Source code for numpy_ipps.floating

"""Complex Functions."""
import numpy as _numpy

import numpy_ipps._detail.metaclass.binaries as _binaries
import numpy_ipps._detail.metaclass.selector as _selector
import numpy_ipps._detail.metaclass.unaries as _unaries
import numpy_ipps.policies
import numpy_ipps.support
import numpy_ipps.utils


[docs]class Sqr( metaclass=_unaries.UnaryAccuracy, ipps_backend="Sqr", numpy_backend=_numpy.square, candidates=numpy_ipps.policies.no_complex_candidates, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Sqr Function. ``dst[n] <- src[n] * src[n]`` """ pass
[docs]class Sqr_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Sqr", numpy_backend=_numpy.square, candidates=numpy_ipps.policies.no_complex_candidates, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Sqr_I Function. ``src_dst[n] <- src_dst[n] * src_dst[n]`` """ pass
[docs]class Abs( metaclass=_unaries.UnaryAccuracy, ipps_backend="Abs", numpy_backend=_numpy.fabs, candidates=numpy_ipps.policies.no_complex_candidates, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Abs Function. ``src[n] <- | dst[n] |`` """ pass
[docs]class Abs_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Abs", numpy_backend=_numpy.fabs, candidates=numpy_ipps.policies.no_complex_candidates, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Abs_I Function. ``src_dst[n] <- | src_dst[n] |`` """ pass
class _SqrtIPPSImpl( metaclass=_unaries.UnaryAccuracy, ipps_backend="Sqrt", numpy_backend=_numpy.sqrt, ): """Sqrt Function -- Intel IPPS implementation.""" pass class _SqrtNumpyImpl( metaclass=_unaries.UnaryAccuracy, ipps_backend="Sqrt", numpy_backend=_numpy.sqrt, force_numpy=True, ): """Sqrt Function -- Numpy implementation.""" pass
[docs]class Sqrt( metaclass=_selector.SelectorAccuracy, ipps_class=_SqrtIPPSImpl, numpy_class=_SqrtNumpyImpl, numpy_types_L1=( _numpy.complex64, _numpy.complex128, ), ): """Sqrt Function. ``dst[n] <- sqrt( src[n] )`` """ pass
class _SqrtIIPPSImpl( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Sqrt", numpy_backend=_numpy.sqrt, ): """Sqrt_I Function -- Intel IPPS implementation.""" pass class _SqrtINumpyImpl( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Sqrt", numpy_backend=_numpy.sqrt, force_numpy=True, ): """Sqrt_I Function -- Numpy implementation.""" pass
[docs]class Sqrt_I( metaclass=_selector.SelectorAccuracy, ipps_class=_SqrtIIPPSImpl, numpy_class=_SqrtINumpyImpl, numpy_types_L2=(_numpy.float64,), numpy_types_L1=( _numpy.complex64, _numpy.complex128, ), ): """Sqrt_I Function. ``src_dst[n] <- sqrt( src_dst[n] )`` """ pass
[docs]class Cbrt( metaclass=_unaries.UnaryAccuracy, ipps_backend="Cbrt", numpy_backend=_numpy.cbrt, candidates=numpy_ipps.policies.no_complex_candidates, ): """Cbrt Function. ``dst[n] <- cbrt( src[n] )`` """ pass
[docs]class Cbrt_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Cbrt", numpy_backend=_numpy.cbrt, candidates=numpy_ipps.policies.no_complex_candidates, ): """Cbrt_I Function. ``src_dst[n] <- cbrt( src_dst[n] )`` """ pass
[docs]class Inv( metaclass=_unaries.UnaryAccuracy, ipps_backend="Inv", candidates=numpy_ipps.policies.no_complex_candidates, ): """Inv Function. ``dst[n] <- 1 / src[n]`` """ pass
[docs]class Inv_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Inv", candidates=numpy_ipps.policies.no_complex_candidates, ): """Inv_I Function. ``src_dst[n] <- 1 / src_dst[n]`` """ pass
[docs]class InvSqrt( metaclass=_unaries.UnaryAccuracy, ipps_backend="InvSqrt", candidates=numpy_ipps.policies.no_complex_candidates, ): """InvSqrt Function. ``dst[n] <- 1 / sqrt( src[n] )`` """ pass
[docs]class InvSqrt_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="InvSqrt", candidates=numpy_ipps.policies.no_complex_candidates, ): """InvSqrt_I Function. ``src_dst[n] <- 1 / sqrt( src_dst[n] )`` """ pass
[docs]class InvCbrt( metaclass=_unaries.UnaryAccuracy, ipps_backend="InvCbrt", candidates=numpy_ipps.policies.no_complex_candidates, ): """InvCbrt Function. ``dst[n] <- 1 / cbrt( src[n] )`` """ pass
