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Types & classes1,924 in github.com/cupy/cupy

↓ 25 callersClassRegularGridInterpolator
Interpolator on a regular or rectilinear grid in arbitrary dimensions. The data must be defined on a rectilinear grid; that is, a rectangula
cupyx/scipy/interpolate/_rgi.py:47
↓ 17 callersClass_GUFunc
Creates a Generalized Universal Function by wrapping a user provided function with the signature. ``signature`` determines if the functi
cupy/_core/_gufuncs.py:233
↓ 16 callersClassData
cupyx/jit/_internal_types.py:20
↓ 13 callersClassDummyObjectWithCudaArrayInterface
cupy/testing/_protocol_helpers.py:10
↓ 11 callersClassNCCLBackend
Interface that uses NVIDIA's NCCL to perform communications. Args: n_devices (int): Total number of devices that will be used in the
cupyx/distributed/_nccl_comm.py:60
↓ 11 callersClasscomplex
ROCm (hipcc) does not support `__align__`
cupy/_core/include/cupy/complex/complex.h:71
↓ 10 callersClassDiskKernelCacheBackend
Disk-based kernel cache storage backend. This backend stores compiled kernel binaries in a directory on disk.
cupy/cuda/_compiler_cache.py:78
↓ 9 callersClassBSpline
r"""Univariate spline in the B-spline basis. .. math:: S(x) = \sum_{j=0}^{n-1} c_j B_{j, k; t}(x) where :math:`B_{j, k; t}` are B-s
cupyx/scipy/interpolate/_bspline.py:446
↓ 8 callersClassConstant
cupyx/jit/_internal_types.py:62
↓ 7 callersClassStateSpace
r""" Linear Time Invariant system in state-space form. Represents the system as the continuous-time, first order differential equation :m
cupyx/scipy/signal/_ltisys.py:969
↓ 5 callersClassContext
install/cupy_builder/_context.py:31
↓ 5 callersClassScalar
cupyx/jit/_cuda_types.py:49
↓ 4 callersClassCompileException
cupy/cuda/compiler.py:793
↓ 4 callersClassDLDummy
Dummy object to wrap a __dlpack__ capsule, so we can use from_dlpack.
tests/cupy_tests/core_tests/test_dlpack.py:32
↓ 4 callersClassDummyObjectWithCudaArrayInterface
tests/cupy_tests/core_tests/test_ndarray_cuda_array_interface.py:13
↓ 4 callersClassMatMulConfig
tests/cupyx_tests/distributed_tests/test_linalg.py:63
↓ 4 callersClass_Chunk
cupyx/distributed/array/_chunk.py:51
↓ 4 callersClass_NVRTCProgram
cupy/cuda/compiler.py:832
↓ 4 callersClassdlti
r""" Discrete-time linear time invariant system base class. Parameters ---------- *system: arguments The `dlti` class can be
cupyx/scipy/signal/_ltisys.py:230
↓ 4 callersClasslti
r""" Continuous-time linear time invariant system base class. Parameters ---------- *system : arguments The `lti` class can b
cupyx/scipy/signal/_ltisys.py:111
↓ 3 callersClassArrayConfig
tests/cupyx_tests/distributed_tests/test_linalg.py:17
↓ 3 callersClassBunch
cupyx/scipy/interpolate/_fitpack_repro.py:682
↓ 3 callersClassCodeBlock
Code fragment for the readable format.
