Add vgg16 benchmark configuration #20
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chengduoZH
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Dec 25, 2017
fluid/vgg16.py
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| batch_size = 1 | ||
| for i in y_data.shape: | ||
| batch_size = batch_size * i | ||
| y_data = y_data.reshape([batch_size, 1]) |
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->y_data = y_data.reshape([-1, 1])
| exe.run(inference_program, | ||
| feed={"pixel": img_data, | ||
| "label": y_data}, | ||
| fetch_list=[avg_cost] + test_accuracy.metrics) |
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这里可以仿照一下fluid/mnist.py，fluid/resnet.py的方式
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因为用了dropout，此处必须用inference program
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Resolve #6605
Don't merge. The performance of ResNet and VGG16 based on fluid both seem weird in the test environment. Need to fix that first.