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Functions14,004 in github.com/cupy/cupy

↓ 7 callersMethodcheck_unary
(self, name, xp, dtype, no_complex=False)
tests/cupy_tests/math_tests/test_explog.py:13
↓ 7 callersMethodderivatives
Return all derivatives of the spline at the point x. Parameters ---------- x : float The point to evaluate the de
cupyx/scipy/interpolate/_fitpack_repro.py:1414
↓ 7 callersMethoddesign_matrix
Returns a design matrix as a CSR format sparse array. Parameters ---------- x : array_like, shape (n,) P
cupyx/scipy/interpolate/_bspline.py:619
↓ 7 callersFunctionfor_dtypes
Decorator for parameterized dtype test. Args: dtypes(list of dtypes): dtypes to be tested. name(str): Argument name to which sp
cupy/testing/_loops.py:839
↓ 7 callersMethodfrom_spline
Construct a piecewise polynomial from a spline Parameters ---------- tck A spline, as a (knots, coeffici
cupyx/scipy/interpolate/_interpolate.py:1337
↓ 7 callersFunctionget_float_word
cupy/_core/include/cupy/complex/math_private.h:68
↓ 7 callersMethodget_version
(self)
install/cupy_builder/_features.py:43
↓ 7 callersMethodimpulse
Return the impulse response of a continuous-time system. See `impulse` for details.
cupyx/scipy/signal/_ltisys.py:177
↓ 7 callersMethodinit_flags
(self, xp)
tests/cupy_tests/core_tests/test_flags.py:48
↓ 7 callersMethodinner
(*args, **kwargs)
cupyx/profiler/_time_range.py:88
↓ 7 callersMethodintegrate
Compute a definite integral of the spline. Parameters ---------- a : float Lower limit of integration.
cupyx/scipy/interpolate/_bspline.py:840
↓ 7 callersMethodload
Load a cached payload. Args: name (str): The cache key (filename) for the compiled kernel. Returns: bytes or
cupy/cuda/_compiler_cache.py:44
↓ 7 callersFunctionmake_ndbspl
Construct an interpolating NdBspline. Parameters ---------- points : tuple of ndarrays of float, with shapes (m1,), ... (mN,) The
cupyx/scipy/interpolate/_ndbspline.py:686
↓ 7 callersMethodmatmat
Matrix-matrix multiplication.
cupyx/scipy/sparse/linalg/_interface.py:132
↓ 7 callersMethodoffsets
(self, xp)
tests/cupyx_tests/scipy_tests/sparse_tests/test_dia.py:185
↓ 7 callersMethodstandard_normal
Returns samples drawn from the standard normal distribution. .. seealso:: - :func:`cupy.random.standard_normal` for full document
cupy/random/_generator.py:898
↓ 7 callersMethodstep
Return the step response of a continuous-time system. See `step` for details.
cupyx/scipy/signal/_ltisys.py:184
↓ 7 callersFunctionsum
Returns the sum of an array along given axes. Args: a (cupy.ndarray): Array to take sum. axis (int or sequence of ints): Axes alo
cupy/_math/sumprod.py:13
↓ 7 callersFunctionuse_temporary_cache_dir
()
tests/cupy_tests/core_tests/test_raw.py:355
↓ 6 callersFunction_1d_test_function
(x, xp)
tests/cupyx_tests/scipy_tests/interpolate_tests/test_rbfinterp.py:49
↓ 6 callersMethod_as_ss
Convert to `StateSpace` system, without copying. Returns ------- sys: StateSpace The `StateSpace` system. If the
cupyx/scipy/signal/_ltisys.py:68
↓ 6 callersMethod_assign_arrays
(matrix, arrays, shape)
cupyx/distributed/_nccl_comm.py:592
↓ 6 callersMethod_comparison
(self, other, op, op_name)
cupyx/scipy/sparse/_csr.py:74
↓ 6 callersMethod_decorate
(self, f, times, min_success)
tests/cupy_tests/testing_tests/test_condition.py:87
↓ 6 callersMethod_ensure_c_contiguous
(self)
cupyx/scipy/interpolate/_interpolate.py:2053
↓ 6 callersMethod_generate_A_for_fiedler
Check for fiedler vector computation
tests/cupyx_tests/scipy_tests/sparse_tests/test_linalg.py:1191
↓ 6 callersMethod_generate_linear_operator
(self, xp, sp)
tests/cupyx_tests/scipy_tests/sparse_tests/test_linalg.py:856
↓ 6 callersFunction_get_dtype
Return np.complex128 for complex dtypes, np.float64 otherwise.
