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| op | description | status | note |
|---|
| numpy.add | Adds two arrays elementwise. | 1 | |
| numpy.subtract | Subtracts arguments elementwise. | 1 | |
| numpy.multiply | Multiplies two arrays elementwise. | 1 | |
| numpy.divide | Elementwise true division (i.e. | 1 | |
| numpy.logaddexp | Computes log(exp(x1)` `+` `exp(x2)) elementwise. | 1 | PR15495 |
| numpy.logaddexp2 | Computes log2(exp2(x1)` `+` `exp2(x2)) elementwise. | 1 | PR15494 |
| numpy.true_divide | Elementwise true division (i.e. | 1 | Need a frontend interface called np.true_divide |
| numpy.floor_divide | Elementwise floor division (i.e. | 1 | |
| numpy.negative | Takes numerical negative elementwise. | 1 | |
| numpy.power | Computes x1` `**` `x2 elementwise. | 1 | |
| numpy.remainder | Computes the remainder of Python division elementwise. | 1 | PR16080 |
| numpy.mod | Computes the remainder of Python division elementwise. | 1 | |
| numpy.fmod | Computes the remainder of C division elementwise. | | |
| numpy.absolute | Elementwise absolute value function. | 1 | abs |
| numpy.rint | Rounds each element of an array to the nearest integer. | 1 | |
| numpy.sign | Elementwise sign function. | 1 | |
| numpy.exp | Elementwise exponential function. | 1 | |
| numpy.exp2 | Elementwise exponentiation with base 2. | 1 | PR15973 |
| numpy.log | Elementwise natural logarithm function. | 1 | |
| numpy.log2 | Elementwise binary logarithm function. | 1 | |
| numpy.log10 | Elementwise common logarithm function. | 1 | |
| numpy.expm1 | Computes exp(x)` `-` `1 elementwise. | 1 | |
| numpy.log1p | Computes log(1` `+` `x) elementwise. | 1 | |
| numpy.sqrt | Elementwise square root function. | 1 | |
| numpy.square | Elementwise square function. | 1 | |
| numpy.reciprocal | Computes 1` `/` `x elementwise. | 1 | |
| op | description | status | note |
|---|
| numpy.sin | Elementwise sine function. | 1 | |
| numpy.cos | Elementwise cosine function. | 1 | |
| numpy.tan | Elementwise tangent function. | 1 | |
| numpy.arcsin | Elementwise inverse-sine function (a.k.a. | 1 | |
| numpy.arccos | Elementwise inverse-cosine function (a.k.a. | 1 | |
| numpy.arctan | Elementwise inverse-tangent function (a.k.a. | 1 | |
| numpy.arctan2 | Elementwise inverse-tangent of the ratio of two arrays. | 1 | PR15519 |
| numpy.hypot | Computes the hypoteneous of orthogonal vectors of given length. | | PR15901 |
| numpy.sinh | Elementwise hyperbolic sine function. | 1 | |
| numpy.cosh | Elementwise hyperbolic cosine function. | 1 | |
| numpy.tanh | Elementwise hyperbolic tangent function. | 1 | |
| numpy.arcsinh | Elementwise inverse of hyperbolic sine function. | 1 | |
| numpy.arccosh | Elementwise inverse of hyperbolic cosine function. | 1 | |
| numpy.arctanh | Elementwise inverse of hyperbolic tangent function. | 1 | |
| numpy.deg2rad | Converts angles from degrees to radians elementwise. | | WIP(tvm): tinying@ |
| numpy.rad2deg | Converts angles from radians to degrees elementwise. | | WIP(tvm): tinying@ |
| op | description | status | note |
|---|
| numpy.bitwise_and | Computes the bitwise AND of two arrays elementwise. | | |
| numpy.bitwise_or | Computes the bitwise OR of two arrays elementwise. | | PR15293 |
| numpy.bitwise_xor | Computes the bitwise XOR of two arrays elementwise. | | PR15312 |
| numpy.invert | Computes the bitwise NOT of an array elementwise. | | |
| numpy.left_shift | Shifts the bits of each integer element to the left. | | |
| numpy.right_shift | Shifts the bits of each integer element to the right. | | |
| op | description | status | note |
|---|
| numpy.greater | Tests elementwise if x1` `>` `x2. | 1 | https://github.com/apache/incubator-mxnet/pull/15940 |
