Operations

abs(a, /, *[, stream])	Element-wise absolute value.
add(a, b[, stream])	Element-wise addition.
all(a, /[, axis, keepdims, stream])	An and reduction over the given axes.
allclose(a, b, /[, rtol, atol, equal_nan, ...])	Approximate comparison of two arrays.
any(a, /[, axis, keepdims, stream])	An or reduction over the given axes.
arange(-> array)	Generates ranges of numbers.
arccos(a, /, *[, stream])	Element-wise inverse cosine.
arccosh(a, /, *[, stream])	Element-wise inverse hyperbolic cosine.
arcsin(a, /, *[, stream])	Element-wise inverse sine.
arcsinh(a, /, *[, stream])	Element-wise inverse hyperbolic sine.
arctan(a, /, *[, stream])	Element-wise inverse tangent.
arctan2(a, b, /, *[, stream])	Element-wise inverse tangent of the ratio of two arrays.
arctanh(a, /, *[, stream])	Element-wise inverse hyperbolic tangent.
argmax(a, /[, axis, keepdims, stream])	Indices of the maximum values along the axis.
argmin(a, /[, axis, keepdims, stream])	Indices of the minimum values along the axis.
argpartition(a, /, kth[, axis, stream])	Returns the indices that partition the array.
argsort(a, /[, axis, stream])	Returns the indices that sort the array.
array_equal(a, b[, equal_nan, stream])	Array equality check.
atleast_1d(*arys[, stream])	Convert all arrays to have at least one dimension.
atleast_2d(*arys[, stream])	Convert all arrays to have at least two dimensions.
atleast_3d(*arys[, stream])	Convert all arrays to have at least three dimensions.
bitwise_and(a, b[, stream])	Element-wise bitwise and.
bitwise_or(a, b[, stream])	Element-wise bitwise or.
bitwise_xor(a, b[, stream])	Element-wise bitwise xor.
block_masked_mm(a, b, /, block_size, ...)	Matrix multiplication with block masking.
block_sparse_mm(a, b, /, lhs_indices, ...[, ...])	Matrix multiplication with matrix-level gather.
broadcast_to(a, /, shape, *[, stream])	Broadcast an array to the given shape.
ceil(a, /, *[, stream])	Element-wise ceil.
clip(a, /, a_min, a_max, *[, stream])	Clip the values of the array between the given minimum and maximum.
concatenate(arrays[, axis, stream])	Concatenate the arrays along the given axis.
conj(a, *[, stream])	Return the elementwise complex conjugate of the input.
conjugate(a, *[, stream])	Return the elementwise complex conjugate of the input.
convolve(a, v, /[, mode, stream])	The discrete convolution of 1D arrays.
conv1d(input, weight, /[, stride, padding, ...])	1D convolution over an input with several channels
conv2d(input, weight, /[, stride, padding, ...])	2D convolution over an input with several channels
conv_general(input, weight, /[, stride, ...])	General convolution over an input with several channels
cos(a, /, *[, stream])	Element-wise cosine.
cosh(a, /, *[, stream])	Element-wise hyperbolic cosine.
cummax(a, /[, axis, reverse, inclusive, stream])	Return the cumulative maximum of the elements along the given axis.
cummin(a, /[, axis, reverse, inclusive, stream])	Return the cumulative minimum of the elements along the given axis.
cumprod(a, /[, axis, reverse, inclusive, stream])	Return the cumulative product of the elements along the given axis.
cumsum(a, /[, axis, reverse, inclusive, stream])	Return the cumulative sum of the elements along the given axis.
degrees(a, /, *[, stream])	Convert angles from radians to degrees.
dequantize(w, /, scales, biases[, ...])	Dequantize the matrix w using the provided scales and biases and the group_size and bits configuration.
diag(a, /[, k, stream])	Extract a diagonal or construct a diagonal matrix.
diagonal(a[, offset, axis1, axis2, stream])	Return specified diagonals.
divide(a, b[, stream])	Element-wise division.
divmod(a, b[, stream])	Element-wise quotient and remainder.
equal(a, b[, stream])	Element-wise equality.
erf(a, /, *[, stream])	Element-wise error function.
erfinv(a, /, *[, stream])	Element-wise inverse of erf().
exp(a, /, *[, stream])	Element-wise exponential.
expm1(a, /, *[, stream])	Element-wise exponential minus 1.
expand_dims(a, /, axis, *[, stream])	Add a size one dimension at the given axis.
eye(n[, m, k, dtype, stream])	Create an identity matrix or a general diagonal matrix.
flatten(a, /[, start_axis, end_axis, stream])	Flatten an array.
floor(a, /, *[, stream])	Element-wise floor.
floor_divide(a, b[, stream])	Element-wise integer division.
full(shape, vals[, dtype, stream])	Construct an array with the given value.
greater(a, b[, stream])	Element-wise greater than.
greater_equal(a, b[, stream])	Element-wise greater or equal.
identity(n[, dtype, stream])	Create a square identity matrix.
inner(a, b, /, *[, stream])	Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes.
isclose(a, b, /[, rtol, atol, equal_nan, stream])	Returns a boolean array where two arrays are element-wise equal within a tolerance.
isinf(a[, stream])	Return a boolean array indicating which elements are +/- inifnity.
isnan(a[, stream])	Return a boolean array indicating which elements are NaN.
isneginf(a[, stream])	Return a boolean array indicating which elements are negative infinity.
isposinf(a[, stream])	Return a boolean array indicating which elements are positive infinity.
left_shift(a, b[, stream])	Element-wise left shift.
less(a, b[, stream])	Element-wise less than.
less_equal(a, b[, stream])	Element-wise less than or equal.
linspace(start, stop[, num, dtype, stream])	Generate num evenly spaced numbers over interval [start, stop].
