id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
149,189 | from typing import Optional, Tuple, Sequence, Union
import numpy as np
import ivy
def polyval(coeffs: np.ndarray, x: np.ndarray) -> np.ndarray:
with ivy.PreciseMode(True):
promoted_type = ivy.promote_types(ivy.dtype(coeffs[0]), ivy.dtype(x[0]))
result = np.polyval(coeffs, x)
result = np.asarray(res... | null |
149,190 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def histogram(
a: np.ndarray,
/,
*,
bins: Optional[Union[int... | null |
149,191 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def median(
input: np.ndarray,
/,
*,
axis: Optional[Union[Tu... | null |
149,192 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def nanmean(
a: np.ndarray,
/,
*,
axis: Optional[Union[int, ... | null |
149,193 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def nanmin(
a: np.ndarray,
/,
*,
axis: Optional[Union[int, T... | null |
149,194 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def _infer_dtype(dtype: np.dtype):
default_dtype = ivy.infer_default_dty... | null |
149,195 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def corrcoef(
x: np.ndarray,
/,
*,
y: Optional[np.ndarray] =... | null |
149,196 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def nanmedian(
input: np.ndarray,
/,
*,
axis: Optional[Union... | null |
149,197 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def bincount(
x: np.ndarray,
/,
*,
weights: Optional[np.ndar... | null |
149,198 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def cov(
x1: np.ndarray,
x2: np.ndarray = None,
/,
*,
ro... | null |
149,199 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def __find_cummax_indices(
x: np.ndarray,
axis: int = 0,
) -> np.ndar... | null |
149,200 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def _infer_dtype(dtype: np.dtype):
def cummin(
x: np.ndarray,
/,
... | null |
149,201 | from typing import Optional, Union, Tuple, Sequence
import numpy as np
import math
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
from copy import deepcopy
def igamma(
a: np.ndarray,
/,
*,
x: np.ndarray,
out: Opt... | null |
149,202 | import numpy as np
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def huber_loss(
input: np.ndarray,
target: np.ndarray,
/,
*,
delta: float... | null |
149,203 | import numpy as np
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def smooth_l1_loss(
input: np.ndarray,
target: np.ndarray,
/,
*,
beta: fl... | null |
149,204 | import numpy as np
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def soft_margin_loss(
input: np.ndarray,
target: np.ndarray,
/,
*,
reduct... | null |
149,205 | import numpy as np
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def _apply_loss_reduction(loss: np.ndarray, reduction: str) -> np.ndarray:
if reduction ==... | null |
149,206 | import numpy as np
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def _apply_loss_reduction(loss: np.ndarray, reduction: str) -> np.ndarray:
if reduction ==... | null |
149,207 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def logit(
x: np.ndarray,
/,
*,
eps: Optional[float] = None,... | null |
149,208 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def thresholded_relu(
x: np.ndarray,
/,
*,
threshold: Union[... | null |
149,209 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def logsigmoid(
input: np.ndarray, /, *, complex_mode="jax", out: Option... | null |
149,210 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def selu(x: np.ndarray, /, *, out: Optional[np.ndarray] = None) -> np.ndarra... | null |
149,211 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def silu(x: np.ndarray, /, *, out: Optional[np.ndarray] = None) -> np.ndarra... | null |
149,212 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def elu(
x: np.ndarray, /, *, alpha: float = 1.0, out: Optional[np.ndarr... | null |
149,213 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def celu(
x: np.ndarray,
/,
*,
alpha: float = 1.0,
compl... | null |
149,214 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def hardtanh(
x: np.ndarray,
/,
*,
max_val: float = 1.0,
... | null |
149,215 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def tanhshrink(x: np.ndarray, /, *, out: Optional[np.ndarray] = None) -> np.... | null |
149,216 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def threshold(
x: np.ndarray,
/,
*,
threshold: float,
va... | null |
149,217 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def softshrink(
x: np.ndarray, /, *, lambd: float = 0.5, out: Optional[n... | null |
149,218 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def scaled_tanh(
x: np.ndarray,
/,
*,
alpha: float = 1.7159,... | null |
149,219 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def hardshrink(
x: np.ndarray, /, *, lambd: float = 0.5, out: Optional[n... | null |
149,220 | from typing import Optional, Union, Literal
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import (
with_unsupported_dtypes,
)
from . import backend_version
def relu6(
x: np.ndarray, /, *, complex_mode="jax", out: Optional[np.ndar... | null |
149,221 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,222 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,223 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,224 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,225 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,226 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,227 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,228 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,229 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,230 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,231 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,232 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,233 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,234 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,235 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,236 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,237 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,238 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,239 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,240 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,241 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,242 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,243 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,244 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,245 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
from numbers import Number
from collections import namedtuple
import numpy as np
import ivy
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
fr... | null |
149,246 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,247 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,248 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,249 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,250 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,251 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,252 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,253 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,254 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,255 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,256 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,257 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,258 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,259 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,260 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,261 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,262 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,263 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,264 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,265 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,266 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def ... | null |
149,267 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
kLanc... | null |
149,268 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
lancz... | null |
149,269 | from typing import Optional, Union, Tuple, List, Sequence
import numpy as np
import numpy.typing as npt
import ivy
from ivy import promote_types_of_inputs
from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def e... | null |
149,270 | from typing import Optional, Union, Sequence
import numpy as np
import ivy
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_check_shapes_broadcastable,
)
def dirichlet(
alpha: Union[np.ndarray, float, Sequence[float]],
/,
*,
size: Optional[Union[ivy.NativeShape, Sequence[in... | null |
149,271 | from typing import Optional, Union, Sequence
import numpy as np
import ivy
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_check_shapes_broadcastable,
)
def _check_bounds_and_get_shape(low, high, shape):
if shape is not None:
ivy.utils.assertions.check_all_or_any_fn(
... | null |
149,272 | from typing import Optional, Union, Sequence
import numpy as np
import ivy
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_check_shapes_broadcastable,
)
def _check_bounds_and_get_shape(low, high, shape):
if shape is not None:
ivy.utils.assertions.check_all_or_any_fn(
... | null |
149,273 | from typing import Optional, Union, Sequence
import numpy as np
import ivy
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_check_shapes_broadcastable,
)
def _check_shapes_broadcastable(out, inp):
if out is not None:
ivy.utils.assertions.check_shapes_broadcastable(out, inp)
de... | null |
149,274 | from typing import Optional, Union, Sequence
import numpy as np
import ivy
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_check_shapes_broadcastable,
)
def _check_shapes_broadcastable(out, inp):
if out is not None:
ivy.utils.assertions.check_shapes_broadcastable(out, inp)
de... | null |
149,275 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,276 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,277 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,278 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,279 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,280 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,281 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,282 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,283 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,284 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,285 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,286 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,287 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
149,288 | import math
import numpy as np
from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import ivy
from ivy.functional.ivy.layers import (
_handle_padding,
_get_num_padded_values,
_validate_max_pool_params,
_depth_max_pooling_helper,
)
from ivy.functional.backends.numpy.layers import... | null |
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