[API Compatibility] Change compatibility apis to ChangePrefixMatcher, inject paddle.enable_compat(), fix test environment context pollution -part by Manfredss · Pull Request #895 · PaddlePaddle/PaConvert

Manfredss · 2026-06-29T04:02:56Z

PR Docs

For the 24 torch.* APIs that are aligned through paddle.compat.*, switch the converter to the "prefix-only + enable_compat" strategy instead of mapping each to paddle.compat.X explicitly:

api_mapping.json — change those 24 entries from ChangeAPIMatcher → paddle.compat.X to {"Matcher": "ChangePrefixMatcher"} . Converted calls now use the corresponding paddle.* prefix while preserving Torch-style signatures and argument names. For example, torch.sort(x, dim=-1) is converted to: paddle.sort(x, dim=-1). At runtime, enable_compat(level=2) dispatches the external paddle.sort call to its Torch-aligned implementation. Related mappings are adjusted accordingly: torch.nn.Softmax2d uses dim instead of the native Paddle axis; torch.nn.functional.softmin preserves input and dim.
transformer/import_transformer.py — for converted files whose mapped packages include paddle, inject a deduplicated import paddle and a single paddle.enable_compat(level=2). In default mode, the code is inserted after the existing import block. In min mode, it is inserted after the module docstring and any __future__ imports, but before retained Torch imports, ensuring that the compat proxy is enabled before Torch is imported.
tests/apibase.py — paddle.enable_compat(level=2) installs process-wide Torch proxy and Paddle namespace dispatch state. Call the shared disable_paddle_compat() helper immediately before every real PyTorch reference execution, ensuring that the reference always runs against real PyTorch, including when a test invokes run() multiple times. Cross-test process state is restored separately by the autouse fixture in tests/conftest.py.

PR APIs

torch.Tensor.allclose
torch.Tensor.max
torch.Tensor.median
torch.Tensor.min
torch.Tensor.sort

torch.allclose
torch.equal
torch.max
torch.median
torch.min
torch.nanmedian
torch.seed
torch.sort
torch.split
torch.unique

torch.nn.Linear
torch.nn.Softmax
torch.nn.Unfold

torch.nn.functional.linear
torch.nn.functional.log_softmax
torch.nn.functional.pad
torch.nn.functional.scaled_dot_product_attention
torch.nn.functional.softmax
torch.nn.functional.unfold

related Paddle PR:

[API Compatibility] enhance paddle.enable_compat -part Paddle#79391

paddle.Tensor.split is a known failure. It will be fixed in

[API Compatibility] Support ChangePrefixMatcher for aligned nn classes -part Paddle#79539

Also in this PR

The issue of Cross-Test Global State Pollution in conftest.py is fixed. Originally PaConvert tests execute the original torch code and converted Paddle code sequentially in the same pytest worker. Some tests modify process-wide state without restoring it, including:

the compat proxy installed by paddle.enable_compat(level=2)
default device, dtype, and gradient state in PyTorch and Paddle;
environment variables such as CPU_NUM;
runtime monkeypatches applied to paddle.Tensor and paddle.nn.* classes.

Some generated helpers are defined inside temporary exec namespaces. After those namespaces are cleared, the class-level monkeypatches may remain and reference invalid globals, affecting subsequent tests. Therefore, cleaning up only the compat proxy is insufficient.

This change adds an autouse fixture that snapshots the relevant state before each test and restores it afterward. It disables compat, restores PyTorch/Paddle defaults and environment variables, and reverts modified class attributes. This isolates tests without changing PaConvert’s conversion behavior.

7.30 update
Add five apis to ChangePrefixMatcher and enhanced the tests:

torch.Tensor.is_sparse
torch.Tensor.numel
torch.Tensor.type

torch.distributions.categorical.Categorical

torch.nn.PReLU

also update Paddle’s public compat guard to isolate torch and paddle execution, improve CI test isolation.
related PR:

[API Compatibility] Align paddle.Tensor.is_sparse, paddle.Tensor.type, paddle.Tensor.size api, paddle.nn.PReLU and paddle.distributions.categorical.Categorical -part Paddle#79550

Co-authored by Claude and Codex

…to patch_compat

… calls hit the alias The default enable_compat() (level=1) does not alias paddle.*, so prefix-converted calls (torch.X -> paddle.X) would run native and reject torch-style kwargs. level=2 turns on the paddle.* alias; caller-aware dispatch keeps paddle internals native. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

