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PyO3: Better shape handling (#1143)

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* Negative and `*args` shape handling

* Rename to `PyShapeWithHole` + validate that only one hole exists

* Regenerate stubs

---------

Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
This commit is contained in:
Lukas Kreussel
2023-10-29 16:41:44 +01:00
committed by GitHub
parent 154c674a79
commit 174b208052
10 changed files with 181 additions and 50 deletions
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16
candle-pyo3/py_src/candle/__init__.pyi
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@ -1,7 +1,7 @@
# Generated content DO NOT EDIT
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, Sequence
from os import PathLike
from candle.typing import _ArrayLike, Device, Scalar, Index
from candle.typing import _ArrayLike, Device, Scalar, Index, Shape
class bf16(DType):
pass
@ -26,21 +26,21 @@ class i64(DType):
pass
@staticmethod
def ones(shape: Sequence[int], dtype: Optional[DType] = None, device: Optional[Device] = None) -> Tensor:
def ones(*shape: Shape, dtype: Optional[DType] = None, device: Optional[Device] = None) -> Tensor:
"""
Creates a new tensor filled with ones.
"""
pass
@staticmethod
def rand(shape: Sequence[int], device: Optional[Device] = None) -> Tensor:
def rand(*shape: Shape, device: Optional[Device] = None) -> Tensor:
"""
Creates a new tensor with random values.
"""
pass
@staticmethod
def randn(shape: Sequence[int], device: Optional[Device] = None) -> Tensor:
def randn(*shape: Shape, device: Optional[Device] = None) -> Tensor:
"""
Creates a new tensor with random values from a normal distribution.
"""
@ -67,7 +67,7 @@ class u8(DType):
pass
@staticmethod
def zeros(shape: Sequence[int], dtype: Optional[DType] = None, device: Optional[Device] = None) -> Tensor:
def zeros(*shape: Shape, dtype: Optional[DType] = None, device: Optional[Device] = None) -> Tensor:
"""
Creates a new tensor filled with zeros.
"""
@ -174,7 +174,7 @@ class Tensor:
Adds the two tensors, while broadcasting the right-hand-side tensor to match the shape of the left-hand-side tensor.
"""
pass
def broadcast_as(self, shape: Sequence[int]) -> Tensor:
def broadcast_as(self, *shape: Shape) -> Tensor:
"""
Broadcasts the tensor to the given shape.
"""
@ -184,7 +184,7 @@ class Tensor:
Divides the two tensors, while broadcasting the right-hand-side tensor to match the shape of the left-hand-side tensor.
"""
pass
def broadcast_left(self, shape: Sequence[int]) -> Tensor:
def broadcast_left(self, *shape: Shape) -> Tensor:
"""
Broadcasts the tensor to the given shape, adding new dimensions on the left.
"""
@ -329,7 +329,7 @@ class Tensor:
Get the `recip` of the tensor.
"""
pass
def reshape(self, shape: Sequence[int]) -> Tensor:
def reshape(self, *shape: Shape) -> Tensor:
"""
Reshapes the tensor to the given shape.
"""

2
candle-pyo3/py_src/candle/functional/__init__.pyi
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@ -1,7 +1,7 @@
# Generated content DO NOT EDIT
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, Sequence
from os import PathLike
from candle.typing import _ArrayLike, Device, Scalar, Index
from candle.typing import _ArrayLike, Device, Scalar, Index, Shape
from candle import Tensor, DType, QTensor
@staticmethod

2
candle-pyo3/py_src/candle/typing/__init__.py
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@ -18,3 +18,5 @@ Device = TypeVar("Device", CPU, CUDA)
Scalar = Union[int, float]
Index = Union[int, slice, None, "Ellipsis"]
Shape = Union[int, Sequence[int]]

2
candle-pyo3/py_src/candle/utils/__init__.pyi
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@ -1,7 +1,7 @@
# Generated content DO NOT EDIT
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, Sequence
from os import PathLike
from candle.typing import _ArrayLike, Device, Scalar, Index
from candle.typing import _ArrayLike, Device, Scalar, Index, Shape
from candle import Tensor, DType, QTensor
@staticmethod