| numpy.greater_equal | Tests elementwise if x1` `>=` `x2. | 1 | |
| numpy.less | Tests elementwise if x1` `<` `x2. | 1 | |
| numpy.less_equal | Tests elementwise if x1` `<=` `x2. | 1 | |
| numpy.not_equal | Tests elementwise if x1` `!=` `x2. | 1 | |
| numpy.equal | Tests elementwise if x1` `==` `x2. | 1 | |
| numpy.logical_and | Computes the logical AND of two arrays. | | |
| numpy.logical_or | Computes the logical OR of two arrays. | | |
| numpy.logical_xor | Computes the logical XOR of two arrays. | | |
| numpy.logical_not | Computes the logical NOT of an array. | 1 | |
| numpy.maximum | Takes the maximum of two arrays elementwise. | 1 | |
| numpy.minimum | Takes the minimum of two arrays elementwise. | 1 | |
| numpy.fmax | Takes the maximum of two arrays elementwise. | 1 | WIP(tvm) guangtai@ #15800 |
| numpy.fmin | Takes the minimum of two arrays elementwise. | 1 | |
| op | description | status | note |
|---|
| numpy.isfinite | Tests finiteness elementwise. | | |
| numpy.isinf | Tests if each element is the positive or negative infinity. | | |
| numpy.isnan | Tests if each element is a NaN. | | |
| numpy.signbit | Tests elementwise if the sign bit is set (i.e. | | |
| numpy.copysign | Returns the first argument with the sign bit of the second elementwise. | 1 | |
| numpy.nextafter | Computes the nearest neighbor float values towards the second argument. | | |
| numpy.modf | Extracts the fractional and integral parts of an array elementwise. | | |
| numpy.ldexp | Computes x1` `*` `2` `**` `x2 elementwise. | | TODO: guangtai@ |
| numpy.frexp | Decomposes each element to mantissa and two’s exponent. | | TODO: guangtai@ |
| numpy.fmod | Computes the remainder of C division elementwise. | | |
| numpy.floor | Rounds each element of an array to its floor integer. | 1 | |
| numpy.ceil | Rounds each element of an array to its ceiling integer. | 1 | |
| numpy.trunc | Rounds each element of an array towards zero. | 1 | |
Currently, CuPy does not support at for ufuncs in general. However, [``cupyx.scatter_add()
| op | description | status | note |
|---|
| numpy.empty | Returns an array without initializing the elements. | 1 | |
| numpy.empty_like | Returns a new array with same shape and dtype of a given array. | | |
| numpy.eye | Returns a 2-D array with ones on the diagonals and zeros elsewhere. | 1 | |
| numpy.identity | Returns a 2-D identity array. | 1 | PR15698 |
| numpy.ones | Returns a new array of given shape and dtype, filled with ones. | 1 | |
| numpy.ones_like | Returns an array of ones with same shape and dtype as a given array. | 1 | |
| numpy.zeros | Returns a new array of given shape and dtype, filled with zeros. | 1 | |
| numpy.zeros_like | Returns an array of zeros with same shape and dtype as a given array. | 1 | |
| numpy.full | Returns a new array of given shape and dtype, filled with a given value. | 1 | PR15763 |
| numpy.full_like | Returns a full array with same shape and dtype as a given array. | | |
| op | description | status | note |
|---|
| numpy.array | Creates an array on the current device. | 1 | |
| numpy.asarray | Converts an object to array. | | |
| numpy.asanyarray | Converts an object to array. | | |
| numpy.ascontiguousarray | Returns a C-contiguous array. | | |
| numpy.copy | Creates a copy of a given array on the current device. | 1 | |
| op | description | status | note |
|---|
| numpy.arange | Returns an array with evenly spaced values within a given interval. | 1 | |
| numpy.linspace | Returns an array with evenly-spaced values within a given interval. | 1 | |
| numpy.logspace | Returns an array with evenly-spaced values on a log-scale. | 1 | PR15825 |
| numpy.meshgrid | Return coordinate matrices from coordinate vectors. | 1 | |
