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Author SHA1 Message Date
Kevin P Murphy 784aa78f7c update jaxtyped decorator (#44)
* update jaxtyped decorator

* add newline character to pacify flake

* add precomit hooks

* add missing return statement

* replace typing_extensions>=4.2.0 with typing_extensions

* pin version range for typing_extensions

* set min version of typing-extensions but not max

* bump version number to 0.2.8
2022-11-13 22:25:28 -08:00
Patrick Kidger 3f877c0dbb Update array_types.py (#41) 2022-11-08 22:52:17 -08:00
Patrick Kidger 607f3c66b5 Silenced warning (#40) 2022-10-28 15:19:52 -07:00
Peter Roelants d3651ca70e NamedTuple example (#36) 2022-10-03 07:40:51 -07:00
Patrick Kidger d246e21281 Better import hook (#35) 2022-09-25 23:28:40 -07:00
Patrick Kidger 165065756f Static type-checking fix (#34) 2022-09-24 18:27:22 -07:00
ebrevdo dcd73e3431 Add support for e.g. jaxtyping.Float[Union[...], ...] in py3.8 (#31)
* Add support for e.g. jaxtyping.Float[Union[...], ...] in py3.8

Turns out that python3.8, Union lacks the __name__ attribute.  Use repr()
in these cases.

* Fix linter.

* Remove implicit cast to bool in favor of try/except.
2022-09-22 13:25:29 -07:00
Patrick Kidger f175c7f315 Fixed py.type not being packaged (#30) 2022-09-22 12:16:25 -07:00
Patrick Kidger da8300ec6c tidyness tweak (#28) 2022-09-20 15:16:52 -07:00
Patrick Kidger 39439c2790 More fixes (#27)
* Edge-case doc fixes for parameterising types with PyTrees or AbstractDtypes

