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develop/doc/_sources/api/index_en.rst.txt
浏览文件 @ c387fba0
...@@ -7,4 +7,20 @@ Model Config API ...@@ -7,4 +7,20 @@ Model Config API
.. toctree:: .. toctree::
:maxdepth: 1 :maxdepth: 1
v2/model_configs.rst v2/model_configs.rst
\ No newline at end of file
Data API
--------
.. toctree::
:maxdepth: 1
v2/data.rst
Train API
---------
.. toctree::
:maxdepth: 1
v2/run_logic.rst
\ No newline at end of file
develop/doc/_sources/api/v2/data.rst.txt 0 → 100644
浏览文件 @ c387fba0
================
Data Related API
================
#########
DataTypes
#########
.. automodule:: paddle.v2.data_type
:members:
##########
DataFeeder
##########
.. automodule:: paddle.v2.data_feeder
:members:
######
Reader
######
.. automodule:: paddle.v2.reader
:members:
.. automodule:: paddle.v2.reader.creator
:members:
#########
minibatch
#########
.. automodule:: paddle.v2.minibatch
:members:
#######
Dataset
#######
.. automodule:: paddle.v2.dataset
:members:
mnist
+++++
.. automodule:: paddle.v2.dataset.mnist
:members:
cifar
+++++
.. automodule:: paddle.v2.dataset.cifar
:members:
conll05
+++++++
.. automodule:: paddle.v2.dataset.conll05
:members:
imdb
++++
.. automodule:: paddle.v2.dataset.imdb
:members:
imikolov
++++++++
.. automodule:: paddle.v2.dataset.imikolov
:members:
movielens
+++++++++
.. automodule:: paddle.v2.dataset.movielens
:members:
sentiment
+++++++++
.. automodule:: paddle.v2.dataset.sentiment
:members:
uci_housing
+++++++++++
.. automodule:: paddle.v2.dataset.uci_housing
:members:
develop/doc/_sources/api/v2/model_configs.rst.txt
浏览文件 @ c387fba0
#########################
Configuration Related API
#########################
====== ======
Layers Layers
====== ======
...@@ -33,3 +37,10 @@ Networks ...@@ -33,3 +37,10 @@ Networks
.. automodule:: paddle.v2.networks .. automodule:: paddle.v2.networks
:members: :members:
==========
Optimizers
==========
.. automodule:: paddle.v2.optimizer
:members:
develop/doc/_sources/api/v2/run_logic.rst.txt 0 → 100644
浏览文件 @ c387fba0
###########
Trainer API
###########
==========
Parameters
==========
.. automodule:: paddle.v2.parameters
:members:
=======
Trainer
=======
.. automodule:: paddle.v2.trainer
:members:
=====
Event
=====
.. automodule:: paddle.v2.event
:members:
develop/doc/_sources/design/reader/README.md.txt
浏览文件 @ c387fba0
...@@ -23,19 +23,19 @@ An example implementation for single item data reader creator: ...@@ -23,19 +23,19 @@ An example implementation for single item data reader creator:
```python ```python
def reader_creator_random_image(width, height): def reader_creator_random_image(width, height):
def reader(): def reader():
while True: while True:
yield numpy.random.uniform(-1, 1, size=width*height) yield numpy.random.uniform(-1, 1, size=width*height)
return reader return reader
``` ```
An example implementation for multiple item data reader creator: An example implementation for multiple item data reader creator:
```python ```python
def reader_creator_random_imageand_label(widht, height, label): def reader_creator_random_image_and_label(width, height, label):
def reader(): def reader():
while True: while True:
yield numpy.random.uniform(-1, 1, size=width*height), label yield numpy.random.uniform(-1, 1, size=width*height), label
return reader return reader
``` ```
## Batch Reader Interface ## Batch Reader Interface
...@@ -74,11 +74,11 @@ mnist_train_batch_reader = paddle.batch(mnist_train, 128) ...@@ -74,11 +74,11 @@ mnist_train_batch_reader = paddle.batch(mnist_train, 128)
Also easy to create custom batch reader: Also easy to create custom batch reader:
```python ```python
def custom_batch_reader(): def custom_batch_reader():
while True: while True:
batch = [] batch = []
for i in xrange(128): for i in xrange(128):
batch.append((numpy.random.uniform(-1, 1, 28*28),)) # note that it's a tuple being appended. batch.append((numpy.random.uniform(-1, 1, 28*28),)) # note that it's a tuple being appended.
