Improve errors for layer validation

pytest.ini

@@ -4,3 +4,4 @@ markers =
     rocm_only: marks tests that should only run on hosts with ROCm GPUs
     darwin_only: marks tests that should only run on macOS
     xpu_only: marks tests that should only run on hosts with Intel XPUs
+    token: enable tests that require a write token

src/kernels/layer.py

@@ -316,7 +316,7 @@ def __hash__(self):
         return hash((self.layer_name, self._repo_id, self._revision, self._version))
 
     def __str__(self) -> str:
-        return f"`{self._repo_id}` (revision: {self._resolve_revision()}) for layer `{self.layer_name}`"
+        return f"`{self._repo_id}` (revision: {self._resolve_revision()}), layer `{self.layer_name}`"
 
 
 class LocalLayerRepository:
@@ -372,7 +372,7 @@ def __hash__(self):
         return hash((self.layer_name, self._repo_path, self._package_name))
 
     def __str__(self) -> str:
-        return f"`{self._repo_path}` (package: {self._package_name}) for layer `{self.layer_name}`"
+        return f"`{self._repo_path}` (package: {self._package_name}), layer `{self.layer_name}`"
 
 
 class LockedLayerRepository:
@@ -427,7 +427,7 @@ def __hash__(self):
         return hash((self.layer_name, self._repo_id))
 
     def __str__(self) -> str:
-        return f"`{self._repo_id}` (revision: {self._resolve_revision()}) for layer `{self.layer_name}`"
+        return f"`{self._repo_id}` (revision: {self._resolve_revision()}), layer `{self.layer_name}`"
 
 
 _CACHED_LAYER: Dict[LayerRepositoryProtocol, Type["nn.Module"]] = {}
@@ -1020,7 +1020,7 @@ def _get_kernel_layer(repo: LayerRepositoryProtocol) -> Type["nn.Module"]:
     return layer
 
 
-def _validate_layer(*, check_cls, cls):
+def _validate_layer(*, check_cls, cls, repo: LayerRepositoryProtocol):
     import torch.nn as nn
 
     # The layer must have at least have the following properties: (1) it
@@ -1029,34 +1029,36 @@ def _validate_layer(*, check_cls, cls):
     # methods.
 
     if not issubclass(cls, nn.Module):
-        raise TypeError(f"Layer `{cls}` is not a Torch layer.")
+        raise TypeError(f"Layer `{cls.__name__}` is not a Torch layer.")
 
     # We verify statelessness by checking that the does not have its own
     # constructor (since the constructor could add member variables)...
     if cls.__init__ is not nn.Module.__init__:
-        raise TypeError("Layer must not override nn.Module constructor.")
+        raise TypeError(f"{repo} must not override nn.Module constructor.")
 
     # ... or predefined member variables.
     torch_module_members = {name for name, _ in inspect.getmembers(nn.Module)}
     cls_members = {name for name, _ in inspect.getmembers(cls)}
     difference = cls_members - torch_module_members
     # verify if : difference ⊄ {"can_torch_compile", "has_backward"}
     if not difference <= {"can_torch_compile", "has_backward"}:
-        raise TypeError("Layer must not contain additional members.")
+        raise TypeError(
+            f"{repo} must not contain additional members compared to `{check_cls.__name__}`."
+        )
 
     # Check whether the forward signatures are similar.
     params = inspect.signature(cls.forward).parameters
     ref_params = inspect.signature(check_cls.forward).parameters
 
     if len(params) != len(ref_params):
         raise TypeError(
-            "Forward signature does not match: different number of arguments."
+            f"Forward signature of {repo} does not match `{check_cls.__name__}`: different number of arguments."
         )
 
     for param, ref_param in zip(params.values(), ref_params.values()):
         if param.kind != ref_param.kind:
             raise TypeError(
-                f"Forward signature does not match: different kind of arguments ({param} ({param.kind}) and {ref_param} ({ref_param.kind})"
+                f"Forward signature of {repo} does not match `{check_cls.__name__}`: different kind of arguments ({param} ({param.kind}) and {ref_param} ({ref_param.kind})"
             )
 
