Adds option to override the file path to the resource usage pickle file

src/gpu_tracker/tracker.py

@@ -297,7 +297,7 @@ class State(enum.Enum):
     def __init__(
             self, sleep_time: float = 1.0, ram_unit: str = 'gigabytes', gpu_ram_unit: str = 'gigabytes', time_unit: str = 'hours',
             n_expected_cores: int = None, gpu_uuids: set[str] = None, disable_logs: bool = False, process_id: int = None,
-            n_join_attempts: int = 5, join_timeout: float = 10.0):
+            resource_usage_file: str | None = None, n_join_attempts: int = 5, join_timeout: float = 10.0):
         """
         :param sleep_time: The number of seconds to sleep in between usage-collection iterations.
         :param ram_unit: One of 'bytes', 'kilobytes', 'megabytes', 'gigabytes', or 'terabytes'.
@@ -307,6 +307,7 @@ def __init__(
         :param gpu_uuids: The UUIDs of the GPUs to track utilization for. The length of this set is used as the denominator when calculating the hardware percentages of the GPU utilization (i.e. n_expected_gpus). Defaults to all the GPUs in the system.
         :param disable_logs: If set, warnings are suppressed during tracking. Otherwise, the Tracker logs warnings as usual.
         :param process_id: The ID of the process to track. Defaults to the current process.
+        :param resource_usage_file: The file path to the pickle file containing the ``resource_usage`` attribute. This file is automatically deleted and the ``resource_usage`` attribute is set in memory if the tracking successfully completes. But if the tracking is interrupted, the tracking information will be saved in this file as a backup. Defaults to a randomly generated file name in the current working directory of the format ``.gpu-tracker_<random UUID>.pkl``.
         :param n_join_attempts: The number of times the tracker attempts to join its underlying sub-process.
         :param join_timeout: The amount of time the tracker waits for its underlying sub-process to join.
         :raises ValueError: Raised if invalid units are provided.
@@ -319,7 +320,7 @@ def __init__(
         legit_child_ids = {process.pid for process in current_process.children()}
         self._stop_event = mproc.Event()
         extraneous_ids = {process.pid for process in current_process.children()} - legit_child_ids
-        self._resource_usage_file = f'.gpu-tracker_{uuid.uuid1()}.pkl'
+        self._resource_usage_file = f'.gpu-tracker_{uuid.uuid1()}.pkl' if resource_usage_file is None else resource_usage_file
         self._tracking_process = _TrackingProcess(
             self._stop_event, sleep_time, ram_unit, gpu_ram_unit, time_unit, n_expected_cores, gpu_uuids, disable_logs,
             process_id if process_id is not None else current_process_id, self._resource_usage_file, extraneous_ids)

tests/test_tracker.py

@@ -3,6 +3,7 @@
 import json
 import os
 import pytest as pt
+import time
 import utils
 
 nvidia_smi_unavailable_message = 'The nvidia-smi command is not available. Please install the Nvidia drivers to track GPU usage. ' \
@@ -313,3 +314,14 @@ def test_state(mocker):
     with pt.raises(RuntimeError) as error:
         tracker.stop()
     assert str(error.value) == 'Cannot stop tracking when tracking has already stopped.'
+
+
+def test_resource_usage_file():
+    file_path = 'my-file.pkl'
+    tracker = gput.Tracker(resource_usage_file=file_path)
+    assert not os.path.isfile(file_path)
+    tracker.start()
+    time.sleep(0.1)
+    assert os.path.isfile(file_path)
+    tracker.stop()
+    assert not os.path.isfile(file_path)