…to patch_compat

…eset import_transformer.py: - Inject paddle.enable_compat(level=2) via a transform() post-pass so it lands after the docstring, __future__ imports and the import block (fixes a pre-existing SyntaxError where injected imports preceded `from __future__`). - Gate on real torch imports (torch_packages), not paddle_package_list, so a torch-free file importing only os/einops/setuptools no longer gains a needless paddle import or the process-global compat switch. tests: - Rename confest.py -> conftest.py so the autouse compat-reset fixture is loaded by pytest (was dead due to the typo). - Dedupe the disable logic into conftest.disable_paddle_compat(), imported by apibase and called before each torch reference exec. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

…into patch_compat

…evel=2) now.

…ompat Switch Tensor.allclose and Tensor.sort to ChangePrefixMatcher and keep softmin's softmax call using torch arg names (input/dim), since compat paddle APIs now accept torch-style args and reject paddle-native ones. Update tests to inject enable_compat(level=2); fix torchvision model_apibase proxy leak around the torch reference forward.

zhwesky2010 · 2026-07-10T05:07:55Z

+        # enable_compat is injected in transform() (needs all imports in the body).
+        # Gate on real torch imports, not paddle_package_list: the latter also holds
+        # MAY_TORCH packages (os/einops/setuptools) that need no compat switch.
+        if self.imports_map[self.file]["torch_packages"]:


简化下代码，看有无更简单的写法，是否只需要修改visit_Module就可以？

zhwesky2010 · 2026-07-10T05:08:11Z

PR冲突了

zhwesky2010

这些插入操作能不能复用已有的函数record_scope

zhwesky2010 · 2026-07-13T08:12:38Z

注意代码风格简化并贴合已有架构来写，不要让AI随意发挥：

贴合已有架构、功能和风格来开发，不要从0开始（AI不懂代码库架构喜欢重起炉灶）
非代码复用的情况下，不需要封各种类函数（只会增加代码复杂度并无意义）
移除冗余注释

zhwesky2010 · 2026-07-13T08:16:19Z

+                    return True
+        return False
+
+    def _inject_enable_compat(self):


这个使用record_scope不能插入吗？插入这个不需要从0开始重写吧

Bring the latest API compatibility coverage into the branch while preserving the record_scope-based compat injection and test state isolation fixes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

paddle-bot · 2026-07-14T05:58:28Z

Thanks for your contribution!

Align expected diffs with compat injection and intentional ChangePrefixMatcher behavior. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Deduplicate paddle_package_list in ImportTransformer.visit_Module: since imports are now batched into one record_scope call, its cross-call dedup no longer removes duplicates, producing two 'import paddle' lines when a file imports multiple torch-family packages (e.g. torchvision + datasets). Regenerate default-mode goldens for the paddle.enable_compat(level=2) injection and the intentional compat-prefix removals (equal, BatchNorm1d/2d), matching the min-mode baseline update in f7e1c04. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

zhwesky2010

简单问题不用复杂化：这里的node进来时已经是一个处理干净的node，所有torch相关的import都清除干净了，只用在这个基础上插入好paddle相关import即可

zhwesky2010 · 2026-07-14T11:38:53Z

-            line_NO += 1
+        import_nodes = []
+        for paddle_package in dict.fromkeys(paddle_package_list):
+            import_nodes.extend(ast.parse(f"import {paddle_package}").body)


直接在这里判断是否为 paddle_package=='paddle'

如果是，则import_nodes.extend(ast.parse(f"import paddle;paddle.enable_compat(2)").body)

并且该操作仅执行一次（当然执行多次问题也不大，后续会被isort校正）

zhwesky2010 · 2026-07-14T11:39:48Z

+
+        has_torch_package = bool(self.imports_map[self.file]["torch_packages"])
+
+        has_enable_compat = any(


这些判断都需要吗？后面也会经过isort、black的格式化处理，移除多余import，这里不要想的太复杂了

zhwesky2010 · 2026-07-14T11:41:10Z

+        if has_torch_package and not has_enable_compat:
+            import_nodes.extend(ast.parse("paddle.enable_compat(level=2)").body)
+
+        import_end = 1 if node.body and ast.get_docstring(node, clean=False) else 0


for循环，self.record_scope((self.root, "body", line_NO), import_nodes) 就行了吧。

原始的node在visit_Import、visit_ImportFrom时就已经被清除，原始node的import内容应该已经被清理掉了。

另外加上log_info，这个是比较重要的调试信息

…a single paddle.enable_compat(level=2) on top of the already-cleaned node, dropping redundant enable_compat/torch-package scans and adding log_info

