Closed
Description
Evaluate if Supported Python features in CUDA Python are currently supported for numba-dppy.
Constructs (in CUDA 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)
Constructs (in CUDA supported) In DPPY not supported, not error but not any effect
- The raise statement
- The assert statement
Built-in types
- int
- float
- complex
- bool
- None
- tuple
Built-in functions
- abs()
- bool
- complex
- enumerate()
- float
- int
- len()
- min()
- max()
- range (only ints/uints)
- round()
- zip()
Standard library modules
- cmath.acos()
- cmath.acosh()
- cmath.asin()
- cmath.asinh()
- cmath.atan()
- cmath.atanh()
- cmath.cos()
- cmath.cosh()
- cmath.exp()
- cmath.isfinite()
- cmath.isinf()
- cmath.isnan()
- cmath.log()
- cmath.log10()
- cmath.phase()
- cmath.polar()
- cmath.rect()
- cmath.sin()
- cmath.sinh()
- cmath.sqrt()
- cmath.tan()
- cmath.tanh()
Math
- math.acos()
- math.asin()
- math.atan()
- math.acosh()
- math.asinh()
- math.atanh()
- math.cos()
- math.sin()
- math.tan()
- math.hypot()
- math.cosh()
- math.sinh()
- math.tanh()
- math.atan2()
- math.erf()
- math.erfc()
- math.exp()
- math.expm1()
- math.fabs()
- math.gamma()
- math.lgamma()
- math.log()
- math.log10()
- math.log1p()
- math.sqrt()
- math.pow()
- math.ceil()
- math.floor()
- math.copysign()
- math.fmod()
- math.modf()
- math.isnan()
- math.isinf()
Operator
- operator.add() (+)
- operator.and_() (&)
- operator.eq() (==)
- operator.floordiv() (//)
- operator.ge() (>=)
- operator.gt() (>)
- operator.iadd() (+=)
- operator.iand() (&=)
- operator.ifloordiv() (//=)
- operator.ilshift() (<<=)
- operator.imod() (%=)
- operator.imul() (*=)
- operator.invert() (~=)
- operator.ior() (|=)
- operator.ipow() (**=)
- operator.irshift() (>>=)
- operator.isub() (-=)
- operator.itruediv() (/=)
- operator.ixor() (^=)
- operator.le() (<=)
- operator.lshift() (<<)
- operator.lt() (<)
- operator.mod() (%)
- operator.mul() (*)
- operator.ne() (!=)
- operator.neg() (- x)
- operator.not_() (not x)
- operator.or_() (or)
- operator.pos() (+ x)
- operator.pow() (**)
- operator.rshift() (>>)
- operator.sub() (-)
- operator.truediv() (/)
- operator.xor() (^)
Numpy support (Support in CUDA)
- accessing ndarray attributes .shape, .strides, .ndim, .size, etc..
- scalar ufuncs that have equivalents in the math module; i.e. np.sin(x[0]), where x is a 1D array.
- indexing and slicing works.
Numpy support (Not Support in CUDA)
- array creation APIs.
- array methods.
- functions that returns a new array.
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