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a3b8c459d4
Summary: Main changes: 1. Move reader creation to Brew in order to be consistent and avoid a wild use of param_init_net 2. Use optimizers for training function, avoid manual optimizer construction 3. Add MLP mode (a default) 4. Fix a bunch of too verbose comments and add a bit of new explanations Closes https://github.com/caffe2/caffe2/pull/1760 Differential Revision: D6749059 Pulled By: salexspb fbshipit-source-id: 9dfbbb2d9772a74a0300c2e404a92e791f7cc593
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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## @package db_input
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# Module caffe2.python.helpers.db_input
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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def db_input(model, blobs_out, batch_size, db, db_type):
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dbreader_name = "dbreader_" + db
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dbreader = model.param_init_net.CreateDB(
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[],
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dbreader_name,
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db=db,
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db_type=db_type,
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)
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return model.net.TensorProtosDBInput(
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dbreader, blobs_out, batch_size=batch_size)
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