03a7eb89e27b70f2ca0ac932ef4bace7569d6fab,keras/layers/normalization.py,BatchNormalization,build,#BatchNormalization#Any#,85

Before Change

        super(BatchNormalization, self).__init__(**kwargs)

    def build(self, input_shape):
        self.input_spec = [InputSpec(shape=input_shape)]
        shape = (input_shape[self.axis],)

        self.gamma = self.add_weight(shape,
                                     initializer=self.gamma_init,

After Change

                             "input tensor should have a defined dimension "
                             "but the layer received an input with shape " +
                             str(input_shape) + ".")
        self.input_spec = InputSpec(ndim=len(input_shape),
                                    axes={self.axis: dim})
        shape = (dim,)

        if self.center:
            self.beta = self.add_weight(shape,

Instances