keras/src/layers/convolutional/base_conv.py/BaseConv/load_own_variables
class BaseConv:    def load_own_variables(self, store):
        if not self.lora_enabled:
            self._check_load_own_variables(store)
        # Do nothing if the layer isn't yet built
        if not self.built:
            return
        target_variables = [self._kernel]
        if self.use_bias:
            target_variables.append(self.bias)
        for i, variable in enumerate(target_variables):
            variable.assign(store[str(i)])
        if self.lora_enabled:
            self.lora_kernel_a.assign(ops.zeros(self.lora_kernel_a.shape))
            self.lora_kernel_b.assign(ops.zeros(self.lora_kernel_b.shape))