* Fixes for threading

* version bump
2022-09-20 15:12:21 -07:00
9 changed files with 152 additions and 44 deletions
+2 -2
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@@ -1,2 +1,2 @@
include LICENSE
prune tests
include jaxtyping/py.typed
prune test
+12 -8
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@@ -20,14 +20,18 @@
import typing
if getattr(typing, "GENERATING_DOCUMENTATION", False):
class Array:
pass
Array.__module__ = "builtins"
else:
if typing.TYPE_CHECKING:
# type checkers don't know which branch below will be executed
from jax.numpy import ndarray as Array
else:
if getattr(typing, "GENERATING_DOCUMENTATION", False):
class Array:
pass
Array.__module__ = "builtins"
else:
from jax.numpy import ndarray as Array
from .array_types import (
AbstractArray,
@@ -63,4 +67,4 @@ from .import_hook import install_import_hook
from .pytree_type import PyTree
__version__ = "0.2.3"
__version__ = "0.2.8"
+21 -13
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@@ -150,25 +150,25 @@ class _MetaAbstractArray(type):
if cls.dtypes is not _any_dtype and dtype not in cls.dtypes:
return False
if len(storage.memo_stack) == 0:
no_temp_memo = hasattr(storage, "memo_stack") and len(storage.memo_stack) != 0
if no_temp_memo:
single_memo, variadic_memo, variadic_broadcast_memo = storage.memo_stack[-1]
# Make a copy so we don't mutate the original memo during the shape check.
single_memo = single_memo.copy()
variadic_memo = variadic_memo.copy()
variadic_broadcast_memo = variadic_broadcast_memo.copy()
else:
# `isinstance` happening outside any @jaxtyped decorators, e.g. at the
# global scope. In this case just create a temporary memo, since we're not
# going to be comparing against any stored values anyway.
single_memo = {}
variadic_memo = {}
variadic_broadcast_memo = {}
temp_memo = True
else:
single_memo, variadic_memo, variadic_broadcast_memo = storage.memo_stack[-1]
# Make a copy so we don't mutate the original memo during the shape check.
single_memo = single_memo.copy()
variadic_memo = variadic_memo.copy()
variadic_broadcast_memo = variadic_broadcast_memo.copy()
temp_memo = False
if cls._check_shape(obj, single_memo, variadic_memo, variadic_broadcast_memo):
# We update the memo every time we successfully pass a shape check
if not temp_memo:
if no_temp_memo:
storage.memo_stack[-1] = (
single_memo,
variadic_memo,
@@ -383,10 +383,15 @@ class _MetaAbstractDtype(type):
elem = compile(elem, "<string>", "eval")
elem = _SymbolicDim(elem, broadcastable)
dims.append(elem)
# In python 3.8, e.g., typing.Union lacks `__name__`.
try:
type_str = array_type.__name__
except AttributeError:
type_str = repr(array_type)
if _array_name_format == "dtype_and_shape":
name = f"{cls.__name__}[{array_type.__name__}, '{dim_str}']"
name = f"{cls.__name__}[{type_str}, '{dim_str}']"
elif _array_name_format == "array":
name = array_type.__name__
name = type_str
else:
raise ValueError(f"array_name_format {_array_name_format} not recognised")
out = _MetaAbstractArray(
@@ -474,7 +479,10 @@ else:
_Cls.__name__ = name
_Cls.__qualname__ = name
_Cls.__module__ = "jaxtyping"
if getattr(typing, "GENERATING_DOCUMENTATION", False):
_Cls.__module__ = "builtins"
else:
_Cls.__module__ = "jaxtyping"
return _Cls
UInt8 = _make_dtype(_uint8, "UInt8")
+7 -1
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@@ -18,6 +18,7 @@
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import functools as ft
import inspect
import threading
@@ -44,4 +45,9 @@ class _Jaxtyped:
def jaxtyped(fn):
return ft.wraps(fn)(_Jaxtyped(fn))
if inspect.isclass(fn): # allow decorators on class definitions
init = jaxtyped(fn.__init__)
fn.__init__ = init
return fn
else:
return ft.wraps(fn)(_Jaxtyped(fn))
+25 -9
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@@ -65,7 +65,9 @@ def _call_with_frames_removed(f, *args, **kwargs):
def _optimized_cache_from_source(path, debug_override=None):
return cache_from_source(path, debug_override, optimization="jaxtyping")
# Version 2: change the position of the `@jaxtyped` decorator, so need a
# different name to avoid hitting old __pycache__
return cache_from_source(path, debug_override, optimization="jaxtyping2")
class _JaxtypingTransformer(ast.NodeVisitor):
@@ -99,10 +101,16 @@ class _JaxtypingTransformer(ast.NodeVisitor):
has_annotated_args = any(arg for arg in node.args.args if arg.annotation)
has_annotated_return = bool(node.returns)
if has_annotated_args or has_annotated_return:
# Place at the start of the decorator list, in case a typechecking
# annotation has been manually applied; we need to be above that.
node.decorator_list.insert(
0,
# Place at the end of the decorator list, as otherwise we wrap e.g.
# `jax.custom_{jvp,vjp}` and lose the ability to `defjvp` etc.
#
# Note that the counter-argument here is that we'd like to place this
# at the start of the decorator list, in case a typechecking annotation
# has been manually applied, and we'd need to be above that. In this
# case we're just going to have to need to ask the user to remove their
# typechecking annotation (and let this decorator do it instead).
# It's more important we be compatible with normal JAX code.
node.decorator_list.append(
ast.Attribute(
