# -*- coding: utf-8 -*-
from weakref import WeakKeyDictionary
from pyfr.backends.base import (BaseKernelProvider,
BasePointwiseKernelProvider, Kernel,
MetaKernel)
from pyfr.backends.hip.compiler import SourceModule
from pyfr.backends.hip.generator import HIPKernelGenerator
from pyfr.util import memoize
def get_grid_for_block(block, nrow, ncol=1):
return (-(-nrow // block[0]), -(-ncol // block[1]), 1)
class HIPKernel(Kernel):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
if hasattr(self, 'bind') and hasattr(self, 'add_to_graph'):
self.gnodes = WeakKeyDictionary()
class HIPOrderedMetaKernel(MetaKernel):
def add_to_graph(self, graph, dnodes):
pass
class HIPUnorderedMetaKernel(MetaKernel):
def add_to_graph(self, graph, dnodes):
pass
class HIPKernelProvider(BaseKernelProvider):
@memoize
def _build_kernel(self, name, src, argtypes):
return SourceModule(self.backend, src).get_function(name, argtypes)
[docs]class HIPPointwiseKernelProvider(HIPKernelProvider,
BasePointwiseKernelProvider):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._block1d = (64, 1, 1)
self._block2d = (64, 4, 1)
# Pass these block sizes to the generator
class KernelGenerator(HIPKernelGenerator):
block1d = self._block1d
block2d = self._block2d
self.kernel_generator_cls = KernelGenerator
[docs] def _instantiate_kernel(self, dims, fun, arglst, argmv):
rtargs = []
block = self._block1d if len(dims) == 1 else self._block2d
grid = get_grid_for_block(block, dims[-1])
params = fun.make_params(grid, block)
# Process the arguments
for i, k in enumerate(arglst):
if isinstance(k, str):
rtargs.append((i, k))
else:
params.set_arg(i, k)
class PointwiseKernel(HIPKernel):
if rtargs:
def bind(self, **kwargs):
for i, k in rtargs:
params.set_arg(i, kwargs[k])
def add_to_graph(self, graph, deps):
pass
def run(self, stream):
fun.exec_async(stream, params)
return PointwiseKernel(*argmv)