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SGSKGJ@Gr@ SGSKGJAGrA OGSGrBGSGr=GSGr>GSGr?GSGr@GSGrAGSGrCGSGrDG\D"G\E"55 GSGrFG\F"GS5GrGg!\a7r\"S\ R""5S\"\5R&S \S35\eSrCff=f() annotationsN) _environment)_versioncutensor)_corezB ================================================================ z Original error: z: )cudac,[R"5$)aOReturn True if GPU execution is available. This function can be used to guard code for cases where CuPy is installed but not usable, typically because the system has no GPU. It checks whether the driver can be queried for devices and that there is at least one device available. Returns: bool: True if GPU execution is possible. )r is_availableG/home/wildlama/miniconda3/lib/python3.13/site-packages/cupy/__init__.pyr r !s    r )fft)linalg) polynomial)random)ndarray)ufunc)e) euler_gamma)inf)nan)newaxis)pigg)complexfloating)floating)generic)inexact)integer)number) signedinteger)unsignedinteger)bool_)byte)short)intc)int_)longlong)intp)int8)int16)int32)int64)ubyte)ushort)uintc)uint) ulonglong)uintp)uint8)uint16)uint32)uint64)half)single)double)float64)float16)float32)csingle) complex64)cdouble) complex128)astype)empty) empty_like)eyefull) full_like)identity)ones) ones_like)zeros) zeros_like)copy)array) asanyarray)asarray)ascontiguousarray)fromfile) fromfunction)fromiter) frombuffer) fromstring)loadtxt) genfromtxt)arange)linspace)logspace)meshgrid)mgrid)ogrid)diag)diagflat)tri)tril)triu)vander) piecewise) vectorize)apply_along_axis)apply_over_axes)put_along_axis)copyto)shape)ravel)reshape)moveaxis)rollaxis)swapaxes) transpose)matrix_transpose) atleast_1d) atleast_2d) atleast_3d) broadcast)broadcast_arrays) broadcast_to) expand_dims)squeeze) column_stack) concatenate)dstack)hstack) row_stack)stack)vstack)asarray_chkfinite)asfarray)asfortranarray)require) array_split)dsplit)hsplit)split)vsplit)repeat)tile)delete)append)resize)unique) unique_all) unique_counts) unique_values)unique_inverse) trim_zeros)flip)fliplr)flipud)roll)rot90broadcast_shapes)r) bitwise_and) bitwise_or) bitwise_xor) bitwise_not) bitwise_count)invert) left_shift) right_shift)packbits) unpackbitsc.[R"X5$)zjReturn the binary representation of the input number as a string. .. seealso:: :func:`numpy.binary_repr` )_numpy binary_repr)numwidths r rrMs   c ))r cr[U[5(a UROUn[R"XUS9$)zReturns True if cast between data types can occur according to the casting rule. If from is a scalar or array scalar, also returns True if the scalar value can be cast without overflow or truncation to an integer. .. seealso:: :func:`numpy.can_cast` )casting) isinstancerdtypercan_cast)from_tors r rrXs,&eW55EKK5E ??5g 66r c[U5S:Xa[R$[R"S5n/nUHpnURRS:Xa [ S5eURRS;aUR U5 MUUR UR5 Mr [R"[RU5R$)zbReturn a scalar type which is common to the input arrays. .. seealso:: :func:`numpy.common_type` rr:bz+can't get common type for non-numeric arrayiu) lenrr;rkind TypeErrorr _functoolsreduce promote_typestype)arraysdefault_float_dtypedtypesas r common_typercs  6{a~~ ,,y1 F  77<<3 JK K WW\\T ! MM- . MM!'' "    V116 : ? ??r cUVs/sH&n[U[5(a UROUPM( nn[R"U6$s snf)zReturns the type that results from applying the NumPy type promotion rules to the arguments. .. seealso:: :func:`numpy.result_type` )rrrr result_type)arrays_and_dtypesrrs r rrxsR01/$Aw//agg/ 1   v &&1s-A)min_scalar_type)r)r)finfo)iinfo) issubdtype)isdtype) mintypecode)typename)c_)indices)ix_) mask_indices) tril_indices)tril_indices_from) triu_indices)triu_indices_from)r_)ravel_multi_index) unravel_index)choose)compress)diagonal)extract)select)take)take_along_axis)place)put)putmask) fill_diagonal) diag_indices)diag_indices_from)flatiter) index_exp)ndindex)s_)load)save)savez)savez_compressed) array_repr) array_str) array2string)format_float_positional)format_float_scientific)savetxtc0[R"XU5$)zkReturn