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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def log(x): return iv...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def log1p(x): return ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def lt(x, y): return ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def max(x: Any, y: Any): ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def min(x, y): return...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def mul(x, y): return...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def ne(x, y): return ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def neg(x): return iv...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def nextafter(x1, x2): ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def pad(operand, padding_...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def real(x): return i...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def frontend_outputs_to_i...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def abs(x): return ivy...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def reshape(operand, new_...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def rev(operand, dimensio...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def abs(x): return ivy...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def reciprocal(x): ret...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def select(pred, on_true,...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def shift_left(x, y): ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def shift_right_logical(x...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def sin(x): return iv...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def sinh(x): return i...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def slice(operand, start_i...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def sort(operand, dimensi...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def square(x): return...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def squeeze(array, dimens...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def sub(x, y): return...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def tan(x): return iv...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def tie_in(x, y): ret...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def top_k(operand, k): ...
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from typing import Any import itertools import string import builtins import ivy from ivy.func_wrapper import with_supported_dtypes from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_unsupported_dtypes, frontend_outputs_to_ivy_arrays def transpose(operand, pe...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _len(x): shape = ivy.shape(x) return 0 if len(shape) == 0 else shape[0]
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def celu(x, alpha=1.0): return ivy.celu(x, alpha=alpha)
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _batch_promotion(*args, default_dtype="float64"): # Promote all types promote_types = set() for arg in args: if args is None: continue if...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def gelu(x, approximate=True): return ivy.gelu(x, approximate=approximate, complex_mode="jax")
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def sigmoid(x): def glu(x, axis=-1): size = x.shape[axis] ivy.utils.assertions.check_equal( size % 2, 0, message="axis size must be divisible by 2", as_array=False ...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _batch_promotion(*args, default_dtype="float64"): # Promote all types promote_types = set() for arg in args: if args is None: continue if...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _batch_promotion(*args, default_dtype="float64"): # Promote all types promote_types = set() for arg in args: if args is None: continue if...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def hard_swish(x): res = (x * ivy.minimum(ivy.maximum(x + 3, 0.0), 6.0)) / 6 return ivy.asarray(res, dtype=x.dtype)
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def hard_tanh(x): n1 = -1 if "uint" in str(x.dtype): dtype = x.dtype # tensorflow can't use -1 for uint n1 = ivy.asarray((1 << ivy.dtype_bits(dtype)...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion_64(x): # Does type conversion, floats maps to float, # complex maps to complex, everything else to float64 x = ivy.asarray(x) dtype = ivy.as_ivy...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion(x): # Does type conversion, floats maps to float, # complex maps to complex, # 64bit dtype to float64, everything else to float32 x = ivy.asarra...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def log_softmax(x, axis=-1): return ivy.log_softmax(x, axis=axis)
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _batch_promotion(*args, default_dtype="float64"): # Promote all types promote_types = set() for arg in args: if args is None: continue if...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _batch_promotion(*args, default_dtype="float64"): # Promote all types promote_types = set() for arg in args: if args is None: continue if...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def one_hot(x, num_classes, *, dtype=None, axis=-1): dtype = ivy.float64 if dtype is None else ivy.as_ivy_dtype(dtype) return ivy.one_hot(x, num_classes, axis=axis, dtype=d...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def relu(x): return ivy.relu(x, complex_mode="jax")
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion_64(x): # Does type conversion, floats maps to float, # complex maps to complex, everything else to float64 x = ivy.asarray(x) dtype = ivy.as_ivy...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion_64(x): def selu(x): x = _type_conversion_64(x) return ivy.selu(x)
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion(x): # Does type conversion, floats maps to float, # complex maps to complex, # 64bit dtype to float64, everything else to float32 x = ivy.asarra...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion(x): # Does type conversion, floats maps to float, # complex maps to complex, # 64bit dtype to float64, everything else to float32 x = ivy.asarra...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def softmax(x, axis=-1, where=None, initial=None): return ivy.softmax(x, axis=axis)
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def _type_conversion(x): # Does type conversion, floats maps to float, # complex maps to complex, # 64bit dtype to float64, everything else to float32 x = ivy.asarra...
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import ivy from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back from ivy.func_wrapper import with_supported_dtypes def swish(x): ret = x / (1 + ivy.exp(-x)) return ivy.asarray(ret, dtype=x.dtype)
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import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,444
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,445
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,446
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,447
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,448
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims def indices(dimensions, dtype=int, sparse=False): import ivy from ivy.utils.exceptions ...
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import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,451
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims def tril_indices(n, k=0, m=None): return ivy.tril_indices(n, m, k) import ivy from ...
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147,452
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims def triu_indices(n, k=0, m=None): return ivy.triu_indices(n, m, k) import ivy from ...
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147,453
import inspect import abc import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, ) from .creation import linspace, arange, array from .manipulations import transpose, concatenate, expand_dims import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.front...
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147,454
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def split(ary, indices_or_sections, axis=0): if isinstance(indices_or_sections, (list, tuple, ivy.Array)): indices...
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147,455
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,456
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,457
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,458
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,459
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,460
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,461
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,462
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,463
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,464
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,465
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def reshape(a, newshape, order="C"): return ivy.reshape(a, shape=newshape, order=order) import ivy from ivy.utils.excepti...
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import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,467
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def expand_dims(a, axis): return ivy.expand_dims(a, axis=axis) import ivy from ivy.utils.exceptions import handle_excepti...
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import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def append(arr, values, axis=None): if axis is None: return ivy.concat((ivy.flatten(arr), ivy.flatten(values)), ax...
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import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,470
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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147,471
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,472
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,473
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,474
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,475
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def append(arr, values, axis=None): import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.fronten...
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147,476
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,477
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,478
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,479
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def reshape(a, newshape, order="C"): return ivy.reshape(a, shape=newshape, order=order) import ivy from ivy.utils.excepti...
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147,480
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,481
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def reshape(a, newshape, order="C"): return ivy.reshape(a, shape=newshape, order=order) import ivy from ivy.utils.excepti...
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147,482
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,483
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,484
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs def reshape(a, newshape, order="C"): return ivy.reshape(a, shape=newshape, order=order) import ivy from ivy.utils.excepti...
null
147,485
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,486
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,487
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
null
147,488
import ivy from ivy.functional.frontends.jax.func_wrapper import ( to_ivy_arrays_and_back, handle_jax_dtype, ) from ivy.functional.frontends.jax.numpy import promote_types_of_jax_inputs import ivy from ivy.utils.exceptions import handle_exceptions from ivy.functional.frontends import set_frontend_to_specific_v...
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