[Deprecation] Deprecate functions as scheduled for v0.21.0

docs/contributing/profiling.md

@@ -201,43 +201,45 @@ The profiling traces generated by the continuous profiling workflow are publicly
 
 The Python standard library includes
 [cProfile](https://docs.python.org/3/library/profile.html) for profiling Python
-code. vLLM includes a couple of helpers that make it easy to apply it to a section of vLLM.
-Both the `vllm.utils.profiling.cprofile` and `vllm.utils.profiling.cprofile_context` functions can be
-used to profile a section of code.
+code.
 
-!!! note
-    The `vllm.utils.profiling` helpers are deprecated and will be removed in
-    `v0.21`. Please use Python's `cProfile` module directly instead.
-
-### Example usage - decorator
+### Example usage - function call
 
-The first helper is a Python decorator that can be used to profile a function.
-If a filename is specified, the profile will be saved to that file. If no filename is
-specified, profile data will be printed to stdout.
+If a filename is specified, the profile will be saved to that file. If no
+filename is specified, profile data can be printed to stdout.
 
 ```python
-from vllm.utils.profiling import cprofile
+import cProfile
+
 
-@cprofile("expensive_function.prof")
 def expensive_function():
     # some expensive code
     pass
-```
 
-### Example Usage - context manager
 
-The second helper is a context manager that can be used to profile a block of
-code. Similar to the decorator, the filename is optional.
+profiler = cProfile.Profile()
+profiler.runcall(expensive_function)
+profiler.dump_stats("expensive_function.prof")
+```
+
+### Example usage - context manager style
 
 ```python
-from vllm.utils.profiling import cprofile_context
+import cProfile
+
 
 def another_function():
     # more expensive code
     pass
 
-with cprofile_context("another_function.prof"):
+
+profiler = cProfile.Profile()
+profiler.enable()
+try:
     another_function()
+finally:
+    profiler.disable()
+    profiler.dump_stats("another_function.prof")
 ```
 
 ### Analyzing Profile Results

docs/models/pooling_models/classify.md

@@ -299,7 +299,3 @@ Example configuration:
 ### Remove softmax from PoolingParams
 
 We have already removed `softmax` and `activation` from PoolingParams. Instead, use `use_activation`, since we allow `classify` and `token_classify` to use any activation function.
-
-### Remove `logit_bias` and `logit_scale`
-
-`logit_bias` and `logit_scale` are deprecated aliases for `logit_mean` and `logit_sigma` respectively. When using `logit_scale`, it is automatically converted to `logit_sigma = 1/logit_scale`. These deprecated parameters will be removed in v0.21.

vllm/config/pooler.py

@@ -92,18 +92,6 @@ class PoolerConfig:
     activation((logit - logit_mean) / logit_sigma). Defaults to None.
     """
 
-    # Deprecated aliases — will be removed in v0.21
-    logit_bias: float | None = None
-    """
-    Deprecated: Use logit_mean instead. Will be removed in v0.21.
-    """
-
-    logit_scale: float | None = None
-    """
-    Deprecated: Use logit_sigma instead (note: logit_sigma = 1/logit_scale).
-    Will be removed in v0.21.
-    """
-
     ## for reward models
     step_tag_id: int | None = None
     """
@@ -119,36 +107,6 @@ class PoolerConfig:
     """
 
     def __post_init__(self) -> None:
-        # Handle deprecated logit_bias → logit_mean
-        if self.logit_bias is not None:
-            if self.logit_mean is not None:
-                raise ValueError(
-                    "Cannot set both `logit_bias` and `logit_mean`. "
-                    "`logit_bias` is deprecated, use `logit_mean` instead."
-                )
-            logger.warning(
-                "`logit_bias` is deprecated and will be removed in v0.21. "
-                "Use `logit_mean` instead."
-            )
-            self.logit_mean = self.logit_bias
-            self.logit_bias = None
-
-        # Handle deprecated logit_scale → logit_sigma
-        if self.logit_scale is not None:
-            if self.logit_sigma is not None:
-                raise ValueError(
-                    "Cannot set both `logit_scale` and `logit_sigma`. "
-                    "`logit_scale` is deprecated, use `logit_sigma` instead."
-                )
-            logger.warning(
-                "`logit_scale` is deprecated and will be removed in v0.21. "
-                "Use `logit_sigma` instead (logit_sigma = 1/logit_scale)."
-            )
-            if self.logit_scale == 0:
-                raise ValueError("logit_scale cannot be 0 (division by zero)")
-            self.logit_sigma = 1.0 / self.logit_scale
-            self.logit_scale = None
-
         if self.logit_sigma is not None and self.logit_sigma == 0:
             raise ValueError("logit_sigma cannot be 0 (division by zero)")