a string representation of a number in the given base system. .. seealso:: :func:`numpy.base_repr` )r base_repr)rbasepaddings r rrs   F' 22r )get_printoptions)set_printoptions) printoptions)einsum)cross)dot)inner)kron)matmul)outer) tensordot)vdot)trace)allclose) array_equal) array_equiv)isclose)isfinite)isinf)isnan)isneginf)isposinf)in1d)isin) iscomplex) iscomplexobj) isfortran)isreal) isrealobj) intersect1d) setdiff1d)setxor1d)union1dc.[R"U5$)zWReturns True if the type of num is a scalar type. .. seealso:: :func:`numpy.isscalar` )risscalar)elements r rrs ??7 ##r ) logical_and) logical_not) logical_or) logical_xor)equal)greater) greater_equal)less) less_equal) not_equal)all)any)poly1d)poly)polyadd)polysub)polymul)polyfit)polyval)roots)arccos)arcsin)arctan)arctan2)cos)deg2rad)degrees)hypot)rad2deg)radians)sin)tan)unwrap)arccosh)arcsinh)arctanh)cosh)sinh)tanh)around)ceil)fix)floor)rint)round)round_)trunc)prod)product)sum)cumprod) cumproduct)cumsum)ediff1d) nancumprod) nancumsum)nansum)nanprod)diff)gradient) trapezoid)bartlett)blackman)hamming)hanning)kaiser)exp)exp2)expm1)log)log10)log1p)log2) logaddexp) logaddexp2)i0)sinc)copysign)frexp)ldexp) nextafter)signbit)gcd)lcm)add)divide)divmod) floor_divide) float_power)fmod)modf)multiply)negative)positive)power) reciprocal) remainder)subtract) true_divide)angle) conjugate)imag)real)absolute)cbrt)clip)fabs)fmax)fmin)interp)maximum)minimum) nan_to_num) real_if_close)sign) heaviside)sqrt)square)convolve) byte_bounds)may_share_memory) shares_memory)who)iterable)pad) count_nonzero)argmax)argmin)argwhere) flatnonzero) nanargmax) nanargmin)nonzero) searchsorted)where) argpartition)argsort)lexsort)msort) sort_complex) partition)sort)corrcoef)cov) correlate)amax)amin)nanmax)nanmin) percentile)ptp)quantile)median)average)mean)std)var) nanmedian)nanmean)nanstd)nanvar)bincount)digitize) histogram) histogram2d) histogramdd) exceptions) AxisError)ComplexWarning)ModuleDeprecationWarning) RankWarning) TooHardError)VisibleDeprecationWarning)sizechUR$![a [R"U5s$f=f)zReturns the number of dimensions of an array. Args: a (array-like): If it is not already an `cupy.ndarray`, a conversion via :func:`numpy.asarray` is attempted. Returns: (int): The number of dimensions in `a`. )ndimAttributeErrorr)rs r rrs-vv {{1~s  11) clear_memo)memoize)ElementwiseKernel) RawKernel) RawModule)ReductionKernel)make_aligned_dtype) fromDlpack) from_dlpackT)blockingc[U[5(aURXX4S9$[US5(a[ U5RXX4S9$[ R "XS9nUbXSS'U$UnU$)aZReturns an array on the host memory from an arbitrary source array. Args: a: Arbitrary object that can be converted to :class:`numpy.ndarray`. stream (cupy.cuda.Stream): CUDA stream object. If given, the stream is used to perform the copy. Otherwise, the current stream is used. Note that if ``a`` is not a :class:`cupy.ndarray` object, then this argument has no effect. order ({'C', 'F', 'A'}): The desired memory layout of the host array. When ``order`` is 'A', it uses 'F' if the array is fortran-contiguous and 'C' otherwise. The ``order`` will be ignored if ``out`` is specified. out (numpy.ndarray): The output array to be written to. It must have compatible shape and dtype with those of ``a``'s. blocking (bool): If set to ``False``, the copy runs asynchronously on the given (if given) or current stream, and users are responsible for ensuring the stream order. Default is ``True``, so