epoch = tmp_result.pop("epoch", None) trial_run = self._trial_to_run[trial] From 6b7295a3a044d10384ce4b31aa55b8d0c28e21e2 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 7 Feb 2023 10:00:43 -0800 Subject: [PATCH 59/68] Add aim as a Tune dependency Signed-off-by: Justin Yu --- python/requirements/ml/requirements_tune.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/python/requirements/ml/requirements_tune.txt b/python/requirements/ml/requirements_tune.txt index 73e70dd2b53f7..4d094581c04a9 100644 --- a/python/requirements/ml/requirements_tune.txt +++ b/python/requirements/ml/requirements_tune.txt @@ -1,5 +1,6 @@ -r requirements_dl.txt +aim==3.16.0 ax-platform==0.1.9; python_version < '3.7' ax-platform==0.2.4; python_version >= '3.7' bayesian-optimization==1.2.0 From ae163bf3993bb56693155a10da46a378f70bcd75 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 7 Feb 2023 10:02:32 -0800 Subject: [PATCH 60/68] Check that aim callback can be imported from ray.tune.logger Signed-off-by: Justin Yu --- doc/source/tune/examples/tune-aim.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index efda840a65089..d1e93e170ec4b 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 9, "id": "100bcf8a", "metadata": {}, "outputs": [], @@ -58,7 +58,7 @@ "import ray\n", "from ray import air, tune\n", "from ray.air import session\n", - "from ray.tune.logger.aim import AimLoggerCallback" + "from ray.tune.logger import AimLoggerCallback" ] }, { From 0c7fafed3e5cb298eb3b589a939395fe51407a3b Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Tue, 7 Feb 2023 12:54:49 -0800 Subject: [PATCH 61/68] Fix formatting for kwargs in docstring Signed-off-by: Justin Yu --- python/ray/tune/logger/aim.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ray/tune/logger/aim.py b/python/ray/tune/logger/aim.py index 71d02a4af631d..595e0041b6318 100644 --- a/python/ray/tune/logger/aim.py +++ b/python/ray/tune/logger/aim.py @@ -47,7 +47,7 @@ class AimLoggerCallback(LoggerCallback): metrics: List of metric names (out of the metrics reported by Tune) to track in Aim. If no metric are specified, log everything that is reported. - **aim_run_kwargs: Additional arguments that will be passed when creating the + aim_run_kwargs: Additional arguments that will be passed when creating the individual `Run` objects for each trial. For the full list of arguments, please see the Aim documentation: https://aimstack.readthedocs.io/en/latest/refs/sdk.html From 7a394310fe5fe836a5c4bcd45fa5ae4b9b3613d3 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Mon, 27 Feb 2023 08:39:33 -0800 Subject: [PATCH 62/68] Pin aim to 3.16.1 w/ versioning patch fix for CI to pass Signed-off-by: Justin Yu --- python/requirements/ml/requirements_tune.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/requirements/ml/requirements_tune.txt b/python/requirements/ml/requirements_tune.txt index 2b745a0f95a67..6cafc84a1af86 100644 --- a/python/requirements/ml/requirements_tune.txt +++ b/python/requirements/ml/requirements_tune.txt @@ -1,6 +1,6 @@ -r requirements_dl.txt -aim==3.16.0 +aim==3.16.1 ax-platform==0.1.9; python_version < '3.7' ax-platform==0.2.4; python_version >= '3.7' bayesian-optimization==1.2.0 From 04d0b1ed512bc8534356b8190fba3545bf8efe70 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Wed, 1 Mar 2023 16:37:03 -0800 Subject: [PATCH 63/68] Fix aim logger tests Signed-off-by: Justin Yu --- python/ray/tune/tests/test_logger.py | 26 ++++++++++++++++++++++---- 1 file changed, 22 insertions(+), 4 deletions(-) diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index d2dc1560b1c54..181edcc2afea7 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -8,8 +8,9 @@ from typing import Optional import shutil import numpy as np -from ray.cloudpickle import cloudpickle +import ray +from ray.cloudpickle import cloudpickle from ray.tune.logger import ( CSVLoggerCallback, JsonLoggerCallback, @@ -35,6 +36,7 @@ class Trial: logdir: str local_dir: Optional[str] = None experiment_dir_name: Optional[str] = None + remote_checkpoint_dir: Optional[str] = None @property def config(self): @@ -46,6 +48,9 @@ def init_logdir(self): def __hash__(self): return hash(self.trial_id) + def get_runner_ip(self) -> str: + return ray.util.get_node_ip_address() + def result(t, rew, **kwargs): results = dict( @@ -304,8 +309,6 @@ class Dummy: "float64": np.float64(4), "bad": Dummy(), } - # Test that aim repo is saved to the experiment directory - # (one up from the trial directory) as the default trial_logdir = os.path.join(self.test_dir, "trial_logdir") trials = [ Trial( @@ -314,6 +317,7 @@ class Dummy: local_dir=self.test_dir, logdir=trial_logdir, experiment_dir_name="aim_test", + remote_checkpoint_dir="s3://bucket/aim_test/trial_0_logdir", ), Trial( evaluated_params=self.config, @@ -321,9 +325,13 @@ class Dummy: local_dir=self.test_dir, logdir=trial_logdir, experiment_dir_name="aim_test", + remote_checkpoint_dir="s3://bucket/aim_test/trial_1_logdir", ), ] + # Test that aim repo is saved to the experiment directory + # (one up from the trial directory) as the default. + # In this example, this is `self.test_dir`. repo = repo or self.test_dir logger = AimLoggerCallback( repo=repo, experiment_name=experiment_name, metrics=metrics @@ -353,6 +361,8 @@ def validateLogs(self, runs: list, metrics: list = None): for i, run in enumerate(runs): assert set(run["hparams"]) == expected_logged_hparams + assert run.get("trial_remote_log_dir") + assert run.get("trial_ip") results = None all_tune_metrics = set() @@ -375,16 +385,24 @@ def validateLogs(self, runs: list, metrics: list = None): self.assertSequenceEqual(results, [4, 5, 6]) def testDefault(self): + """Test AimLoggerCallback with default settings. + - Req: a repo gets created at the experiment-level directory. + - Req: the experiment param passed into each aim Run is the Tune experiment name + """ runs = self.initialize_logger() self.validateLogs(runs) - assert all([run.experiment == "aim_test" for run in runs]) + for run in runs: + assert run.repo.path == os.path.join(self.test_dir, ".aim") + assert run.experiment == "aim_test" def testFilteredMetrics(self): + """Test AimLoggerCallback, logging only a subset of metrics.""" metrics_to_log = ("episode_reward_mean",) runs = self.initialize_logger(metrics=metrics_to_log) self.validateLogs(runs=runs, metrics=metrics_to_log) def testCustomConfigurations(self): + """Test AimLoggerCallback, setting a custom repo and experiment name.""" custom_repo = os.path.join(self.test_dir, "custom_repo") runs = self.initialize_logger(repo=custom_repo, experiment_name="custom") self.validateLogs(runs) From 01a65415602696315ffc42bfecba5b98b22e55e2 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Wed, 1 Mar 2023 16:58:38 -0800 Subject: [PATCH 64/68] Update docs to follow new format Signed-off-by: Justin Yu --- doc/source/_toc.yml | 8 +-- doc/source/tune/api/logging.rst | 86 ++++++++++++++++++--------------- 2 files changed, 52 insertions(+), 42 deletions(-) diff --git a/doc/source/_toc.yml b/doc/source/_toc.yml index 276b734a5b16b..b38ad40390d57 100644 --- a/doc/source/_toc.yml +++ b/doc/source/_toc.yml @@ -199,14 +199,14 @@ parts: title: "Huggingface Example" - file: tune/examples/experiment-tracking sections: - - file: tune/examples/tune-aim - title: "Aim Example" - - file: tune/examples/tune-comet - title: "Comet Example" - file: tune/examples/tune-wandb title: "Weights & Biases Example" - file: tune/examples/tune-mlflow title: "MLflow Example" + - file: tune/examples/tune-aim + title: "Aim Example" + - file: