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ABOUT
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=======
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PaddlPaddle is an easy-to-use, efficient, flexible and scalable deep learning platform,
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which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.
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PaddlePaddle is now open source but far from complete, which is intended to be built upon, improved, scaled, and extended.
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We hope to build an active open source community both by providing feedback and by actively contributing to the source code.
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Credits
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--------
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We owe many thanks to `all contributors and developers <https://github.com/PaddlePaddle/Paddle/graphs/contributors>`_ of PaddlePaddle!
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Debian Package installation guide
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=================================
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PaddlePaddle supports :code:`deb` pacakge. The installation of this :code:`deb` package is tested in ubuntu 14.04, but it should be support other debian based linux, too.
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There are four versions of debian package, :code:`cpu`, :code:`gpu`, :code:`cpu-noavx`, :code:`gpu-noavx`. And :code:`noavx` version is used to support CPU which does not contain :code:`AVX` instructions. The download url of :code:`deb` package is \: https://github.com/baidu/Paddle/releases/
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After downloading PaddlePaddle deb packages, you can use :code:`gdebi` install.
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.. code-block:: bash
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gdebi paddle-*.deb
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If :code:`gdebi` is not installed, you can use :code:`sudo apt-get install gdebi` to install it.
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Or you can use following commands to install PaddlePaddle.
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.. code-block:: bash
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dpkg -i paddle-*.deb
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apt-get install -f
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And if you use GPU version deb package, you need to install CUDA toolkit and cuDNN, and set related environment variables(such as LD_LIBRARY_PATH) first. It is normal when `dpkg -i` get errors. `apt-get install -f` will continue install paddle, and install dependences.
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#if defined(__ARM_NEON__) || defined(__ARM_NEON)
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#include <arm_neon.h>
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namespace paddle {
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namespace neon {
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inline float32x4_t vld1q_f32_aligned(const float* p) {
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return vld1q_f32(
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(const float*)__builtin_assume_aligned(p, sizeof(float32x4_t)));
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}
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#ifndef __aarch64__
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inline float32_t vaddvq_f32(float32x4_t a) {
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float32x2_t v = vadd_f32(vget_high_f32(a), vget_low_f32(a));
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return vget_lane_f32(vpadd_f32(v, v), 0);
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}
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inline float32x4_t vmlaq_laneq_f32(float32x4_t a,
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float32x4_t b,
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float32x4_t v,
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const int lane) {
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return vmlaq_n_f32(a, b, vgetq_lane_f32(v, lane));
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}
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#endif
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} // namespace neon
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} // namespace paddle
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#endif
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