| numpy.mgrid | Construct a multi-dimensional “meshgrid”. | 1 | PR15562 |
| numpy.ogrid | Construct a multi-dimensional “meshgrid”. | 1 | PR15562 |
| op | description | status | note |
|---|
| numpy.diag | Returns a diagonal or a diagonal array. | | |
| numpy.diagflat | Creates a diagonal array from the flattened input. | | |
| numpy.tri | Creates an array with ones at and below the given diagonal. | | |
| numpy.tril | Returns a lower triangle of an array. | 1 | PR15696 |
| numpy.triu | Returns an upper triangle of an array. | | |
| op | description | status | note |
|---|
| numpy.copyto | Copies values from one array to another with broadcasting. | 1 | only convenient mode |
| op | description | status | note |
|---|
| numpy.reshape | Returns an array with new shape and same elements. | 1 | |
| numpy.ravel | Returns a flattened array. | | |
| op | description | status | note |
|---|
| numpy.moveaxis | Moves axes of an array to new positions. | 1 | PR15826 |
| numpy.rollaxis | Moves the specified axis backwards to the given place. | | |
| numpy.swapaxes | Swaps the two axes. | 1 | |
| numpy.transpose | Permutes the dimensions of an array. | 1 | |
| op | description | status | note |
|---|
| numpy.atleast_1d | Converts arrays to arrays with dimensions >= 1. | | |
| numpy.atleast_2d | Converts arrays to arrays with dimensions >= 2. | | |
| numpy.atleast_3d | Converts arrays to arrays with dimensions >= 3. | | |
| numpy.broadcast | Object that performs broadcasting. | | |
| numpy.broadcast_to | Broadcast an array to a given shape. | 1 | |
| numpy.broadcast_arrays | Broadcasts given arrays. | 1 | |
| numpy.expand_dims | Expands given arrays. | 1 | |
| numpy.squeeze | Removes size-one axes from the shape of an array. | 1 | |
| op | description | status | note |
|---|
| numpy.asarray | Converts an object to array. | | |
| numpy.asanyarray | Converts an object to array. | | |
| numpy.asfortranarray | Return an array laid out in Fortran order in memory. | | |
| numpy.ascontiguousarray | Returns a C-contiguous array. | | |
| op | description | status | note |
|---|
| numpy.concatenate | Joins arrays along an axis. | 1 | |
| numpy.stack | Stacks arrays along a new axis. | 1 | |
| numpy.column_stack | Stacks 1-D and 2-D arrays as columns into a 2-D array. | | |
| numpy.dstack | Stacks arrays along the third axis. | 1 | PR15314 |
| numpy.hstack | Stacks arrays horizontally. | 1 | PR15302 |
| numpy.vstack | Stacks arrays vertically. | 1 | PR15325 |
| op | description | status | note |
|---|
| numpy.split | Splits an array into multiple sub arrays along a given axis. | 1 | |
| numpy.array_split | Splits an array into multiple sub arrays along a given axis. | | |
| numpy.dsplit | Splits an array into multiple sub arrays along the third axis. | 1 | PR15371 |
| numpy.hsplit | Splits an array into multiple sub arrays horizontally. | 1 | PR15358 |
| numpy.vsplit | Splits an array into multiple sub arrays along the first axis. | 1 | PR15346 |
| op | description | status | note |
|---|
| numpy.tile | Construct an array by repeating A the number of times given by reps. | 1 | |
| numpy.repeat | Repeat arrays along an axis. | 1 | |
| op | description | status | note |
|---|
| numpy.unique | Find the unique elements of an array. | 1 | PR15733 |
| op | description | status | note |
|---|
| numpy.flip | Reverse the order of elements in an array along the given axis. | 1 | PR15586 |
| numpy.fliplr | Flip array in the left/right direction. | | |
| numpy.flipud | Flip array in the up/down direction. | | |
| numpy.reshape | Returns an array with new shape and same elements. | 1 | |
| numpy.roll | Roll array elements along a given axis. | 1 | PR15902 |
