# Copyright 2020 Huawei Technologies Co., Ltd.All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Mapper module."""
from ...base import ONNXToMindSporeMapper


class DenseMapper(ONNXToMindSporeMapper):
    """Dense mapper."""

    @staticmethod
    def _operation_name_in_ms(*args, **kwargs):
        return "nn.Dense"

    @staticmethod
    def _convert_params(params, weights):
        has_bias = bool('bias' in weights)
        weight = weights['weight'].numpy().transpose()
        in_channels, out_channels = weight.shape
        return {
            'in_channels': in_channels,
            'out_channels': out_channels,
            'has_bias': has_bias
        }

    @staticmethod
    def _convert_trained_weights(weights):
        if weights:
            pass
        return dict()
