hysop.symbolic.array module¶
- class hysop.symbolic.array.HostSymbolicArray(memory_object, name, dim=None, **kwds)[source]¶
Bases:
SymbolicHostMemoryObject
,SymbolicArray
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.HostSymbolicBuffer(memory_object, name, **kwds)[source]¶
Bases:
SymbolicHostMemoryObject
,SymbolicBuffer
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.HostSymbolicNdBuffer(name, memory_object=None, dim=None, strides=None, dtype=None, ghosts=None, **kwds)[source]¶
Bases:
SymbolicHostMemoryObject
,SymbolicNdBuffer
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.IndexedBuffer(base, *args, **kw_args)[source]¶
Bases:
Indexed
Tag for indexed SymbolicBuffers.
- property ctype¶
- default_assumptions = {}¶
- property index¶
- property indexed_object¶
- class hysop.symbolic.array.OpenClSymbolicArray(memory_object, name, dim=None, **kwds)[source]¶
Bases:
SymbolicDeviceMemoryObject
,SymbolicArray
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.OpenClSymbolicBuffer(memory_object, name, **kwds)[source]¶
Bases:
SymbolicDeviceMemoryObject
,SymbolicBuffer
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.OpenClSymbolicNdBuffer(name, memory_object=None, dim=None, strides=None, dtype=None, ghosts=None, **kwds)[source]¶
Bases:
SymbolicDeviceMemoryObject
,SymbolicNdBuffer
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.SymbolicArray(memory_object, name, dim=None, **kwds)[source]¶
Bases:
SymbolicMemoryObject
An array is considered to be indexed by local indices in autogenerated vectorized code (in symbolic code generation framework).
Symbols are identified by name and assumptions:
>>> from sympy import Symbol >>> Symbol("x") == Symbol("x")
True >>> Symbol(“x”, real=True) == Symbol(“x”, real=False) False
- property array¶
- default_assumptions = {}¶
- property dim¶
- dummy_index¶
- class hysop.symbolic.array.SymbolicBuffer(memory_object, name, **kwds)[source]¶
Bases:
SymbolicMemoryObject
A buffer will not be indexed by local indices by default. The user has to index a SymbolicBuffer so that it can be used for code generation.
Symbols are identified by name and assumptions:
>>> from sympy import Symbol >>> Symbol("x") == Symbol("x")
True >>> Symbol(“x”, real=True) == Symbol(“x”, real=False) False
- property buffer¶
- default_assumptions = {}¶
- dummy_index¶
- class hysop.symbolic.array.SymbolicDeviceMemoryObject[source]¶
Bases:
object
- property base_data¶
- property offset¶
- class hysop.symbolic.array.SymbolicMemoryObject(memory_object, name, **kwds)[source]¶
Bases:
DummySymbolicScalar
Symbols are identified by name and assumptions:
>>> from sympy import Symbol >>> Symbol("x") == Symbol("x")
True >>> Symbol(“x”, real=True) == Symbol(“x”, real=False) False
- property ctype¶
- default_assumptions = {}¶
- property dim¶
- property dtype¶
- dummy_index¶
- property is_bound¶
- property memory_object¶
- property shape¶
- property size¶
- property strides¶
- class hysop.symbolic.array.SymbolicNdBuffer(name, memory_object=None, dim=None, strides=None, dtype=None, ghosts=None, **kwds)[source]¶
Bases:
SymbolicBuffer
Same as a SymbolicBuffer, but with ndindex access and ghost support.
Symbols are identified by name and assumptions:
>>> from sympy import Symbol >>> Symbol("x") == Symbol("x")
True >>> Symbol(“x”, real=True) == Symbol(“x”, real=False) False
- bind_memory_object(memory_object, strides=None, dtype=None, ghosts=None, force=False, **kwds)[source]¶
- default_assumptions = {}¶
- property dim¶
- dummy_index¶
- property symbolic_ghosts¶
- property symbolic_strides¶