id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
149,490 | import tensorflow as tf
from typing import Callable
import ivy
from ivy.func_wrapper import inputs_to_native_arrays
from ivy.functional.ivy.gradients import _get_required_float_variables
from ivy.functional.ivy.gradients import (
_flatten_containers,
_rebuild_flattened_containers,
)
def _flatten_containers(inp... | null |
149,491 | import tensorflow as tf
from typing import Union, Optional
def invert_permutation(
x: Union[tf.Tensor, tf.Variable, list, tuple],
/,
) -> Union[tf.Tensor, tf.Variable]:
return tf.cast(tf.math.invert_permutation(x), tf.int64) | null |
149,492 | import tensorflow as tf
from typing import Union, Optional
def lexsort(
keys: Union[tf.Tensor, tf.Variable],
/,
*,
axis: int = -1,
out: Optional[Union[tf.Tensor, tf.Variable]] = None,
) -> Union[tf.Tensor, tf.Variable]:
shape = keys.shape.as_list()
if len(shape) == 1:
return tf.cast... | null |
149,493 | import tensorflow as tf
from typing import Literal, Union, Optional, Tuple
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
from . import backend_version
import math
def l1_normalize(
x: Union[tf.Tensor, tf.Variable],
/,
*,
axis: Optional[int] = None,
out: Optional[tf.Ten... | null |
149,494 | import tensorflow as tf
from typing import Literal, Union, Optional, Tuple
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
from . import backend_version
import math
def l2_normalize(
x: Union[tf.Tensor, tf.Variable],
/,
*,
axis: Optional[int] = None,
out: Optional[tf.Ten... | null |
149,495 | import tensorflow as tf
from typing import Literal, Union, Optional, Tuple
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
from . import backend_version
import math
def local_response_norm(
x: Union[tf.Tensor, tf.Variable],
size,
/,
*,
bias: Optional[float] = 1.0,
al... | null |
149,496 | import tensorflow as tf
from typing import Literal, Union, Optional, Tuple
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
from . import backend_version
import math
def batch_norm(
x: Union[tf.Tensor, tf.Variable],
mean: Union[tf.Tensor, tf.Variable],
variance: Union[tf.Tensor, t... | null |
149,497 | import tensorflow as tf
from typing import Literal, Union, Optional, Tuple
from ivy.func_wrapper import with_supported_dtypes, with_unsupported_dtypes
from . import backend_version
import math
def lp_normalize(
x: Union[tf.Tensor, tf.Variable],
/,
*,
p: float = 2,
axis: Optional[int] = None,
ou... | null |
149,498 | import tensorflow as tf
import logging
import ivy
from ivy.functional.ivy.experimental.sparse_array import (
_is_data_not_indices_values_and_shape,
_verify_bsc_components,
_verify_bsr_components,
_verify_coo_components,
_verify_csc_components,
_verify_csr_components,
)
def is_native_sparse_array... | null |
149,499 | import tensorflow as tf
import logging
import ivy
from ivy.functional.ivy.experimental.sparse_array import (
_is_data_not_indices_values_and_shape,
_verify_bsc_components,
_verify_bsr_components,
_verify_coo_components,
_verify_csc_components,
_verify_csr_components,
)
def native_sparse_array_t... | null |
149,500 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_supported_dtypes
from . import backend_version
def unravel_index(
indices: Union[tf.Tensor, tf.Variable],
shape: Tuple[int],
/,
*,
out: Optional[Tuple[Union[tf.Tensor, tf.Variable]]] = None,
) -> Tup... | null |
149,501 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,502 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,503 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,504 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,505 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,506 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,507 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,508 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,509 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,510 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,511 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,512 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,513 | from typing import Union, Optional, Tuple, List, Sequence
import tensorflow as tf
from functools import reduce as _reduce
from collections import namedtuple
import ivy
from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size
from ivy.func_wrapper import with_unsupported_dtypes, with_suppor... | null |
149,514 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def kaiser_window(
window_length: int,
periodic: bool = True,
beta: float = 12.0,
*,
dtype: Optional[tf.DType] = ... | null |
149,515 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def kaiser_bessel_derived_window(
window_length: int,
beta: float = 12.0,
*,
dtype: Optional[tf.DType] = None,
ou... | null |
149,516 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def vorbis_window(
window_length: Union[tf.Tensor, tf.Variable],
*,
dtype: tf.DType = tf.dtypes.float32,
out: Optiona... | null |
149,517 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def hann_window(
size: int,
/,
*,
periodic: bool = True,
dtype: Optional[tf.DType] = None,
out: Optional[Unio... | null |
149,518 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def tril_indices(
n_rows: int,
n_cols: Optional[int] = None,
k: int = 0,
/,
*,
device: Optional[str] = None,
... | null |
149,519 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def unsorted_segment_min(
data: tf.Tensor,
segment_ids: tf.Tensor,
num_segments: Union[int, tf.Tensor],
) -> tf.Tensor:
... | null |
149,520 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def blackman_window(
size: int,
/,
*,
periodic: bool = True,
dtype: Optional[tf.DType] = None,
out: Optional[... | null |
149,521 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def unsorted_segment_sum(
data: tf.Tensor,
segment_ids: tf.Tensor,
num_segments: Union[int, tf.Tensor],
) -> tf.Tensor:
... | null |
149,522 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def trilu(
x: Union[tf.Tensor, tf.Variable],
/,
*,
k: int = 0,
upper: bool = True,
out: Optional[Union[tf.Ten... | null |
149,523 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def mel_weight_matrix(
num_mel_bins: int,
dft_length: int,
sample_rate: int,
lower_edge_hertz: float = 125.0,
upp... | null |
149,524 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def unsorted_segment_mean(
data: tf.Tensor,
segment_ids: tf.Tensor,
num_segments: Union[int, tf.Tensor],
) -> tf.Tensor:
... | null |
149,525 | from typing import Union, Optional, Tuple
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_unsupported_dtypes
from .. import backend_version
def polyval(coeffs: tf.Tensor, x: tf.Tensor):
result = tf.experimental.numpy.polyval(
coeffs,
x,
)
return... | null |
149,526 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def h... | null |
149,527 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def m... | null |
149,528 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def n... | null |
149,529 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def n... | null |
149,530 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def _i... | null |
149,531 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def _... | null |
149,532 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def to... | null |
149,533 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def _... | null |
149,534 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def q... | null |
