[Bug] concat([x], axis=1) return random results #11895
Description
import tvm
from tvm import relay
import numpy as np
x1_shape = (2, 1)
x1 = relay.var("x1", shape=x1_shape, dtype='int64')
concatenate = relay.op.concatenate([x1], axis=1)
f = relay.Function([x1], concatenate)
x1_val = np.array([[6], [5]], dtype='int64')
op_res = relay.create_executor('graph', device=tvm.cpu(), target='llvm').evaluate(f)(x1_val)
print(op_res)
print(f'should be equal to {x1_val}')Expected behavior
op_res should be same as [[6], [5]].
Actual behavior
1st try:
2nd try:
3rd try:
Environment
ed638ef on Ubuntu 20.04.
cc: @masahi