From 35fab724261fd832d17641d967c0cbd86fed8aaa Mon Sep 17 00:00:00 2001
From: PlumBlossomMaid <1589524335@qq.com>
Date: Fri, 29 May 2026 13:25:56 +0000
Subject: [PATCH] Add torchaudio.functional.resample API mapping and alignment
 tests

- Add torchaudio.functional.resample -> paddle.audio.functional.resample mapping
  in paconvert/api_mapping.json using ChangeAPIMatcher
- Create tests/torchaudio_tests/ directory for torchaudio API tests
- Add test_functional_resample.py with 6 test cases covering:
  basic positional args, all kwargs, reordered kwargs, custom lowpass/rolloff,
  kaiser method with beta, and batch input
---
 paconvert/api_mapping.json                    |  4 +
 tests/torchaudio_tests/__init__.py            |  0
 .../test_functional_resample.py               | 91 +++++++++++++++++++
 3 files changed, 95 insertions(+)
 create mode 100644 tests/torchaudio_tests/__init__.py
 create mode 100644 tests/torchaudio_tests/test_functional_resample.py

diff --git a/paconvert/api_mapping.json b/paconvert/api_mapping.json
index 2b4e144f8..bdc7416d6 100644
--- a/paconvert/api_mapping.json
+++ b/paconvert/api_mapping.json
@@ -13368,5 +13368,9 @@
     "args_list": [
       "*docstr"
     ]
+  },
+  "torchaudio.functional.resample": {
+    "Matcher": "ChangeAPIMatcher",
+    "paddle_api": "paddle.audio.functional.resample"
   }
 }
diff --git a/tests/torchaudio_tests/__init__.py b/tests/torchaudio_tests/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/tests/torchaudio_tests/test_functional_resample.py b/tests/torchaudio_tests/test_functional_resample.py
new file mode 100644
index 000000000..692977fce
--- /dev/null
+++ b/tests/torchaudio_tests/test_functional_resample.py
@@ -0,0 +1,91 @@
+# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import textwrap
+
+from apibase import APIBase
+
+obj = APIBase("torchaudio.functional.resample")
+
+
+def test_case_1():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        import torchaudio
+        waveform = torch.sin(torch.arange(1000, dtype=torch.float32) * 0.1).unsqueeze(0)
+        result = torchaudio.functional.resample(waveform, 16000, 8000)
+        """
+    )
+    obj.run(pytorch_code, ["result"], rtol=1e-4)
+
+
+def test_case_2():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        import torchaudio
+        waveform = torch.sin(torch.arange(1000, dtype=torch.float32) * 0.1).unsqueeze(0)
+        result = torchaudio.functional.resample(waveform=waveform, orig_freq=16000, new_freq=8000)
+        """
+    )
+    obj.run(pytorch_code, ["result"], rtol=1e-4)
+
+
+def test_case_3():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        import torchaudio
+        waveform = torch.sin(torch.arange(1000, dtype=torch.float32) * 0.1).unsqueeze(0)
+        result = torchaudio.functional.resample(new_freq=8000, waveform=waveform, orig_freq=16000)
+        """
+    )
+    obj.run(pytorch_code, ["result"], rtol=1e-4)
+
+
+def test_case_4():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        import torchaudio
+        waveform = torch.sin(torch.arange(1000, dtype=torch.float32) * 0.1).unsqueeze(0)
+        result = torchaudio.functional.resample(waveform, 16000, 8000, lowpass_filter_width=12, rolloff=0.95)
+        """
+    )
+    obj.run(pytorch_code, ["result"], rtol=1e-4)
+
+
+def test_case_5():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        import torchaudio
+        waveform = torch.sin(torch.arange(1000, dtype=torch.float32) * 0.1).unsqueeze(0)
+        result = torchaudio.functional.resample(waveform, 8000, 16000, resampling_method="sinc_interp_kaiser", beta=12.0)
+        """
+    )
+    obj.run(pytorch_code, ["result"], rtol=1e-4)
+
+
+def test_case_6():
+    pytorch_code = textwrap.dedent(
+        """
+        import torch
+        import torchaudio
+        waveform = torch.sin(torch.arange(1000, dtype=torch.float32) * 0.1).unsqueeze(0).unsqueeze(0).expand(4, 1, -1)
+        result = torchaudio.functional.resample(waveform, 44100, 16000)
+        """
+    )
+    obj.run(pytorch_code, ["result"], rtol=1e-4)