| numpy.rot90 | Rotate an array by 90 degrees in the plane specified by axes. | 1 | PR15987 |
| op | description | status | note |
|---|
| numpy.bitwise_and | Computes the bitwise AND of two arrays elementwise. | | |
| numpy.bitwise_or | Computes the bitwise OR of two arrays elementwise. | | |
| numpy.bitwise_xor | Computes the bitwise XOR of two arrays elementwise. | | |
| numpy.invert | Computes the bitwise NOT of an array elementwise. | | |
| numpy.left_shift | Shifts the bits of each integer element to the left. | | |
| numpy.right_shift | Shifts the bits of each integer element to the right. | | |
| op | description | status | note |
|---|
| numpy.packbits | Packs the elements of a binary-valued array into bits in a uint8 array. | | |
| numpy.unpackbits | Unpacks elements of a uint8 array into a binary-valued output array. | | |
| op | description | status | note |
|---|
| numpy.binary_repr | Return the binary representation of the input number as a string. | | |
| op | description | status | note |
|---|
| numpy.fft.fft | Compute the one-dimensional FFT. | | |
| numpy.fft.ifft | Compute the one-dimensional inverse FFT. | | |
| numpy.fft.fft2 | Compute the two-dimensional FFT. | | |
| numpy.fft.ifft2 | Compute the two-dimensional inverse FFT. | | |
| numpy.fft.fftn | Compute the N-dimensional FFT. | | |
| numpy.fft.ifftn | Compute the N-dimensional inverse FFT. | | |
| op | description | status | note |
|---|
| numpy.fft.rfft | Compute the one-dimensional FFT for real input. | | |
| numpy.fft.irfft | Compute the one-dimensional inverse FFT for real input. | | |
| numpy.fft.rfft2 | Compute the two-dimensional FFT for real input. | | |
| numpy.fft.irfft2 | Compute the two-dimensional inverse FFT for real input. | | |
| numpy.fft.rfftn | Compute the N-dimensional FFT for real input. | | |
| numpy.fft.irfftn | Compute the N-dimensional inverse FFT for real input. | | |
| op | description | status | note |
|---|
| numpy.fft.hfft | Compute the FFT of a signal that has Hermitian symmetry. | | |
| numpy.fft.ihfft | Compute the FFT of a signal that has Hermitian symmetry. | | |
| op | description | status | note |
|---|
| numpy.fft.fftfreq | Return the FFT sample frequencies. | | |
| numpy.fft.rfftfreq | Return the FFT sample frequencies for real input. | | |
| numpy.fft.fftshift | Shift the zero-frequency component to the center of the spectrum. | | |
| numpy.fft.ifftshift | The inverse of [``fftshift() | | |
| op | description | status | note |
|---|
| numpy.c_ | | | |
| numpy.r_ | | | |
| numpy.nonzero | Return the indices of the elements that are non-zero. | | |
| numpy.where | Return elements, either from x or y, depending on condition. | | |
| numpy.indices | Returns an array representing the indices of a grid. | | |
| numpy.ix_ | i | | |
| numpy.unravel_index | Converts array of flat indices into a tuple of coordinate arrays. | | |
| numpy.take | Takes elements of an array at specified indices along an axis. | 1 | |
| numpy.choose | | | |
| numpy.diag | Returns a diagonal or a diagonal array. | | |
| numpy.diagonal | Returns specified diagonals. | | |
| numpy.lib.stride_tricks.as_strided | Create a view into the array with the given shape and strides. | | |
| numpy.place | Change elements of an array based on conditional and input values. | | |
| numpy.put | Replaces specified elements of an array with given values. | | |
| numpy.fill_diagonal | Fills the main diagonal of the given array of any dimensionality. | | |
| op | description | status | note |
|---|
| numpy.load | Loads arrays or pickled objects from .npy, .npz or pickled file. | 1 | |
| numpy.save | Saves an array to a binary file in .npy format. | 1 | |
| numpy.savez | Saves one or more arrays into a file in uncompressed .npz format. | | |
