tiny_dnn
1.0.0
A header only, dependency-free deep learning framework in C++11
tiny_dnn
core
session.h
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/*
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Copyright (c) 2016, Taiga Nomi, Edgar Riba
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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* Neither the name of the <organization> nor the
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names of its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
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EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#pragma once
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#include <string>
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#include <vector>
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#include "tiny_dnn/core/device.h"
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namespace
tiny_dnn {
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namespace
core {
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class
session
{
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public
:
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session
(
const
std::string name) : name_(name) {}
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std::string get_name()
const
{
return
name_; }
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size_t
get_num_devices()
const
{
return
devices_.size(); }
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// will call construct graph
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// should we here specify the devices to use?
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void
schedule_session(
/* network<sequential>& net */
);
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// will call forward or backward methods
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void
run_session(
/* data */
);
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private
:
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std::string name_;
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std::vector<std::shared_ptr<device>> devices_;
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};
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}
// namespace core
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}
// namespace tiny_dnn
tiny_dnn::core::session
Definition:
session.h:37
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