the copy is synchronous (with respect to the host). Returns: numpy.ndarray: Converted array on the host memory. )streamorderoutr__cuda_array_interface__)r.)rrgethasattrrNrrP)rrrrrtemps r asnumpyr8s0!WuuFSuLL . / /Qx||CD D~~a- ?H C r cSSKnUHrn[U[URRR [ RR[ RR45(dMl[s $ [$)aSReturns the array module for arguments. This function is used to implement CPU/GPU generic code. If at least one of the arguments is a :class:`cupy.ndarray` object, the :mod:`cupy` module is returned. Args: args: Values to determine whether NumPy or CuPy should be used. Returns: module: :mod:`cupy` or :mod:`numpy` is returned based on the types of the arguments. .. admonition:: Example A NumPy/CuPy generic function can be written as follows >>> def softplus(x): ... xp = cupy.get_array_module(x) ... return xp.maximum(0, x) + xp.log1p(xp.exp(-abs(x))) rN) cupyxrrscipysparsespmatrixrfusion_FusionVarArray new_fusion _ArrayProxy_cupyr)argsrargs r get_array_modulerasc. cGU[[%7%7%@%@!LL88!,,88: ; ;L  Mr Fc[$)zReturns CuPy default memory pool for GPU memory. Returns: cupy.cuda.MemoryPool: The memory pool object. .. note:: If you want to disable memory pool, please use the following code. >>> cupy.cuda.set_allocator(None) )_default_memory_poolr r r get_default_memory_poolrs  r c[$)zReturns CuPy default memory pool for pinned memory. Returns: cupy.cuda.PinnedMemoryPool: The memory pool object. .. note:: If you want to disable memory pool, please use the following code. >>> cupy.cuda.set_pinned_memory_allocator(None) )_default_pinned_memory_poolr r r get_default_pinned_memory_poolrs  '&r )_fullcSSKn[RR[ UR US955 [RR 5 g)zKKr )int0uint0bool8c:[X5$![a gf=f)NF) issubclassrarg1arg2s r issubclass_rs$$%% s cB[U[5(a![U[R5(aU$[U[R 5(aUR R$[R "U5nUR$![a Us$f=f)a Return the scalar dtype or NumPy equivalent of Python type of an object. Parameters ---------- rep : any The object of which the type is returned. default : any, optional If given, this is returned for objects whose types can not be determined. If not given, None is returned for those objects. Returns ------- dtype : dtype or Python type The data type of `rep`. )rrrrrrr Exception)repdefaultress r obj2sctypersy&#tC!@!@ #v~~&&yy~~ll3xx s-B BBc>[[U5[U55$)z Determine if the first argument is a subclass of the second argument. Parameters ---------- arg1, arg2 : dtype or dtype specifier Data-types. Returns ------- out : bool The result. )rrrs r issubsctyper s j& 4(8 99r ct[U5nUc [S5e[R"U5R$)a Return the string representation of a scalar dtype. Parameters ---------- sctype : scalar dtype or object If a scalar dtype, the corresponding string character is returned. If an object, `sctype2char` tries to infer its scalar type and then return the corresponding string character. Returns ------- typechar : str The string character corresponding to the scalar type. Raises ------ ValueError If `sctype` is an object for which the type can not be inferred. zunrecognized type)r ValueErrorrrchar)sctypes r sctype2charrs4, F ~,-- <<  $ $$r c[U[[R45(dg[ U5nU(aU[R :wagg![ a gf=f)a Determines whether the given object represents a scalar data-type. Parameters ---------- rep : any If `rep` is an instance of a scalar dtype, True is returned. If not, False is returned. Returns ------- out : bool Boolean result of check whether `rep` is a scalar dtype. FT)rrrrrobject_r)rrs r issctypersQ cD&,,/ 0 0o 3&..( s&A AA2)bool)long)ulong) format_parser) DataSource)find_common_type)set_string_function)get_array_wrap)disp) safe_evalzJThis function has been removed in NumPy v2. 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