def _rdiv_scalar(self, other, out, stream=None):
"""Divides an array by a scalar::
y = n / self
"""
if not self.flags.forc:
raise RuntimeError("only contiguous arrays may " "be used as arguments to this operation")
func = elementwise.get_rdivide_elwise_kernel(self.dtype)
func.prepared_async_call(self._grid, self._block, stream, self.gpudata, other, out.gpudata, self.mem_size)
return out
def _rdiv_scalar(self, other, out, stream=None):
"""Divides an array by a scalar::
y = n / self
"""
assert self.dtype == np.float32
func = elementwise.get_rdivide_elwise_kernel(self.dtype)
func.set_block_shape(*self._block)
func.prepared_async_call(self._grid, stream, self.gpudata, other,
out.gpudata, self.mem_size)
return out
def _rdiv_scalar(self, other, out, stream=None):
"""Divides an array by a scalar::
y = n / self
"""
if not self.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
func = elementwise.get_rdivide_elwise_kernel(self.dtype, out.dtype)
func.prepared_async_call(self._grid, self._block, stream, self.gpudata,
other, out.gpudata, self.mem_size)
return out
def _rdiv_scalar(self, other, out, stream=None):
"""Divides an array by a scalar::
y = n / self
"""
assert self.dtype == numpy.float32
func = elementwise.get_rdivide_elwise_kernel(self.dtype)
func.set_block_shape(*self._block)
func.prepared_async_call(self._grid, stream,
self.gpudata, other,
out.gpudata, self.mem_size)
return out
