add tests to hf accelerate dvclivetracker

tests/frameworks/test_huggingface.py

@@ -10,6 +10,7 @@
 try:
     import numpy as np
     import torch
+    from accelerate import Accelerator
     from torch import nn
     from transformers import (
         PretrainedConfig,
@@ -18,7 +19,7 @@
         TrainingArguments,
     )
 
-    from dvclive.huggingface import DVCLiveCallback
+    from dvclive.huggingface import DVCLiveCallback, DVCLiveTracker
 except ImportError:
     pytest.skip("skipping huggingface tests", allow_module_level=True)
 
@@ -182,3 +183,34 @@ def test_huggingface_pass_logger():
 
     assert DVCLiveCallback().live is not logger
     assert DVCLiveCallback(live=logger).live is logger
+
+
+def test_accelerate_tracker():
+    tracker = DVCLiveTracker(dir="test_dir")
+    accelerator = Accelerator(log_with=tracker)
+    config = {
+        "num_iterations": 12,
+        "learning_rate": 1e-2,
+        "some_boolean": False,
+        "some_string": "some_value",
+    }
+    accelerator.init_trackers("test_project", config=config)
+    values = {"total_loss": 0.1, "iteration": 1, "my_text": "some_value"}
+    accelerator.log(values, step=0)
+    accelerator.end_training()
+
+    # Check kwargs passed
+    live = accelerator.trackers[0].live
+    assert live.dir == "test_dir"
+
+    # Check params logged
+    params = load_yaml(live.params_file)
+    assert params == config
+
+    # Check metrics logged
+    logs, latest = parse_metrics(live)
+    assert latest == values
+    scalars = os.path.join(live.plots_dir, Metric.subfolder)
+    assert os.path.join(scalars, "total_loss.tsv") in logs
+    assert os.path.join(scalars, "iteration.tsv") in logs
+    assert os.path.join(scalars, "my_text.tsv") in logs