yield batch yield batch
mnist_random_image_batch_reader = custom_batch_reader mnist_random_image_batch_reader = custom_batch_reader
``` ```
...@@ -123,16 +123,16 @@ We can do: ...@@ -123,16 +123,16 @@ We can do:
```python ```python
def reader_creator_random_image(width, height): def reader_creator_random_image(width, height):
def reader(): def reader():
while True: while True:
yield numpy.random.uniform(-1, 1, size=width*height) yield numpy.random.uniform(-1, 1, size=width*height)
return reader return reader
def reader_creator_bool(t): def reader_creator_bool(t):
def reader: def reader:
while True: while True:
yield t yield t
return reader return reader
true_reader = reader_creator_bool(True) true_reader = reader_creator_bool(True)
false_reader = reader_creator_bool(False) false_reader = reader_creator_bool(False)
...@@ -172,18 +172,18 @@ We decided to use dictionary (`{"image":0, "label":1}`) instead of list (`["imag ...@@ -172,18 +172,18 @@ We decided to use dictionary (`{"image":0, "label":1}`) instead of list (`["imag
```python ```python
def image_reader_creator(image_path, label_path, n): def image_reader_creator(image_path, label_path, n):
def reader(): def reader():
f = open(image_path) f = open(image_path)
l = open(label_path) l = open(label_path)
images = numpy.fromfile( images = numpy.fromfile(
f, 'ubyte', count=n * 28 * 28).reshape((n, 28 * 28)).astype('float32') f, 'ubyte', count=n * 28 * 28).reshape((n, 28 * 28)).astype('float32')
images = images / 255.0 * 2.0 - 1.0 images = images / 255.0 * 2.0 - 1.0
labels = numpy.fromfile(l, 'ubyte', count=n).astype("int") labels = numpy.fromfile(l, 'ubyte', count=n).astype("int")
for i in xrange(n): for i in xrange(n):
yield images[i, :], labels[i] # a single entry of data is created each time yield images[i, :], labels[i] # a single entry of data is created each time
f.close() f.close()
l.close() l.close()
return reader return reader
# images_reader_creator creates a reader # images_reader_creator creates a reader
reader = image_reader_creator("/path/to/image_file", "/path/to/label_file", 1024) reader = image_reader_creator("/path/to/image_file", "/path/to/label_file", 1024)
...@@ -196,7 +196,7 @@ An example implementation of paddle.train could be: ...@@ -196,7 +196,7 @@ An example implementation of paddle.train could be:
```python ```python
def train(batch_reader, mapping, batch_size, total_pass): def train(batch_reader, mapping, batch_size, total_pass):
for pass_idx in range(total_pass): for pass_idx in range(total_pass):
for mini_batch in batch_reader(): # this loop will never end in online learning. for mini_batch in batch_reader(): # this loop will never end in online learning.
do_forward_backward(mini_batch, mapping) do_forward_backward(mini_batch, mapping)
``` ```
develop/doc/about/index_en.html
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...@@ -33,7 +33,7 @@ ...@@ -33,7 +33,7 @@
href="../genindex.html"/> href="../genindex.html"/>
<link rel="search" title="Search" href="../search.html"/> <link rel="search" title="Search" href="../search.html"/>
<link rel="top" title="PaddlePaddle documentation" href="../index.html"/> <link rel="top" title="PaddlePaddle documentation" href="../index.html"/>
<link rel="prev" title="Layers" href="../api/v2/model_configs.html"/> <link rel="prev" title="Trainer API" href="../api/v2/run_logic.html"/>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" type="text/css" /> <link rel="stylesheet" href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" type="text/css" />
<link rel="stylesheet" href="../_static/css/override.css" type="text/css" /> <link rel="stylesheet" href="../_static/css/override.css" type="text/css" />
...@@ -153,11 +153,9 @@ ...@@ -153,11 +153,9 @@
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<li class="toctree-l2"><a class="reference internal" href="../api/v2/model_configs.html#module-paddle.v2.pooling">Poolings</a></li>
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<li class="toctree-l1 current"><a class="current reference internal" href="#">ABOUT</a></li> <li class="toctree-l1 current"><a class="current reference internal" href="#">ABOUT</a></li>
...@@ -218,7 +216,7 @@ We hope to build an active open source community both by providing feedback and ...@@ -218,7 +216,7 @@ We hope to build an active open source community both by providing feedback and
<div class="rst-footer-buttons" role="navigation" aria-label="footer navigation"> <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
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</div> </div>
......
