d663fda862df1c831e7f93f1e3feb2e189a1b9ef,keras/layers/convolutional_recurrent.py,ConvLSTM2D,build,#ConvLSTM2D#Any#,329

Before Change

                                        constraint=self.bias_constraint)
            if self.unit_forget_bias:
                self.bias += K.concatenate(K.zeros((self.filters,)),
                                           K.ones((self.filters,)),
                                           K.zeros((self.filters * 2,)))
        else:
            self.bias = None

        self.kernel_i = self.kernel[:, :, :, :self.units]
        self.recurrent_kernel_i = self.recurrent_kernel[:, :, :, :self.units]
        self.kernel_f = self.kernel[:, :, :, self.units: self.units * 2]
        self.recurrent_kernel_f = self.recurrent_kernel[:, :, :, self.units: self.units * 2]
        self.kernel_c = self.kernel[:, :, :, self.units * 2: self.units * 3]
        self.recurrent_kernel_c = self.recurrent_kernel[:, :, :, self.units * 2: self.units * 3]
        self.kernel_o = self.kernel[:, :, :, self.units * 3:]
        self.recurrent_kernel_o = self.recurrent_kernel[:, :, :, self.units * 3:]

        if self.use_bias:
            self.bias_i = self.bias[:self.units]
            self.bias_f = self.bias[self.units: self.units * 2]
            self.bias_c = self.bias[self.units * 2: self.units * 3]
            self.bias_o = self.bias[self.units * 3:]
        else:

After Change

                                        regularizer=self.bias_regularizer,
                                        constraint=self.bias_constraint)
            if self.unit_forget_bias:
                self.bias += K.concatenate([K.zeros((self.filters,)),
                                           K.ones((self.filters,)),
                                           K.zeros((self.filters * 2,))])
        else:
            self.bias = None

        self.kernel_i = self.kernel[:, :, :, :self.filters]
        self.recurrent_kernel_i = self.recurrent_kernel[:, :, :, :self.filters]
        self.kernel_f = self.kernel[:, :, :, self.filters: self.filters * 2]
        self.recurrent_kernel_f = self.recurrent_kernel[:, :, :, self.filters: self.filters * 2]
        self.kernel_c = self.kernel[:, :, :, self.filters * 2: self.filters * 3]
        self.recurrent_kernel_c = self.recurrent_kernel[:, :, :, self.filters * 2: self.filters * 3]
        self.kernel_o = self.kernel[:, :, :, self.filters * 3:]
        self.recurrent_kernel_o = self.recurrent_kernel[:, :, :, self.filters * 3:]

        if self.use_bias:
            self.bias_i = self.bias[:self.filters]
            self.bias_f = self.bias[self.filters: self.filters * 2]
            self.bias_c = self.bias[self.filters * 2: self.filters * 3]
            self.bias_o = self.bias[self.filters * 3:]
        else:

Instances