Drop init message (#3151)

### Changes

- As stated in the title.

### Reason for changes

- Follow up #3138

### Related tickets

- N/A

### Tests

- N/A

nncf/__init__.py

@@ -87,8 +87,3 @@
         "Please install one of the supported frameworks above in order to use NNCF on top of it.\n"
         "See the installation guide at https://github.com/openvinotoolkit/nncf#installation-guide for help."
     )
-else:
-    nncf_logger.info(
-        f"NNCF initialized successfully. Supported frameworks detected: "
-        f"{', '.join([name for name, loaded in _AVAILABLE_FRAMEWORKS.items() if loaded])}"
-    )

nncf/common/utils/backend.py

@@ -8,10 +8,9 @@
 # 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 importlib
 from copy import deepcopy
 from enum import Enum
-from typing import Any, Callable, List, TypeVar
+from typing import Any, Callable, TypeVar
 
 import nncf
 
@@ -30,37 +29,12 @@ def result_verifier(func: Callable[[TModel], bool]) -> Callable[..., None]:
     def verify_result(*args: Any, **kwargs: Any):  # type: ignore
         try:
             return func(*args, **kwargs)
-        except AttributeError:
+        except Exception:
             return False
 
     return verify_result
 
 
-def get_available_backends() -> List[BackendType]:
-    """
-    Returns a list of available backends.
-
-    :return: A list of available backends.
-    """
-    frameworks = [
-        ("torch", BackendType.TORCH),
-        ("torch.fx", BackendType.TORCH_FX),
-        ("tensorflow", BackendType.TENSORFLOW),
-        ("onnx", BackendType.ONNX),
-        ("openvino.runtime", BackendType.OPENVINO),
-    ]
-
-    available_backends = []
-    for module_name, backend in frameworks:
-        try:
-            importlib.import_module(module_name)
-            available_backends.append(backend)
-        except ImportError:
-            pass
-
-    return available_backends
-
-
 @result_verifier
 def is_torch_model(model: TModel) -> bool:
     """
@@ -147,27 +121,22 @@ def get_backend(model: TModel) -> BackendType:
     :param model: The framework-specific model.
     :return: A BackendType representing the correct NNCF backend to be used when working with the framework.
     """
-    available_backends = get_available_backends()
-
-    if BackendType.TORCH_FX in available_backends and is_torch_fx_model(model):
-        return BackendType.TORCH_FX
-
-    if BackendType.TORCH in available_backends and is_torch_model(model):
-        return BackendType.TORCH
-
-    if BackendType.TENSORFLOW in available_backends and is_tensorflow_model(model):
-        return BackendType.TENSORFLOW
 
-    if BackendType.ONNX in available_backends and is_onnx_model(model):
-        return BackendType.ONNX
+    verify_map = {
+        is_torch_fx_model: BackendType.TORCH_FX,
+        is_torch_model: BackendType.TORCH,
+        is_tensorflow_model: BackendType.TENSORFLOW,
+        is_onnx_model: BackendType.ONNX,
+        is_openvino_model: BackendType.OPENVINO,
+    }
 
-    if BackendType.OPENVINO in available_backends and is_openvino_model(model):
-        return BackendType.OPENVINO
+    for backend_call, backend in verify_map.items():
+        if backend_call(model):
+            return backend
 
     raise nncf.UnsupportedBackendError(
         "Could not infer the backend framework from the model type because "
         "the framework is not available or corrupted, or the model type is unsupported. "
-        "The available frameworks found: {}.".format(", ".join([b.value for b in available_backends]))
     )