Manfredss · 2026-07-28T03:59:06Z

/re-run all-failed

….split()

zhwesky2010

对于一些预期外的问题，首先需要思考机制和设计上的问题，从问题的源头去解决，避免在外面到处打patch。

这里存在level=2但引入了level=1，导致torch无法正常的问题，可以将level选项进一步升级：

level=1，替换torch；
level=2，替换paddle；
level=3，替换torch+paddle

验证level=2即可

zhwesky2010 · 2026-07-29T11:51:27Z

    "kwargs_change": {
-      "input": "x",
-      "dim": "axis",
+      "input": "input",


这个没有kwargs change？

zhwesky2010 · 2026-07-29T11:53:22Z

        return "unchange"

    def get_paddle_class_nodes(self, func, args, kwargs):
+        if (


这个是什么问题？x.split已经对齐了这里为什么还需要修改

这是要的，不是为了对齐 Tensor.split 本身，而是避免 PaConvert 将 Python 原生的 str.split 误识别为 torch.Tensor.split

str.split本身就不会被改动，这里误识别了会有什么问题？

zhwesky2010 · 2026-07-29T11:54:43Z

@@ -40,11 +40,15 @@ echo "Checking code gpu unit test by pytest ..."
 set +e

 PYTEST_IGNORE=(


这里分两批跑，第一次跑特定名单，第二次跑其他的

zhwesky2010 · 2026-07-29T11:54:55Z

+    --ignore=tests/test_set_num_interop_threads.py
 )

+python -m pytest -v -s -p no:warnings tests/test_set_num_interop_threads.py 2>&1 | tee -a pytest.log


这里分两批跑，第一次跑特定名单，第二次跑其他的

不用单独指定某个测试

zhwesky2010 · 2026-07-29T11:55:12Z

+python -m pytest -v -s -p no:warnings tests/test_cuda_set_stream.py 2>&1 | tee -a pytest.log
+setstream_exit=${PIPESTATUS[0]}
+
+python -m pytest -v -s -p no:warnings tests/test_set_num_interop_threads.py 2>&1 | tee -a pytest.log


分两批跑，不用单独指定某个测试

zhwesky2010 · 2026-07-29T11:58:06Z

+            # internal `import torch` / `torch.SymInt` etc. resolve through the
+            # paddle proxy and blow up. Disable compat for the torch forward, then
+            # restore it so the paddle forward matches how a user runs the output.
+            from paddle.compat.proxy import TORCH_PROXY_FINDER


torch代码按torch跑

paddle代码按paddle.enable_compat(2)跑，不应该影响到torch代码的运行

这是哪里机制上有问题吗？两者执行应该是互不影响才对

zhwesky2010 · 2026-07-29T12:00:51Z

                )
                assert paddle_code == expect_paddle_code, error_msg
        elif compared_tensor_names:
+            disable_paddle_compat()


你这里是不是应该从eval执行的地方去修改，适配好torch、paddle交替执行的情况

zhwesky2010 · 2026-07-29T12:01:11Z

                )
                assert paddle_code == expect_paddle_code, error_msg
        elif compared_tensor_names:
+            disable_paddle_compat()


你这里应该从eval执行的地方去修改，适配torch、paddle交替执行的情况

…tests

zhwesky2010

把目前过不了的API单独拆一个PR，先把能过的API合入

zhwesky2010 · 2026-08-02T16:31:49Z

            self.paddle_api = astor.to_source(func).strip("\n")
        else:
-            self.parse_func(func)
+            func_str = astor.to_source(func).strip("\n")


你为啥不直接修正parse_func呢，修问题根源

zhwesky2010 · 2026-08-02T16:32:29Z

                    input_list = paddle.unstack(input, axis=0)
                else:
-                    input_list = paddle.split(input, num_or_sections=world_size, axis=0)
+                    input_list = paddle.tensor.split(


这个又是有啥bug不修吗

zhwesky2010 · 2026-08-02T16:37:46Z

                simple_input = np.random.rand(1, 3, 224, 224).astype(np.float32)