| numpy.savez_compressed | Saves one or more arrays into a file in compressed .npz format. | | |
| op | description | status | note |
|---|
| numpy.array_repr | Returns the string representation of an array. | | |
| numpy.array_str | Returns the string representation of the content of an array. | | |
| op | description | status | note |
|---|
| numpy.binary_repr | Return the binary representation of the input number as a string. | | |
| numpy.base_repr | Return a string representation of a number in the given base system. | | |
| op | description | status | note |
|---|
| numpy.dot | Returns a dot product of two arrays. | 1 | |
| numpy.vdot | Returns the dot product of two vectors. | 1 | PR in progress |
| numpy.inner | Returns the inner product of two arrays. | 1 | PR in progress |
| numpy.outer | Returns the outer product of two vectors. | 1 | PR in progress |
| numpy.matmul | Returns the matrix product of two arrays and is the implementation of the @ operator introduced in Python 3.5 following PEP465. | | dep: einsum |
| numpy.tensordot | Returns the tensor dot product of two arrays along specified axes. | 1 | PR15349 |
| numpy.einsum | Evaluates the Einstein summation convention on the operands. | 1 | PR15493 |
| numpy.linalg.matrix_power | Raise a square matrix to the (integer) power n. | | dep: matmul |
| numpy.kron | Returns the kronecker product of two arrays. | 1 | PR15893 |
| op | description | status | note |
|---|
| numpy.linalg.cholesky | Cholesky decomposition. | | |
| numpy.linalg.qr | QR decomposition. | | |
| numpy.linalg.svd | Singular Value Decomposition. | | wip |
| op | description | status | note |
|---|
| numpy.linalg.eigh | Eigenvalues and eigenvectors of a symmetric matrix. | | |
| numpy.linalg.eigvalsh | Calculates eigenvalues of a symmetric matrix. | | |
| op | description | status | note |
|---|
| numpy.linalg.det | Retruns the deteminant of an array. | 1 | |
| numpy.linalg.norm | Returns one of matrix norms specified by ord parameter. | 1 | |
| numpy.linalg.matrix_rank | Return matrix rank of array using SVD method | | |
| numpy.linalg.slogdet | Returns sign and logarithm of the determinant of an array. | 1 | |
| numpy.trace | Returns the sum along the diagonals of an array. | 1 | PR15258 |
| op | description | status | note |
|---|
| numpy.linalg.solve | Solves a linear matrix equation. | | |
| numpy.linalg.tensorsolve | Solves tensor equations denoted by ax` `=` `b. | | |
| numpy.linalg.inv | Computes the inverse of a matrix. | | |
| numpy.linalg.pinv | Compute the Moore-Penrose pseudoinverse of a matrix. | | |
| numpy.linalg.tensorinv | Computes the inverse of a tensor. | | |
| cupyx.scipy.linalg.lu_factor | LU decomposition. | | |
| cupyx.scipy.linalg.lu_solve | Solve an equation system, a` `*` `x` `=` `b, given the LU factorization of a | | |
| cupyx.scipy.linalg.solve_triangular | Solve the equation a x = b for x, assuming a is a triangular matrix. | | |
| op | description | status | note |
|---|
| numpy.all | Tests whether all array elements along a given axis evaluate to True. | | |
| numpy.any | Tests whether any array elements along a given axis evaluate to True. | | |
| op | description | status | note |
|---|
| numpy.isfinite | Tests finiteness elementwise. | | |
| numpy.isinf | Tests if each element is the positive or negative infinity. | | |
| numpy.isnan | Tests if each element is a NaN. | | |
| op | description | status | note |
|---|
| numpy.iscomplex | Returns a bool array, where True if input element is complex. | | |
| numpy.iscomplexobj | Check for a complex type or an array of complex numbers. | | |
| numpy.isfortran | Returns True if the array is Fortran contiguous but not C contiguous. | | |
