def _axpbz(self, selffac, other, out, stream=None):
"""Compute ``out = selffac * self + other``, where `other` is a scalar."""
func = elementwise.get_axpbz_kernel(self.dtype)
func.set_block_shape(*self._block)
func.prepared_async_call(self._grid, stream, selffac, self.gpudata,
other, out.gpudata, self.mem_size)
return out
def _axpbz(self, selffac, other, out, stream=None):
"""Compute ``out = selffac * self + other``, where `other` is a scalar."""
func = elementwise.get_axpbz_kernel(self.dtype)
func.set_block_shape(*self._block)
func.prepared_async_call(self._grid, stream,
selffac, self.gpudata,
other, out.gpudata, self.mem_size)
return out
def _axpbz(self, selffac, other, out, stream=None):
"""Compute ``out = selffac * self + other``, where `other` is a scalar."""
if not self.flags.forc:
raise RuntimeError("only contiguous arrays may " "be used as arguments to this operation")
func = elementwise.get_axpbz_kernel(self.dtype)
func.prepared_async_call(
self._grid, self._block, stream, selffac, self.gpudata, other, out.gpudata, self.mem_size
)
return out
def _axpbz(self, selffac, other, out, stream=None):
"""Compute ``out = selffac * self + other``, where `other` is a scalar."""
if not self.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
func = elementwise.get_axpbz_kernel(self.dtype, out.dtype)
func.prepared_async_call(self._grid, self._block, stream,
selffac, self.gpudata,
other, out.gpudata, self.mem_size)
return out