[docs]class InvCbrt_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="InvCbrt", candidates=numpy_ipps.policies.no_complex_candidates, ): """InvCbrt_I Function. ``src_dst[n] <- 1 / cbrt( src_dst[n] )`` """ pass
[docs]class Pow2o3( metaclass=_unaries.UnaryAccuracy, ipps_backend="Pow2o3", candidates=numpy_ipps.policies.no_complex_candidates, ): """Pow2o3 Function. ``dst[n] <- cbrt( src[n] * src[n] )`` """ pass
[docs]class Pow2o3_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Pow2o3", candidates=numpy_ipps.policies.no_complex_candidates, ): """Pow2o3_I Function. ``src_dst[n] <- cbrt( src_dst[n] * src_dst[n] )`` """ pass
[docs]class Pow3o2( metaclass=_unaries.UnaryAccuracy, ipps_backend="Pow3o2", candidates=numpy_ipps.policies.no_complex_candidates, ): """Pow3o2 Function. ``dst[n] <- sqrt( src[n] * src[n] * src[n] )`` """ pass
class _Pow3o2_I( metaclass=_unaries.UnaryAccuracy_I, ipps_backend="Pow3o2", candidates=numpy_ipps.policies.no_complex_candidates, ): """Pow3o2_I Function. ``src_dst[n] <- sqrt( src_dst[n] * src_dst[n] * src_dst[n] )`` """ pass
[docs]class Add( metaclass=_binaries.BinaryAccuracy, ipps_backend="Add", numpy_backend=_numpy.add, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Add Function. ``dst[n] <- src1[n] + src2[n]`` """ pass
[docs]class Add_I( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Add", numpy_backend=_numpy.add, candidates=numpy_ipps.policies.no_complex_candidates, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Add_I Function. ``src_dst[n] <- src_dst[n] + src[n]`` """ pass
class _SubIPPSImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Sub", numpy_backend=_numpy.subtract, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Sub Function -- Intel IPPS implementation.""" pass class _SubNumpyImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Sub", numpy_backend=_numpy.subtract, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), force_numpy=True, ): """Sub Function -- Numpy implementation.""" pass
[docs]class Sub( metaclass=_selector.SelectorAccuracy, ipps_class=_SubIPPSImpl, numpy_class=_SubNumpyImpl, numpy_types_L2=(_numpy.complex128,), ): """Sub Function. ``dst[n] <- src1[n] - src2[n]`` """ pass
class _SubIIPPSImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Sub", numpy_backend=_numpy.subtract, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Sub_I Function -- Intel IPPS implementation.""" pass class _SubINumpyImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Sub", numpy_backend=_numpy.subtract, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), force_numpy=True, ): """Sub_I Function -- Numpy implementation.""" pass
[docs]class Sub_I( metaclass=_selector.SelectorAccuracy, ipps_class=_SubIIPPSImpl, numpy_class=_SubINumpyImpl, numpy_types_L2=(_numpy.complex128,), ): """Sub_I Function. ``src_dst[n] <- src_dst[n] - src[n]`` """ pass
class _SubRevIIPPSImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Sub", numpy_backend=_numpy.subtract, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), numpy_swap=True, reverse=True, ): """SubRev_I Function -- Intel IPPS implementation.""" pass class _SubRevINumpyImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Sub", numpy_backend=_numpy.subtract, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), numpy_swap=True, reverse=True, force_numpy=True, ): """SubRev_I Function -- Numpy implementation.""" pass
[docs]class SubRev_I( metaclass=_selector.SelectorAccuracy, ipps_class=_SubRevIIPPSImpl, numpy_class=_SubRevINumpyImpl, numpy_types_L2=(_numpy.complex128,), ): """SubRev_I Function. ``src_dst[n] <- src[n] - src_dst[n]`` """ pass
class _MulIPPSImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Mul", numpy_backend=_numpy.multiply, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Mul Function.""" pass class _MulNumpyImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Mul", numpy_backend=_numpy.multiply, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), force_numpy=True, ): """Mul Function.""" pass
