Method create_param

caffe2/python/layers/layers.py:401–418

(
        self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None
    )

            init_net._net.op.extend([init_op])

    def create_param(
        self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None
    ):
        with scope.NameScope(self.name, reset=True):
            param = self.model.create_param(
                param_name=param_name,
                shape=shape,
                initializer=initializer,
                optimizer=optimizer,
                ps_param=ps_param,
                regularizer=regularizer,
            )

            # make sure we don't share parameters in the same layer
            assert all(param.parameter != p.parameter for p in self.params)

            self.params.append(param)
            return param.parameter

    def get_next_blob_reference(self, name):
        with scope.NameScope(self.name, reset=True):