Supported Python Features inside numba_dpex.kernel#

This page lists the Python features supported inside a numba_dpex.kernel function.

Built-in types#

Supported Types

  • int

  • float

Unsupported Types

  • complex

  • bool

  • None

  • tuple

Built-in functions#

The following built-in functions are supported:

  • abs()

  • float

  • int

  • len()

  • range()

  • round()

Standard library modules#

The following functions from the math module are supported:

  • math.acos()

  • math.asin()

  • math.atan()

  • math.acosh()

  • math.asinh()

  • math.atanh()

  • math.cos()

  • math.sin()

  • math.tan()

  • math.cosh()

  • math.sinh()

  • math.tanh()

  • math.erf()

  • math.erfc()

  • math.exp()

  • math.expm1()

  • math.fabs()

  • math.gamma()

  • math.lgamma()

  • math.log()

  • math.log10()

  • math.log1p()

  • math.sqrt()

  • math.ceil()

  • math.floor()

The following functions from the operator module are supported:

  • operator.add()

  • operator.eq()

  • operator.floordiv()

  • operator.ge()

  • operator.gt()

  • operator.iadd()

  • operator.ifloordiv()

  • operator.imod()

  • operator.imul()

  • operator.ipow()

  • operator.isub()

  • operator.itruediv()

  • operator.le()

  • operator.lshift()

  • operator.lt()

  • operator.mod()

  • operator.mul()

  • operator.ne()

  • operator.neg()

  • operator.not_()

  • operator.or_()

  • operator.pos()

  • operator.pow()

  • operator.sub()

  • operator.truediv()

Unsupported Constructs#

The following Python constructs are not supported:

  • Exception handling (try .. except, try .. finally)

  • Context management (the with statement)

  • Comprehensions (either list, dict, set or generator comprehensions)

  • Generator (any yield statements)

  • The raise statement

  • The assert statement

NumPy support#

NumPy functions are whole array operations and are not supported within a numba_dpex.kernel.