ast.Name(id="jaxtyping", ctx=ast.Load()), "jaxtyped", ast.Load()
),
@@ -230,8 +238,16 @@ def install_import_hook(
- `typechecker`: the module and function of the typechecker you want to use, as a
2-tuple of strings. For example `typechecker=("typeguard", "typechecked")` or
`typechecker=("beartype", "beartype")`. You may pass `typechecker=None` if you
do not want to automatically decorate with a typechecker as well; e.g. if you
have a codebase that already has these decorators.
do not want to automatically decorate with a typechecker as well.
If the function already has any decorators on it, then both the `@jaxtyped` and the
typechecker decorators will go at the bottom of the decorator list, e.g.
```python
@some_other_decorator
@jaxtyped
@beartype.beartype
def foo(...): ...
```
**Returns:**
@@ -243,8 +259,8 @@ def install_import_hook(
```python
# entry_point.py
from jaxtyped import install_import_hook
install_import_hook("main", ("beartype", "beartype"))
import main
with install_import_hook("main", ("beartype", "beartype"))
import main
... # do whatever you're doing
# main.py
+22 -7
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@@ -18,9 +18,11 @@
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import functools as ft
from typing import Generic, TypeVar
import typing
from typing import Generic, TYPE_CHECKING, TypeVar
from typing_extensions import Protocol
import jax
import jax.tree_util as jtu
import typeguard
@@ -51,7 +53,10 @@ class _MetaPyTree(type):
def __getitem__(cls, item):
name = str(_FakePyTree[item])
out = _MetaSubscriptPyTree(name, (), {"leaftype": item})
out.__module__ = "jaxtyping"
if getattr(typing, "GENERATING_DOCUMENTATION", False):
out.__module__ = "builtins"
else:
out.__module__ = "jaxtyping"
return out
@@ -78,12 +83,22 @@ class _MetaSubscriptPyTree(type):
else:
return True
leaves = jax.tree_leaves(obj, is_leaf=is_leaftype)
leaves = jtu.tree_leaves(obj, is_leaf=is_leaftype)
return all(map(is_leaftype, leaves))
PyTree = _MetaPyTree("PyTree", (), {})
PyTree.__module__ = "jaxtyping"
if TYPE_CHECKING:
# Work around pytype bug #1288
# pytype: skip-file
class PyTree(Protocol[_T]):
pass
else:
PyTree = _MetaPyTree("PyTree", (), {})
if getattr(typing, "GENERATING_DOCUMENTATION", False):
PyTree.__module__ = "builtins"
else:
PyTree.__module__ = "jaxtyping"
# Can't do `class PyTree(Generic[_T]): ...` because we need to override the
# instancecheck for PyTree[foo], but we subclassing
# instancecheck for PyTree[foo], but subclassing
# `type(Generic[int])`, i.e. `typing._GenericAlias` is disallowed.
+5 -1
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@@ -67,11 +67,14 @@ python_requires = "~=3.7"
# We use typeguard internally (in a fairly minimal way), but it's not required that
# end users make the same choice.
# For typing_extensions, we choose versions that match
# https://github.com/explosion/confection/blob/main/setup.cfg#L33 used in colab
install_requires = [
"jax>=0.3.4",
"numpy>=1.20.0",
"typeguard>=2.13.3",
"typing_extensions>=4.2.0",
"typing_extensions>=3.7.4.1",
]
entry_points = dict(pytest11=["jaxtyping = jaxtyping.pytest_plugin"])
@@ -94,4 +97,5 @@ setuptools.setup(
install_requires=install_requires,
entry_points=entry_points,
packages=[name],
include_package_data=True,
)
+31 -1
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@@ -17,7 +17,7 @@
# 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.
from typing import Tuple, Union
from typing import NamedTuple, Tuple, Union
import equinox as eqx
import jax
@@ -155,3 +155,33 @@ def test_pytree_tuple(typecheck):
g([1, 1])
with pytest.raises(ParamError):
g([(1, 1), "hi"])
def test_pytree_namedtuple(typecheck):
class CustomNamedTuple(NamedTuple):
x: Float[jnp.ndarray, "a b"]
y: Float[jnp.ndarray, "b c"]
class OtherCustomNamedTuple(NamedTuple):
x: Float[jnp.ndarray, "a b"]
y: Float[jnp.ndarray, "b c"]
@typecheck
def g(x: PyTree[CustomNamedTuple]):
...
g(
CustomNamedTuple(
x=jax.random.normal(jax.random.PRNGKey(42), (3, 2)),
y=jax.random.normal(jax.random.PRNGKey(420), (2, 5)),
)
)
with pytest.raises(ParamError):
g(object())
with pytest.raises(ParamError):
g(
OtherCustomNamedTuple(
x=jax.random.normal(jax.random.PRNGKey(42), (3, 2)),
y=jax.random.normal(jax.random.PRNGKey(420), (2, 5)),
)
)
+27 -2
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@@ -25,7 +25,22 @@ from typeguard import typechecked
from jaxtyping import Array, Float, jaxtyped
def test_threading():
class _ErrorableThread(threading.Thread):
def run(self):
try:
super().run()
except Exception as e:
self.exc = e
finally:
del self._target, self._args, self._kwargs
def join(self, timeout=None):
super().join(timeout)
if hasattr(self, "exc"):
raise self.exc
def test_threading_jaxtyped():
@jaxtyped
@typechecked
def add(x: Float[Array, "a b"], y: Float[Array, "a b"]) -> Float[Array, "a b"]:
@@ -36,6 +51,16 @@ def test_threading():
b = jnp.array([[2.0, 3.0]])
add(a, b)
thread = threading.Thread(target=run)
thread = _ErrorableThread(target=run)
thread.start()
thread.join()
def test_threading_nojaxtyped():
def run():
a = jnp.array([[1.0, 2.0]])
assert isinstance(a, Float[Array, "..."])
thread = _ErrorableThread(target=run)
thread.start()
thread.join()