cupy/_core/_codeblock.py:8
↓ 3 callersClassDistributedArray
__init__(self, shape, dtype, chunks_map, mode=REPLICA, comms=None) Multi-dimensional array distributed across multiple CUDA devices. Th
cupyx/distributed/array/_array.py:65
↓ 3 callersClassMockArray
tests/cupy_tests/test_numpy_interop.py:56
↓ 3 callersClassMockArray2
tests/cupy_tests/test_numpy_interop.py:98
↓ 3 callersClassMockMemory
tests/cupy_tests/cuda_tests/test_memory.py:20
↓ 3 callersClassMockStream
tests/cupy_tests/cuda_tests/test_stream.py:342
↓ 3 callersClassMockUnitTest
tests/cupy_tests/testing_tests/test_condition.py:15
↓ 3 callersClassPPoly
Piecewise polynomial in terms of coefficients and breakpoints The polynomial between ``x[i]`` and ``x[i + 1]`` is written in the local po
cupyx/scipy/interpolate/_interpolate.py:1036
↓ 3 callersClassPtrDiff
cupyx/jit/_cuda_types.py:69
↓ 3 callersClassTransferFunction
r"""Linear Time Invariant system class in transfer function form. Represents the system as the continuous-time transfer function :math:`H(s)=
cupyx/scipy/signal/_ltisys.py:354
↓ 3 callersClassZerosPolesGain
r""" Linear Time Invariant system class in zeros, poles, gain form. Represents the system as the continuous- or discrete-time transfer functi
cupyx/scipy/signal/_ltisys.py:681
↓ 3 callersClass_ScaledLinearOperator
cupyx/scipy/sparse/linalg/_interface.py:421
↓ 3 callersClassinterp1d
Interpolate a 1-D function. `x` and `y` are arrays of values used to approximate some function f: ``y = f(x)``. This class returns a fun
cupyx/scipy/interpolate/_polyint.py:555
↓ 2 callersClassCArrayIterator
cupyx/jit/_cuda_types.py:200
↓ 2 callersClassCUDA_cuda
install/cupy_builder/_features.py:433
↓ 2 callersClassDelaunay
Delaunay tessellation in 2 dimensions. Parameters ---------- points : ndarray of floats, shape (npoints, ndim) Coordinates o
cupyx/scipy/spatial/_delaunay.py:8
↓ 2 callersClassExceptionAwareProcess
cupyx/distributed/_store.py:26
↓ 2 callersClassHIPCCException
cupy/cuda/compiler.py:61
↓ 2 callersClassKDTree
KDTree(data, leafsize=16, compact_nodes=True, copy_data=False, balanced_tree=True, boxsize=None) kd-tree for quick nearest-neigh
cupyx/scipy/spatial/_kdtree.py:27
↓ 2 callersClassMatDescriptor
cupyx/cusparse.py:34
↓ 2 callersClassMemoryFrame
A single stack frame along with sum of memory usage at the frame. Attributes: stackframe (FrameSummary): stackframe from traceback.extrac
cupy/cuda/memory_hooks/line_profile.py:139
↓ 2 callersClassMypyError
tests/typing_tests/test_typing.py:25
↓ 2 callersClassPchipInterpolator
r"""PCHIP 1-D monotonic cubic interpolation. ``x`` and ``y`` are arrays of values used to approximate some function f, with ``y = f(x)``. The
cupyx/scipy/interpolate/_cubic.py:150
↓ 2 callersClassPos
tests/typing_tests/test_typing.py:19
↓ 2 callersClassSuperLU
cupyx/scipy/sparse/linalg/_solve.py:539
↓ 2 callersClassTuple
cupyx/jit/_cuda_types.py:259
↓ 2 callersClass_ArrayPlaceholder
cupyx/distributed/array/_chunk.py:24
↓ 2 callersClass_AsyncData
cupyx/distributed/array/_data_transfer.py:29
↓ 2 callersClass_TempStorageType
cupyx/jit/cub.py:45
↓ 2 callersClass_UnavailableModule
cupy/cuda/__init__.py:31
↓ 2 callersClasscsr_matrix
Compressed Sparse Row matrix. This can be instantiated in several ways. ``csr_matrix(D)`` ``D`` is a rank-2 :class:`cupy.ndarray`.
cupyx/scipy/sparse/_csr.py:729
↓ 1 callersClassActionError
cupyx/distributed/_store_actions.py:15
↓ 1 callersClassAtomicOp
cupyx/jit/_builtin_funcs.py:226
↓ 1 callersClassBadStream
tests/cupy_tests/cuda_tests/test_stream.py:396
↓ 1 callersClassBarrier
cupyx/distributed/_store_actions.py:148
↓ 1 callersClassBarycentricInterpolator
The interpolating polynomial for a set of points. Constructs a polynomial that passes through a given set of points. Allows evaluation of the
cupyx/scipy/interpolate/_polyint.py:207
↓ 1 callersClassBunch
cupyx/scipy/signal/_ltisys.py:1875
↓ 1 callersClassC
tests/cupy_tests/core_tests/test_ndarray.py:677
↓ 1 callersClassCArray
cupyx/jit/_cuda_types.py:119
↓ 1 callersClassCClass
