move fft and signal files, move signal APIs (#36540)

* move signal apis

* move fft.py and signal.py to paddle/, fix typos

* fix relative imports from fft.py and signal.py

* fix typos

python/paddle/__init__.py

@@ -296,6 +296,7 @@ from .hapi import flops  # noqa: F401
 from . import hub  # noqa: F401
 from . import linalg  # noqa: F401
 from . import fft  # noqa: F401
+from . import signal  # noqa: F401
 
 import paddle.text  # noqa: F401
 import paddle.vision  # noqa: F401

python/paddle/fluid/tests/unittests/test_signal.py

@@ -652,7 +652,7 @@ class TestFrame(unittest.TestCase):
         self.assertTrue(
             np.allclose(
                 frame_for_api_test(self.x, self.frame_length, self.hop_length, self.axis),
-                paddle.tensor.signal.frame(
+                paddle.signal.frame(
                     paddle.to_tensor(self.x),
                     self.frame_length,
                     self.hop_length,
@@ -678,7 +678,7 @@ class TestFrameStatic(unittest.TestCase):
         mp, sp = paddle.static.Program(), paddle.static.Program()
         with paddle.static.program_guard(mp, sp):
             input = paddle.static.data('input', self.x.shape, dtype=self.x.dtype)
-            output = paddle.tensor.signal.frame(
+            output = paddle.signal.frame(
                      input,
                      self.frame_length,
                      self.hop_length,
@@ -708,7 +708,7 @@ class TestFrameStatic(unittest.TestCase):
 class TestFrameException(unittest.TestCase):
     def test_frame(self):
         with self.assertRaises(self.expect_exception):
-            paddle.tensor.signal.frame(
+            paddle.signal.frame(
                 paddle.to_tensor(self.x),
                 self.frame_length,
                 self.hop_length,
@@ -731,7 +731,7 @@ class TestOverlapAdd(unittest.TestCase):
         self.assertTrue(
             np.allclose(
                 overlap_add_for_api_test(self.x, self.hop_length, self.axis),
-                paddle.tensor.signal.overlap_add(
+                paddle.signal.overlap_add(
                     paddle.to_tensor(self.x),
                     self.hop_length,
                     self.axis),
@@ -756,7 +756,7 @@ class TestOverlapAddStatic(unittest.TestCase):
         mp, sp = paddle.static.Program(), paddle.static.Program()
         with paddle.static.program_guard(mp, sp):
             input = paddle.static.data('input', self.x.shape, dtype=self.x.dtype)
-            output = paddle.tensor.signal.overlap_add(
+            output = paddle.signal.overlap_add(
                      input,
                      self.hop_length,
                      self.axis),
@@ -783,7 +783,7 @@ class TestOverlapAddStatic(unittest.TestCase):
 class TestOverlapAddException(unittest.TestCase):
     def test_overlap_add(self):
         with self.assertRaises(self.expect_exception):
-            paddle.tensor.signal.overlap_add(
+            paddle.signal.overlap_add(
                 paddle.to_tensor(self.x),
                 self.hop_length,
                 self.axis)
@@ -848,7 +848,7 @@ class TestStft(unittest.TestCase):
         self.assertTrue(
             np.allclose(
                 stft(self.x, self.n_fft, self.hop_length, self.win_length, win_l, self.center, self.pad_mode),
-                paddle.tensor.signal.stft(
+                paddle.signal.stft(
                     paddle.to_tensor(self.x),
                     self.n_fft,
                     self.hop_length,
@@ -891,7 +891,7 @@ class TestStftException(unittest.TestCase):
             win_p = paddle.to_tensor(self.window)
 