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...@@ -33,7 +33,7 @@ ...@@ -33,7 +33,7 @@
href="../genindex.html"/> href="../genindex.html"/>
<link rel="search" title="Search" href="../search.html"/> <link rel="search" title="Search" href="../search.html"/>
<link rel="top" title="PaddlePaddle documentation" href="../index.html"/> <link rel="top" title="PaddlePaddle documentation" href="../index.html"/>
<link rel="next" title="Layers" href="v2/model_configs.html"/> <link rel="next" title="Configuration Related API" href="v2/model_configs.html"/>
<link rel="prev" title="Tune GPU Performance" href="../howto/optimization/gpu_profiling_en.html"/> <link rel="prev" title="Tune GPU Performance" href="../howto/optimization/gpu_profiling_en.html"/>
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...@@ -154,11 +154,9 @@ ...@@ -154,11 +154,9 @@
</ul> </ul>
</li> </li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">API</a><ul> <li class="toctree-l1 current"><a class="current reference internal" href="#">API</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="v2/model_configs.html#module-paddle.v2.pooling">Poolings</a></li>
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</ul> </ul>
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<li class="toctree-l1"><a class="reference internal" href="../about/index_en.html">ABOUT</a></li> <li class="toctree-l1"><a class="reference internal" href="../about/index_en.html">ABOUT</a></li>
...@@ -170,6 +168,8 @@ ...@@ -170,6 +168,8 @@
<nav class="local-toc"><ul> <nav class="local-toc"><ul>
<li><a class="reference internal" href="#">API</a><ul> <li><a class="reference internal" href="#">API</a><ul>
<li><a class="reference internal" href="#model-config-api">Model Config API</a></li> <li><a class="reference internal" href="#model-config-api">Model Config API</a></li>
<li><a class="reference internal" href="#data-api">Data API</a></li>
<li><a class="reference internal" href="#train-api">Train API</a></li>
</ul> </ul>
</li> </li>
</ul> </ul>
...@@ -205,11 +205,23 @@ ...@@ -205,11 +205,23 @@
<h2>Model Config API<a class="headerlink" href="#model-config-api" title="Permalink to this headline"></a></h2> <h2>Model Config API<a class="headerlink" href="#model-config-api" title="Permalink to this headline"></a></h2>
<div class="toctree-wrapper compound"> <div class="toctree-wrapper compound">
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<li class="toctree-l1"><a class="reference internal" href="v2/model_configs.html#module-paddle.v2.activation">Activations</a></li> </div>
<li class="toctree-l1"><a class="reference internal" href="v2/model_configs.html#module-paddle.v2.pooling">Poolings</a></li> </div>
<li class="toctree-l1"><a class="reference internal" href="v2/model_configs.html#module-paddle.v2.networks">Networks</a></li> <div class="section" id="data-api">
<h2>Data API<a class="headerlink" href="#data-api" title="Permalink to this headline"></a></h2>
<div class="toctree-wrapper compound">
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<li class="toctree-l1"><a class="reference internal" href="v2/data.html">Data Related API</a></li>
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<div class="section" id="train-api">
<h2>Train API<a class="headerlink" href="#train-api" title="Permalink to this headline"></a></h2>
<div class="toctree-wrapper compound">
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<li class="toctree-l1"><a class="reference internal" href="v2/run_logic.html">Trainer API</a></li>
</ul> </ul>
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...@@ -222,7 +234,7 @@ ...@@ -222,7 +234,7 @@
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
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...@@ -34,7 +34,7 @@ ...@@ -34,7 +34,7 @@
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...@@ -203,8 +205,10 @@ ...@@ -203,8 +205,10 @@
<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article"> <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
<div itemprop="articleBody"> <div itemprop="articleBody">
<div class="section" id="module-paddle.v2.layer"> <div class="section" id="configuration-related-api">