 
@@ -1173,7 +1175,7 @@ def _get_layer_memoize(
         return layer
 
     layer = _get_kernel_layer(repo)
-    _validate_layer(check_cls=module_class, cls=layer)
+    _validate_layer(check_cls=module_class, cls=layer, repo=repo)
     _CACHED_LAYER[repo] = layer
 
     return layer

tests/conftest.py

@@ -20,6 +20,14 @@
 )
 
 
+def pytest_addoption(parser):
+    parser.addoption(
+        "--token",
+        action="store_true",
+        help="run tests that require a token with write permissions",
+    )
+
+
 def pytest_runtest_setup(item):
     if "cuda_only" in item.keywords and not has_cuda:
         pytest.skip("skipping CUDA-only test on host without CUDA")
@@ -29,3 +37,5 @@ def pytest_runtest_setup(item):
         pytest.skip("skipping macOS-only test on non-macOS platform")
     if "xpu_only" in item.keywords and not has_xpu:
         pytest.skip("skipping XPU-only test on host without XPU")
+    if "token" in item.keywords and not item.config.getoption("--token"):
+        pytest.skip("need --token option to run this test")

tests/test_kernel_upload.py

@@ -67,11 +67,7 @@ def get_filenames_from_a_repo(repo_id: str) -> List[str]:
         logging.error(f"Error connecting to the Hub: {e}.")
 
 
-@pytest.mark.xfail(
-    condition=os.environ.get("GITHUB_ACTIONS") == "true",
-    reason="There is something weird when writing to the Hub from a GitHub CI.",
-    strict=True,
-)
+@pytest.mark.token
 def test_kernel_upload_deletes_as_expected():
     repo_filenames = get_filenames_from_a_repo(REPO_ID)
     filename_to_change = get_filename_to_change(repo_filenames)

tests/test_layer.py

@@ -480,26 +480,43 @@ def __init__(self, *args, **kwargs):
             super().__init__(*args, **kwargs)
             self.foo = 42
 
-    with pytest.raises(TypeError, match="not override"):
-        _validate_layer(cls=BadLayer, check_cls=SiluAndMul)
+    def stub_repo(layer):
+        return LayerRepository(
+            repo_id="kernels-test/nonexisting", layer_name=layer.__name__
+        )
+
+    with pytest.raises(
+        TypeError,
+        match="`kernels-test/nonexisting`.*layer `BadLayer` must not override",
+    ):
+        _validate_layer(cls=BadLayer, check_cls=SiluAndMul, repo=stub_repo(BadLayer))
 
     class BadLayer2(nn.Module):
         foo: int = 42
 
-    with pytest.raises(TypeError, match="not contain additional members"):
-        _validate_layer(cls=BadLayer2, check_cls=SiluAndMul)
+    with pytest.raises(
+        TypeError,
+        match="`kernels-test/nonexisting`.*layer `BadLayer2` must not contain.*SiluAndMul",
+    ):
+        _validate_layer(cls=BadLayer2, check_cls=SiluAndMul, repo=stub_repo(BadLayer2))
 
     class BadLayer3(nn.Module):
         def forward(self, x: torch.Tensor, foo: int) -> torch.Tensor: ...
 
-    with pytest.raises(TypeError, match="different number of arguments"):
-        _validate_layer(cls=BadLayer3, check_cls=SiluAndMul)
+    with pytest.raises(
+        TypeError,
+        match="Forward.*`kernels-test/nonexisting`.*layer `BadLayer3` does not match `SiluAndMul`: different number of arguments",
+    ):
+        _validate_layer(cls=BadLayer3, check_cls=SiluAndMul, repo=stub_repo(BadLayer3))
 
     class BadLayer4(nn.Module):
         def forward(self, *, x: torch.Tensor) -> torch.Tensor: ...
 
-    with pytest.raises(TypeError, match="different kind of arguments"):
-        _validate_layer(cls=BadLayer4, check_cls=SiluAndMul)
+    with pytest.raises(
+        TypeError,
+        match="Forward.*`kernels-test/nonexisting`.*layer `BadLayer4` does not match `SiluAndMul`: different kind of arguments",
+    ):
+        _validate_layer(cls=BadLayer4, check_cls=SiluAndMul, repo=stub_repo(BadLayer4))
 
 
 @pytest.mark.cuda_only