mehrdadh commented on issue #9226:
URL: https://github.com/apache/tvm/issues/9226#issuecomment-940233309
and this one is from Image Classification model (one of the MLPerfTiny
models):
```
Check failed: (expr_equal(lhs, rhs)) is false: Failed to match the compute
with TensorIntrin tensor_intrin's declaration
provided= reduce(combiner=comm_reducer(result=[(x + y)], lhs=[x], rhs=[y],
identity_element=[0]), source=
[(int32(a[(i*2), k])*int32(b[j, k]))], init=[], axis=[iter_var(k,
range(min=0, ext=32))], where=(bool)1, value_index=0), intrin=
reduce(combiner=comm_reducer(result=[(x + y)], lhs=[x], rhs=[y],
identity_element=[0]), source=[(int32(a[i, k])*int32(b[j, k]))],
init=[], axis=[iter_var(k, range(min=0, ext=32))], where=(bool)1,
value_index=0), running this stage: stage(conv2d,
compute(conv2d, body=[reduce(combiner=comm_reducer(result=[(x + y)],
lhs=[x], rhs=[y], identity_element=[0]),
source=[(int32(padded_data[nn, ((yy*2) + ry), ((xx*2) + rx),
rc])*int32(placeholder[ry, rx, ff, rc]))], init=[], axis=[iter_var(ry,
range(min=0, ext=1)), iter_var(rx, range(min=0, ext=1)), iter_var(rc,
range(min=0, ext=32))], where=(bool)1,
value_index=0)], axis=[iter_var(nn, range(min=0, ext=1)), iter_var(yy,
range(min=0, ext=8)), iter_var(xx, range(min=0,
ext=8)), iter_var(ff, range(min=0, ext=64))], reduce_axis=[iter_var(ry,
range(min=0, ext=1)), iter_var(rx, range(min=0,
ext=1)), iter_var(rc, range(min=0, ext=32))], tag=conv2d_nhwc,
attrs={"workload": ["conv2d_direct_simd.arm_cpu",
["TENSOR", [1, 16, 16, 32], "int16"], ["TENSOR", [1, 1, 64, 32], "int16"],
[2, 2], [0, 0, 0, 0], [1, 1], "int32"]}))
```
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