<span id="layers"></span><h1>Layers<a class="headerlink" href="#module-paddle.v2.layer" title="Permalink to this headline"></a></h1> <h1>Configuration Related API<a class="headerlink" href="#configuration-related-api" title="Permalink to this headline"></a></h1>
<div class="section" id="module-paddle.v2.layer">
<span id="layers"></span><h2>Layers<a class="headerlink" href="#module-paddle.v2.layer" title="Permalink to this headline"></a></h2>
<p><cite>paddle.v2.layer</cite> is a part of model config packages in paddle.v2. In API v2, <p><cite>paddle.v2.layer</cite> is a part of model config packages in paddle.v2. In API v2,
we want to make Paddle a plain Python package. The model config package defined we want to make Paddle a plain Python package. The model config package defined
the way how to configure a neural network topology in Paddle Python code.</p> the way how to configure a neural network topology in Paddle Python code.</p>
...@@ -3104,7 +3108,7 @@ scale is a config scalar, its default value is one.</p> ...@@ -3104,7 +3108,7 @@ scale is a config scalar, its default value is one.</p>
</div> </div>
<div class="section" id="module-paddle.v2.attr"> <div class="section" id="module-paddle.v2.attr">
<span id="attributes"></span><h1>Attributes<a class="headerlink" href="#module-paddle.v2.attr" title="Permalink to this headline"></a></h1> <span id="attributes"></span><h2>Attributes<a class="headerlink" href="#module-paddle.v2.attr" title="Permalink to this headline"></a></h2>
<dl class="attribute"> <dl class="attribute">
<dt id="paddle.v2.attr.Param"> <dt id="paddle.v2.attr.Param">
<code class="descclassname">paddle.v2.attr.</code><code class="descname">Param</code><a class="headerlink" href="#paddle.v2.attr.Param" title="Permalink to this definition"></a></dt> <code class="descclassname">paddle.v2.attr.</code><code class="descname">Param</code><a class="headerlink" href="#paddle.v2.attr.Param" title="Permalink to this definition"></a></dt>
...@@ -3209,7 +3213,7 @@ The details allocation in parallel_nn please refer to <a class="reference extern ...@@ -3209,7 +3213,7 @@ The details allocation in parallel_nn please refer to <a class="reference extern
</div> </div>
<div class="section" id="module-paddle.v2.activation"> <div class="section" id="module-paddle.v2.activation">
<span id="activations"></span><h1>Activations<a class="headerlink" href="#module-paddle.v2.activation" title="Permalink to this headline"></a></h1> <span id="activations"></span><h2>Activations<a class="headerlink" href="#module-paddle.v2.activation" title="Permalink to this headline"></a></h2>
<dl class="class"> <dl class="class">
<dt id="paddle.v2.activation.Tanh"> <dt id="paddle.v2.activation.Tanh">
<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Tanh</code><a class="headerlink" href="#paddle.v2.activation.Tanh" title="Permalink to this definition"></a></dt> <em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Tanh</code><a class="headerlink" href="#paddle.v2.activation.Tanh" title="Permalink to this definition"></a></dt>
...@@ -3354,7 +3358,7 @@ supported by hppl.</li> ...@@ -3354,7 +3358,7 @@ supported by hppl.</li>
</div> </div>
<div class="section" id="module-paddle.v2.pooling"> <div class="section" id="module-paddle.v2.pooling">
<span id="poolings"></span><h1>Poolings<a class="headerlink" href="#module-paddle.v2.pooling" title="Permalink to this headline"></a></h1> <span id="poolings"></span><h2>Poolings<a class="headerlink" href="#module-paddle.v2.pooling" title="Permalink to this headline"></a></h2>
<dl class="class"> <dl class="class">
<dt id="paddle.v2.pooling.BasePool"> <dt id="paddle.v2.pooling.BasePool">
<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">BasePool</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.pooling.BasePool" title="Permalink to this definition"></a></dt> <em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">BasePool</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.pooling.BasePool" title="Permalink to this definition"></a></dt>
...@@ -3432,7 +3436,7 @@ pooling window.</p> ...@@ -3432,7 +3436,7 @@ pooling window.</p>
</div> </div>
<div class="section" id="module-paddle.v2.networks"> <div class="section" id="module-paddle.v2.networks">