[docs]class Mul( metaclass=_selector.SelectorAccuracy, ipps_class=_MulIPPSImpl, numpy_class=_MulNumpyImpl, numpy_types_L1=(_numpy.complex128,), ): """Mul Function. ``dst[n] <- src1[n] * src2[n]`` """ pass
[docs]class Mul_I( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Mul", numpy_backend=_numpy.multiply, candidates=numpy_ipps.policies.no_complex_candidates, accuracies=(numpy_ipps.policies.Accuracy.LEVEL_3,), ): """Mul_I Function. ``src_dst[n] <- src_dst[n] * src[n]`` """ pass
class _DivIPPSImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Div", numpy_backend=_numpy.divide, ): """Div Function -- Intel IPPS implementation.""" pass class _DivNumpyImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Div", numpy_backend=_numpy.divide, force_numpy=True, ): """Div Function -- Numpy implementation.""" pass
[docs]class Div( metaclass=_selector.SelectorAccuracy, ipps_class=_DivIPPSImpl, numpy_class=_DivNumpyImpl, numpy_types_L2=(_numpy.float64,), numpy_types_L1=(_numpy.complex128,), ): """Div Function. ``dst[n] <- src1[n] / src2[n]`` """ pass
class _DivIIPPSImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Div", numpy_backend=_numpy.divide, ): """Div_I Function -- Intel IPPS implementation.""" pass class _DivINumpyImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Div", numpy_backend=_numpy.divide, force_numpy=True, ): """Div_I Function -- Numpy implementation.""" pass
[docs]class Div_I( metaclass=_selector.SelectorAccuracy, ipps_class=_DivIIPPSImpl, numpy_class=_DivINumpyImpl, numpy_types_L1=(_numpy.complex128,), ): """Div_I Function. ``src_dst[n] <- src[n] / src_dst[n]`` """ pass
class _DivRevIIPPSImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Div", numpy_backend=_numpy.divide, numpy_swap=True, reverse=True, ): """DivRev_I Function -- Intel IPPS implementation.""" pass class _DivRevINumpyImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Div", numpy_backend=_numpy.divide, numpy_swap=True, reverse=True, force_numpy=True, ): """DivRev_I Function -- Numpy implementation.""" pass
[docs]class DivRev_I( metaclass=_selector.SelectorAccuracy, ipps_class=_DivRevIIPPSImpl, numpy_class=_DivRevINumpyImpl, numpy_types_L1=(_numpy.complex128,), ): """DivRev_I Function. ``src_dst[n] <- src_dst[n] / src[n]`` """ pass
class _PowIPPSImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Pow", numpy_backend=_numpy.power, ): """Pow Function -- Intel IPPS implementation.""" pass class _PowNumpyImpl( metaclass=_binaries.BinaryAccuracy, ipps_backend="Pow", numpy_backend=_numpy.power, force_numpy=True, ): """Pow Function -- Numpy implementation.""" pass
[docs]class Pow( metaclass=_selector.SelectorAccuracy, ipps_class=_PowIPPSImpl, numpy_class=_PowNumpyImpl, numpy_types_L1=( _numpy.complex64, _numpy.complex128, ), ): """Pow Function. ``dst[n] <- src1[n] ** src2[n]`` """ pass
class _PowIIPPSImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Pow", numpy_backend=_numpy.power, ): """Pow_I Function -- Intel IPPS implementation.""" pass class _PowINumpyImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Pow", numpy_backend=_numpy.power, force_numpy=True, ): """Pow_I Function -- Numpy implementation.""" pass class _Pow_I( metaclass=_selector.SelectorAccuracy, ipps_class=_PowIIPPSImpl, numpy_class=_PowINumpyImpl, numpy_types_L1=(_numpy.complex128,), ): """Pow_I Function. ``src_dst[n] <- src_dst[n] ** src[n]`` """ pass class _PowRevIIPPSImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Pow", numpy_backend=_numpy.power, numpy_swap=True, reverse=True, ): """PowRev_I Function -- Intel IPPS implementation.""" pass class _PowRevINumpyImpl( metaclass=_binaries.BinaryAccuracy_I, ipps_backend="Pow", numpy_backend=_numpy.power, numpy_swap=True, reverse=True, force_numpy=True, ): """PowRev_I Function -- Numpy implementation.""" pass
[docs]class PowRev_I( metaclass=_selector.SelectorAccuracy, ipps_class=_PowRevIIPPSImpl, numpy_class=_PowRevINumpyImpl, numpy_types_L2=(_numpy.complex128,), numpy_types_L1=(_numpy.float32,), ): """PowRev_I Function. ``src_dst[n] <- src[n] ** src_dst[n]`` """ pass