def frexp(arg, stream=None):
"""Return a tuple `(significands, exponents)` such that
`arg == significand * 2**exponent`.
"""
sig = gpuarray.GPUArray(arg.shape, arg.dtype)
expt = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_frexp_kernel()
func.set_block_shape(*arg._block)
func.prepared_async_call(arg._grid, stream, arg.gpudata, sig.gpudata,
expt.gpudata, arg.mem_size)
return sig, expt
def frexp(arg, stream=None):
"""Return a tuple `(significands, exponents)` such that
`arg == significand * 2**exponent`.
"""
sig = gpuarray.GPUArray(arg.shape, arg.dtype)
expt = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_frexp_kernel()
func.set_block_shape(*arg._block)
func.prepared_async_call(arg._grid, stream,
arg.gpudata, sig.gpudata, expt.gpudata, arg.mem_size)
return sig, expt
def frexp(arg, stream=None):
"""Return a tuple `(significands, exponents)` such that
`arg == significand * 2**exponent`.
"""
if not arg.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
sig = gpuarray.GPUArray(arg.shape, arg.dtype)
expt = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_frexp_kernel()
func.prepared_async_call(arg._grid, arg._block, stream, arg.gpudata,
sig.gpudata, expt.gpudata, arg.mem_size)
return sig, expt
def frexp(arg, stream=None):
"""Return a tuple `(significands, exponents)` such that
`arg == significand * 2**exponent`.
"""
if not arg.flags.forc:
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")
sig = gpuarray.GPUArray(arg.shape, arg.dtype)
expt = gpuarray.GPUArray(arg.shape, arg.dtype)
func = elementwise.get_frexp_kernel()
func.prepared_async_call(arg._grid, arg._block, stream,
arg.gpudata, sig.gpudata, expt.gpudata, arg.mem_size)
return sig, expt