-            pytorch_output = pytorch_result(torch.tensor(simple_input))
+            with paddle.use_compat_guard(enable=False):


这些地方还需要guard吗，目前已经不影响torch的计算了吧

zhwesky2010 · 2026-08-02T16:38:34Z

 import os
 import re
 import sys
+from contextlib import nullcontext


现在为啥还需要搞这些guard？目前已经不影响torch的计算了吧

zhwesky2010 · 2026-08-02T16:39:22Z

+
+The logic is lazy and best-effort: it only touches a framework that is already in
+``sys.modules``, so it never forces an import of torch/paddle (which would change
+import ordering) for tests that don't use them.


这个文件删掉，不允许在外面打patch

zhwesky2010 · 2026-08-02T16:44:14Z

+    obj.run(pytorch_code, ["result"])
+
+
+def test_case_21():


这是个什么测试case，怎么这么奇怪

zhwesky2010 · 2026-08-10T08:24:49Z

                    input_list = paddle.unstack(input, axis=0)
                else:
-                    input_list = paddle.split(input, num_or_sections=world_size, axis=0)
+                    input_list = paddle.tensor.split(


enable_compat(2)之后，你需要把这个split改成torch的用法，也就是compat.split

zhwesky2010 · 2026-08-10T08:31:21Z


-            for i in range(len(compared_tensor_names)):
+            paddle_ns = {}
+            with paddle.use_compat_guard(enable=False):


这个是enable=False吗

因为转换后的代码第一行就是 paddle.enable_compat(level=2)，所以这里先把 proxy 关掉从干净状态开始，compat 由被执行的代码按需开启；退出 guard 之后恢复进入前的全局状态，不影响后续用例

zhwesky2010 · 2026-08-10T08:32:15Z

        ["result"],
        check_value=False,
-        reason="Pytorch return 'torch.FloatTensor' while Paddle rerurn 'paddle.float32' ",
+        reason="Pytorch return tensor type name like 'torch.FloatTensor' while Paddle return dtype name like 'paddle.float32'",


这个不是新增的API吗，新增的没做到对齐吗

zhwesky2010 · 2026-08-10T08:32:35Z

@@ -0,0 +1,256 @@
+# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.


这个文件还是不能删除吗

我目前还没有办法删去

现在是提出了逻辑到 apibase 里，然后在 tests/test_get_default_device.py，tests/test_set_default_device.py，tests/test_set_grad_enabled.py 里面一些测试 case 拿到 torch 的结果之后就复原

…_compat(level=2) in use

…s that could affect running env

Manfredss · 2026-08-14T01:55:01Z

/re-run all-failed

zhwesky2010 · 2026-08-14T03:48:47Z

                    input_list = paddle.unstack(input, axis=0)
                else:
-                    input_list = paddle.split(input, num_or_sections=world_size, axis=0)
+                    input_list = paddle.compat.split(input, world_size, dim=0)


enable_compat后，这个可以改成 paddle.split(...) 吧

zhwesky2010 · 2026-08-14T04:14:49Z

+        a = torch.ones(2, 3, device="cpu")
+        # paddle returns paddle.FloatTensor etc, so drop the namespace
+        # prefix and compare the remaining segments
+        result = a.type(dtype=None, non_blocking=False).split(".", 1)[1]


这种返回什么，为何也需要取后段

zhwesky2010 · 2026-08-14T04:15:07Z

+        kwargs = {"async": True}
+        # paddle returns paddle.FloatTensor etc, so drop the namespace
+        # prefix and compare the remaining segments
+        result = a.type(**kwargs).split(".", 1)[1]


有输入的情况下也需要取后段吗

zhwesky2010 · 2026-08-14T04:36:02Z

+_SENTINEL = object()
+
+
+def _snapshot_patches(paddle):


问题单测单独隔离运行，不修改单测机制

softmin的配置改成新的配置

…min config - reduce_scatter_tensor: use paddle.split instead of paddle.compat.split - tests/apibase.py: restore the original test mechanism and run the state-polluting tests separately via the CI isolated list - softmin: switch to the new enable_compat-based config - tests/test_Tensor_type.py: compare the converted tensor directly when a dtype is given, without stripping the type-name namespace prefix