| numpy.isreal | Returns a bool array, where True if input element is real. | | |
| numpy.isrealobj | Return True if x is a not complex type or an array of complex numbers. | | |
| numpy.isscalar | Returns True if the type of num is a scalar type. | | |
| op | description | status | note |
|---|
| numpy.logical_and | Computes the logical AND of two arrays. | | |
| numpy.logical_or | Computes the logical OR of two arrays. | | |
| numpy.logical_not | Computes the logical NOT of an array. | 1 | |
| numpy.logical_xor | Computes the logical XOR of two arrays. | | |
| op | description | status | note |
|---|
| numpy.allclose | Returns True if two arrays are element-wise equal within a tolerance. | | |
| numpy.isclose | Returns a boolean array where two arrays are equal within a tolerance. | | |
| numpy.greater | Tests elementwise if x1` `>` `x2. | 1 | Re-implement to return boolean ndarray |
| numpy.greater_equal | Tests elementwise if x1` `>=` `x2. | 1 | |
| numpy.less | Tests elementwise if x1` `<` `x2. | 1 | |
| numpy.less_equal | Tests elementwise if x1` `<=` `x2. | 1 | |
| numpy.equal | Tests elementwise if x1` `==` `x2. | 1 | |
| numpy.not_equal | Tests elementwise if x1` `!=` `x2. | 1 | |
| op | description | status | note |
|---|
| numpy.sin | Elementwise sine function. | 1 | |
| numpy.cos | Elementwise cosine function. | 1 | |
| numpy.tan | Elementwise tangent function. | 1 | |
| numpy.arcsin | Elementwise inverse-sine function (a.k.a. | 1 | |
| numpy.arccos | Elementwise inverse-cosine function (a.k.a. | 1 | |
| numpy.arctan | Elementwise inverse-tangent function (a.k.a. | 1 | |
| numpy.hypot | Computes the hypoteneous of orthogonal vectors of given length. | | PR15901 |
| numpy.arctan2 | Elementwise inverse-tangent of the ratio of two arrays. | 1 | PR15890 |
| numpy.degrees | Converts angles from radians to degrees elementwise. | 1 | |
| numpy.radians | Converts angles from degrees to radians elementwise. | 1 | |
| numpy.unwrap | Unwrap by changing deltas between values to 2*pi complement. | | |
| numpy.deg2rad | Converts angles from degrees to radians elementwise. | 1 | PR16015 |
| numpy.rad2deg | Converts angles from radians to degrees elementwise. | 1 | |
| op | description | status | note |
|---|
| numpy.sinh | Elementwise hyperbolic sine function. | 1 | |
| numpy.cosh | Elementwise hyperbolic cosine function. | 1 | |
| numpy.tanh | Elementwise hyperbolic tangent function. | 1 | |
| numpy.arcsinh | Elementwise inverse of hyperbolic sine function. | 1 | |
| numpy.arccosh | Elementwise inverse of hyperbolic cosine function. | 1 | |
| numpy.arctanh | Elementwise inverse of hyperbolic tangent function. | 1 | |
| op | description | status | note |
|---|
| numpy.around | Rounds to the given number of decimals. | | |
| numpy.round_ | | | |
| numpy.rint | Rounds each element of an array to the nearest integer. | 1 | |
| numpy.fix | If given value x is positive, it return floor(x). | 1 | |
| numpy.floor | Rounds each element of an array to its floor integer. | 1 | |
| numpy.ceil | Rounds each element of an array to its ceiling integer. | 1 | |
| numpy.trunc | Rounds each element of an array towards zero. | 1 | |
| op | description | status | note |
|---|
| numpy.prod | Returns the product of an array along given axes. | 1 | |
| numpy.sum | Returns the sum of an array along given axes. | 1 | |
| numpy.cumprod | Returns the cumulative product of an array along a given axis. | 1 | PR15855 |
| numpy.cumsum | Returns the cumulative sum of an array along a given axis. | 1 | PR15309 |
| numpy.diff | Calculate the n-th discrete difference along the given axis. | 1 | PR15906 |
| op | description | status | note |
|---|
numpy.exp | Elementwise exponential function. | 1 | |
