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Add quantization and pruning config yaml files
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#
# 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: 1.0
model:
name: bert_prune
framework: pytorch
pruning:
approach:
weight_compression:
initial_sparsity: 0.0
target_sparsity: 0.1 # targeted sparsity of 10%
start_epoch: 0
end_epoch: 2
pruners:
- !Pruner
prune_type: basic_magnitude
tuning:
accuracy_criterion:
relative: 0.1 # only verifying workflow, accuracy loss percentage: 10%
exit_policy:
timeout: 0 # tuning timeout (seconds)
random_seed: 9527 # random seed