<span id="networks"></span><h1>Networks<a class="headerlink" href="#module-paddle.v2.networks" title="Permalink to this headline"></a></h1> <span id="networks"></span><h2>Networks<a class="headerlink" href="#module-paddle.v2.networks" title="Permalink to this headline"></a></h2>
<dl class="class"> <dl class="class">
<dt id="paddle.v2.networks.sequence_conv_pool"> <dt id="paddle.v2.networks.sequence_conv_pool">
<em class="property">class </em><code class="descclassname">paddle.v2.networks.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.networks.sequence_conv_pool" title="Permalink to this definition"></a></dt> <em class="property">class </em><code class="descclassname">paddle.v2.networks.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.networks.sequence_conv_pool" title="Permalink to this definition"></a></dt>
...@@ -4134,6 +4138,10 @@ concatenated and returned.</li> ...@@ -4134,6 +4138,10 @@ concatenated and returned.</li>
</table> </table>
</dd></dl> </dd></dl>
</div>
<div class="section" id="module-paddle.v2.optimizer">
<span id="optimizers"></span><h2>Optimizers<a class="headerlink" href="#module-paddle.v2.optimizer" title="Permalink to this headline"></a></h2>
</div>
</div> </div>
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</pre></div> </pre></div>
</div> </div>
<p>An example implementation for multiple item data reader creator:</p> <p>An example implementation for multiple item data reader creator:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">reader_creator_random_imageand_label</span><span class="p">(</span><span class="n">widht</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span> <div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">reader_creator_random_image_and_label</span><span class="p">(</span><span class="n">width</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">reader</span><span class="p">():</span> <span class="k">def</span> <span class="nf">reader</span><span class="p">():</span>
<span class="k">while</span> <span class="bp">True</span><span class="p">:</span> <span class="k">while</span> <span class="bp">True</span><span class="p">:</span>
<span class="k">yield</span> <span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">width</span><span class="o">*</span><span class="n">height</span><span class="p">),</span> <span class="n">label</span> <span class="k">yield</span> <span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">width</span><span class="o">*</span><span class="n">height</span><span class="p">),</span> <span class="n">label</span>
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</ul> </ul>
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<li class="toctree-l2"><a class="reference internal" href="../../api/v2/model_configs.html#module-paddle.v2.attr">Attributes</a></li> <li class="toctree-l2"><a class="reference internal" href="../../api/v2/data.html">Data Related API</a></li>
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API API
=== ===
\ No newline at end of file
模型配置 API
------------
.. toctree::
:maxdepth: 1
v2/model_configs.rst
数据 API
--------
.. toctree::
:maxdepth: 1
v2/data.rst
训练 API
--------
.. toctree::
:maxdepth: 1
v2/run_logic.rst
\ No newline at end of file
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================
Data Related API
================
#########
DataTypes
#########
.. automodule:: paddle.v2.data_type
:members:
##########
DataFeeder
##########
.. automodule:: paddle.v2.data_feeder
:members:
######
Reader
######
.. automodule:: paddle.v2.reader
:members:
.. automodule:: paddle.v2.reader.creator
:members:
#########
minibatch
#########
.. automodule:: paddle.v2.minibatch
:members:
#######
Dataset
#######
.. automodule:: paddle.v2.dataset
:members:
mnist
+++++
.. automodule:: paddle.v2.dataset.mnist
:members:
cifar
+++++
.. automodule:: paddle.v2.dataset.cifar
:members:
conll05
+++++++
.. automodule:: paddle.v2.dataset.conll05
:members:
imdb
++++
.. automodule:: paddle.v2.dataset.imdb
:members:
imikolov
++++++++
.. automodule:: paddle.v2.dataset.imikolov
:members:
movielens
+++++++++
.. automodule:: paddle.v2.dataset.movielens
:members:
sentiment
+++++++++