numpy.expm1 | Computes exp(x)` `-` `1 elementwise. | 1 | |
| numpy.exp2 | Elementwise exponentiation with base 2. | | WIP sguangyo@ |
| numpy.log | Elementwise natural logarithm function. | 1 | |
| numpy.log10 | Elementwise common logarithm function. | 1 | |
| numpy.log2 | Elementwise binary logarithm function. | 1 | |
| numpy.log1p | Computes log(1` `+` `x) elementwise. | 1 | |
| numpy.logaddexp | Computes log(exp(x1)` `+` `exp(x2)) elementwise. | 1 | |
| numpy.logaddexp2 | Computes log2(exp2(x1)` `+` `exp2(x2)) elementwise. | 1 | |
| op | description | status | note |
|---|
| numpy.i0 | Modified Bessel function of the first kind, order 0. | | |
| numpy.sinc | Elementwise sinc function. | | |
| op | description | status | note |
|---|
| numpy.signbit | Tests elementwise if the sign bit is set (i.e. | | |
| numpy.copysign | Returns the first argument with the sign bit of the second elementwise. | | |
| numpy.frexp | Decomposes each element to mantissa and two’s exponent. | | |
| numpy.ldexp | Computes x1` `*` `2` `**` `x2 elementwise. | | |
| numpy.nextafter | Computes the nearest neighbor float values towards the second argument. | | |
| op | description | status | note |
|---|
| numpy.add | Adds two arrays elementwise. | 1 | |
| numpy.reciprocal | Computes 1` `/` `x elementwise. | 1 | |
| numpy.negative | Takes numerical negative elementwise. | 1 | |
| numpy.multiply | Multiplies two arrays elementwise. | 1 | |
| numpy.divide | Elementwise true division (i.e. | 1 | |
| numpy.power | Computes x1` `**` `x2 elementwise. | 1 | |
| numpy.subtract | Subtracts arguments elementwise. | 1 | |
| numpy.true_divide | Elementwise true division (i.e. | 1 | |
| numpy.floor_divide | Elementwise floor division (i.e. | 1 | |
| numpy.fmod | Computes the remainder of C division elementwise. | | |
| numpy.mod | Computes the remainder of Python division elementwise. | 1 | |
| numpy.modf | Extracts the fractional and integral parts of an array elementwise. | | |
| numpy.remainder | Computes the remainder of Python division elementwise. | 1 | |
| numpy.divmod | | | |
| op | description | status | note |
|---|
| numpy.angle | Returns the angle of the complex argument. | | |
| numpy.real | Returns the real part of the elements of the array. | | |
| numpy.imag | Returns the imaginary part of the elements of the array. | | |
| numpy.conj | Returns the complex conjugate, element-wise. | | |
| op | description | finish | note |
|---|
| numpy.clip | Clips the values of an array to a given interval. | 1 | |
| numpy.sqrt | Elementwise square root function. | 1 | |
| numpy.cbrt | Elementwise cube root function. | 1 | |
| numpy.square | Elementwise square function. | 1 | |
| numpy.absolute | Elementwise absolute value function. | 1 | |
| numpy.sign | Elementwise sign function. | 1 | |
| numpy.maximum | Takes the maximum of two arrays elementwise. | 1 | |
| numpy.minimum | Takes the minimum of two arrays elementwise. | 1 | |
| numpy.fmax | Takes the maximum of two arrays elementwise. | | WIP(tvm) guangtai@ #15800 |
| numpy.fmin | Takes the minimum of two arrays elementwise. | | |
| numpy.nan_to_num | Elementwise nan_to_num function. | | |
| numpy.blackman | Returns the Blackman window. | 1 | PR15815 |
| numpy.hamming | Returns the Hamming window. | 1 | |
| numpy.hanning | Returns the Hanning window. | 1 | |
| op | description | status | note |
|---|
| numpy.pad | Returns padded array. | | |
The big difference of [``numpy.random Unlike NumPy, CuPy allows itself to replace its random number generator across its major versions. It means that numbers generated by numpy.random of a new major version may not be the same as that of its previous one even if the same seed and distribution are used.
