From 488a823f64d436b3cce8936928780e8825b18862 Mon Sep 17 00:00:00 2001 From: Aliaksandr Kuzmik <98702584+alexkuzmik@users.noreply.github.com> Date: Wed, 15 May 2024 18:04:44 +0200 Subject: [PATCH 1/2] New integration - CometMonitor (#5466) This PR introduces a new monitoring option - `CometMonitor` which comes up as an official integration with [CometML](https://www.comet.com/site/). The new monitor is covered with unit tests. Notes: * We've updated `docs/code-docs/source/monitor.rst` but it doesn't look used anymore * We've updated the "Monitoring Module" section name in `config-json.md` to be generic so the next integration won't require updating it. --------- Co-authored-by: Boris Feld Co-authored-by: Logan Adams <114770087+loadams@users.noreply.github.com> --- deepspeed/monitor/comet.py | 92 +++++++++++++++++++++++++++ deepspeed/monitor/config.py | 69 +++++++++++++++++++- deepspeed/monitor/monitor.py | 6 ++ deepspeed/monitor/utils.py | 13 ++++ docs/_data/navigation.yml | 2 +- docs/_pages/config-json.md | 37 ++++++++++- docs/_tutorials/monitor.md | 15 ++++- docs/assets/images/comet_monitor.png | Bin 0 -> 258147 bytes docs/code-docs/source/monitor.rst | 5 ++ requirements/requirements-dev.txt | 1 + tests/unit/monitor/test_monitor.py | 67 +++++++++++++++++++ 11 files changed, 298 insertions(+), 9 deletions(-) create mode 100644 deepspeed/monitor/comet.py create mode 100644 docs/assets/images/comet_monitor.png diff --git a/deepspeed/monitor/comet.py b/deepspeed/monitor/comet.py new file mode 100644 index 000000000000..d8bc4017800f --- /dev/null +++ b/deepspeed/monitor/comet.py @@ -0,0 +1,92 @@ +# Copyright (c) Microsoft Corporation. +# SPDX-License-Identifier: Apache-2.0 + +# DeepSpeed Team + +from typing import TYPE_CHECKING, Any, Tuple, List, Dict, Optional + +from .utils import check_comet_availability +from .monitor import Monitor + +import deepspeed.comm as dist + +if TYPE_CHECKING: + import comet_ml + from .config import CometConfig + +Name = str +Value = Any +GlobalSamples = int +Event = Tuple[Name, Value, GlobalSamples] + + +class CometMonitor(Monitor): + + def __init__(self, comet_config: "CometConfig"): + super().__init__(comet_config) + check_comet_availability() + import comet_ml + + self.enabled = comet_config.enabled + self._samples_log_interval = comet_config.samples_log_interval + self._experiment: Optional["comet_ml.ExperimentBase"] = None + + if self.enabled and dist.get_rank() == 0: + self._experiment = comet_ml.start( + api_key=comet_config.api_key, + project=comet_config.project, + workspace=comet_config.workspace, + experiment_key=comet_config.experiment_key, + mode=comet_config.mode, + online=comet_config.online, + ) + + if comet_config.experiment_name is not None: + self._experiment.set_name(comet_config.experiment_name) + + self._events_log_scheduler = EventsLogScheduler(comet_config.samples_log_interval) + + @property + def experiment(self) -> Optional["comet_ml.ExperimentBase"]: + return self._experiment + + @property + def samples_log_interval(self) -> int: + return self._samples_log_interval + + def write_events(self, event_list: List[Event]) -> None: + if not self.enabled or dist.get_rank() != 0: + return None + + for event in event_list: + name = event[0] + value = event[1] + engine_global_samples = event[2] + + if self._events_log_scheduler.needs_logging(name, engine_global_samples): + self._experiment.