Feat(tensorboard): Add AVX check to prevent crashes

I added a check for AVX support before enabling the TensorBoard feature. This prevents crashes on systems where the CPU does not support the required instruction sets.

I implemented a check for the `avx` flag in `/proc/cpuinfo` and disabled the TensorBoard feature if it is not present. This provides a more robust solution that avoids fatal errors on incompatible hardware.

kohya_gui/class_tensorboard.py

@@ -3,12 +3,25 @@ import gradio as gr
 import subprocess
 import time
 import webbrowser
+import shutil
+import re
+
+def check_avx_support():
+    try:
+        with open('/proc/cpuinfo') as f:
+            for line in f:
+                if line.startswith('flags'):
+                    return 'avx' in line
+    except FileNotFoundError:
+        # /proc/cpuinfo is not available on all platforms.
+        # As a fallback, assume AVX is not supported.
+        return False
 
 try:
-    os.environ["TF_ENABLE_ONEDNN_OPTS"] = "0"
-    import tensorflow  # Attempt to import tensorflow to check if it is installed
-
+    if shutil.which("tensorboard") and check_avx_support():
         visibility = True
+    else:
+        visibility = False
 except ImportError:
     visibility = False
 

tests/test_tensorboard_visibility.py

@@ -0,0 +1,43 @@
+import unittest
+from unittest.mock import patch, mock_open
+import importlib
+
+# Since we are modifying an existing file, we need to reload it
+import kohya_gui.class_tensorboard
+importlib.reload(kohya_gui.class_tensorboard)
+
+class TestTensorboardVisibility(unittest.TestCase):
+
+    @patch('shutil.which', return_value='/usr/bin/tensorboard')
+    @patch('kohya_gui.class_tensorboard.check_avx_support', return_value=True)
+    def test_tensorboard_visibility_when_tensorboard_and_avx_are_present(self, mock_avx, mock_which):
+        importlib.reload(kohya_gui.class_tensorboard)
+        self.assertTrue(kohya_gui.class_tensorboard.visibility)
+
+    @patch('shutil.which', return_value=None)
+    @patch('kohya_gui.class_tensorboard.check_avx_support', return_value=True)
+    def test_tensorboard_visibility_when_tensorboard_is_absent(self, mock_avx, mock_which):
+        importlib.reload(kohya_gui.class_tensorboard)
+        self.assertFalse(kohya_gui.class_tensorboard.visibility)
+
+    @patch('shutil.which', return_value='/usr/bin/tensorboard')
+    @patch('kohya_gui.class_tensorboard.check_avx_support', return_value=False)
+    def test_tensorboard_visibility_when_avx_is_absent(self, mock_avx, mock_which):
+        importlib.reload(kohya_gui.class_tensorboard)
+        self.assertFalse(kohya_gui.class_tensorboard.visibility)
+
+    @patch('builtins.open', mock_open(read_data="flags : avx"))
+    def test_check_avx_support_present(self):
+        self.assertTrue(kohya_gui.class_tensorboard.check_avx_support())
+
+    @patch('builtins.open', mock_open(read_data="flags : sse"))
+    def test_check_avx_support_absent(self):
+        self.assertFalse(kohya_gui.class_tensorboard.check_avx_support())
+
+    @patch('builtins.open', side_effect=FileNotFoundError)
+    def test_check_avx_support_file_not_found(self, mock_open):
+        self.assertFalse(kohya_gui.class_tensorboard.check_avx_support())
+
+
+if __name__ == '__main__':
+    unittest.main()