cupyx/scipy/interpolate/_bspline.py:221
↓ 6 callersFunction_get_hermitian
(xp, a, UPLO)
tests/cupy_tests/linalg_tests/test_eigenvalue.py:13
↓ 6 callersFunction_get_proper_datatype
cupy_backends/cupy_nccl.h:37
↓ 6 callersFunction_get_scalar_ptr
(a, dtype)
cupy/cublas.py:420
↓ 6 callersMethod_get_stream
(self, stream_name)
tests/cupy_tests/cuda_tests/test_stream.py:26
↓ 6 callersMethod_major_index_fancy
Index along the major axis where idx is an array of ints.
cupyx/scipy/sparse/_compressed.py:743
↓ 6 callersMethod_make
(self, xp)
tests/cupyx_tests/scipy_tests/interpolate_tests/test_ndbspline.py:421
↓ 6 callersMethod_minor_index_fancy
Index along the minor axis where idx is an array of ints.
cupyx/scipy/sparse/_compressed.py:962
↓ 6 callersMethod_random_sample_raw
(self, size, dtype)
cupy/random/_generator.py:637
↓ 6 callersMethod_sample_4d_data
(self)
tests/cupyx_tests/scipy_tests/interpolate_tests/test_rgi.py:550
↓ 6 callersFunction_select
Return one or more of: min, max, min position, max position, median. If neither `labels` or `index` is provided, these are the global values
cupyx/scipy/ndimage/_measurements.py:645
↓ 6 callersFunction_setup_result_ptr
(handle, out, dtype)
cupy/cublas.py:389
↓ 6 callersFunction_should_fail
(self, f)
tests/cupy_tests/testing_tests/test_condition.py:61
↓ 6 callersFunction_should_pass
(self, f)
tests/cupy_tests/testing_tests/test_condition.py:71
↓ 6 callersFunction_skip_hipFFT_PlanNd_bug
(axes, shape)
tests/cupyx_tests/scipy_tests/fft_tests/test_fft.py:975
↓ 6 callersFunction_slice_at_axis
Constructs a tuple of slices to slice an array in the given dimension. Args: sl(slice): The slice for the given dimension. axis(int):
cupy/_padding/pad.py:21
↓ 6 callersMethod_to_op_mode
(self, op_mode: _modes.Mode)
cupyx/distributed/array/_array.py:290
↓ 6 callersFunction_transpose_flag
(trans)
cupyx/cusparse.py:167
↓ 6 callersFunction_validate_gpass_gstop
(gpass, gstop)
cupyx/scipy/signal/_iir_filter_conversions.py:1904
↓ 6 callersFunction_vandermonde
(x, degree)
tests/cupyx_tests/scipy_tests/interpolate_tests/test_rbfinterp.py:42
↓ 6 callersFunctionbandwidth
Return the lower and upper bandwidth of a 2D numeric array. Parameters ---------- a : ndarray Input array of size (M, N) Retur
cupyx/scipy/linalg/_array_utils.py:15
↓ 6 callersMethodbroadcast
Performs a broadcast operation. Args: in_out_array (cupy.ndarray): array to be sent for `root` rank. Other ranks
cupyx/distributed/_nccl_comm.py:172
↓ 6 callersMethodcheck
(self, xp, func, expected_name, is_elementwise)
tests/cupy_tests/core_tests/fusion_tests/test_misc.py:233
↓ 6 callersMethodcheck_array_doubly_broadcasted_op
(self, op, xp, x_type, y_type)
tests/cupy_tests/core_tests/test_ndarray_elementwise_op.py:700
↓ 6 callersMethodcheck_binary
(self, name, xp, dtype)
tests/cupy_tests/logic_tests/test_comparison.py:17
↓ 6 callersMethodcheck_int8_sum
(self, shape, xp, axis=None, keepdims=False, trans=False)
tests/cupy_tests/core_tests/test_ndarray_cuda_array_interface.py:158