cupy/_indexing/generate.py:83
↓ 1 callersClassCZT
Create a callable chirp z-transform function. Transform to compute the frequency response around a spiral. Objects of this class are cal
cupyx/scipy/signal/_czt.py:100
↓ 1 callersClassCreateMock
tests/cupy_tests/core_tests/fusion_tests/test_optimization.py:12
↓ 1 callersClassCreateMock
tests/cupy_tests/core_tests/fusion_tests/test_kernel_cache.py:12
↓ 1 callersClassCubicHermiteSpline
Piecewise-cubic interpolator matching values and first derivatives. The result is represented as a `PPoly` instance. [1]_ Parameters ---
cupyx/scipy/interpolate/_cubic.py:72
↓ 1 callersClassCusparseLU
cupyx/scipy/sparse/linalg/_solve.py:629
↓ 1 callersClassDeviceCompilerUnix
install/cupy_builder/_compiler.py:167
↓ 1 callersClassDeviceCompilerWin32
install/cupy_builder/_compiler.py:213
↓ 1 callersClassDeviceSynchronized
Raised when device synchronization is detected while disallowed. .. warning:: This API has been deprecated in CuPy v10 and will be remove
cupy/_core/syncdetect.py:11
↓ 1 callersClassDim3
An integer vector type based on uint3 that is used to specify dimensions. Attributes: x (uint32) y (uint32) z (uint3
cupyx/jit/_cuda_types.py:284
↓ 1 callersClassDnMatDescriptor
cupyx/cusparse.py:1711
↓ 1 callersClassDnVecDescriptor
cupyx/cusparse.py:1700
↓ 1 callersClassDummyObjectWithCuPyGetNDArray
cupy/testing/_protocol_helpers.py:74
↓ 1 callersClassEnvironment
Environment of the scope Attributes: mode ('numpy' or 'cuda'): The rule for typecast. consts (dict): The dictionary with keys as
cupyx/jit/_compile.py:259
↓ 1 callersClassF
The r.h.s. of ``f(p) = s``. Given scalar `p`, we solve the system of equations in the LSQ sense: | A | @ | c | = | y | | B
cupyx/scipy/interpolate/_fitpack_repro.py:552
↓ 1 callersClassFeature
install/cupy_builder/_features.py:11
↓ 1 callersClassFuncWrapper
cupyx/jit/thrust.py:10
↓ 1 callersClassGCPStorageCacheBackend
GCP Cloud Storage backed cache backend. This cache backend stores compiled kernel binaries in Google Cloud Storage for sharing across di
tests/cupy_tests/_gcp_kernel_cache_backend.py:53
↓ 1 callersClassGDel2D
cupyx/scipy/spatial/delaunay_2d/_tri.py:34
↓ 1 callersClassGenerated
cupyx/jit/_compile.py:155
↓ 1 callersClassGet
cupyx/distributed/_store_actions.py:96
↓ 1 callersClassGridFunc
cupyx/jit/_builtin_funcs.py:289
↓ 1 callersClassHasMatmat
tests/cupyx_tests/scipy_tests/sparse_tests/test_linalg.py:837
↓ 1 callersClassHasMatvec
tests/cupyx_tests/scipy_tests/sparse_tests/test_linalg.py:832
↓ 1 callersClassJitifyException
cupy/cuda/compiler.py:65
↓ 1 callersClassKroghInterpolator
Interpolating polynomial for a set of points. The polynomial passes through all the pairs (xi,yi). One may additionally specify a number of d
cupyx/scipy/interpolate/_polyint.py:401
↓ 1 callersClassLaneID
cupyx/jit/_builtin_funcs.py:415
↓ 1 callersClassLenFunc
cupyx/jit/_builtin_funcs.py:112
↓ 1 callersClassLinearOperator
LinearOperator(shape, matvec, rmatvec=None, matmat=None, dtype=None, \ rmatmat=None) Common interface for performing matrix vector products
cupyx/scipy/sparse/linalg/_interface.py:11
↓ 1 callersClassMatrixLinearOperator
cupyx/scipy/sparse/linalg/_interface.py:483
↓ 1 callersClassMaxFunc
cupyx/jit/_builtin_funcs.py:140
↓ 1 callersClassMetricInfo
cupyx/scipy/spatial/distance.py:39
↓ 1 callersClassMinFunc
cupyx/jit/_builtin_funcs.py:128
↓ 1 callersClassMockMemory
tests/cupy_tests/cuda_tests/test_pinned_memory.py:10
↓ 1 callersClassMockUnavailableModule
tests/cupyx_tests/distributed_tests/test_array_no_nccl.py:9
↓ 1 callersClassNVCCException
cupy/cuda/compiler.py:57
↓ 1 callersClassNdBSpline
Tensor product spline object. The value at point ``xp = (x1, x2, ..., xN)`` is evaluated as a linear combination of products of one-dimension
cupyx/scipy/interpolate/_ndbspline.py:445
↓ 1 callersClassNpzFile
cupy/_io/npz.py:13
↓ 1 callersClassOptimizeResult
Represents the optimization result.
cupyx/scipy/signal/_optimize.py:21
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