__internal_api__log_metric__( + name=name, + value=value, + step=engine_global_samples, + ) + + +class EventsLogScheduler: + + def __init__(self, samples_log_interval: int): + self._samples_log_interval = samples_log_interval + self._last_logged_events_samples: Dict[str, int] = {} + + def needs_logging(self, name: str, current_sample: int) -> bool: + if name not in self._last_logged_events_samples: + self._last_logged_events_samples[name] = current_sample + return True + + last_logged_sample = self._last_logged_events_samples[name] + samples_delta = current_sample - last_logged_sample + + if samples_delta >= self._samples_log_interval: + self._last_logged_events_samples[name] = current_sample + return True + + return False diff --git a/deepspeed/monitor/config.py b/deepspeed/monitor/config.py index 5a8ca6ecf5cd..d422d3b1b9bb 100644 --- a/deepspeed/monitor/config.py +++ b/deepspeed/monitor/config.py @@ -3,12 +3,14 @@ # DeepSpeed Team +from typing import Optional + from deepspeed.pydantic_v1 import root_validator from deepspeed.runtime.config_utils import DeepSpeedConfigModel def get_monitor_config(param_dict): - monitor_dict = {key: param_dict.get(key, {}) for key in ("tensorboard", "wandb", "csv_monitor")} + monitor_dict = {key: param_dict.get(key, {}) for key in ("tensorboard", "wandb", "csv_monitor", "comet")} return DeepSpeedMonitorConfig(**monitor_dict) @@ -60,12 +62,75 @@ class CSVConfig(DeepSpeedConfigModel): """ Name for the current job. This will become a new directory inside `output_path`. """ +class CometConfig(DeepSpeedConfigModel): + """ + Sets parameters for Comet monitor. For logging data Comet uses + experiment object. + https://www.comet.com/docs/v2/api-and-sdk/python-sdk/reference/Experiment/ + """ + + enabled: bool = False + """ Whether logging to Comet is enabled. Requires `comet_ml` package is installed. """ + + samples_log_interval: int = 100 + """ Metrics will be submitted to Comet after processing every `samples_log_intervas` samples""" + + project: Optional[str] = None + """ + Comet project name. Can be set through .comet.config file or environment variable COMET_PROJECT_NAME + https://www.comet.com/docs/v2/guides/experiment-management/configure-sdk/#explore-comet-configuration-options + """ + + workspace: Optional[str] = None + """ + Comet workspace name. Can be set through .comet.config file or environment variable COMET_WORKSPACE + https://www.comet.com/docs/v2/guides/experiment-management/configure-sdk/#explore-comet-configuration-options + """ + + api_key: Optional[str] = None + """ + Comet API key. Can be set through .comet.config file or environment variable COMET_API_KEY + https://www.comet.com/docs/v2/guides/experiment-management/configure-sdk/#explore-comet-configuration-options + """ + + experiment_name: Optional[str] = None + """ + The name for comet experiment to be used for logging. + Can be set through .comet.config file or environment variable COMET_EXPERIMENT_NAME + https://www.comet.com/docs/v2/guides/experiment-management/configure-sdk/#explore-comet-configuration-options + """ + + experiment_key: Optional[str] = None + """ + The key for comet experiment to be used for logging. Must be an alphanumeric string whose length is between 32 and 50 characters. + Can be set through .comet.config or environment variable COMET_EXPERIMENT_KEY + https://www.comet.com/docs/v2/guides/experiment-management/configure-sdk/#explore-comet-configuration-options + """ + + online: Optional[bool] = None + """ + If True, the data will be logged to Comet server, otherwise it will be stored locally in offline experiment + Defaults to True. + """ + + mode: Optional[str] = None + """ + Control how the Comet experiment is started, 3 options are possible.: + - "get": Continue logging to an existing experiment identified by the `experiment_key` value. + - "create": Always creates of a new experiment, useful for HPO sweeps. + - "get_or_create" (default): Starts a fresh experiment if required, or persists logging to an existing one. + """ + + class DeepSpeedMonitorConfig(DeepSpeedConfigModel): """Sets parameters for various monitoring methods.""" tensorboard: TensorBoardConfig = {} """ TensorBoard monitor, requires `tensorboard` package is installed. """ + comet: CometConfig = {} + """ Comet monitor, requires `comet_ml` package is installed """ + wandb: WandbConfig = {} """ WandB monitor, requires `wandb` package is installed. """ @@ -75,5 +140,5 @@ class DeepSpeedMonitorConfig(DeepSpeedConfigModel): @root_validator def check_enabled(cls, values): values["enabled"] = values.get("tensorboard").enabled or values.get("wandb").enabled or values.get( - "csv_monitor").enabled + "csv_monitor").enabled or values.get("comet") return values diff --git a/deepspeed/monitor/monitor.py b/deepspeed/monitor/monitor.py index 5a32b8bbcadd..e7e26dc483d9 100644 --- a/deepspeed/monitor/monitor.py +++ b/deepspeed/monitor/monitor.py @@ -24,6 +24,7 @@ def write_events(self, event_list): from .wandb import WandbMonitor from .tensorboard import TensorBoardMonitor from .csv_monitor import csvMonitor +from .comet import CometMonitor class MonitorMaster(Monitor): @@ -33,6 +34,7 @@ def __init__(self, monitor_config): self.tb_monitor = None self.wandb_monitor = None self.csv_monitor = None + self.comet_monitor = None self.enabled = monitor_config.enabled if dist.get_rank() == 0: @@ -42,6 +44,8 @@ def __init__(self, monitor_config): self.wandb_monitor = WandbMonitor(monitor_config.wandb) if monitor_config.csv_monitor.enabled: self.csv_monitor = csvMonitor(monitor_config.csv_monitor) + if monitor_config.comet.enabled: + self.comet_monitor = CometMonitor(monitor_config.comet) def write_events(self, event_list): if dist.get_rank() == 0: @@ -51,3 +55,5 @@ def write_events(self, event_list): self.wandb_monitor.write_events(event_list) if self.csv_monitor is not None: self.csv_monitor.write_events(event_list) + if self.comet_monitor is not None: + self.comet_monitor.write_events(event_list) diff --git a/deepspeed/monitor/utils.py b/deepspeed/monitor/utils.py index 265fc9811553..f5530e8532e1 100644 --- a/deepspeed/monitor/utils.py +++ b/deepspeed/monitor/utils.py @@ -3,6 +3,8 @@ # DeepSpeed Team +from packaging import version as pkg_version + def check_tb_availability(): try: @@ -22,3 +24,14 @@ def check_wandb_availability(): 'If you want to use wandb logging, please `pip install wandb` and follow the instructions at https://docs.wandb.ai/quickstart' ) raise + + +def check_comet_availability(): + try: + import comet_ml + comet_version = pkg_version.parse(comet_ml.__version__) + if comet_version < pkg_version.Version("3.41.0"): + raise ImportError("`comet_ml` must have at least version 3.41.0") + except ImportError: + print('If you want to use comet logging, please `pip install "comet_ml>=3.41.0"`') + raise diff --git a/docs/_data/navigation.yml b/docs/_data/navigation.yml index 217d56c14812..3bd3e451ab49 100755 --- a/docs/_data/navigation.yml +++ b/docs/_data/navigation.yml @@ -41,7 +41,7 @@ lnav: - title: 'Flops Profiler' url: /docs/config-json/#flops-profiler - title: 'Monitoring' - url: /docs/config-json/#monitoring-module-tensorboard-wandb-csv + url: /docs/config-json/#monitoring-module - title: 'Communication Logging' url: /docs/config-json/#communication-logging - title: 'Model Compression' diff --git a/docs/_pages/config-json.md b/docs/_pages/config-json.md index abe314cbb1a6..adb2f1679ea0 100755 --- a/docs/_pages/config-json.md +++ b/docs/_pages/config-json.md @@ -1139,15 +1139,16 @@ DeepSpeed Data Efficiency Library includes two techniques: curriculum learning a | ---------------------------------------------------------------------------------------------------------------------------- | ------- | | List of