From 4ea567adbacfac8a8fda10eb0926194a0778b906 Mon Sep 17 00:00:00 2001 From: SikongJueluo Date: Sun, 17 May 2026 14:18:51 +0800 Subject: [PATCH] feat(compressors): add JSONL training metrics logging with CLI controls - Add write_training_metrics() in new compressors/training_metrics.py for appending epoch/step/lr/component rows as JSON Lines - Wire --metrics-path and --log-every CLI options into train.py, passing them to the training loop so metrics rows are written every N steps - Accept absolute metrics paths or paths relative to output directory - Add quantization component to loss log alongside existing distill/contrastive - Replace inline torch.device() with get_device() utility - Add test_hash_training_metrics.py covering multi-row JSONL append Infrastructure: - Pin torch 2.7.1 + CUDA 12.8 index for Linux/Windows in pyproject.toml - Add .justfile rsync upload recipe with .stignore exclusion - Exclude **/__marimo__ from rsync in .stignore Dependencies updated: numpy 2.4.5, pandas 3.0.3, black 26.5.0, click 8.4.0, contourpy, etc. --- .justfile | 6 + .stignore | 1 + mini-nav/commands/train.py | 13 + mini-nav/compressors/train.py | 29 +- mini-nav/compressors/training_metrics.py | 37 + pyproject.toml | 20 + tests/test_hash_training_metrics.py | 61 ++ uv.lock | 1228 +++++++++++++--------- 8 files changed, 864 insertions(+), 531 deletions(-) create mode 100644 mini-nav/compressors/training_metrics.py create mode 100644 tests/test_hash_training_metrics.py diff --git a/.justfile b/.justfile index 1d28a67..3b37c56 100644 --- a/.justfile +++ b/.justfile @@ -4,6 +4,12 @@ export MSYS2_ARG_CONV_EXCL := "*" export MSYS2_ENV_CONV_EXCL := "*" remote_ssh_target := env("REMOTE_SSH_TARGET") remote_docker_container := env("REMOTE_DOCKER_CONTAINER") +remote_root := "$REMOTE_SSH_TARGET:$REMOTE_WORKDIR" +rsync_flags := "-avLh --progress --stats --itemize-changes" +upload_excludes := "--exclude-from=.stignore" + +upload: + rsync {{ rsync_flags }} {{ upload_excludes }} . {{ remote_root }}/; \ sync-pkgs: uv sync --inexact diff --git a/.stignore b/.stignore index c61d905..2622256 100644 --- a/.stignore +++ b/.stignore @@ -14,3 +14,4 @@ outputs .sisyphus **/__pycache__ **/sim_build +**/__marimo__ diff --git a/mini-nav/commands/train.py b/mini-nav/commands/train.py index 221d169..bb0daee 100644 --- a/mini-nav/commands/train.py +++ b/mini-nav/commands/train.py @@ -11,6 +11,17 @@ def train( checkpoint_path: str = typer.Option( "hash_checkpoint.pt", "--checkpoint", "-c", help="Checkpoint path" ), + metrics_path: str = typer.Option( + "hash_training_metrics.jsonl", + "--metrics-path", + "-m", + help="JSONL metrics path for loss curves; relative to output directory unless absolute", + ), + log_every: int = typer.Option( + 1, + "--log-every", + help="Write one metrics row every N global steps; <=0 disables metrics logging", + ), ): from compressors import train as train_module @@ -19,4 +30,6 @@ def train( batch_size=batch_size, lr=lr, checkpoint_path=checkpoint_path, + metrics_path=metrics_path, + log_every=log_every, ) diff --git a/mini-nav/compressors/train.py b/mini-nav/compressors/train.py index 905e6c4..1fbb664 100644 --- a/mini-nav/compressors/train.py +++ b/mini-nav/compressors/train.py @@ -5,13 +5,14 @@ import os import torch import torch.nn.functional as F from compressors import HashCompressor, HashLoss +from compressors.training_metrics import write_training_metrics from configs import cfg_manager +from datasets import load_dataset +from rich.progress import BarColumn, Progress, TextColumn, TimeRemainingColumn from torch import nn from torch.utils.data import DataLoader -from rich.progress import Progress, BarColumn, TextColumn, TimeRemainingColumn from transformers import AutoImageProcessor, AutoModel - -from datasets import load_dataset +from utils import get_device def save_checkpoint(model: nn.Module, optimizer, epoch, step, path="checkpoint.pt"): @@ -48,6 +49,8 @@ def train( batch_size: int = 64, lr: float = 1e-4, checkpoint_path: str = "hash_checkpoint.pt", + metrics_path: str = "hash_training_metrics.jsonl", + log_every: int = 1, ): """Train hash compressor with batch-level retrieval loss. @@ -56,9 +59,11 @@ def train( batch_size: Batch size for training lr: Learning rate checkpoint_path: Path to save/load checkpoints + metrics_path: JSONL metrics path, relative to output directory unless absolute + log_every: Write metrics every N global steps; values <= 0 disable metrics logging """ # Auto detect device - device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + device = get_device() # Global variables save_every = 500 @@ -98,6 +103,10 @@ def train( # Auto load checkpoint output_dir = cfg_manager.get().output.directory + metrics_file = output_dir / metrics_path + if os.path.isabs(metrics_path): + metrics_file = metrics_path + if os.path.exists(output_dir / checkpoint_path): start_epoch, global_step = load_checkpoint( compressor, optimizer, output_dir / checkpoint_path @@ -160,9 +169,19 @@ def train( description=f"Epoch [{epoch + 