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RawFeatureVector
is still broken
#666
Comments
I've encountered exactly the same issue while running Qiskit Autoencoder tutorial with Qiskit 0.43.2 (terra 0.24.1, aer 0.12.2 cpu and gpu, ml 0.6.1, scipy 1.11.1). The tutorial crashes in qnn training, within qnn.forward, in raw_feature_vector:167 with the error "AttributeError: 'float' object has no attribute 'parameters'." Any assistance fixing the bug would be welcome. |
A possible workaround (at least it works for me) is to downgrade to previous release |
Thanks @aicaffeinelife, what I've done was to install Terra (0.25.0} and machine-learning (0.7.0) from sources, and it fixed the problem. So this means the next release of Qiskit will no longer have this error. |
ML 0.7.0 has been released which now includes the fix so I will consider this closed. |
Environment
What is happening?
Current behavior:
RawFeatureVector
is used to map input images to quantum states. ASamplerQNN
is constructed and called like so:Running this code gives the error:
I understand that a fix was proposed for this in #654 but I somehow don't see that fix in my installed version.
How can we reproduce the issue?
RawFeatureVector
as input mapSamplerQNN
.forward()
with Numpy initialized parameters.What should happen?
An output should be produced as without raising
QiskitMachineLearningError
Any suggestions?
No response
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