load(file, /[, format, return_metadata, stream])	Load array(s) from a binary file.
log(a, /, *[, stream])	Element-wise natural logarithm.
log2(a, /, *[, stream])	Element-wise base-2 logarithm.
log10(a, /, *[, stream])	Element-wise base-10 logarithm.
log1p(a, /, *[, stream])	Element-wise natural log of one plus the array.
logaddexp(a, b, /, *[, stream])	Element-wise log-add-exp.
logical_not(a, /, *[, stream])	Element-wise logical not.
logical_and(a, b, /, *[, stream])	Element-wise logical and.
logical_or(a, b, /, *[, stream])	Element-wise logical or.
logsumexp(a, /[, axis, keepdims, stream])	A log-sum-exp reduction over the given axes.
matmul(a, b, /, *[, stream])	Matrix multiplication.
max(a, /[, axis, keepdims, stream])	A max reduction over the given axes.
maximum(a, b, /, *[, stream])	Element-wise maximum.
mean(a, /[, axis, keepdims, stream])	Compute the mean(s) over the given axes.
meshgrid(*arrays[, sparse, indexing, stream])	Generate multidimensional coordinate grids from 1-D coordinate arrays
min(a, /[, axis, keepdims, stream])	A min reduction over the given axes.
minimum(a, b, /, *[, stream])	Element-wise minimum.
moveaxis(a, /, source, destination, *[, stream])	Move an axis to a new position.
multiply(a, b[, stream])	Element-wise multiplication.
negative(a, /, *[, stream])	Element-wise negation.
not_equal(a, b[, stream])	Element-wise not equal.
ones(shape[, dtype, stream])	Construct an array of ones.
ones_like(a, /, *[, stream])	An array of ones like the input.
outer(a, b, /, *[, stream])	Compute the outer product of two 1-D arrays, if the array's passed are not 1-D a flatten op will be run beforehand.
partition(a, /, kth[, axis, stream])	Returns a partitioned copy of the array such that the smaller kth elements are first.
pad(a, pad_with[, constant_values, stream])	Pad an array with a constant value
prod(a, /[, axis, keepdims, stream])	An product reduction over the given axes.
quantize(w, /[, group_size, bits, stream])	Quantize the matrix w using bits bits per element.
quantized_matmul(x, w, /, scales, biases[, ...])	Perform the matrix multiplication with the quantized matrix w.
radians(a, /, *[, stream])	Convert angles from degrees to radians.
reciprocal(a, /, *[, stream])	Element-wise reciprocal.
repeat(array, repeats[, axis, stream])	Repeat an array along a specified axis.
reshape(a, /, shape, *[, stream])	Reshape an array while preserving the size.
right_shift(a, b[, stream])	Element-wise right shift.
round(a, /[, decimals, stream])	Round to the given number of decimals.
rsqrt(a, /, *[, stream])	Element-wise reciprocal and square root.
save(file, arr)	Save the array to a binary file in .npy format.
savez(file, *args, **kwargs)	Save several arrays to a binary file in uncompressed .npz format.
savez_compressed(file, *args, **kwargs)	Save several arrays to a binary file in compressed .npz format.
save_gguf(file, arrays, metadata)	Save array(s) to a binary file in .gguf format.
save_safetensors(file, arrays[, metadata])	Save array(s) to a binary file in .safetensors format.
sigmoid(a, /, *[, stream])	Element-wise logistic sigmoid.
sign(a, /, *[, stream])	Element-wise sign.
sin(a, /, *[, stream])	Element-wise sine.
sinh(a, /, *[, stream])	Element-wise hyperbolic sine.
softmax(a, /[, axis, stream])	Perform the softmax along the given axis.
sort(a, /[, axis, stream])	Returns a sorted copy of the array.
split(a, /, indices_or_sections[, axis, stream])	Split an array along a given axis.
sqrt(a, /, *[, stream])	Element-wise square root.
square(a, /, *[, stream])	Element-wise square.
squeeze(a, /[, axis, stream])	Remove length one axes from an array.
stack(arrays[, axis, stream])	Stacks the arrays along a new axis.
std(a, /[, axis, keepdims, ddof, stream])	Compute the standard deviation(s) over the given axes.
stop_gradient(a, /, *[, stream])	Stop gradients from being computed.
subtract(a, b[, stream])	Element-wise subtraction.
sum(a, /[, axis, keepdims, stream])	Sum reduce the array over the given axes.
swapaxes(a, /, axis1, axis2, *[, stream])	Swap two axes of an array.
take(a, /, indices[, axis, stream])	Take elements along an axis.
take_along_axis(a, /, indices[, axis, stream])	Take values along an axis at the specified indices.
tan(a, /, *[, stream])	Element-wise tangent.
tanh(a, /, *[, stream])	Element-wise hyperbolic tangent.
tensordot(a, b, /[, axes, stream])	Compute the tensor dot product along the specified axes.
tile(a, reps, /, *[, stream])	Construct an array by repeating a the number of times given by reps.
topk(a, /, k[, axis, stream])	Returns the k largest elements from the input along a given axis.
transpose(a, /[, axes, stream])	Transpose the dimensions of the array.
tri(n, m, k[, dtype, stream])	An array with ones at and below the given diagonal and zeros elsewhere.
tril(x, k, *[, stream])	Zeros the array above the given diagonal.
triu(x, k, *[, stream])	Zeros the array below the given diagonal.
var(a, /[, axis, keepdims, ddof, stream])	Compute the variance(s) over the given axes.
where(condition, x, y, /, *[, stream])	Select from x or y according to condition.
zeros(shape[, dtype, stream])	Construct an array of zeros.
zeros_like(a, /, *[, stream])	An array of zeros like the input.