id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
149,890 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def histogram(
a: jnp.ndarray,
... | null |
149,891 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def median(
input: JaxArray,
/... | null |
149,892 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def nanmean(
a: JaxArray,
/,
... | null |
149,893 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def nanmin(
x: JaxArray,
/,
... | null |
149,894 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
)
def _infer_dtype(dtype: jnp.dtype)... | null |
149,895 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def quantile(
a: JaxArray,
q: ... | null |
149,896 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def corrcoef(
x: JaxArray,
/,
... | null |
149,897 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def nanmedian(
input: JaxArray,
... | null |
149,898 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def bincount(
x: JaxArray,
/,
... | null |
149,899 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def cov(
x1: JaxArray,
x2: Jax... | null |
149,900 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def __find_cummax_indices(
x: JaxAr... | null |
149,901 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
)
def _infer_dtype(dtype: jnp.dtype)... | null |
149,902 | import jax.numpy as jnp
from typing import Optional, Union, Tuple, Sequence
from ivy.functional.backends.jax import JaxArray
import jax.lax as jlax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
from ..statistical import _infer_dtype
def igamma(
a: JaxArray,
/,
... | null |
149,903 | import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from ivy.func_wrapper import (
with_supported_device_and_dtypes,
)
from . import backend_version
def huber_loss(
input: JaxArray, target: JaxArray, /, *, delta: float = 1.0, reduction: str = "mean"
) -> JaxArray:
residual = jnp.abs(in... | null |
149,904 | import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from ivy.func_wrapper import (
with_supported_device_and_dtypes,
)
from . import backend_version
def smooth_l1_loss(
input: JaxArray,
target: JaxArray,
/,
*,
beta: float = 1.0,
reduction: str = "mean",
) -> JaxArray:
... | null |
149,905 | import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from ivy.func_wrapper import (
with_supported_device_and_dtypes,
)
from . import backend_version
def soft_margin_loss(
input: JaxArray,
target: JaxArray,
/,
*,
reduction: str = "mean",
) -> JaxArray:
loss = jnp.sum(jnp... | null |
149,906 | import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from ivy.func_wrapper import (
with_supported_device_and_dtypes,
)
from . import backend_version
def _apply_loss_reduction(loss: JaxArray, reduction: str) -> JaxArray:
if reduction == "sum":
return jnp.sum(loss)
elif reduction ... | null |
149,907 | import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from ivy.func_wrapper import (
with_supported_device_and_dtypes,
)
from . import backend_version
def _apply_loss_reduction(loss: JaxArray, reduction: str) -> JaxArray:
if reduction == "sum":
return jnp.sum(loss)
elif reduction ... | null |
149,908 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def logit(
x: JaxArray,
/,
*,
eps: Optional[float] = None,
... | null |
149,909 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def relu6(
x: JaxArray, /, *, complex_mode="jax", out: Optional[JaxArray]... | null |
149,910 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def thresholded_relu(
x: JaxArray,
/,
*,
threshold: Union[int... | null |
149,911 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def logsigmoid(
input: JaxArray, /, *, complex_mode="jax", out: Optional[... | null |
149,912 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def selu(x: JaxArray, /, *, out: Optional[JaxArray] = None) -> JaxArray:
... | null |
149,913 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def silu(x: JaxArray, /, *, out: Optional[JaxArray] = None) -> JaxArray:
... | null |
149,914 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def elu(
x: JaxArray, /, *, alpha: float = 1.0, out: Optional[JaxArray] =... | null |
149,915 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def celu(
x: JaxArray,
/,
*,
alpha: float = 1.0,
complex_... | null |
149,916 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def hardtanh(
x: JaxArray,
/,
*,
max_val: float = 1.0,
mi... | null |
149,917 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def tanhshrink(x: JaxArray, /, *, out: Optional[JaxArray] = None) -> JaxArray... | null |
149,918 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def threshold(
x: JaxArray,
/,
*,
threshold: Union[int, float... | null |
149,919 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def softshrink(
x: JaxArray, /, *, lambd: float = 0.5, out: Optional[JaxA... | null |
149,920 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def scaled_tanh(
x: JaxArray,
/,
*,
alpha: float = 1.7159,
... | null |
149,921 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def hardshrink(
x: JaxArray, /, *, lambd: float = 0.5, out: Optional[JaxA... | null |
149,922 | from typing import Optional, Union, Literal
import jax
import jax.numpy as jnp
from ivy.functional.backends.jax import JaxArray
from jax import lax
import ivy
from ivy.func_wrapper import with_unsupported_dtypes
from . import backend_version
def hardsilu(x: JaxArray, /, *, out: Optional[JaxArray] = None) -> JaxArray:
... | null |
149,923 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,924 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,925 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,926 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,927 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,928 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,929 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,930 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,931 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,932 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,933 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,934 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,935 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,936 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,937 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,938 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,939 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,940 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,941 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,942 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,943 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,944 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,945 | from typing import (
Iterable,
Optional,
Union,
Sequence,
Tuple,
NamedTuple,
Literal,
Callable,
Any,
List,
)
import jax.numpy as jnp
import jax.lax as jlax
from numbers import Number
from collections import namedtuple
from ivy.func_wrapper import handle_out_argument
import ivy
fr... | null |
149,946 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,947 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,948 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,949 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,950 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,951 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,952 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,953 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,954 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,955 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,956 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,957 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,958 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,959 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,960 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,961 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,962 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,963 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,964 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,965 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,966 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,967 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,968 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,969 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,970 | import operator
from typing import Optional, Union, Tuple, List, Sequence
from numbers import Number
from ivy import (
promote_types_of_inputs,
default_float_dtype,
is_float_dtype,
)
from ivy.func_wrapper import (
with_supported_dtypes,
)
from ivy.functional.backends.jax import JaxArray
import jax.numpy... | null |
149,971 | from typing import Optional, Union, Sequence
import jax.numpy as jnp
import jax
import jaxlib.xla_extension
import ivy
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG, _setRNG, _getRNG
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_chec... | null |
149,972 | from typing import Optional, Union, Sequence
import jax.numpy as jnp
import jax
import jaxlib.xla_extension
import ivy
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG, _setRNG, _getRNG
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_chec... | null |
149,973 | from typing import Optional, Union, Sequence
import jax.numpy as jnp
import jax
import jaxlib.xla_extension
import ivy
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG, _setRNG, _getRNG
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_chec... | null |
149,974 | from typing import Optional, Union, Sequence
import jax.numpy as jnp
import jax
import jaxlib.xla_extension
import ivy
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG, _setRNG, _getRNG
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_chec... | null |
149,975 | from typing import Optional, Union, Sequence
import jax.numpy as jnp
import jax
import jaxlib.xla_extension
import ivy
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG, _setRNG, _getRNG
from ivy.functional.ivy.random import (
_check_bounds_and_get_shape,
_chec... | null |
149,976 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,977 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,978 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,979 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,980 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,981 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,982 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,983 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,984 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,985 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,986 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,987 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,988 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
149,989 | from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
import jax
import jax.lax as jlax
import jax.numpy as jnp
import math
import ivy
from ivy import output_to_native_arrays
from ivy.functional.backends.jax import JaxArray
from ivy.functional.backends.jax.random import RNG
from ivy.functional.iv... | null |
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