zhaoyang-star commented on code in PR #12624:
URL: https://github.com/apache/tvm/pull/12624#discussion_r957139971
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python/tvm/relay/frontend/qnn_torch.py:
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@@ -571,9 +602,12 @@ def quantized_relu(data, input_zero_point):
return _op.tensor.maximum(data, zp)
-def quantized_sigmoid(data, input_scale, input_zero_point):
- output_scale = input_scale
- output_zero_point = input_zero_point
+def quantized_sigmoid(inputs):
+ data = inputs[0]
+ output_scale = _expr.const(inputs[1])
+ output_zero_point = _expr.const(inputs[2])
+ input_scale = _expr.const(inputs[3])
+ input_zero_point = _expr.const(inputs[4])
Review Comment:
Yes. One example printing the `inputs[1-4]` is `0.00390625, 0,
0.09818686544895172, 96
`, in which `0.00390625, 0` are the output scale/zp.
The index of output quantized params is set on Line 275: `"aten::sigmoid":
(1, 2),`
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