Merge pull request #273 from asogaard/fix-torch-in-data

Fix torch import in graphnet.data

src/graphnet/data/dataconverter.py

@@ -27,14 +27,11 @@ def final(f):  # Identity decorator
     I3TruthExtractor,
 )
 from graphnet.utilities.filesys import find_i3_files
-from graphnet.utilities.logging import LoggerMixin, get_logger
+from graphnet.utilities.imports import has_icecube_package
+from graphnet.utilities.logging import LoggerMixin
 
-logger = get_logger()
-
-try:
+if has_icecube_package():
     from icecube import icetray, dataio  # pyright: reportMissingImports=false
-except ImportError:
-    logger.warning("icecube package not available.")
 
 
 SAVE_STRATEGIES = [

src/graphnet/data/extractors/i3extractor.py

@@ -1,17 +1,11 @@
 from abc import ABC, abstractmethod
 from typing import List
 
-from graphnet.utilities.logging import LoggerMixin, get_logger
+from graphnet.utilities.imports import has_icecube_package
+from graphnet.utilities.logging import LoggerMixin
 
-logger = get_logger()
-
-try:
-    from icecube import (
-        icetray,
-        dataio,
-    )  # pyright: reportMissingImports=false
-except ImportError:
-    logger.warning("icecube package not available.")
+if has_icecube_package():
+    from icecube import icetray, dataio  # pyright: reportMissingImports=false
 
 
 class I3Extractor(ABC, LoggerMixin):

src/graphnet/data/extractors/i3featureextractor.py

@@ -1,13 +1,8 @@
 from graphnet.data.extractors.i3extractor import I3Extractor
-from graphnet.utilities.logging import get_logger
-
-logger = get_logger()
-try:
-    from icecube import (
-        dataclasses,
-    )  # pyright: reportMissingImports=false
-except ImportError:
-    logger.warning("icecube package not available.")
+from graphnet.utilities.imports import has_icecube_package
+
+if has_icecube_package():
+    from icecube import dataclasses  # pyright: reportMissingImports=false
 
 
 class I3FeatureExtractor(I3Extractor):

src/graphnet/data/extractors/i3truthextractor.py

@@ -7,18 +7,14 @@
     frame_is_montecarlo,
     frame_is_noise,
 )
-from graphnet.utilities.logging import get_logger
+from graphnet.utilities.imports import has_icecube_package
 
-logger = get_logger()
-
-try:
+if has_icecube_package():
     from icecube import (
         dataclasses,
         icetray,
         phys_services,
     )  # pyright: reportMissingImports=false
-except ImportError:
-    logger.warning("icecube package not available.")
 
 
 class I3TruthExtractor(I3Extractor):
@@ -385,5 +381,5 @@ def _find_data_type(self, mc, input_file):
         if "L2" in input_file:  # not robust
             sim_type = "dbang"
         if sim_type == "lol":
-            logger.info("SIM TYPE NOT FOUND!")
+            self.logger.info("SIM TYPE NOT FOUND!")
         return sim_type

src/graphnet/data/parquet/__init__.py

@@ -1,2 +1,8 @@
+from graphnet.utilities.imports import has_torch_package
+
 from .parquet_dataconverter import ParquetDataConverter
-from .parquet_dataset import ParquetDataset
+
+if has_torch_package():
+    from .parquet_dataset import ParquetDataset
+
+del has_torch_package

src/graphnet/data/sqlite/__init__.py

@@ -1,4 +1,10 @@
+from graphnet.utilities.imports import has_torch_package
+
 from .sqlite_dataconverter import SQLiteDataConverter
-from .sqlite_dataset import SQLiteDataset
-from .sqlite_dataset_perturbed import SQLiteDatasetPerturbed
 from .sqlite_utilities import run_sql_code, save_to_sql
+
+if has_torch_package():
+    from .sqlite_dataset import SQLiteDataset
+    from .sqlite_dataset_perturbed import SQLiteDatasetPerturbed
+
+del has_torch_package

src/graphnet/utilities/imports.py

@@ -2,7 +2,7 @@
 
 from functools import wraps
 
-from graphnet.utilities.logging import get_logger
+from graphnet.utilities.logging import get_logger, warn_once
 
 
 logger = get_logger()
@@ -15,6 +15,23 @@ def has_icecube_package() -> bool:
 
         return True
     except ImportError:
+        warn_once(
+            logger,
+            "`icecube` not available. Some functionality may be missing.",
+        )
+        return False
+
+
+def has_torch_package() -> bool:
+    """Check whether the `torch` package is available."""
+    try:
+        import torch
+
+        return True
+    except ImportError:
+        warn_once(
+            logger, "`torch` not available. Some functionality may be missing."
+        )
         return False
 
 

src/graphnet/utilities/logging.py

@@ -1,6 +1,7 @@
 """Consistent and configurable logging across the project."""
 
 from collections import Counter
+from functools import lru_cache
 import re
 from typing import Optional
 import colorlog
@@ -53,6 +54,12 @@ def get_formatters() -> Tuple[logging.Formatter, colorlog.ColoredFormatter]:
     return basic_formatter, colored_formatter
 
 
+@lru_cache(1)
+def warn_once(logger: logging.Logger, message: str):
+    """Print `message` as warning exactly once."""
+    logger.warn(message)
+
+
 class RepeatFilter(object):
     """Filter out repeat messages."""