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2 Commits
6 changed files with 84 additions and 13 deletions
+1 -1
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@@ -53,4 +53,4 @@ from .import_hook import install_import_hook
from .pytree_type import PyTree
__version__ = "0.2.1"
__version__ = "0.2.2"
+4 -1
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@@ -388,7 +388,7 @@ class _MetaAbstractDtype(type):
name = "Array"
else:
raise ValueError(f"array_name_format {_array_name_format} not recognised")
return _MetaAbstractArray(
out = _MetaAbstractArray(
name,
(AbstractArray,),
dict(
@@ -398,6 +398,8 @@ class _MetaAbstractDtype(type):
index_variadic=index_variadic,
),
)
out.__module__ = "jaxtyping"
return out
class AbstractDtype(metaclass=_MetaAbstractDtype):
@@ -468,6 +470,7 @@ else:
_Cls.__name__ = name
_Cls.__qualname__ = name
_Cls.__module__ = "jaxtyping"
return _Cls
UInt8 = _make_dtype(_uint8, "UInt8")
+20 -10
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@@ -22,16 +22,26 @@ import threading
storage = threading.local()
storage.memo_stack = []
class _Jaxtyped:
def __init__(self, fn):
self.fn = fn
def __get__(self, instance, owner):
return ft.wraps(self.fn)(_Jaxtyped(self.fn.__get__(instance, owner)))
def __call__(self, *args, **kwargs):
try:
memo_stack = storage.memo_stack
except AttributeError:
memo_stack = storage.memo_stack = []
memo_stack.append(({}, {}, {}))
try:
return self.fn(*args, **kwargs)
finally:
memo_stack.pop()
def jaxtyped(fn):
@ft.wraps(fn)
def wrapper(*args, **kwargs):
storage.memo_stack.append(({}, {}, {}))
try:
return fn(*args, **kwargs)
finally:
storage.memo_stack.pop()
return wrapper
return ft.wraps(fn)(_Jaxtyped(fn))
+5 -1
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@@ -33,6 +33,7 @@ class _FakePyTree(Generic[_T]):
_FakePyTree.__name__ = "PyTree"
_FakePyTree.__qualname__ = "PyTree"
_FakePyTree.__module__ = "builtins"
# Can't do type("PyTree", (Generic[_T],), {}) because dynamic subclassing of typeforms
# isn't allowed.
# Can't do types.new_class("PyTree", (Generic[_T],), {}) because that has __module__
@@ -49,7 +50,9 @@ class _MetaPyTree(type):
@ft.lru_cache(maxsize=None)
def __getitem__(cls, item):
name = str(_FakePyTree[item])
return _MetaSubscriptPyTree(name, (), {"leaftype": item})
out = _MetaSubscriptPyTree(name, (), {"leaftype": item})
out.__module__ = "jaxtyping"
return out
class _MetaSubscriptPyTree(type):
@@ -80,6 +83,7 @@ class _MetaSubscriptPyTree(type):
PyTree = _MetaPyTree("PyTree", (), {})
PyTree.__module__ = "jaxtyping"
# Can't do `class PyTree(Generic[_T]): ...` because we need to override the
# instancecheck for PyTree[foo], but we subclassing
# `type(Generic[int])`, i.e. `typing._GenericAlias` is disallowed.
+13
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@@ -0,0 +1,13 @@
from jaxtyping import jaxtyped
class M:
@jaxtyped
@classmethod
def f(cls):
return 3
# Check that the @jaxtyped decorator doesn't blat the __get__ of @classmethod
def test_decorator():
assert M.f() == 3
+41
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@@ -0,0 +1,41 @@
# Copyright (c) 2022 Google LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
# the Software, and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import threading
import jax.numpy as jnp
from typeguard import typechecked
from jaxtyping import Array, Float, jaxtyped
def test_threading():
@jaxtyped
@typechecked
def add(x: Float[Array, "a b"], y: Float[Array, "a b"]) -> Float[Array, "a b"]:
return x + y
def run():
a = jnp.array([[1.0, 2.0]])
b = jnp.array([[2.0, 3.0]])
add(a, b)
thread = threading.Thread(target=run)
thread.start()
thread.join()