The qiskit parameterization bug is already fixed!
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./mnist_data\MNIST\raw\train-images-idx3-ubyte.gz
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Extracting ./mnist_data\MNIST\raw\train-images-idx3-ubyte.gz to ./mnist_data\MNIST\raw

Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./mnist_data\MNIST\raw\train-labels-idx1-ubyte.gz
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Extracting ./mnist_data\MNIST\raw\train-labels-idx1-ubyte.gz to ./mnist_data\MNIST\raw

Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./mnist_data\MNIST\raw\t10k-images-idx3-ubyte.gz
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Extracting ./mnist_data\MNIST\raw\t10k-images-idx3-ubyte.gz to ./mnist_data\MNIST\raw

Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./mnist_data\MNIST\raw\t10k-labels-idx1-ubyte.gz
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Extracting ./mnist_data\MNIST\raw\t10k-labels-idx1-ubyte.gz to ./mnist_data\MNIST\raw

[2022-04-09 20:43:12.118] Only use the front 75 images as TEST set.
D:\anaconda\envs\HuaWei-Quantum\lib\site-packages\torch\utils\data\dataloader.py:490: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 6 (`cpuset` is not taken into account), which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
  cpuset_checked))
Epoch 1:
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
D:\anaconda\envs\HuaWei-Quantum\lib\site-packages\torch\autograd\__init__.py:175: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at  C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\Copy.cpp:239.)
  allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
0.005 0.6510894298553467
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
valid set accuracy: 0.7228215767634855
valid set loss: 0.6215720772743225
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!
The qiskit parameterization bug is already fixed!