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tensorflow: add tf.ones, tf.zeros, tf.zeros_like and tf.ones_like functions #11368

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merged 3 commits into from
Feb 17, 2024
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tensorflow: add tf.ones, tf.zeros, tf.zeros_like and tf.ones_like functions #11368

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4bb1902
feat: add tf.ones, tf.zeros, tf.zeros_like and tf.ones_like
hoel-bagard Feb 6, 2024
e2bf4c4
add __getattr__
hoel-bagard Feb 7, 2024
186a452
merge with main
hoel-bagard Feb 17, 2024
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21 changes: 20 additions & 1 deletion stubs/tensorflow/tensorflow/__init__.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@ from tensorflow.core.protobuf import struct_pb2
# is necessary to avoid a crash in pytype.
from tensorflow.dtypes import *
from tensorflow.dtypes import DType as DType
from tensorflow.experimental.dtensor import Layout
from tensorflow.keras import losses as losses

# Most tf.math functions are exported as tf, but sadly not all are.
Expand Down Expand Up @@ -406,7 +407,6 @@ class RaggedTensorSpec(TypeSpec[struct_pb2.TypeSpecProto]):
@classmethod
def from_value(cls, value: RaggedTensor) -> Self: ...

def __getattr__(name: str) -> Incomplete: ...
def convert_to_tensor(
value: TensorCompatible | IndexedSlices,
dtype: DTypeLike | None = None,
Expand Down Expand Up @@ -439,4 +439,23 @@ def cast(x: TensorCompatible, dtype: DTypeLike, name: str | None = None) -> Tens
def cast(x: SparseTensor, dtype: DTypeLike, name: str | None = None) -> SparseTensor: ...
@overload
def cast(x: RaggedTensor, dtype: DTypeLike, name: str | None = None) -> RaggedTensor: ...
def zeros(shape: ShapeLike, dtype: DTypeLike = ..., name: str | None = None, layout: Layout | None = None) -> Tensor: ...
def ones(shape: ShapeLike, dtype: DTypeLike = ..., name: str | None = None, layout: Layout | None = None) -> Tensor: ...
@overload
def zeros_like(
input: TensorCompatible | IndexedSlices, dtype: DTypeLike | None = None, name: str | None = None, layout: Layout | None = None
) -> Tensor: ...
@overload
def zeros_like(
input: RaggedTensor, dtype: DTypeLike | None = None, name: str | None = None, layout: Layout | None = None
) -> RaggedTensor: ...
@overload
def ones_like(
input: TensorCompatible, dtype: DTypeLike | None = None, name: str | None = None, layout: Layout | None = None
) -> Tensor: ...
@overload
def ones_like(
input: RaggedTensor, dtype: DTypeLike | None = None, name: str | None = None, layout: Layout | None = None
) -> RaggedTensor: ...
def reshape(tensor: TensorCompatible, shape: ShapeLike | Tensor, name: str | None = None) -> Tensor: ...
def __getattr__(name: str) -> Incomplete: ...
2 changes: 2 additions & 0 deletions stubs/tensorflow/tensorflow/experimental/dtensor.pyi
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Expand Up @@ -2,6 +2,8 @@ from _typeshed import Incomplete

from tensorflow._aliases import IntArray, IntDataSequence

Layout = Incomplete

class Mesh:
def __init__(
self,
Expand Down
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