[Bug]: bitwise_and / bitwise_or / bitwise_xor return incorrect values for int8/uint8 when broadcasting #34638
Description
OpenVINO Version
2026.0
Operating System
Windows System
Device used for inference
CPU
Framework
None
Model used
N/A
Issue description
BitwiseAnd, BitwiseOr, and BitwiseXor silently produce incorrect results for int8/uint8 operands when one operand is broadcast to match the other's shape. Same-shape operations always produce correct results. No exception or warning is raised. The op executes normally but returns wrong values.
Expected: element-wise result identical to NumPy's np.bitwise_and / np.bitwise_or / np.bitwise_xor.
The issue is with Python API (openvino.opset15).
Step-by-step reproduction
import numpy as np
import openvino.opset15 as ov_opset
from openvino.runtime import Model, compile_model
def run(x_np, m_np, label):
x = ov_opset.constant(x_np)
m = ov_opset.constant(m_np)
node = ov_opset.bitwise_and(x.output(0), m.output(0))
result = compile_model(Model([node.output(0)], []), "CPU")({})[0]
expected = np.bitwise_and(x_np, m_np)
ok = np.array_equal(result, expected)
print(f"{label}: {'OK' if ok else f'FAIL — {(result != expected).sum()}/{result.size} wrong'}")
x = np.arange(64, dtype=np.int8).reshape(1, 64)
run(x, np.full((1, 64), np.int8(0x0F)), "same-shape (1,64)") # OK
run(x, np.array(np.int8(0x0F)), "(1,64) vs scalar") # FAIL
run(x, np.array([[np.int8(0x0F)]]), "(1,64) vs (1,1)") # FAIL
x2 = np.arange(32 * 256, dtype=np.int8).reshape(32, 256)
run(x2, np.full((32, 256), np.int8(0x0F)), "same-shape (32,256)") # OK
run(x2, np.array(np.int8(0x0F)), "(32,256) vs scalar") # FAIL
Relevant log output
same-shape (1,64): OK
(1,64) vs scalar: FAIL — 48/64 wrong
(1,64) vs (1,1): FAIL — 48/64 wrong
same-shape (32,256): OK
(32,256) vs scalar: FAIL — 6144/8192 wrongIssue submission checklist
- I'm reporting an issue. It's not a question.
- I checked the problem with the documentation, FAQ, open issues, Stack Overflow, etc., and have not found a solution.
- There is reproducer code and related data files such as images, videos, models, etc.