def imag(self):
dtype = self.dtype
if issubclass(self.dtype.type, np.complexfloating):
from pytools import match_precision
real_dtype = match_precision(np.dtype(np.float64), dtype)
result = self._new_like_me(dtype=real_dtype)
func = elementwise.get_imag_kernel(dtype, real_dtype)
func.set_block_shape(*self._block)
func.prepared_async_call(self._grid, None, self.gpudata,
result.gpudata, self.mem_size)
return result
else:
return zeros_like(self)
def imag(self):
dtype = self.dtype
if issubclass(self.dtype.type, numpy.complexfloating):
from pytools import match_precision
real_dtype = match_precision(numpy.dtype(numpy.float64), dtype)
result = self._new_like_me(dtype=real_dtype)
func = elementwise.get_imag_kernel(dtype, real_dtype)
func.set_block_shape(*self._block)
func.prepared_async_call(self._grid, None,
self.gpudata, result.gpudata,
self.mem_size)
return result
else:
return zeros_like(self)
def imag(self):
dtype = self.dtype
if issubclass(self.dtype.type, np.complexfloating):
if not self.flags.forc:
raise RuntimeError("only contiguous arrays may " "be used as arguments to this operation")
from pytools import match_precision
real_dtype = match_precision(np.dtype(np.float64), dtype)
result = self._new_like_me(dtype=real_dtype)
func = elementwise.get_imag_kernel(dtype, real_dtype)
func.prepared_async_call(self._grid, self._block, None, self.gpudata, result.gpudata, self.mem_size)
return result
else:
return zeros_like(self)
def imag(self):
dtype = self.dtype
if issubclass(self.dtype.type, np.complexfloating):
if not self.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
from pytools import match_precision
real_dtype = match_precision(np.dtype(np.float64), dtype)
result = self._new_like_me(dtype=real_dtype)
func = elementwise.get_imag_kernel(dtype, real_dtype)
func.prepared_async_call(self._grid, self._block, None,
self.gpudata, result.gpudata,
self.mem_size)
return result
else:
return zeros_like(self)