         with self.assertRaises(self.expect_exception):
-            paddle.tensor.signal.stft(
+            paddle.signal.stft(
                 paddle.to_tensor(self.x),
                 self.n_fft,
                 self.hop_length,
@@ -934,7 +934,7 @@ class TestIstft(unittest.TestCase):
         self.assertTrue(
             np.allclose(
                 istft(self.x, self.hop_length, self.win_length, win_l, self.center, self.length),
-                paddle.tensor.signal.istft(
+                paddle.signal.istft(
                     paddle.to_tensor(self.x),
                     self.n_fft,
                     self.hop_length,
@@ -986,7 +986,7 @@ class TestIstftException(unittest.TestCase):
             win_p = paddle.to_tensor(self.window)
 
         with self.assertRaises(self.expect_exception):
-            paddle.tensor.signal.istft(
+            paddle.signal.istft(
                 paddle.to_tensor(self.x),
                 self.n_fft,
                 self.hop_length,

python/paddle/tensor/signal.py → python/paddle/signal.py

@@ -16,16 +16,14 @@ from typing import Optional
 
 import paddle
 
-from .attribute import is_complex, is_floating_point
+from .tensor.attribute import is_complex, is_floating_point
 from .fft import fft_r2c, fft_c2r, fft_c2c
-from ..fluid.data_feeder import check_variable_and_dtype
-from ..fluid.framework import in_dygraph_mode
-from ..fluid.layer_helper import LayerHelper
-from .. import _C_ops
+from .fluid.data_feeder import check_variable_and_dtype
+from .fluid.framework import in_dygraph_mode
+from .fluid.layer_helper import LayerHelper
+from . import _C_ops
 
 __all__ = [
-    'frame',
-    'overlap_add',
     'stft',
     'istft',
 ]
@@ -56,7 +54,7 @@ def frame(x, frame_length, hop_length, axis=-1, name=None):
     .. code-block:: python
 
         import paddle
-        from paddle.tensor.signal import frame
+        from paddle.signal import frame
         
         # 1D
         x = paddle.arange(8)
@@ -177,7 +175,7 @@ def overlap_add(x, hop_length, axis=-1, name=None):
     .. code-block:: python
 
         import paddle
-        from paddle.tensor.signal import overlap_add
+        from paddle.signal import overlap_add
         
         # 2D
         x0 = paddle.arange(16).reshape([8, 2])
@@ -291,11 +289,11 @@ def stft(x,
             real-valued input and `onesided` is `True`) or `[..., n_fft, num_frames]`(
             `onesided` is `False`)
     
-    Exampels:
+    Examples:
         .. code-block:: python
     
             import paddle
-            from paddle.tensor.signal import stft
+            from paddle.signal import stft
     
             # real-valued input
             x = paddle.randn([8, 48000], dtype=paddle.float64)
@@ -415,7 +413,7 @@ def istft(x,
     - :math:`N`: Value of `n_fft`.
     - :math:`H`: Value of `hop_length`.
 
-    Result of `istft` expected to be the inverse of `paddle.tensor.signal.stft`, but it is
+    Result of `istft` expected to be the inverse of `paddle.signal.stft`, but it is
         not guaranteed to reconstruct a exactly realizible time-domain signal from a STFT
         complex tensor which has been modified (via masking or otherwise). Therefore, `istft`
         gives the [Griffin-Lim optimal estimate](https://ieeexplore.ieee.org/document/1164317)
@@ -454,12 +452,12 @@ def istft(x,
         A tensor of least squares estimation of the reconstructed signal(s) with shape
             `[..., seq_length]`
 
-    Exampels:
+    Examples:
         .. code-block:: python
 
             import numpy as np
             import paddle
-            from paddle.tensor.signal import stft, istft
+            from paddle.signal import stft, istft
 
             paddle.seed(0)
 

python/paddle/tensor/__init__.py

@@ -221,8 +221,6 @@ from .array import array_write  # noqa: F401
 from .array import create_array  # noqa: F401
 
 from .einsum import einsum  # noqa: F401
-from . import fft
-from . import signal
 
 #this list used in math_op_patch.py for _binary_creator_
 tensor_method_func  = [ #noqa