pystencils.codegen.config.CreateKernelConfig

class pystencils.codegen.config.CreateKernelConfig(target=None, jit=None, function_name=None, ghost_layers=None, iteration_slice=None, index_field=None, index_dtype=None, default_dtype=None, allow_double_writes=None, skip_independence_check=None, cpu=None, gpu=None, sycl=None, data_type=None, cpu_openmp=None, cpu_vectorize_info=None, gpu_indexing=None, gpu_indexing_params=None)

Options for create_kernel.

Methods

__init__([target, jit, function_name, ...])
copy()	Perform a semi-deep copy of this configuration object.
get_jit()	Returns either the user-specified JIT compiler, or infers one from the target if none is given.
get_option(name)	Get the value set for the specified option, or the option's default value if none has been set.
get_target()
is_option_set(name)
override(other)
validate_default_dtype(spec)
validate_index_field(idx_field)
validate_index_type(spec)

Attributes

allow_double_writes	If True, don't check if every field is only written at a single location.
cpu	Options for CPU kernels.
cpu_openmp	Deprecated; use cpu.openmp instead.
cpu_vectorize_info	Deprecated; use cpu.vectorize instead.
data_type	Deprecated; use default_dtype instead
default_dtype	Default numeric data type.
function_name	Name of the generated function
ghost_layers	Specifies the number of ghost layers of the iteration region.
gpu	Options for GPU Kernels.
gpu_indexing	Deprecated; use gpu.indexing_scheme instead.
gpu_indexing_params	Deprecated; set options in the gpu category instead.
index_dtype	Data type used for all index calculations.
index_field	Index field for a sparse kernel.
iteration_slice	Specifies the kernel's iteration slice.
jit	Just-in-time compiler used to compile and load the kernel for invocation from the current Python environment.
skip_independence_check	By default the assignment list is checked for read/write independence.
sycl	Options for SYCL kernels.
target	The code generation target.