tune/examples/tune-comet + title: "Comet Example" - file: tune/examples/hpo-frameworks sections: - file: tune/examples/ax_example diff --git a/doc/source/tune/api/logging.rst b/doc/source/tune/api/logging.rst index 7c6dc0c4c13e1..045c82dd5216e 100644 --- a/doc/source/tune/api/logging.rst +++ b/doc/source/tune/api/logging.rst @@ -10,36 +10,33 @@ If you need to log something lower level like model weights or gradients, see :ref:`Trainable Logging `. .. note:: - Tune's per-trial ``Logger`` classes have been deprecated. They can still be used, but we encourage you - to use our new interface with the ``LoggerCallback`` class instead. - -Aim ---------- - -.. autoclass:: ray.tune.logger.AimLoggerCallback + Tune's per-trial ``Logger`` classes have been deprecated. They can still be used, but we encourage you + to use the ``LoggerCallback`` interface instead. -Install Aim via ``pip install aim``. -See the :doc:`tutorial here ` -Viskit ------- +.. currentmodule:: ray -Tune automatically integrates with `Viskit `_ via the ``CSVLoggerCallback`` outputs. -To use VisKit (you may have to install some dependencies), run: +.. _logger-interface: -.. code-block:: bash +LoggerCallback Interface (tune.logger.LoggerCallback) +----------------------------------------------------- - $ git clone https://github.com/rll/rllab.git - $ python rllab/rllab/viskit/frontend.py ~/ray_results/my_experiment +.. autosummary:: + :toctree: doc/ + :template: autosummary/class_with_autosummary.rst -The non-relevant metrics (like timing stats) can be disabled on the left to show only the -relevant ones (like accuracy, loss, etc.). + ~tune.logger.LoggerCallback -.. image:: ../images/ray-tune-viskit.png +.. autosummary:: + :toctree: doc/ + ~tune.logger.LoggerCallback.log_trial_start + ~tune.logger.LoggerCallback.log_trial_restore + ~tune.logger.LoggerCallback.log_trial_save + ~tune.logger.LoggerCallback.log_trial_result + ~tune.logger.LoggerCallback.log_trial_end -.. currentmodule:: ray Tune Built-in Loggers --------------------- @@ -52,46 +49,59 @@ Tune Built-in Loggers tune.logger.TBXLoggerCallback -MLFlow Integration: MLFlowLoggerCallback ----------------------------------------- +MLFlow Integration +------------------ Tune also provides a logger for `MLflow `_. You can install MLflow via ``pip install mlflow``. -You can see the :doc:`tutorial here `. +See the :doc:`tutorial here `. .. autosummary:: :toctree: doc/ air.integrations.mlflow.MLflowLoggerCallback -Wandb Integration: WandbLoggerCallback --------------------------------------- +Wandb Integration +----------------- Tune also provides a logger for `Weights & Biases `_. You can install Wandb via ``pip install wandb``. -You can see the :doc:`tutorial here `. +See the :doc:`tutorial here `. .. autosummary:: :toctree: doc/ air.integrations.wandb.WandbLoggerCallback -.. _logger-interface: +Aim Integration +--------------- -LoggerCallback Interface (tune.logger.LoggerCallback) ------------------------------------------------------ +Tune also provides a logger for the `Aim `_ experiment tracker. +You can install Aim via ``pip install aim``. +See the :doc:`tutorial here ` .. autosummary:: :toctree: doc/ - :template: autosummary/class_with_autosummary.rst - ~tune.logger.LoggerCallback + ~tune.logger.AimLoggerCallback -.. autosummary:: - :toctree: doc/ - ~tune.logger.LoggerCallback.log_trial_start - ~tune.logger.LoggerCallback.log_trial_restore - ~tune.logger.LoggerCallback.log_trial_save - ~tune.logger.LoggerCallback.log_trial_result - ~tune.logger.LoggerCallback.log_trial_end +Other Integrations +------------------ + +Viskit +~~~~~~ + +Tune automatically integrates with `Viskit `_ via the ``CSVLoggerCallback`` outputs. +To use VisKit (you may have to install some dependencies), run: + +.. code-block:: bash + + $ git clone https://github.com/rll/rllab.git + $ python rllab/rllab/viskit/frontend.py ~/ray_results/my_experiment + +The non-relevant metrics (like timing stats) can be disabled on the left to show only the +relevant ones (like accuracy, loss, etc.). + +.. image:: ../images/ray-tune-viskit.png + From c2ecbd0db69d804f85560ee8bab6748abe3d75e5 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Wed, 1 Mar 2023 17:00:13 -0800 Subject: [PATCH 65/68] Fix text in user guide Signed-off-by: Justin Yu --- doc/source/tune/examples/tune-aim.