4d6cb5a6ea1fc8632a96591582b88d7088fafbf2,tensorlayer/layers/normalization.py,InstanceNorm,build,#InstanceNorm#Any#,420

Before Change

        //     dtype=LayersConfig.tf_dtype
        // )
        self.offset = self._get_weights(
            "offset", shape=[inputs_shape[-1]], init=tf.compat.v1.initializers.constant(0.0)
        )
        // self.add_weights([self.scale, self.offset])

After Change

        params_shape, self.axes = self._get_param_shape(inputs_shape)

        self.beta, self.gamma = None, None
        if self.beta_init:
            self.beta = self._get_weights("beta", shape=params_shape, init=self.beta_init)

        if self.gamma_init:
            self.gamma = self._get_weights("gamma", shape=params_shape, init=self.gamma_init)

    def forward(self, inputs):

Instances