masahi commented on code in PR #13578:
URL: https://github.com/apache/tvm/pull/13578#discussion_r1043847053
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python/tvm/relay/frontend/onnx.py:
##########
@@ -1391,7 +1391,7 @@ def _impl_v1(cls, inputs, attr, params):
dtype = input0_state.checked_type.dtype
# Y = alpha * A * B + beta * C
alpha = float(attr.get("alpha", 1.0))
- beta = float(attr.get("beta", 1.0))
+ beta = float(attr.get("beta"))
Review Comment:
Constant folding doesn't work when beta is multiplying an output of qnn ops,
since we cannot fold over them. The model in
https://github.com/apache/tvm/issues/13545 has `multiply(1f, dequantize(bias)`
after `dense`, which was also causing some issues.
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