vec_not
Description
Performs bitwise NOT element-wise: 
Prototype
vec_not(mask, dst, src, repeat_times, dst_rep_stride, src_rep_stride)
Parameters
For details, see Parameters.
dst and src must have the same data type.
Returns
None
Applicability
Restrictions
For details, see Restrictions.
Example
This example applies to a small amount of data that can be moved at a time, helping you understand the API functions. For more complex samples with a large amount of data, see Example.
from tbe import tik
tik_instance = tik.Tik()
src_gm = tik_instance.Tensor("int16", (128,), name="src_gm", scope=tik.scope_gm)
dst_gm = tik_instance.Tensor("int16", (128,), name="dst_gm", scope=tik.scope_gm)
src_ub = tik_instance.Tensor("int16", (128,), name="src_ub", scope=tik.scope_ubuf)
dst_ub = tik_instance.Tensor("int16", (128,), name="dst_ub", scope=tik.scope_ubuf)
# Move the user input from the Global Memory to the Unified Buffer.
tik_instance.data_move(src_ub, src_gm, 0, 1, 8, 0, 0)
tik_instance.vec_not(128, dst_ub, src_ub, 1, 8, 8)
# Move the compute result from the Unified Buffer to the destination Global Memory.
tik_instance.data_move(dst_gm, dst_ub, 0, 1, 8, 0, 0)
tik_instance.BuildCCE(kernel_name="vec_not", inputs=[src_gm], outputs=[dst_gm])
Result example:
Input (src_gm): [ 9 -2 8 3 5 5 -3 -3 8 -6 2 7 -4 -6 -4 -3 -9 8 6 5 -8 -8 9 0 -4 -8 -7 5 -9 7 -5 -5 4 6 7 -1 9 1 5 2 -1 -4 8 -2 6 2 -3 8 -2 -9 0 -6 0 9 0 1 2 1 1 -4 9 -3 -6 9 5 -2 6 4 -5 -7 -7 -6 6 -3 0 3 8 0 5 9 2 -7 -8 0 6 9 9 -3 -3 -7 3 8 9 -7 8 3 2 3 -8 0 9 0 6 -9 8 -9 1 -2 -5 -3 -8 0 7 -9 -1 7 -1 0 -3 1 1 9 -1 6 -9 -2 9 0] Output (dst_gm): [-10 1 -9 -4 -6 -6 2 2 -9 5 -3 -8 3 5 3 2 8 -9 -7 -6 7 7 -10 -1 3 7 6 -6 8 -8 4 4 -5 -7 -8 0 -10 -2 -6 -3 0 3 -9 1 -7 -3 2 -9 1 8 -1 5 -1 -10 -1 -2 -3 -2 -2 3 -10 2 5 -10 -6 1 -7 -5 4 6 6 5 -7 2 -1 -4 -9 -1 -6 -10 -3 6 7 -1 -7 -10 -10 2 2 6 -4 -9 -10 6 -9 -4 -3 -4 7 -1 -10 -1 -7 8 -9 8 -2 1 4 2 7 -1 -8 8 0 -8 0 -1 2 -2 -2 -10 0 -7 8 1 -10 -1]
Parent topic: Single Source (Gather Mode)