↓ 6 callersMethodcheck_unary
(self, name, xp, dtype)
tests/cupy_tests/math_tests/test_trigonometric.py:12
↓ 6 callersMethodcheck_unary
(self, name, xp, dtype, no_bool=False)
tests/cupy_tests/math_tests/test_misc.py:14
↓ 6 callersMethodclose
(self)
cupy/_io/npz.py:29
↓ 6 callersMethodcount
(x, y)
tests/cupyx_tests/jit_tests/test_thrust.py:16
↓ 6 callersMethoddummy_class
(self, sp)
tests/cupyx_tests/scipy_tests/sparse_tests/test_base.py:21
↓ 6 callersFunctionfft
Compute the one-dimensional FFT. Args: x (cupy.ndarray): Array to be transformed. n (None or int): Length of the transformed axis
cupyx/scipy/fft/_fft.py:68
↓ 6 callersMethodfind
(x, y)
tests/cupyx_tests/jit_tests/test_thrust.py:248
↓ 6 callersMethodfree
(self, size, device_id)
tests/cupy_tests/cuda_tests/test_memory.py:962
↓ 6 callersMethodfreqresp
Calculate the frequency response of a continuous-time system. Returns a 2-tuple containing arrays of frequencies [rad/s] and
cupyx/scipy/signal/_ltisys.py:207
↓ 6 callersMethodfrom_bernstein_basis
Construct a piecewise polynomial in the power basis from a polynomial in Bernstein basis. Parameters ----------
cupyx/scipy/interpolate/_interpolate.py:1367
↓ 6 callersMethodgamma
Returns an array of samples drawn from a gamma distribution. .. seealso:: - :func:`cupy.random.gamma` for full documentation
cupy/random/_generator.py:217
↓ 6 callersMethodget_data
(self, dtype, xdim=1)
tests/cupy_tests/test_cublas.py:526
↓ 6 callersMethodgetnnz
Number of stored values, including explicit zeros. Args: axis (None, 0, or 1): Select between the number of values
cupyx/scipy/sparse/_base.py:922
↓ 6 callersFunctiongrey_dilation
Calculates a greyscale dilation. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full stru
cupyx/scipy/ndimage/_morphology.py:822
↓ 6 callersFunctiongrey_erosion
Calculates a greyscale erosion. Args: input (cupy.ndarray): The input array. size (tuple of ints): Shape of a flat and full struc
cupyx/scipy/ndimage/_morphology.py:778
↓ 6 callersMethodimag
(self)
cupyx/scipy/sparse/_data.py:148
↓ 6 callersFunctionlfilter
Filter data along one-dimension with an IIR or FIR filter. Filter a data sequence, `x`, using a digital filter. This works for many fun
cupyx/scipy/signal/_signaltools.py:640
↓ 6 callersFunctionmake_interp_spline
Compute the (coefficients of) interpolating B-spline. Parameters ---------- x : array_like, shape (n,) Abscissas. y : array_l
cupyx/scipy/interpolate/_bspline2.py:84
↓ 6 callersMethodmake_x1_x2
(self, xp, shapes, dtypes)
tests/cupy_tests/math_tests/test_matmul.py:240
↓ 6 callersFunctionmatvec
(x)
cupyx/scipy/sparse/linalg/_iterative.py:477
↓ 6 callersMethodmax
(self, axis=None, out=None, keepdims=False)
cupy/_core/_fusion_interface.py:172
↓ 6 callersMethodminimum
(self, other)
cupyx/scipy/sparse/_base.py:562
↓ 6 callersMethodpower
Returns an array of samples drawn from the power distribution. .. warning:: This function may synchronize the device. .