which step to change difficulty level. One of the `schedule_config` when the `fixed_discrete` schedule_type is used. | N/A | -### Monitoring Module (TensorBoard, WandB, CSV) +### Monitoring Module **Note:** Deepspeed logs to TensorBoard through PyTorch. Logging to TensorBoard requires that the `tensorboard` package is installed (read more in the [PyTorch documentation](https://pytorch.org/docs/1.8.0/tensorboard.html)). {: .notice--warning} **Note:** Logging to WandB requires that the `wandb` package is installed (read more in the [WandB documentation](https://docs.wandb.ai/quickstart)). {: .notice--warning} +**Note:** Logging to Comet requires that the `comet_ml` package is installed (read more in the [Comet documentation](https://www.comet.com/docs/v2/guides/quickstart/#1-install-and-configure-the-comet-ml-sdk)). +{: .notice--warning} - -Deepspeed's Monitor module can log training details into a [Tensorboard](https://www.tensorflow.org/tensorboard)-compatible file, to [WandB](https://wandb.ai/site), or to simple CSV files. Below is an overview of what DeepSpeed will log automatically. +Deepspeed's Monitor module can log training details into a [Tensorboard](https://www.tensorflow.org/tensorboard)-compatible file, to [WandB](https://wandb.ai/site), to [Comet](https://www.comet.com/site/?utm_source=deepseed&utm_medium=docs&utm_content=docs) or to simple CSV files. Below is an overview of what DeepSpeed will log automatically. | Field | Description |Conditions | | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | @@ -1201,6 +1202,36 @@ Example of **wandb** configuration: } ``` +**comet**: [dictionary] + +| Fields | Value | Default | +|--- |--- |--- | +| enabled | Whether logging to [Comet](https://www.comet.com/site/) is enabled. | `false` | +| workspace | Comet workspace name. | `None` | +| project | Comet project name. | `None` | +| samples_log_interval | Metrics will be submitted to Comet after processing every `samples_log_intervas` samples. | `100` | +| experiment_name | The name for comet experiment to be used for logging. | `None` | +| api_key | Comet API key. It's not recommended to save the Comet API Key in code. | `None` | +| experiment_key | The key for comet experiment to be used for logging. Must be an alphanumeric string whose length is between 32 and 50 characters. | `None` | +| online | If True, the data will be logged to Comet server, otherwise it will be stored locally in offline experiment. Default is `True`. | `None` | +| mode | Control how the Comet experiment is started. "get": Continue logging to an existing experiment identified by the `experiment_key` value. "create": Always creates of a new experiment, useful for HPO sweeps. "get_or_create" (default): Starts a fresh experiment if required, or persists logging to an existing one. | `None` | + + +Example of **comet** configuration: + +```json +"comet": { + "enabled": true, + "workspace": "my_workspace", + "project": "my_project", + "samples_log_interval": 50, + "experiment_name": "llama-fine-tuning", + "experiment_key": "0c4a1c4a90664f2a8084e600b19a9d7", + "online": false, + "mode": "get", +} +``` + **csv_monitor**: [dictionary] | Fields | Value |Default | diff --git a/docs/_tutorials/monitor.md b/docs/_tutorials/monitor.md index a9c111f8eeec..572e3f4558a7 100644 --- a/docs/_tutorials/monitor.md +++ b/docs/_tutorials/monitor.md @@ -11,7 +11,7 @@ In this tutorial, we introduce the DeepSpeed Monitor and provide examples of its ## Overview -Monitoring model and system metrics during training is vital to ensure hardware resources are fully utilized. The DeepSpeed Monitor enables live logging of metrics through one or more monitoring backends such as PyTorch's [TensorBoard](https://pytorch.org/docs/1.8.0/tensorboard.html), [WandB](https://docs.wandb.ai/quickstart), and simple CSV files. +Monitoring model and system metrics during training is vital to ensure hardware resources are fully utilized. The DeepSpeed Monitor enables live logging of metrics through one or more monitoring backends such as PyTorch's [TensorBoard](https://pytorch.org/docs/1.8.0/tensorboard.html), [WandB](https://docs.wandb.ai/quickstart), [Comet](https://www.comet.com/site/?utm_source=deepseed&utm_medium=docs&utm_content=tutorial) and simple CSV files. Below is a live monitoring view for TensorBoard: @@ -21,16 +21,20 @@ Below is a live monitoring view for WandB: ![WandB Example Output](/assets/images/wandb_monitor.PNG){: .align-center} +Below is a live monitoring view for Comet: + +![CometML Example Output](/assets/images/comet_monitor.png){: .align-center} + ## Usage -The DeepSpeed Monitor is configured within the deepspeed [configuration file](/docs/config-json/#monitoring-module-tensorboard-wandb-csv). DeepSpeed will automatically monitor key training metrics, including those tracked with the `wall_clock_breakdown` configuration option. In addition, users can log their own custom events and metrics. +The DeepSpeed Monitor is configured within the deepspeed [configuration file](/docs/config-json/#monitoring-module). DeepSpeed will automatically monitor key training metrics, including those tracked with the `wall_clock_breakdown` configuration option. In addition, users can log their own custom events and metrics. - [Automatic Monitoring](#automatic-monitoring) - [Custom Monitoring](#custom-monitoring) ### Automatic Monitoring -When using DeepSpeed for model training, the Monitor can be configured in the DeepSpeed [configuration file](/docs/config-json/#monitoring-module-tensorboard-wandb-csv). No explicit API calls are needed to use the Monitor. The Monitor can be enabled by adding the following field to DeepSpeed's configuration json file. Refer to [Monitoring](/docs/config-json/#monitoring-module-tensorboard-wandb-csv) for details. +When using DeepSpeed for model training, the Monitor can be configured in the DeepSpeed [configuration file](/docs/config-json/#monitoring-module). No explicit API calls are needed to use the Monitor. The Monitor can be enabled by adding the following field to DeepSpeed's configuration json file. Refer to [Monitoring](/docs/config-json/#monitoring-module) for details. ```json { @@ -45,6 +49,11 @@ When using DeepSpeed for model training, the Monitor can be configured in the De "group": "my_group", "project": "my_project" } + "comet": { + "enabled": true, + "project": "my_project", + "experiment_name": "my_experiment" + } "csv_monitor": { "enabled": true, "output_path": "output/ds_logs/", diff --git a/docs/assets/images/comet_monitor.png b/docs/assets/images/comet_monitor.png new file mode 100644 index 0000000000000000000000000000000000000000..83564cd5f1eb7812badba79e0eb15f7d6bb6d5d8 GIT binary patch literal 258147 zcmdqIbyOWs*DeTw;2PZB-5nAjNP;8~+}+*v1PCq%cMb0D?(RVkZU?sm2ZzZ!ckXw8 z_kF+lZ`Q0?vsbUxRozw9wW_=Je)h9>hksL&MMoh8k2r?&@LWYzAXt?_g)f=3?S(W@hhV>EL<+ z*De0H5#zraNjaMtxmr2cQ~t2BGlMbl_F$#t=A*Rnu%hJVfjP4EB2Lz2HjN!9+r0PH23nH zLbJ$~9lO@1HQVL|kU5LDOWrp|#YsA}r5<$M4+{A2i7dA75Gmp6R+6}%x(uqluF{33 zMZrQAQ=%3jkSy>OGaDP*XX!mD@He4|L^zy 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zB)c`<{S_JcsV60D!q!s@(da1O-En`Pc~FSJ;G@8h)^>R$?l@Q4kkuA_hL~r@L+=~F zrw6qA?(RCCy?HBUh5LMN`6e6V+g&e<*S(QdqgH0ZT_9raN@otPxKdO!ex^ICj=Knlx1P~#2PU;A!{g6r9 zk7pMJ1eDV4;Ktans5|1o7Ra=!