b1bfd16945a658d02847209e46a2ba8d72b456e1,autokeras/hypermodel/hyper_block.py,ImageBlock,build,#ImageBlock#Any#Any#,123

Before Change


        input_node = layer_utils.format_inputs(inputs, self.name, num=1)[0]
        output_node = input_node

        for i in range(hp.Choice("num_layers", [1, 2, 3], default=2)):
            output_node = tf.keras.layers.Conv2D(
                hp.Choice("units_{i}".format(i=i),
                          [16, 32, 64],
                          default=32),
                hp.Choice("kernel_size_{i}".format(i=i),
                          [3, 5, 7],
                          default=3))(output_node)
        return output_node


def shape_compatible(shape1, shape2):

After Change


                               ["resnet", "xception", "vanilla"],
                               default="resnet")

        if block_type == "resnet":
            output_node = ResNetBlock().build(hp, output_node)
        elif block_type == "xception":
            output_node = XceptionBlock().build(hp, output_node)
        elif block_type == "vanilla":
            output_node = ConvBlock().build(hp, output_node)
        return output_node


class ConvBlock(HyperBlock):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: keras-team/autokeras
Commit Name: b1bfd16945a658d02847209e46a2ba8d72b456e1
Time: 2019-07-01
Author: jhfjhfj1@gmail.com
File Name: autokeras/hypermodel/hyper_block.py
Class Name: ImageBlock
Method Name: build


Project Name: keras-team/keras
Commit Name: 36ac91f0576b2295df1f3f8b23c305d69698a0ff
Time: 2017-02-15
Author: francois.chollet@gmail.com
File Name: keras/models.py
Class Name: Sequential
Method Name: set_weights