cupy/random/_generator.py:584
↓ 6 callersFunctionraise_inexact
cupy/_core/include/cupy/complex/catrig.h:62
↓ 6 callersMethodrecv
Performs a receive operation. Args: array (cupy.ndarray): array used to receive data. peer (int): rank of the process
cupyx/distributed/_nccl_comm.py:228
↓ 6 callersFunctionsavgol_filter
Apply a Savitzky-Golay filter to an array. This is a 1-D filter. If `x` has dimension greater than 1, `axis` determines the axis along whic
cupyx/scipy/signal/_savitzky_golay.py:253
↓ 6 callersMethodsend
Performs a send operation. Args: array (cupy.ndarray): array to be sent. peer (int): rank of the process `array` will
cupyx/distributed/_nccl_comm.py:217
↓ 6 callersFunctionset_float_word
cupy/_core/include/cupy/complex/math_private.h:80
↓ 6 callersFunctionsolve
Solves a linear matrix equation. It computes the exact solution of ``x`` in ``ax = b``, where ``a`` is a square and full rank matrix. Ar
cupy/linalg/_solve.py:13
↓ 6 callersMethodsolve
Find real solutions of the equation ``pp(x) == y``. Parameters ---------- y : float, optional Right-hand
cupyx/scipy/interpolate/_interpolate.py:1269
↓ 6 callersMethodto_str
(self, show_gpu=False)
cupyx/profiler/_time.py:71
↓ 5 callersMethod__init__
Initialize the `lti` baseclass. The heavy lifting is done by the subclasses.
cupyx/scipy/signal/_ltisys.py:169
↓ 5 callersMethod__init__
(self, child_type: TypeBase)
cupyx/jit/_cuda_types.py:252
↓ 5 callersFunction_astype_scalar
( x: _T, ctype: _cuda_types.Scalar, casting: _CastingType, env: Environment, )
cupyx/jit/_compile.py:989
↓ 5 callersFunction_check_int32_indices
Raise ValueError if CSR/CSC ``a`` has int64 indices. Used by legacy cuSPARSE entry points whose backends accept only int32 (csrgeam, csrgemm,
cupyx/cusparse.py:74
↓ 5 callersFunction_check_parameter
(func_name, order, mode)
cupyx/scipy/ndimage/_interpolation.py:20
↓ 5 callersFunction_compile_func
(kernel_name, code)
tests/cupy_tests/core_tests/test_function.py:13
↓ 5 callersMethod_construct_from_derivatives
r""" Compute the coefficients of a polynomial in the Bernstein basis given the values and derivatives at the edges. Return th
cupyx/scipy/interpolate/_interpolate.py:1864
↓ 5 callersFunction_convert_fft_type
(dtype, value_type)
cupy/fft/_fft.py:64
↓ 5 callersMethod_cumprod
(self, xp, a, *args, **kwargs)
tests/cupy_tests/math_tests/test_sumprod.py:799
↓ 5 callersMethod_decode_cubin
Decode and validate data in the on-disk format. Args: data (bytes): Raw bytes in the on-disk format (hash + cubin). Retu
cupy/cuda/_compiler_cache.py:111
↓ 5 callersFunction_empty_like
Return an empty sparse object that matches the type of ``model``. Preserves the array-vs-matrix distinction so operator semantics (``*`` is m
cupyx/distributed/_nccl_comm.py:477
↓ 5 callersMethod_empty_like
Return an empty matrix with the same index dtype.
cupyx/scipy/sparse/_compressed.py:604
↓ 5 callersMethod_exchange_shape_and_sizes
( cls, comm, peer, sizes_shape, method, stream)
cupyx/distributed/_nccl_comm.py:517
↓ 5 callersMethod_generate_file
(self, cache_dir, ext: str)
tests/cupy_tests/core_tests/test_raw.py:607
↓ 5 callersFunction_generate_interp_custom
Args: coord_func (function): generates code to do the coordinate transformation. See for example, `_get_coord_shift`.
cupyx/scipy/ndimage/_interp_kernels.py:230
↓ 5 callersFunction_generate_shape
(ndim, int_type, var_name="out", raw_var=True)
cupyx/scipy/ndimage/_pba_2d.py:154
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