#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 Intel Corporation
#
# 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.

"""The neural engine operator mapping file."""

from .op import Operator, operator_registry
from .tensor import Tensor


# The inputs must be two-dimensional matrices
@operator_registry(operator_type='QuantizedMatMulWithBiasAndDequantize')
class QuantizedMatMulWithBiasAndDequantize(Operator):
    """Parse the QuantizedMatMulWithBiasAndDequantize operator to the neural engine."""
    def __init__(self):
        """The init function of this operator."""
        super().__init__()

    def set_attr(self, framework, node):
        # for baremetal, if QuantizedMatMulWithBiasAndDequantize has post op
        # its output_dtype maybe the origin dtype in attributes, float32
        # but if it has not, use int8 (s8) for performance consideration
        """Extract the node attr from tensorflow."""
        if framework == 'tensorflow':
            self._attr['output_dtype'] = 's8'
            self._attr['transpose_a'] = node.attr['transpose_a'].b
            self._attr['transpose_b'] = node.attr['transpose_b'].b
