fix exp

audio/audiotools/core/audio_signal.py

@@ -1479,7 +1479,7 @@ class AudioSignal(
 
     @magnitude.setter
     def magnitude(self, value):
-        self.stft_data = value * paddle.exp(1j * self.phase)
+        self.stft_data = value * util.exp_compat(1j * self.phase)
         return
 
     def log_magnitude(self,
@@ -1544,7 +1544,7 @@ class AudioSignal(
     @phase.setter
     def phase(self, value):
         # 
-        self.stft_data = self.magnitude * paddle.exp(1j * value)
+        self.stft_data = self.magnitude * util.exp_compat(1j * value)
         return
 
     # Operator overloading

audio/audiotools/core/dsp.py

@@ -313,7 +313,7 @@ class DSPMixin:
 
         mag = paddle.where(mask, paddle.full_like(mag, val), mag)
         phase = paddle.where(mask, paddle.full_like(phase, val), phase)
-        self.stft_data = mag * paddle.exp(1j * phase)
+        self.stft_data = mag * util.exp_compat(1j * phase)
         return self
 
     def mask_timesteps(
@@ -362,7 +362,7 @@ class DSPMixin:
         mag = paddle.where(mask, paddle.full_like(mag, val), mag)
         phase = paddle.where(mask, paddle.full_like(phase, val), phase)
 
-        self.stft_data = mag * paddle.exp(1j * phase)
+        self.stft_data = mag * util.exp_compat(1j * phase)
         return self
 
     def mask_low_magnitudes(

audio/audiotools/core/effects.py

@@ -182,7 +182,7 @@ class EffectMixin:
         # Use the input phase
         if use_original_phase:
             self.stft()
-            self.stft_data = self.magnitude * paddle.exp(1j * phase)
+            self.stft_data = self.magnitude * util.exp_compat(1j * phase)
             self.istft()
 
         # Rescale to the input's amplitude
@@ -230,7 +230,7 @@ class EffectMixin:
         db = util.ensure_tensor(db)
         ref_db = self.loudness()
         gain = db - ref_db
-        gain = paddle.exp(gain * self.GAIN_FACTOR)
+        gain = util.exp_compat(gain * self.GAIN_FACTOR)
 
         self.audio_data = self.audio_data * gain[:, None, None]
         return self
@@ -249,7 +249,7 @@ class EffectMixin:
             Signal at new volume.
         """
         db = util.ensure_tensor(db, ndim=1)
-        gain = paddle.exp(db * self.GAIN_FACTOR)
+        gain = util.exp_compat(db * self.GAIN_FACTOR)
         self.audio_data = self.audio_data * gain[:, None, None]
         return self
 
@@ -535,7 +535,7 @@ class EffectMixin:
         # unquantize
         x = (x / mu) * 2 - 1.0
         x = paddle.sign(x) * (
-            paddle.exp(paddle.abs(x) * paddle.log1p(mu)) - 1.0) / mu
+            util.exp_compat(paddle.abs(x) * paddle.log1p(mu)) - 1.0) / mu
 
         residual = (self.audio_data - x).detach()
         self.audio_data = self.audio_data - residual

audio/audiotools/core/util.py

@@ -28,10 +28,37 @@ from flatten_dict import flatten
 from flatten_dict import unflatten
 
 from .audio_signal import AudioSignal
+from paddlespeech.utils import satisfy_paddle_version
 
 # from ..data.preprocess import create_csv
 
 
+def exp_compat(x):
+    """
+    Compute the exponential of the input tensor `x`.
+
+    This function is designed to handle compatibility issues with PaddlePaddle versions below 2.6,
+    which do not support the `exp` operation for complex tensors. In such cases, the computation
+    is offloaded to NumPy.
+
+    Args:
+        x (paddle.Tensor): The input tensor for which to compute the exponential.
+
+    Returns:
+        paddle.Tensor: The result of the exponential operation, as a PaddlePaddle tensor.
+
+    Notes:
+        - If the PaddlePaddle version is 2.6 or above, the function uses `paddle.exp` directly.
+        - For versions below 2.6, the tensor is first converted to a NumPy array, the exponential
+          is computed using `np.exp`, and the result is then converted back to a PaddlePaddle tensor.
+    """
+    if satisfy_paddle_version("2.6"):
+        return paddle.exp(x)
+    else:
+        x_np = x.cpu().numpy()
+        return paddle.to_tensor(np.exp(x_np))
+
+
 @dataclass
 class Info:
 

audio/tests/audiotools/core/test_audio_signal✅.py

@@ -10,6 +10,7 @@ import rich
 sys.path.append("../..")
 import audiotools
 from audiotools import AudioSignal
+from audiotools import util
 
 
 def test_io():
@@ -421,7 +422,7 @@ def test_stft(window_length, hop_length, window_type):
         mag = signal.magnitude
         phase = signal.phase
 
-        recon_stft = mag * paddle.exp(1j * phase)
+        recon_stft = mag * util.exp_compat(1j * phase)
         # assert paddle.allclose(recon_stft, signal.stft_data)
         assert np.allclose(recon_stft.cpu().numpy(),
                            signal.stft_data.cpu().numpy())
@@ -431,7 +432,7 @@ def test_stft(window_length, hop_length, window_type):
         signal.stft_data = None
         phase = signal.phase
 
-        recon_stft = mag * paddle.exp(1j * phase)
+        recon_stft = mag * util.exp_compat(1j * phase)
         # assert paddle.allclose(recon_stft, signal.stft_data)
         assert np.allclose(recon_stft.cpu().numpy(),
                            signal.stft_data.cpu().numpy())

audio/tests/audiotools/ml/test_decorators✅.py

@@ -7,6 +7,7 @@ from visualdl import LogWriter
 from audiotools.ml.decorators import timer
 from audiotools.ml.decorators import Tracker
 from audiotools.ml.decorators import when
+from audiotools import util
 
 
 def test_all_decorators():
@@ -26,12 +27,16 @@ def test_all_decorators():
         i = tracker.step
         time.sleep(0.01)
         return {
-            "loss": paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
-            "mel": paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
-            "stft": paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
+            "loss":
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
+            "mel":
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
+            "stft":
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
             "waveform":
-            paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
-            "not_scalar": paddle.arange(start=0, end=10, step=1, dtype="int64"),
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
+            "not_scalar":
+            paddle.arange(start=0, end=10, step=1, dtype="int64"),
         }
 
     @tracker.track("val", len(val_data))
@@ -40,13 +45,18 @@ def test_all_decorators():
         i = tracker.step
         time.sleep(0.01)
         return {
-            "loss": paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
-            "mel": paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
-            "stft": paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
+            "loss":
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
+            "mel":
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
+            "stft":
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
             "waveform":
-            paddle.exp(paddle.to_tensor([-i / 100], dtype="float32")),
-            "not_scalar": paddle.arange(10, dtype="int64"),
-            "string": "string",
+            util.exp_compat(paddle.to_tensor([-i / 100], dtype="float32")),
+            "not_scalar":
+            paddle.arange(10, dtype="int64"),
+            "string":
+            "string",
         }
 
     @when(lambda: tracker.step % 1000 == 0 and rank == 0)