Logic functions

Hint

NumPy API Reference: Logic functions

Truth value testing

all(a[, axis, out, keepdims])	Tests whether all array elements along a given axis evaluate to True.
any(a[, axis, out, keepdims])	Tests whether any array elements along a given axis evaluate to True.

Array contents

isfinite	Tests finiteness elementwise.
isinf	Tests if each element is the positive or negative infinity.
isnan	Tests if each element is a NaN.

Array type testing

iscomplex(x)	Returns a bool array, where True if input element is complex.
iscomplexobj(x)	Check for a complex type or an array of complex numbers.
isfortran(a)	Returns True if the array is Fortran contiguous but not C contiguous.
isreal(x)	Returns a bool array, where True if input element is real.
isrealobj(x)	Return True if x is a not complex type or an array of complex numbers.
isscalar(element)	Returns True if the type of num is a scalar type.

Logic operations

logical_and	Computes the logical AND of two arrays.
logical_or	Computes the logical OR of two arrays.
logical_not	Computes the logical NOT of an array.
logical_xor	Computes the logical XOR of two arrays.

Comparison

allclose(a, b[, rtol, atol, equal_nan])	Returns True if two arrays are element-wise equal within a tolerance.
isclose(a, b[, rtol, atol, equal_nan])	Returns a boolean array where two arrays are equal within a tolerance.
array_equal(a1, a2[, equal_nan])	Returns True if two arrays are element-wise exactly equal.
greater	Tests elementwise if x1 > x2.
greater_equal	Tests elementwise if x1 >= x2.
less	Tests elementwise if x1 < x2.
less_equal	Tests elementwise if x1 <= x2.
equal	Tests elementwise if x1 == x2.
not_equal	Tests elementwise if x1 != x2.

cupy.linalg.tensorinv cupy.all