## 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.
##
#
-
  version:
    name: 'default'
  
  precisions: &common_precisions
    names: int8, uint8, fp32
    valid_mixed_precisions: []
  
  ops: &common_ops
    int8: ['InnerProduct', 'Matmul']
    fp32: ['*'] # '*' means all op types
  
  capabilities: &common_capabilities
    int8: {
          'InnerProduct': {
             'weight': {
                        'dtype': ['int8', 'fp32'],
                        'scheme': ['sym'],
                        'algorithm': ['minmax'],
                        'granularity': ['per_channel']
                    },
             'activation': {
                        'dtype': ['int8', 'fp32'],
                        'scheme': ['asym'],
                        'algorithm': ['minmax'],
                        'granularity': ['per_tensor']
                        }
                    },
          'Matmul': {
             'weight': {
                        'dtype': ['int8', 'fp32'],
                        'scheme': ['sym'],
                        'algorithm': ['minmax'],
                        'granularity': ['per_tensor']
                    },
             'activation': {
                        'dtype': ['uint8', 'fp32'],
                        'scheme': ['asym'],
                        'algorithm': ['minmax'],
                        'granularity': ['per_tensor']
                        }
                    },
          'default': {
             'weight': {
                        'dtype': ['int8', 'fp32'],
                        'scheme': ['sym'],
                        'algorithm': ['minmax'],
                        'granularity': ['per_tensor']
                    },
             'activation': {
                        'dtype': ['uint8', 'fp32'],
                        'scheme': ['asym'],
                        'algorithm': ['minmax'],
                        'granularity': ['per_tensor']
                        }
                    },
          }

  patterns: &common_patterns
    fp32: [

        ]
    int8: [
        
        ]
    uint8: [
        
        ]
-