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index d1e93e170ec4b..78eee1a6617b4 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -95,7 +95,7 @@ "metadata": {}, "source": [ "Here is an example of how you can use the `AimLoggerCallback` with simple grid-search Tune experiment.\n", - "By default, the logger will log each of the 9 grid-search trials as separate Aim runs." + "The logger will log each of the 9 grid-search trials as separate Aim runs." ] }, { From 6c94f370fb08df6480e7227c08adfe10918a7f26 Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Thu, 2 Mar 2023 11:04:21 -0800 Subject: [PATCH 66/68] Don't import aim callback by default Signed-off-by: Justin Yu --- python/ray/tune/logger/__init__.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/python/ray/tune/logger/__init__.py b/python/ray/tune/logger/__init__.py index 9585c4eef3bf5..052d5cb9da862 100644 --- a/python/ray/tune/logger/__init__.py +++ b/python/ray/tune/logger/__init__.py @@ -8,7 +8,6 @@ from ray.tune.logger.json import JsonLogger, JsonLoggerCallback from ray.tune.logger.noop import NoopLogger from ray.tune.logger.tensorboardx import TBXLogger, TBXLoggerCallback -from ray.tune.logger.aim import AimLoggerCallback DEFAULT_LOGGERS = (JsonLogger, CSVLogger, TBXLogger) @@ -27,5 +26,4 @@ "TBXLogger", "TBXLoggerCallback", "UnifiedLogger", - "AimLoggerCallback", ] From 29d1caae1d8cf12512ec3689fa63a0d9ad32499b Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Thu, 2 Mar 2023 11:57:12 -0800 Subject: [PATCH 67/68] Fix module path in API ref Signed-off-by: Justin Yu --- doc/source/tune/api/logging.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/tune/api/logging.rst b/doc/source/tune/api/logging.rst index 045c82dd5216e..4ff786a67f7ce 100644 --- a/doc/source/tune/api/logging.rst +++ b/doc/source/tune/api/logging.rst @@ -83,7 +83,7 @@ See the :doc:`tutorial here ` .. autosummary:: :toctree: doc/ - ~tune.logger.AimLoggerCallback + ~tune.logger.aim.AimLoggerCallback Other Integrations From 6b02036c00944fd2435ec28af69ffe38225a71db Mon Sep 17 00:00:00 2001 From: Justin Yu Date: Thu, 2 Mar 2023 14:33:57 -0800 Subject: [PATCH 68/68] Fix tests + example imports Signed-off-by: Justin Yu --- doc/source/tune/examples/tune-aim.ipynb | 2 +- python/ray/tune/tests/test_logger.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/source/tune/examples/tune-aim.ipynb b/doc/source/tune/examples/tune-aim.ipynb index 78eee1a6617b4..1f6833b310778 100644 --- a/doc/source/tune/examples/tune-aim.ipynb +++ b/doc/source/tune/examples/tune-aim.ipynb @@ -58,7 +58,7 @@ "import ray\n", "from ray import air, tune\n", "from ray.air import session\n", - "from ray.tune.logger import AimLoggerCallback" + "from ray.tune.logger.aim import AimLoggerCallback" ] }, { diff --git a/python/ray/tune/tests/test_logger.py b/python/ray/tune/tests/test_logger.py index 181edcc2afea7..0a35be6015acc 100644 --- a/python/ray/tune/tests/test_logger.py +++ b/python/ray/tune/tests/test_logger.py @@ -18,8 +18,8 @@ CSVLogger, TBXLoggerCallback, TBXLogger, - AimLoggerCallback, ) +from ray.tune.logger.aim import AimLoggerCallback from ray.tune.result import ( EXPR_PARAM_FILE, EXPR_PARAM_PICKLE_FILE,

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