1}/{epoch_size}] " f"loss={components['total']:.4f} " f"cont={components['contrastive']:.2f} " - f"distill={components['distill']:.3f}", + f"distill={components['distill']:.3f} " + f"quant={components['quantization']:.3f}", ) + if log_every > 0 and global_step % log_every == 0: + write_training_metrics( + metrics_file, + epoch=epoch + 1, + step=global_step, + lr=optimizer.param_groups[0]["lr"], + components=components, + ) + # ---- periodic save ---- if global_step % save_every == 0: save_checkpoint( diff --git a/mini-nav/compressors/training_metrics.py b/mini-nav/compressors/training_metrics.py new file mode 100644 index 0000000..3b00cbb --- /dev/null +++ b/mini-nav/compressors/training_metrics.py @@ -0,0 +1,37 @@ +"""Utilities for recording hash compressor training metrics.""" + +from __future__ import annotations + +import json +from pathlib import Path +from typing import Mapping + + +def write_training_metrics( + path: str | Path, + *, + epoch: int, + step: int, + lr: float, + components: Mapping[str, float], +) -> None: + """Append one training metrics row as JSON Lines. + + The JSONL format keeps training logging cheap and easy to resume: every + training step is an independent row that plotting scripts can stream later. + """ + metrics_path = Path(path) + metrics_path.parent.mkdir(parents=True, exist_ok=True) + + row = { + "epoch": int(epoch), + "step": int(step), + "lr": float(lr), + "total": float(components["total"]), + "contrastive": float(components["contrastive"]), + "distill": float(components["distill"]), + "quantization": float(components["quantization"]), + } + + with metrics_path.open("a", encoding="utf-8") as f: + f.write(json.dumps(row, ensure_ascii=False) + "\n") diff --git a/pyproject.toml b/pyproject.toml index 8d2bf8b..554c6a0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,6 +22,9 @@ dependencies = [ "scikit-learn>=1.7.2", "transformers>=5.0.0", "typer>=0.24.1", + "torch==2.7.1", + "torchvision==0.22.1", + "torchaudio==2.7.1", ] [dependency-groups] @@ -38,6 +41,23 @@ dev = [ "cocotb-tools>=0.1.0", ] +[[tool.uv.index]] +name = "pytorch-cu128" +url = "https://download.pytorch.org/whl/cu128" +explicit = true + +[tool.uv.sources] +torch = [ + { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, +] +torchvision = [ + { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, +] +torchaudio = [ + { index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, +] + + [tool.ty.environment] python = "$UV_PROJECT_ENVIRONMENT" root = ["./mini-nav", "./notebooks", "./hw/sim", "./scripts"] diff --git a/tests/test_hash_training_metrics.py b/tests/test_hash_training_metrics.py new file mode 100644 index 0000000..38e0208 --- /dev/null +++ b/tests/test_hash_training_metrics.py @@ -0,0 +1,61 @@ +import json +import sys +from pathlib import Path + + +COMPRESSORS_DIR = Path(__file__).resolve().parents[1] / "mini-nav" / "compressors" +sys.path.insert(0, str(COMPRESSORS_DIR)) + +from training_metrics import write_training_metrics # noqa: E402 + + +def test_write_training_metrics_appends_jsonl_rows(tmp_path): + metrics_path = tmp_path / "hash_training_metrics.jsonl" + + write_training_metrics( + metrics_path, + epoch=2, + step=17, + lr=1e-4, + components={ + "total": 1.25, + "contrastive": 0.75, + "distill": 0.4, + "quantization": 0.1, + }, + ) + write_training_metrics( + metrics_path, + epoch=2, + step=18, + lr=1e-4, + components={ + "total": 1.0, + "contrastive": 0.6, + "distill": 0.3, + "quantization": 0.1, + }, + ) + + rows = [json.loads(line) for line in metrics_path.read_text().splitlines()] + + assert rows == [ + { + "epoch": 2, + "step": 17, + "lr": 1e-4, + "total": 1.25, + "contrastive": 0.75, + "distill": 0.4, + "quantization": 0.1, + }, + { + "epoch": 2, + "step": 18, + "lr": 1e-4, + "total": 1.0, + "contrastive": 0.6, + "distill": 0.3, + "quantization": 0.1, + }, + ] diff --git a/uv.lock b/uv.lock index 1079722..30b7eca 100644 --- a/uv.lock +++ b/uv.lock @@ -4,11 +4,21 @@ requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'win32'", "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'win32'", - "python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.11' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", - "python_full_version < '3.11'", + "python_full_version >= '3.14' and sys_platform == 'linux'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version == '3.11.*' and sys_platform == 'emscripten'", + "(python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.14' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and platform_python_implementation != 'CPython' and sys_platform == 'linux')", + "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and platform_python_implementation != 'CPython' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')", + "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation == 'CPython' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform != 'linux' and sys_platform != 'win32'", ] [[package]] @@ -18,12 +28,13 @@ source = { registry = 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