def modf(arg, stream=None):
"""Return a tuple `(fracpart, intpart)` of arrays containing the
integer and fractional parts of `arg`.
"""
intpart = gpuarray.GPUArray(arg.shape, arg.dtype)
fracpart = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_modf_kernel()
func.set_block_shape(*arg._block),
func.prepared_async_call(arg._grid, stream, arg.gpudata, intpart.gpudata,
fracpart.gpudata, arg.mem_size)
return fracpart, intpart
def modf(arg, stream=None):
"""Return a tuple `(fracpart, intpart)` of arrays containing the
integer and fractional parts of `arg`.
"""
intpart = gpuarray.GPUArray(arg.shape, arg.dtype)
fracpart = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_modf_kernel()
func.set_block_shape(*arg._block),
func.prepared_async_call(arg._grid, stream,
arg.gpudata, intpart.gpudata, fracpart.gpudata,
arg.mem_size)
return fracpart, intpart
def modf(arg, stream=None):
"""Return a tuple `(fracpart, intpart)` of arrays containing the
integer and fractional parts of `arg`.
"""
if not arg.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
intpart = gpuarray.GPUArray(arg.shape, arg.dtype)
fracpart = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_modf_kernel()
func.prepared_async_call(arg._grid, arg._block, stream, arg.gpudata,
intpart.gpudata, fracpart.gpudata, arg.mem_size)
return fracpart, intpart
def modf(arg, stream=None):
"""Return a tuple `(fracpart, intpart)` of arrays containing the
integer and fractional parts of `arg`.
"""
if not arg.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
intpart = gpuarray.GPUArray(arg.shape, arg.dtype)
fracpart = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_modf_kernel()
func.prepared_async_call(arg._grid, arg._block, stream,
arg.gpudata, intpart.gpudata, fracpart.gpudata,
arg.mem_size)
return fracpart, intpart