tiny_dnn
1.0.0
A header only, dependency-free deep learning framework in C++11
tiny_dnn
core
params
deconv_params.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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namespace
tiny_dnn {
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namespace
core {
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struct
deconv_layer_worker_specific_storage
{
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const
tensor_t* prev_out_;
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const
tensor_t* curr_out_unpadded_;
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tensor_t curr_out_buf_;
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tensor_t curr_delta_padded;
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};
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struct
deconv_params
{
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connection_table
tbl;
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index3d<serial_size_t>
in;
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index3d<serial_size_t>
out;
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index3d<serial_size_t>
out_unpadded;
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index3d<serial_size_t>
weight;
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bool
has_bias;
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padding pad_type;
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serial_size_t w_stride;
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serial_size_t h_stride;
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};
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}
// namespace core
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}
// namespace tiny_dnn
tiny_dnn::core::connection_table
Definition:
conv_params.h:40
tiny_dnn::core::deconv_layer_worker_specific_storage
Definition:
deconv_params.h:32
tiny_dnn::core::deconv_params
Definition:
deconv_params.h:39
tiny_dnn::index3d< serial_size_t >
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