fix(litlogger): skip nan or inf when logging metrics (#57)

Author: k223kim

.github/workflows/ci-examples.yaml

@@ -19,59 +19,59 @@ jobs:
       matrix:
         include:
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "guest"
             name: "standalone_usage.py"
             extra_packages: ""
             run: "uv run python examples/standalone_usage.py"
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "user"
             name: "standalone_usage.py"
             extra_packages: ""
             run: "uv run python examples/standalone_usage.py"
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "guest"
             name: "file_media_model_usage.py"
             extra_packages: ""
             run: "uv run python examples/file_media_model_usage.py"
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "user"
             name: "file_media_model_usage.py"
             extra_packages: ""
             run: "uv run python examples/file_media_model_usage.py"
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "guest"
             name: "lightning_autoencoder.py"
             extra_packages: ""
             run: "uv run python examples/lightning_autoencoder.py"
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "user"
             name: "lightning_autoencoder.py"
             extra_packages: ""
             run: "uv run python examples/lightning_autoencoder.py"
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "guest"
             name: "complete_workflow"
             extra_packages: ""
             run: |
               uv run python examples/complete_workflow/train.py
               uv run python examples/complete_workflow/fetch.py
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "user"
             name: "complete_workflow"
             extra_packages: ""
             run: |
               uv run python examples/complete_workflow/train.py
               uv run python examples/complete_workflow/fetch.py
           - os: "ubuntu-latest"
-            python-version: "3.10"
+            python-version: "3.11"
             auth_mode: "guest"
             name: "litserve_inference.py"
             extra_packages: "litgpt litserve"

.github/workflows/ci-integrations.yaml

@@ -18,14 +18,14 @@ jobs:
       matrix:
         os: ["ubuntu-latest", "macos-latest", "windows-latest"]
         auth_mode: ["user", "guest"]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13"]
         requires: ["latest"]
         include:
-          - python-version: "3.10"
+          - python-version: "3.11"
             requires: "oldest"
             os: "ubuntu-latest"
             auth_mode: "guest"
-          - python-version: "3.10"
+          - python-version: "3.11"
             requires: "oldest"
             os: "ubuntu-latest"
             auth_mode: "user"

.github/workflows/ci-mypy.yaml

@@ -21,7 +21,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10", "3.13"]
+        python-version: ["3.11", "3.13"]
     steps:
     - uses: actions/checkout@v5
     - name: Install uv and setup python

.github/workflows/ci-unittests.yaml

@@ -19,11 +19,11 @@ jobs:
       fail-fast: false
       matrix:
         os: ["ubuntu-latest", "macos-latest", "windows-latest"]
-        python-version: ["3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13"]
         dependency: ["lightning"]
         requires: ["latest"]
         include:
-            - { os: "ubuntu-latest", python-version: "3.10", dependency: "lightning", requires: "oldest" }
+            - { os: "ubuntu-latest", python-version: "3.11", dependency: "lightning", requires: "oldest" }
     timeout-minutes: 20
     env:
       LIGHTNING_CLOUD_URL: https://staging.gridai.dev

.github/workflows/general_checks.yaml

@@ -28,7 +28,7 @@ jobs:
       testing-matrix: |
         {
           "os": ["ubuntu-22.04", "ubuntu-24.04", "macos-14"],
-          "python-version": ["3.10", "3.11", "3.12", "3.13"],
+          "python-version": ["3.11", "3.12", "3.13"],
         }
 
   pre-commit:

pyproject.toml

@@ -13,7 +13,7 @@ authors = [
 description = "The Lightning Logger of the Lightning.AI Platform"
 license = {file = "LICENSE"}
 readme = {file = "README.md", content-type = "text/markdown"}
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 dynamic = ["version"]
 keywords = ["deep learning", "machine learning", "pytorch", "AI"]
 classifiers = [
@@ -22,7 +22,7 @@ classifiers = [
 
 dependencies = [
     "blake3",
-    "lightning-sdk >=2026.04.16",
+    "lightning-sdk >=2026.05.12",
     "lightning-utilities<=0.15.3",
     "protobuf",
     "psutil",
@@ -72,7 +72,7 @@ where = ["src"]
 exclude = ["tests*", "examples*"]
 
 [tool.mypy]
-python_version = "3.10"
+python_version = "3.11"
 strict = true
 show_error_codes = true
 pretty = true

src/litlogger/series.py

@@ -15,6 +15,8 @@
 
 from __future__ import annotations
 
+import math
+import warnings
 from typing import TYPE_CHECKING, Any, overload
 
 from litlogger.media import File
@@ -63,6 +65,13 @@ def append(self, value: float | File, step: int | None = None) -> None:
                 self._type = "metric"
                 self._experiment._register_key_type(self._key, "metric")
             float_val = float(value)
+            if math.isnan(float_val) or math.isinf(float_val):
+                # FIXME: Remove this when NaN is handled correctly
+                warnings.warn(
+                    f"Metric '{self._key}' = {float_val} is not a finite number. Skipping.",
+                    stacklevel=2,
+                )
+                return
             self._values.append(float_val)
             self._experiment._log_metric_value(self._key, float_val, step=step)
         else:

tests/unittests/test_series.py

@@ -302,3 +302,21 @@ def test_repr(self):
         series.extend([1.0, 2.0])
 
         assert repr(series) == "[1.0, 2.0]"
+
+    @pytest.mark.parametrize("value", [float("nan"), float("inf"), float("-inf")])
+    def test_append_non_finite_skipped_with_warning(self, value):
+        """Test that NaN, Inf, and -Inf values are skipped and subsequent finite appends still work."""
+        exp = MagicMock(spec=Experiment)
+        exp._key_types = {}
+        series = Series(exp, "loss")
+
+        with pytest.warns(match="not a finite number"):
+            series.append(value)
+
+        assert len(series) == 0
+        exp._log_metric_value.assert_not_called()
+
+        # Finite value still works after skip
+        series.append(0.5)
+        assert len(series) == 1
+        assert series[0] == 0.5