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import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
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import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
null
148,791
import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
null
148,792
import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
null
148,793
import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
null
148,794
import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
null
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import functools from numbers import Number from operator import mul from typing import Optional, Union, Sequence, Callable, List, Tuple import paddle import numpy as np import multiprocessing as _multiprocessing import ivy import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import with_unsupp...
null
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from typing import Callable import paddle import ivy from ivy.func_wrapper import inputs_to_native_arrays from ivy.functional.ivy.gradients import ( _flatten_containers, _rebuild_flattened_containers, ) from ivy.utils.exceptions import IvyNotImplementedException def inputs_to_native_arrays(fn: Callable) -> Cal...
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from typing import Callable import paddle import ivy from ivy.func_wrapper import inputs_to_native_arrays from ivy.functional.ivy.gradients import ( _flatten_containers, _rebuild_flattened_containers, ) from ivy.utils.exceptions import IvyNotImplementedException def _flatten_containers(inputs): """Flatten ...
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from typing import Callable import paddle import ivy from ivy.func_wrapper import inputs_to_native_arrays from ivy.functional.ivy.gradients import ( _flatten_containers, _rebuild_flattened_containers, ) from ivy.utils.exceptions import IvyNotImplementedException class IvyNotImplementedException(IvyException, N...
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import paddle from typing import Optional, Union import ivy def invert_permutation( x: Union[paddle.Tensor, list, tuple], /, ) -> paddle.Tensor: x = paddle.to_tensor(x) if not ivy.is_array(x) else x sorted_indices = paddle.argsort(x) inverse = paddle.zeros_like(sorted_indices) inverse[sorted_in...
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import paddle from typing import Optional, Union import ivy def lexsort( keys: paddle.Tensor, /, *, axis: int = -1, out: Optional[paddle.Tensor] = None ) -> paddle.Tensor: shape = keys.shape if len(shape) == 1: return paddle.argsort(keys, axis=axis) if shape[0] == 0: raise TypeError("n...
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import paddle import paddle.nn.functional as F import ivy from ivy.utils.exceptions import IvyNotImplementedException from typing import Optional, Tuple from ivy.func_wrapper import with_supported_dtypes from ivy.func_wrapper import with_unsupported_device_and_dtypes from . import backend_version def batch_norm( x...
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import paddle import paddle.nn.functional as F import ivy from ivy.utils.exceptions import IvyNotImplementedException from typing import Optional, Tuple from ivy.func_wrapper import with_supported_dtypes from ivy.func_wrapper import with_unsupported_device_and_dtypes from . import backend_version def l1_normalize( ...
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import paddle import paddle.nn.functional as F import ivy from ivy.utils.exceptions import IvyNotImplementedException from typing import Optional, Tuple from ivy.func_wrapper import with_supported_dtypes from ivy.func_wrapper import with_unsupported_device_and_dtypes from . import backend_version class IvyNotImplement...
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import paddle import paddle.nn.functional as F import ivy from ivy.utils.exceptions import IvyNotImplementedException from typing import Optional, Tuple from ivy.func_wrapper import with_supported_dtypes from ivy.func_wrapper import with_unsupported_device_and_dtypes from . import backend_version class IvyNotImplement...
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import paddle import paddle.nn.functional as F import ivy from ivy.utils.exceptions import IvyNotImplementedException from typing import Optional, Tuple from ivy.func_wrapper import with_supported_dtypes from ivy.func_wrapper import with_unsupported_device_and_dtypes from . import backend_version class IvyNotImplement...
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import ivy from ivy.functional.ivy.experimental.sparse_array import ( _verify_coo_components, _verify_csr_components, _is_data_not_indices_values_and_shape, ) from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException import paddle fr...
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import ivy from ivy.functional.ivy.experimental.sparse_array import ( _verify_coo_components, _verify_csr_components, _is_data_not_indices_values_and_shape, ) from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException import paddle fr...
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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import paddle from typing import Optional, Tuple, Union, Any from ivy.functional.ivy.experimental.linear_algebra import _check_valid_dimension_size from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from ivy.utils.exceptions import IvyNotImplementedException f...
null
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def _kaiser_window(wind...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def vorbis_window( ...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def hann_window( s...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def tril_indices( ...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def unsorted_segment_m...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def blackman_window( ...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def trilu( x: padd...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def mel_weight_matrix(...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def unsorted_segment_su...
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from typing import Optional, Tuple, Union import math import paddle import ivy.functional.backends.paddle as paddle_backend from paddle.device import core from ivy.func_wrapper import ( with_supported_dtypes, with_unsupported_device_and_dtypes, ) import ivy from .. import backend_version def polyval( coeff...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def median( input: pa...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def nanmean( a: paddl...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def nanmin( a: paddle...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def _infer_dtype(dtype: pa...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def _compute_quantile_wrap...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def corrcoef( x: padd...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def histogram( a: pad...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def nanmedian( input:...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def unravel_index( in...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def bincount( x: padd...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def igamma( a: paddle...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def cov( x1: paddle.T...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def __find_cummax( x: ...
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from typing import Optional, Union, Tuple, Sequence, Any import paddle import ivy.functional.backends.paddle as paddle_backend import ivy from copy import deepcopy from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, ) from . import backend_version def cummin( x: paddle...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def l1_loss( input: paddle.Tensor, target: paddle.Tensor, /, *, reducti...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def smooth_l1_loss( input: paddle.Tensor, target: paddle.Tensor, /, *, ...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def huber_loss( input: paddle.Tensor, target: paddle.Tensor, /, *, delt...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def soft_margin_loss( input: paddle.Tensor, label: paddle.Tensor, /, *, ...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def kl_div( input: paddle.Tensor, target: paddle.Tensor, /, *, reductio...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def _apply_loss_reduction(loss: paddle.Tensor, reduction: str) -> paddle.Tensor: if redu...
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from typing import Optional import paddle import paddle.nn.functional as F import math from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def hinge_embedding_loss( input: paddle.Tensor, target: paddle.Tensor, *, m...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def t...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def t...
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from typing import Optional, Union, Literal import paddle import paddle.nn.functional as F import ivy.functional.backends.paddle as paddle_backend from ivy.func_wrapper import ( with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_dtypes, ) from . import backend_version def ...
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
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from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,879
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,880
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,881
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,882
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,883
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,884
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,885
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,886
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,887
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null
148,888
from collections import namedtuple from typing import ( Iterable, Optional, Union, Sequence, Tuple, NamedTuple, List, Any, Literal, Callable, ) from numbers import Number from .. import backend_version from ivy.func_wrapper import ( with_supported_device_and_dtypes, with_...
null