$s?O;nGM*~g%{%=3.41.0 deepspeed-kernels ; sys_platform == 'linux' docutils<0.18 future diff --git a/tests/unit/monitor/test_monitor.py b/tests/unit/monitor/test_monitor.py index 3e04bebfb6c1..d4b3cf43921d 100644 --- a/tests/unit/monitor/test_monitor.py +++ b/tests/unit/monitor/test_monitor.py @@ -7,10 +7,14 @@ from deepspeed.monitor.wandb import WandbMonitor from deepspeed.monitor.csv_monitor import csvMonitor from deepspeed.monitor.config import DeepSpeedMonitorConfig +from deepspeed.monitor.comet import CometMonitor from unit.common import DistributedTest +from unittest.mock import Mock, patch from deepspeed.runtime.config import DeepSpeedConfig +import deepspeed.comm as dist + class TestTensorBoard(DistributedTest): world_size = 2 @@ -97,3 +101,66 @@ def test_empty_csv_monitor(self): assert csv_monitor.enabled == defaults.enabled assert csv_monitor.output_path == defaults.output_path assert csv_monitor.job_name == defaults.job_name + + +class TestCometMonitor(DistributedTest): + world_size = 2 + + def test_comet_monitor(self): + import comet_ml + mock_experiment = Mock() + mock_start = Mock(return_value=mock_experiment) + + config_dict = { + "train_batch_size": 2, + "comet": { + "enabled": True, + "samples_log_interval": 42, + "workspace": "some-workspace", + "project": "some-project", + "api_key": "some-api-key", + "experiment_name": "some-experiment-name", + "experiment_key": "some-experiment-key", + "mode": "get_or_create", + "online": True + } + } + + ds_config = DeepSpeedConfig(config_dict) + + with patch.object(comet_ml, "start", mock_start): + comet_monitor = CometMonitor(ds_config.monitor_config.comet) + + assert comet_monitor.enabled is True + assert comet_monitor.samples_log_interval == 42 + + # experiment should be initialized via comet_ml.start only if rank == 0 + if dist.get_rank() == 0: + mock_start.assert_called_once_with( + api_key="some-api-key", + project="some-project", + workspace="some-workspace", + experiment_key="some-experiment-key", + mode="get_or_create", + online=True, + ) + + mock_experiment.set_name.assert_called_once_with("some-experiment-name") + assert comet_monitor.experiment is mock_experiment + else: + mock_start.assert_not_called() + + def test_empty_comet(self): + import comet_ml + mock_start = Mock() + + config_dict = {"train_batch_size": 2, "comet": {}} + ds_config = DeepSpeedConfig(config_dict) + + with patch.object(comet_ml, "start", mock_start): + comet_monitor = CometMonitor(ds_config.monitor_config.comet) + + defaults = DeepSpeedMonitorConfig().comet + assert comet_monitor.enabled == defaults.enabled + assert comet_monitor.samples_log_interval == defaults.samples_log_interval + mock_start.assert_not_called() From 23173faa4b571c308bcc0d929c8c18905371ed63 Mon Sep 17 00:00:00 2001 From: Nadav Elyahu <88962733+nelyahu@users.noreply.github.com> Date: Wed, 15 May 2024 21:06:36 +0300 Subject: [PATCH 2/2] Improve _configure_optimizer() final optimizer log (#5528) Was providing the optimizer name which was configured, and not optimizer that was actually taking place after this function processing. This is not always aligned. Co-authored-by: Logan Adams <114770087+loadams@users.noreply.github.com> --- deepspeed/runtime/engine.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deepspeed/runtime/engine.py b/deepspeed/runtime/engine.py index 34263444c1b7..13f335cae6d5 100644 --- a/deepspeed/runtime/engine.py +++ b/deepspeed/runtime/engine.py @@ -1263,7 +1263,7 @@ def _configure_optimizer(self, client_optimizer, model_parameters): else: self.optimizer = basic_optimizer - log_dist("DeepSpeed Final Optimizer = {}".format(self.optimizer_name()), ranks=[0]) + log_dist("DeepSpeed Final Optimizer = {}".format(self.optimizer.__class__.__name__), ranks=[0]) self.compression_scheduler = self._configure_compression_scheduler() self.quantizer = self._configure_quantization()