149,535 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def c... | null |
149,536 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def n... | null |
149,537 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def b... | null |
149,538 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def i... | null |
149,539 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def c... | null |
149,540 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def __... | null |
149,541 | from typing import Union, Optional, Tuple, Sequence
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import (
with_unsupported_dtypes,
with_supported_dtypes,
with_supported_device_and_dtypes,
)
from .. import backend_version
from copy import deepcopy
def c... | null |
149,542 | import tensorflow as tf
import math
from typing import Optional
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def huber_loss(
input: tf.Tensor,
target: tf.Tensor,
/,
*,
delta: Optional[float] = 1.0,
reduction: O... | null |
149,543 | import tensorflow as tf
import math
from typing import Optional
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def smooth_l1_loss(
input: tf.Tensor,
target: tf.Tensor,
/,
*,
beta: Optional[float] = 1.0,
reduction... | null |
149,544 | import tensorflow as tf
import math
from typing import Optional
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def soft_margin_loss(
input: tf.Tensor,
target: tf.Tensor,
/,
*,
reduction: Optional[str] = "mean",
) -> ... | null |
149,545 | import tensorflow as tf
import math
from typing import Optional
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def _apply_loss_reduction(loss: tf.Tensor, reduction: str) -> tf.Tensor:
if reduction == "sum":
return tf.math.red... | null |
149,546 | import tensorflow as tf
import math
from typing import Optional
from ivy.func_wrapper import (
with_unsupported_dtypes,
with_supported_device_and_dtypes,
)
from . import backend_version
def _apply_loss_reduction(loss: tf.Tensor, reduction: str) -> tf.Tensor:
if reduction == "sum":
return tf.math.red... | null |
149,547 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def logit(
x: Union[tf.Tensor, tf.Variable],
/,
*,
eps: Optional[float... | null |
149,548 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def thresholded_relu(
x: Tensor,
/,
*,
threshold: Union[int, float] = ... | null |
149,549 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def logsigmoid(
input: Tensor, /, *, complex_mode="jax", out: Optional[Tensor] = N... | null |
149,550 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def selu(x: Tensor, /, *, out: Optional[Tensor] = None) -> Tensor:
ret = tf.nn.sel... | null |
149,551 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def silu(
x: Tensor,
/,
*,
out: Optional[Tensor] = None,
) -> Tensor:
... | null |
149,552 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def elu(x: Tensor, /, *, alpha: float = 1.0, out: Optional[Tensor] = None) -> Tensor:
... | null |
149,553 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def hardtanh(
x: Tensor,
/,
*,
max_val: float = 1.0,
min_val: floa... | null |
149,554 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def tanhshrink(
x: Tensor,
/,
*,
out: Optional[Tensor] = None,
) -> Te... | null |
149,555 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def threshold(
x: Tensor,
/,
*,
threshold: Union[int, float],
valu... | null |
149,556 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def softshrink(
x: Tensor,
/,
*,
lambd: float = 0.5,
out: Optional... | null |
149,557 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def celu(
x: Tensor,
/,
*,
alpha: float = 1.0,
complex_mode="jax",... | null |
149,558 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def scaled_tanh(
x: Tensor,
/,
*,
alpha: float = 1.7159,
beta: flo... | null |
149,559 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def hardshrink(
x: Tensor,
/,
*,
lambd: float = 0.5,
out: Optional... | null |
149,560 | from typing import Optional, Union, Literal
import tensorflow as tf
from tensorflow.python.types.core import Tensor
import ivy
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from . import backend_version
def relu6(x: Tensor, /, *, complex_mode="jax", out: Optional[Tensor] = None) -> Tensor:... | null |
149,561 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,562 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,563 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,564 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,565 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,566 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,567 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,568 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,569 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,570 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,571 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,572 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,573 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,574 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,575 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,576 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,577 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,578 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,579 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,580 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,581 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,582 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,583 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,584 | from collections import namedtuple
from typing import (
Iterable,
Union,
Optional,
Sequence,
Tuple,
NamedTuple,
List,
Literal,
Callable,
Any,
)
from numbers import Number
import tensorflow as tf
from ivy.func_wrapper import with_unsupported_dtypes, handle_out_argument
from .. imp... | null |
149,585 | import operator
from typing import Union, Optional, Tuple, List, Sequence
from numbers import Number
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import promote_types_of_inputs
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from .. impo... | null |
149,586 | import operator
from typing import Union, Optional, Tuple, List, Sequence
from numbers import Number
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import promote_types_of_inputs
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from .. impo... | null |
149,587 | import operator
from typing import Union, Optional, Tuple, List, Sequence
from numbers import Number
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import promote_types_of_inputs
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from .. impo... | null |
149,588 | import operator
from typing import Union, Optional, Tuple, List, Sequence
from numbers import Number
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import promote_types_of_inputs
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from .. impo... | null |
149,589 | import operator
from typing import Union, Optional, Tuple, List, Sequence
from numbers import Number
import tensorflow as tf
from tensorflow.python.ops.numpy_ops import np_math_ops
import ivy
from ivy import promote_types_of_inputs
from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
from .. impo... | null |
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