| op | description | status | note |
|---|
| numpy.random.rand | Returns an array of uniform random values over the interval [0,` `1). | | |
| numpy.random.randn | Returns an array of standard normal random values. | | |
| numpy.random.randint | Returns a scalar or an array of integer values over [low,` `high). | 1 | |
| numpy.random.random_integers | Return a scalar or an array of integer values over [low,` `high] | | |
| numpy.random.random_sample | Returns an array of random values over the interval [0,` `1). | | |
| numpy.random.random | Returns an array of random values over the interval [0,` `1). | | |
| numpy.random.ranf | Returns an array of random values over the interval [0,` `1). | | |
| numpy.random.sample | Returns an array of random values over the interval [0,` `1). | | |
| numpy.random.choice | Returns an array of random values from a given 1-D array. | 1 | |
| numpy.random.bytes | Returns random bytes. | | |
| op | description | status | note |
|---|
| numpy.random.beta | Beta distribution. | | |
| numpy.random.binomial | Binomial distribution. | | |
| numpy.random.chisquare | Chi-square distribution. | | |
| numpy.random.dirichlet | Dirichlet distribution. | | |
| numpy.random.exponential | Exponential distribution. | | |
| numpy.random.f | F distribution. | | |
| numpy.random.gamma | Gamma distribution. | 1 | |
| numpy.random.geometric | Geometric distribution. | | |
| numpy.random.gumbel | Returns an array of samples drawn from a Gumbel distribution. | | |
| numpy.random.hypergeometric | hypergeometric distribution. | | |
| numpy.random.laplace | Laplace distribution. | | |
| numpy.random.logistic | Logistic distribution. | | |
| numpy.random.lognormal | Returns an array of samples drawn from a log normal distribution. | | |
| numpy.random.logseries | Log series distribution. | | |
| numpy.random.multinomial | Returns an array from multinomial distribution. | 1 | |
| numpy.random.multivariate_normal | (experimental) Multivariate normal distribution. | | |
| numpy.random.negative_binomial | Negative binomial distribution. | | |
| numpy.random.noncentral_chisquare | Noncentral chisquare distribution. | | |
| numpy.random.noncentral_f | Noncentral F distribution. | | |
| numpy.random.normal | Returns an array of normally distributed samples. | 1 | |
| numpy.random.pareto | Pareto II or Lomax distribution. | | |
| numpy.random.poisson | Poisson distribution. | | |
| numpy.random.power | Power distribution. | | |
| numpy.random.rayleigh | Rayleigh distribution. | | |
| numpy.random.standard_cauchy | Standard cauchy distribution. | | |
| numpy.random.standard_exponential | Standard exponential distribution. | | |
| numpy.random.standard_gamma | Standard gamma distribution. | | |
| numpy.random.standard_normal | Returns an array of samples drawn from the standard normal distribution. | | |
| numpy.random.standard_t | Standard Student’s t distribution. | | |
| numpy.random.triangular | Triangular distribution. | | |
| numpy.random.uniform | Returns an array of uniformly-distributed samples over an interval. | 1 | |
| numpy.random.vonmises | von Mises distribution. | | |
| numpy.random.wald | Wald distribution. | | |
| numpy.random.weibull | weibull distribution. | | |
| numpy.random.zipf | Zipf distribution. | | |
| op | description | status | note |
|---|
| numpy.random.RandomState | Portable container of a pseudo-random number generator. | | |
| numpy.random.seed | Resets the state of the random number generator with a seed. | | |
| numpy.random.get_random_state | Gets the state of the random number generator for the current device. | | |
| numpy.random.set_random_state | Sets the state of the random number generator for the current device. | | |
Note CuPy does not provide numpy.random.get_state nor numpy.random.set_state at this time. Use [``numpy.random.get_random_state()
| op | description | status | note |
|---|
| numpy.random.shuffle | Shuffles an array. | 1 | |
| numpy.random.permutation | Returns a permuted range or a permutation of an array. | | |
| op | description | status | note |
|---|
| numpy.sort | Returns a sorted copy of an array with a stable sorting algorithm. | | |
| numpy.lexsort | Perform an indirect sort using an array of keys. | | |
| numpy.argsort | Returns the indices that would sort an array with a stable sorting. | 1 | |
| numpy.msort | Returns a copy of an array sorted along the first axis. | | |
| numpy.partition | Returns a partitioned copy of an array. | | |
| numpy.argpartition | Returns the indices that would partially sort an array. | | |
See also numpy.ndarray.sort()
| op | description | status | note |
|---|
| numpy.argmax | Returns the indices of the maximum along an axis. | 1 | |
| numpy.argmin | Returns the indices of the minimum along an axis. | | |
| numpy.nonzero | Return the indices of the elements that are non-zero. | 1 | |
| numpy.flatnonzero | Return indices that are non-zero in the flattened version of a. | | |
| numpy.where | Return elements, either from x or y, depending on condition. | | |
| op | description | status | note |
|---|
| numpy.count_nonzero | Counts the number of non-zero values in the array. | | |
