8e23a3ec47a2ccbf6cdd222a80886c6b9f17264f,keras/initializers.py,RandomUniform,__call__,#RandomUniform#Any#Any#,110

Before Change


        self.seed = seed

    def __call__(self, shape, dtype=None):
        return K.random_uniform(shape, self.minval, self.maxval,
                                dtype=dtype, seed=self.seed)

    def get_config(self):
        return {
            "minval": self.minval,

After Change


        self.seed = seed

    def __call__(self, shape, dtype=None):
        x = K.random_uniform(shape, self.minval, self.maxval,
                             dtype=dtype, seed=self.seed)
        if self.seed is not None:
            self.seed += 1
        return x

    def get_config(self):
        return {
            "minval": self.minval,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: keras-team/keras
Commit Name: 8e23a3ec47a2ccbf6cdd222a80886c6b9f17264f
Time: 2019-03-21
Author: francois.chollet@gmail.com
File Name: keras/initializers.py
Class Name: RandomUniform
Method Name: __call__


Project Name: keras-team/keras
Commit Name: 8e23a3ec47a2ccbf6cdd222a80886c6b9f17264f
Time: 2019-03-21
Author: francois.chollet@gmail.com
File Name: keras/initializers.py
Class Name: VarianceScaling
Method Name: __call__


Project Name: geomstats/geomstats
Commit Name: d4ce8ff983d7b3dbd08b64ef6e4a5af3135802dd
Time: 2018-04-24
Author: johan.mathe@gmail.com
File Name: examples/gradient_descent_s2.py
Class Name:
Method Name: generate_well_behaved_matrix