Manfredss · 2026-08-15T15:36:20Z

/re-run all-failed

Manfredss · 2026-08-16T02:35:48Z

/re-run all-failed

Manfredss added 2 commits June 29, 2026 03:50

change for enable_compat

321f32b

add two left api

9bf7bfb

Manfredss closed this Jun 29, 2026

Manfredss reopened this Jun 29, 2026

Manfredss marked this pull request as draft June 29, 2026 12:59

Manfredss marked this pull request as ready for review June 29, 2026 13:00

paddle-bot Bot added the contributor External developers label Jun 29, 2026

Manfredss and others added 6 commits July 2, 2026 20:37

Merge branch 'master' of https://github.com/paddlepaddle/paconvert in…

204c7a1

…to patch_compat

Merge branch 'master' of https://github.com/paddlepaddle/paconvert in…

1ff4284

…to patch_compat

Merge branch 'master' of https://github.com/paddlepaddle/paconvert in…

020ce44

…to patch_compat

Merge branch 'patch_compat' of https://github.com/manfredss/paconvert …

bfff52a

…into patch_compat

Manfredss force-pushed the patch_compat branch from 74ba7ca to bfff52a Compare July 7, 2026 12:53

Manfredss added 4 commits July 8, 2026 08:22

update ChangePrefixMatcher for those can passed under enable_compat(l…

3dcd2a1

…evel=2) now.

ChangePrefixMatcher for BatchNorm1d/2d/3d

81a3c07

fix code conversion mis-alignment

f04bbf3

zhwesky2010 reviewed Jul 10, 2026

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zhwesky2010 reviewed Jul 13, 2026

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Manfredss and others added 2 commits July 14, 2026 02:53

Merge upstream master into patch_compat

9bef7f9

Bring the latest API compatibility coverage into the branch while preserving the record_scope-based compat injection and test state isolation fixes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

restore test script

838a8a5

Manfredss and others added 2 commits July 14, 2026 06:40

update min-mode consistency baselines

f7e1c04

Align expected diffs with compat injection and intentional ChangePrefixMatcher behavior. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

zhwesky2010 reviewed Jul 14, 2026

View reviewed changes

Simplify ImportTransformer.visit_Module to insert paddle imports and …

14d8aeb

…a single paddle.enable_compat(level=2) on top of the already-cleaned node, dropping redundant enable_compat/torch-package scans and adding log_info

fix

9c52c23

add fix for split, to help distinguish from string split() and Tensor…

e39b042

….split()

Manfredss requested a review from zhwesky2010 July 29, 2026 06:16

zhwesky2010 reviewed Jul 29, 2026

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fix

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Manfredss mentioned this pull request Jul 30, 2026

[API Compatibility] Align paddle.Tensor.is_sparse, paddle.Tensor.type, paddle.Tensor.size api, paddle.nn.PReLU and paddle.distributions.categorical.Categorical -part PaddlePaddle/Paddle#79550

Merged

Manfredss added 5 commits July 30, 2026 08:08

delete same conversion param for nn.functional.softmin

22d59d6

enhance three Tensor api tests, enhance Categorical tests, and PReLU …

7f11a54

…tests

still fix split typo

5362b97

clean

1f99f24

split root cause

d9a9a74

zhwesky2010 reviewed Aug 2, 2026

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Manfredss added 3 commits August 7, 2026 02:36

fix

5cd351e

add reason for check_value=False

770552a

fix backslash

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zhwesky2010 reviewed Aug 10, 2026

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Manfredss added 4 commits August 10, 2026 12:08

use paddle.compat.split rather than paddle.tensor.split, since enable…

9091b39

…_compat(level=2) in use

move the logic into apibase and remove conftest.py; adjust other file…

9472d8e

…s that could affect running env

simplify logic

92a4697

manage context, especially for paddle.nn.Softmin

fa9523e

zhwesky2010 reviewed Aug 14, 2026

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delete comments

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zhwesky2010 approved these changes Aug 17, 2026

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zhwesky2010 merged commit 0c0019e into PaddlePaddle:master Aug 17, 2026
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		has_torch_package = bool(self.imports_map[self.file]["torch_packages"])

		has_enable_compat = any(

		@@ -40,11 +40,15 @@ echo "Checking code gpu unit test by pytest ..."
		set +e

		PYTEST_IGNORE=(

		@@ -0,0 +1,256 @@
		# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.

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