8000 `tensorflow`: add `tf.linalg` module by hoel-bagard · Pull Request #11386 · python/typeshed · GitHub
[go: up one dir, main page]
Skip to content

tensorflow: add tf.linalg module #11386

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 5 commits into from
Feb 17, 2024
Merged

tensorflow: add tf.linalg module #11386

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
02a6721
Add some linalg stubs
hoel-bagard Feb 9, 2024
a5372f0
Update stubs/tensorflow/tensorflow/linalg.pyi
hoel-bagard Feb 17, 2024
28ae404
fix: re-export eye from tf
hoel-bagard Feb 17, 2024
6e2d07a
fix: eye's batch_shape
hoel-bagard Feb 17, 2024
ece7680
add and use Integer type alias.
hoel-bagard Feb 17, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions stubs/tensorflow/tensorflow/__init__.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ from tensorflow.core.protobuf import struct_pb2
from tensorflow.dtypes import *
from tensorflow.dtypes import DType as DType
from tensorflow.keras import losses as losses
from tensorflow.linalg import eye as eye

# Most tf.math functions are exported as tf, but sadly not all are.
from tensorflow.math import (
Expand Down
1 change: 1 addition & 0 deletions stubs/tensorflow/tensorflow/_aliases.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@ class KerasSerializable2(Protocol):

KerasSerializable: TypeAlias = KerasSerializable1 | KerasSerializable2

Integer: TypeAlias = tf.Tensor | int | IntArray | np.number[Any] # Here tf.Tensor and IntArray are assumed to be 0D.
Slice: TypeAlias = int | slice | None
FloatDataSequence: TypeAlias = Sequence[float] | Sequence[FloatDataSequence]
StrDataSequence: TypeAlias = Sequence[str] | Sequence[StrDataSequence]
Expand Down
52 changes: 52 additions & 0 deletions stubs/tensorflow/tensorflow/linalg.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@
from _typeshed import Incomplete
from builtins import bool as _bool
from collections.abc import Iterable
from typing import Literal, overload

import tensorflow as tf
from tensorflow import RaggedTensor, Tensor, norm as norm
from tensorflow._aliases import DTypeLike, IntArray, Integer, ScalarTensorCompatible, TensorCompatible
from tensorflow.math import l2_normalize as l2_normalize

@overload
def matmul(
a: TensorCompatible,
b: TensorCompatible,
transpose_a: _bool = False,
transpose_b: _bool = False,
adjoint_a: _bool = False,
adjoint_b: _bool = False,
a_is_sparse: _bool = False,
b_is_sparse: _bool = False,
output_type: DTypeLike | None = None,
name: str | None = None,
) -> Tensor: ...
@overload
def matmul(
a: RaggedTensor,
b: RaggedTensor,
transpose_a: _bool = False,
transpose_b: _bool = False,
adjoint_a: _bool = False,
adjoint_b: _bool = False,
a_is_sparse: _bool = False,
b_is_sparse: _bool = False,
output_type: DTypeLike | None = None,
name: str | None = None,
) -> RaggedTensor: ...
def set_diag(
input: TensorCompatible,
diagonal: TensorCompatible,
name: str | None = "set_diag",
k: int = 0,
align: Literal["RIGHT_LEFT", "RIGHT_RIGHT", "LEFT_LEFT", "LEFT_RIGHT"] = "RIGHT_LEFT",
) -> Tensor: ...
def eye(
num_rows: ScalarTensorCompatible,
num_columns: ScalarTensorCompatible | None = None,
batch_shape: Iterable[int] | IntArray | tf.Tensor | None = None,
dtype: DTypeLike = ...,
name: str | None = None,
) -> Tensor: ...
def band_part(input: TensorCompatible, num_lower: Integer, num_upper: Integer, name: str | None = None) -> Tensor: ...
def __getattr__(name: str) -> Incomplete: ...
0