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e9611eb090
Expose ad_util.stop_gradient_p as jax.lax.stop_gradient_p. stop_gradient() is already under the external lax namespace. PiperOrigin-RevId: 378011152
91 lines
2.5 KiB
Python
91 lines
2.5 KiB
Python
# Copyright 2018 Google LLC
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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 typing import Any, Callable, Dict, Type
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from jax import core
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from jax.core import (lattice_join, Primitive, Unit, unit, AbstractUnit,
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valid_jaxtype, raise_to_shaped, get_aval)
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from jax.tree_util import register_pytree_node
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from jax._src.util import safe_map
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from jax._src import traceback_util
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traceback_util.register_exclusion(__file__)
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Array = Any
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map = safe_map
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jaxval_adders: Dict[type, Callable] = {}
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jaxval_adders[Unit] = lambda _, __: unit
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def add_jaxvals(x, y):
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if core.get_aval(x) is core.abstract_unit is core.get_aval(y):
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return core.unit
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else:
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return add_jaxvals_p.bind(x, y)
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add_jaxvals_p: Primitive = Primitive('add_any')
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add_any_p = add_jaxvals_p
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@add_jaxvals_p.def_impl
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def add_impl(xs, ys):
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return jaxval_adders[type(xs)](xs, ys)
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@add_jaxvals_p.def_abstract_eval
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def add_abstract(xs, ys):
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return lattice_join(xs, ys)
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jaxval_zeros_likers: Dict[type, Array] = {}
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def zeros_like_aval(aval):
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return aval_zeros_likers[type(aval)](aval)
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aval_zeros_likers: Dict[Type[core.AbstractValue], Array] = {}
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aval_zeros_likers[AbstractUnit] = lambda _: unit
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def zeros_like_jaxval(val):
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return zeros_like_p.bind(val)
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zeros_like_p: Primitive = Primitive('zeros_like')
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@zeros_like_p.def_impl
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def zeros_like_impl(example):
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return jaxval_zeros_likers[type(example)](example)
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zeros_like_p.def_abstract_eval(lambda x: x)
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class Zero:
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__slots__ = ['aval']
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def __init__(self, aval):
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self.aval = aval
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def __repr__(self):
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return 'Zero({})'.format(self.aval)
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@staticmethod
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def from_value(val):
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return Zero(raise_to_shaped(get_aval(val)))
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register_pytree_node(Zero, lambda z: ((), z.aval), lambda aval, _: Zero(aval))
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def _stop_gradient_impl(x):
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if not valid_jaxtype(x):
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raise TypeError("stop_gradient only works on valid JAX arrays, but "
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f"input argument is: {x}")
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return x
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stop_gradient_p : Primitive = Primitive('stop_gradient')
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stop_gradient_p.def_impl(_stop_gradient_impl)
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stop_gradient_p.def_abstract_eval(lambda x: x)
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