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7 Commits
Author SHA1 Message Date
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
Patrick Kidger 6202dcc639 doc fix (#26) 2022-09-19 23:30:29 -07:00
7 changed files with 117 additions and 34 deletions
+2 -2
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@@ -1,2 +1,2 @@
include LICENSE
prune tests
include jaxtyping/py.typed
prune test
+16 -2
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@@ -17,7 +17,21 @@
# 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 jax.numpy import ndarray as Array
import typing
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,
@@ -53,4 +67,4 @@ from .import_hook import install_import_hook
from .pytree_type import PyTree
__version__ = "0.2.2"
__version__ = "0.2.7"
+26 -14
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@@ -19,6 +19,7 @@
import enum
import functools as ft
import typing
from typing import Any, Dict, List, NoReturn, Optional, Tuple, TYPE_CHECKING, Union
from typing_extensions import Literal
@@ -149,25 +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,
@@ -383,9 +384,14 @@ class _MetaAbstractDtype(type):
elem = _SymbolicDim(elem, broadcastable)
dims.append(elem)
if _array_name_format == "dtype_and_shape":
name = f"{cls.__name__}[{array_type.__name__}, '{dim_str}']"
# In python 3.8, e.g., typing.Union lacks `__name__`.
try:
type_str = array_type.__name__
except AttributeError:
type_str = repr(array_type)
name = f"{cls.__name__}[{type_str}, '{dim_str}']"
elif _array_name_format == "array":
name = "Array"
name = array_type.__name__
else:
raise ValueError(f"array_name_format {_array_name_format} not recognised")
out = _MetaAbstractArray(
@@ -398,7 +404,10 @@ class _MetaAbstractDtype(type):
index_variadic=index_variadic,
),
)
out.__module__ = "jaxtyping"
if getattr(typing, "GENERATING_DOCUMENTATION", False):
out.__module__ = "builtins"
else:
out.__module__ = "jaxtyping"
return out
@@ -470,7 +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")
+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
+20 -5
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@@ -18,7 +18,9 @@
# 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 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
@@ -82,8 +87,18 @@ class _MetaSubscriptPyTree(type):
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.
+1
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@@ -94,4 +94,5 @@ setuptools.setup(
install_requires=install_requires,
entry_points=entry_points,
packages=[name],
include_package_data=True,
)
+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()