Update librosa/core/__init__.py

librosa/core/__init__.py

@@ -1,15 +1,10 @@
-# Minimal librosa.core stub for Spleeter on Python 3.10+
-# Uses TensorFlow STFT/ISTFT backend instead of librosa+numba
-
 import tensorflow as tf
 import numpy as np
 
+tf.config.run_functions_eagerly(True)  # Enforce eager execution globally
+
 def stft(y, n_fft=2048, hop_length=512, win_length=2048, center=True, window=None, **kwargs):
-    """
-    Minimal STFT stub compatible with Spleeter.
-    """
     y = tf.convert_to_tensor(y, dtype=tf.float32)
-
     Z = tf.signal.stft(
         y,
         frame_length=win_length,
@@ -18,22 +13,15 @@ def stft(y, n_fft=2048, hop_length=512, win_length=2048, center=True, window=Non
         window_fn=tf.signal.hann_window,
         pad_end=True
     )
-
-    # Convert to numpy safely
-    return np.array(Z)
-
+    return Z.numpy()  # now works in eager mode
 
 
 def istft(Z, hop_length=512, win_length=2048, window=None, **kwargs):
     Z = tf.convert_to_tensor(Z, dtype=tf.complex64)
-
     audio = tf.signal.inverse_stft(
         Z,
         frame_length=win_length,
         frame_step=hop_length,
         window_fn=tf.signal.hann_window
     )
-
-    return np.array(audio)
-
-
+    return audio.numpy()