| | from cupy import _core |
| |
|
| | import cupy |
| |
|
| |
|
| | def _create_float_test_ufunc(name, doc): |
| | return _core.create_ufunc( |
| | 'cupy_' + name, |
| | ('e->?', 'f->?', 'd->?', 'F->?', 'D->?', |
| | ), 'out0 = %s(in0)' % name, |
| | doc=doc) |
| |
|
| |
|
| | isfinite = _create_float_test_ufunc( |
| | 'isfinite', |
| | '''Tests finiteness elementwise. |
| | |
| | Each element of returned array is ``True`` only if the corresponding |
| | element of the input is finite (i.e. not an infinity nor NaN). |
| | |
| | .. seealso:: :data:`numpy.isfinite` |
| | |
| | ''') |
| |
|
| |
|
| | isinf = _create_float_test_ufunc( |
| | 'isinf', |
| | '''Tests if each element is the positive or negative infinity. |
| | |
| | .. seealso:: :data:`numpy.isinf` |
| | |
| | ''') |
| |
|
| |
|
| | isnan = _create_float_test_ufunc( |
| | 'isnan', |
| | '''Tests if each element is a NaN. |
| | |
| | .. seealso:: :data:`numpy.isnan` |
| | |
| | ''') |
| |
|
| |
|
| | def isneginf(x, out=None): |
| | """Test element-wise for negative infinity, return result as bool array. |
| | |
| | Parameters |
| | ---------- |
| | x : cupy.ndarray |
| | Input array. |
| | out : cupy.ndarray, optional |
| | A location into which the result is stored. If provided, |
| | it should have a shape that input broadcasts to. |
| | By default, None, a freshly- allocated boolean array, |
| | is returned. |
| | |
| | Returns |
| | ------- |
| | y : cupy.ndarray |
| | Boolean array of same shape as ``x``. |
| | |
| | Examples |
| | -------- |
| | >>> cupy.isneginf(0) |
| | array(False) |
| | >>> cupy.isneginf(-cupy.inf) |
| | array(True) |
| | >>> cupy.isneginf(cupy.array([-cupy.inf, -4, cupy.nan, 0, 4, cupy.inf])) |
| | array([ True, False, False, False, False, False]) |
| | |
| | See Also |
| | -------- |
| | numpy.isneginf |
| | |
| | """ |
| |
|
| | is_inf = isinf(x) |
| | try: |
| | signbit = cupy.signbit(x) |
| | except TypeError as e: |
| | dtype = x.dtype |
| | raise TypeError(f'This operation is not supported for {dtype} values ' |
| | 'because it would be ambiguous.') from e |
| |
|
| | |
| | return cupy.logical_and(is_inf, signbit, out=out) |
| |
|
| |
|
| | def isposinf(x, out=None): |
| | """Test element-wise for positive infinity, return result as bool array. |
| | |
| | Parameters |
| | ---------- |
| | x : cupy.ndarray |
| | Input array. |
| | out : cupy.ndarray |
| | A location into which the result is stored. If provided, |
| | it should have a shape that input broadcasts to. |
| | By default, None, a freshly- allocated boolean array, |
| | is returned. |
| | |
| | Returns |
| | ------- |
| | y : cupy.ndarray |
| | Boolean array of same shape as ``x``. |
| | |
| | Examples |
| | -------- |
| | >>> cupy.isposinf(0) |
| | array(False) |
| | >>> cupy.isposinf(cupy.inf) |
| | array(True) |
| | >>> cupy.isposinf(cupy.array([-cupy.inf, -4, cupy.nan, 0, 4, cupy.inf])) |
| | array([False, False, False, False, False, True]) |
| | |
| | See Also |
| | -------- |
| | numpy.isposinf |
| | |
| | """ |
| |
|
| | is_inf = isinf(x) |
| | try: |
| | signbit = ~cupy.signbit(x) |
| | except TypeError as e: |
| | dtype = x.dtype |
| | raise TypeError(f'This operation is not supported for {dtype} values ' |
| | 'because it would be ambiguous.') from e |
| |
|
| | |
| | return cupy.logical_and(is_inf, signbit, out=out) |
| |
|
