(self, ary)
return self
Copy host array to device.

        Arguments:
            ary: host array, needs to be contiguous

        Returns:
            GPUTensor: self
Copy host array to device.
Copy host array to device .
def set(self, ary):
        """
        Copy host array to device.

        Arguments:
            ary: host array, needs to be contiguous

        Returns:
            GPUTensor: self
        """
        stream = self.backend.stream
        if ary.size != self.size:
            raise TypeError(
                'ary.size {} != self.size {}'.format(ary.size, self.size)
            )
        assert self.is_contiguous, "Array in set() must be contiguous"
        if ary.dtype is not self.dtype:
            ary = ary.astype(self.dtype)
        if ary.ndim < self._min_dims:
            ary = ary.reshape(ary.size, 1)

        strides = tuple(self.dtype.itemsize * s for s in self.strides)
        if (ary.strides != strides):
            raise TypeError(
                'ary.strides != self.strides * self.dtype.itemsize : {} != {} * {}'.format(
                    ary.strides, self.strides, self.dtype.itemsize
                )
            )

        drv.memcpy_htod_async(int(self.gpudata), ary, stream)

        return self
def set ( self , ary ) : stream = self . backend . stream if ary . size != self . size : raise TypeError ( 'ary.size {} != self.size {}' . format ( ary . size , self . size ) ) assert self . is_contiguous , "Array in set() must be contiguous" if ary . dtype is not self . dtype : ary = ary . astype ( self . dtype ) if ary . ndim < self . _min_dims : ary = ary . reshape ( ary . size , 1 ) strides = tuple ( self . dtype . itemsize * s for s in self . strides ) if ( ary . strides != strides ) : raise TypeError ( 'ary.strides != self.strides * self.dtype.itemsize : {} != {} * {}' . format ( ary . strides , self . strides , self . dtype . itemsize ) ) drv . memcpy_htod_async ( int ( self . gpudata ) , ary , stream ) return self