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# Copyright 2023 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from dataclasses import dataclass
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import functools
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from types import ModuleType
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import warnings
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# Module __getattr__ factory that warns if deprecated names are used.
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#
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# Example usage:
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# from jax._src.interpreters.pxla import (
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# Mesh as _deprecated_Mesh,
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# )
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#
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# _deprecations = {
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# # Added Feb 8, 2023:
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# "Mesh": (
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# "jax.interpreters.pxla.Mesh is deprecated. Use jax.sharding.Mesh.",
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# _deprecated_Mesh,
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# ),
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# }
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#
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# from jax._src.deprecations import deprecation_getattr as _deprecation_getattr
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# __getattr__ = _deprecation_getattr(__name__, _deprecations)
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# del _deprecation_getattr
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# Note that type checkers such as Pytype will not know about the deprecated
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# names. If it is desirable that a deprecated name is known to the type checker,
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# add:
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# import typing
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# if typing.TYPE_CHECKING:
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# from jax._src.interpreters.pxla import (
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# Mesh as Mesh,
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# )
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# del typing
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def deprecation_getattr(module, deprecations):
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@functools.cache
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def getattr(name):
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if name in deprecations:
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message, fn = deprecations[name]
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if fn is None: # Is the deprecation accelerated?
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raise AttributeError(message)
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warnings.warn(message, DeprecationWarning, stacklevel=2)
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return fn
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raise AttributeError(f"module {module!r} has no attribute {name!r}")
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return getattr
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def accelerate_getattr_deprecation(module: ModuleType, name: str) -> None:
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"""Accelerate the deprecation of a module-level attribute.
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Raises an AttributeError instead of a DeprecationWarning upon attribute access.
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Used in Google-internal code to implement faster deprecation.
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"""
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message, _ = module._deprecations[name]
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module._deprecations[name] = (message, None)
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def is_accelerated_attribute(module: ModuleType, name: str) -> bool:
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"""Returns true if given name is accelerated.
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Raises an error if name is not a deprecated attribute in module.
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"""
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return module._deprecations[name][1] is None
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# The following mechanism is a separate one, for registering and
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# accelerating deprecations that are not imports (for example, deprecations
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# of a function argument).
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# Maps a globally unique string ID to a DeprecationState, which tracks whether
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# the deprecation is accelerated.
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# The intent is that non-accelerated deprecations will warn, and accelerated
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# deprecations will error.
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@dataclass
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class DeprecationState:
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accelerated: bool = False
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_registered_deprecations: dict[str, DeprecationState] = {}
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def register(deprecation_id: str) -> None:
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_registered_deprecations[deprecation_id] = DeprecationState()
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def unregister(deprecation_id: str) -> None:
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if deprecation_id not in _registered_deprecations:
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raise ValueError(f"{deprecation_id=!r} not registered.")
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_registered_deprecations.pop(deprecation_id)
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def accelerate(deprecation_id: str) -> None:
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if deprecation_id not in _registered_deprecations:
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raise ValueError(f"{deprecation_id=!r} not registered.")
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_registered_deprecations[deprecation_id].accelerated = True
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def is_accelerated(deprecation_id: str) -> bool:
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if deprecation_id not in _registered_deprecations:
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raise ValueError(f"{deprecation_id=!r} not registered.")
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return _registered_deprecations[deprecation_id].accelerated
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def warn(deprecation_id: str, message: str, stacklevel: int, *,
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error_class: type[Exception] = ValueError) -> None:
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"""Warns about a deprecation, or errors if the deprecation is accelerated."""
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if is_accelerated(deprecation_id):
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assert issubclass(error_class, Exception)
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raise error_class(message)
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else:
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warnings.warn(message, category=DeprecationWarning,
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stacklevel=stacklevel + 1)
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# Register a number of deprecations: we do this here to ensure they're
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# always registered by the time `accelerate` and `is_acelerated` are called.
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register('jax-array-numpy-dtype')
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register('jax-nn-one-hot-float-input')
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register('jax-numpy-astype-complex-to-real')
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