.. automodule:: paddle.v2.dataset.sentiment
:members:
uci_housing
+++++++++++
.. automodule:: paddle.v2.dataset.uci_housing
:members:
develop/doc_cn/_sources/api/v2/model_configs.rst.txt
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#########################
Configuration Related API
#########################
====== ======
Layers Layers
====== ======
...@@ -33,3 +37,10 @@ Networks ...@@ -33,3 +37,10 @@ Networks
.. automodule:: paddle.v2.networks .. automodule:: paddle.v2.networks
:members: :members:
==========
Optimizers
==========
.. automodule:: paddle.v2.optimizer
:members:
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###########
Trainer API
###########
==========
Parameters
==========
.. automodule:: paddle.v2.parameters
:members:
=======
Trainer
=======
.. automodule:: paddle.v2.trainer
:members:
=====
Event
=====
.. automodule:: paddle.v2.event
:members:
develop/doc_cn/_sources/design/reader/README.md.txt
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...@@ -23,19 +23,19 @@ An example implementation for single item data reader creator: ...@@ -23,19 +23,19 @@ An example implementation for single item data reader creator:
```python ```python
def reader_creator_random_image(width, height): def reader_creator_random_image(width, height):
def reader(): def reader():
while True: while True:
yield numpy.random.uniform(-1, 1, size=width*height) yield numpy.random.uniform(-1, 1, size=width*height)
return reader return reader
``` ```
An example implementation for multiple item data reader creator: An example implementation for multiple item data reader creator:
```python ```python
def reader_creator_random_imageand_label(widht, height, label): def reader_creator_random_image_and_label(width, height, label):
def reader(): def reader():
while True: while True:
yield numpy.random.uniform(-1, 1, size=width*height), label yield numpy.random.uniform(-1, 1, size=width*height), label
return reader return reader
``` ```
## Batch Reader Interface ## Batch Reader Interface
...@@ -74,11 +74,11 @@ mnist_train_batch_reader = paddle.batch(mnist_train, 128) ...@@ -74,11 +74,11 @@ mnist_train_batch_reader = paddle.batch(mnist_train, 128)
Also easy to create custom batch reader: Also easy to create custom batch reader:
```python ```python
def custom_batch_reader(): def custom_batch_reader():
while True: while True:
batch = [] batch = []
for i in xrange(128): for i in xrange(128):
batch.append((numpy.random.uniform(-1, 1, 28*28),)) # note that it's a tuple being appended. batch.append((numpy.random.uniform(-1, 1, 28*28),)) # note that it's a tuple being appended.
yield batch yield batch
mnist_random_image_batch_reader = custom_batch_reader mnist_random_image_batch_reader = custom_batch_reader
``` ```
...@@ -123,16 +123,16 @@ We can do: ...@@ -123,16 +123,16 @@ We can do:
```python ```python
def reader_creator_random_image(width, height): def reader_creator_random_image(width, height):
def reader(): def reader():
while True: while True:
yield numpy.random.uniform(-1, 1, size=width*height) yield numpy.random.uniform(-1, 1, size=width*height)
return reader return reader
def reader_creator_bool(t): def reader_creator_bool(t):
def reader: def reader:
while True: while True:
yield t yield t
return reader return reader
true_reader = reader_creator_bool(True) true_reader = reader_creator_bool(True)
false_reader = reader_creator_bool(False) false_reader = reader_creator_bool(False)
...@@ -172,18 +172,18 @@ We decided to use dictionary (`{"image":0, "label":1}`) instead of list (`["imag ...@@ -172,18 +172,18 @@ We decided to use dictionary (`{"image":0, "label":1}`) instead of list (`["imag
```python ```python
def image_reader_creator(image_path, label_path, n): def image_reader_creator(image_path, label_path, n):
def reader(): def reader():
f = open(image_path) f = open(image_path)
l = open(label_path) l = open(label_path)
images = numpy.fromfile( images = numpy.fromfile(
f, 'ubyte', count=n * 28 * 28).reshape((n, 28 * 28)).astype('float32') f, 'ubyte', count=n * 28 * 28).reshape((n, 28 * 28)).astype('float32')
images = images / 255.0 * 2.0 - 1.0 images = images / 255.0 * 2.0 - 1.0
labels = numpy.fromfile(l, 'ubyte', count=n).astype("int") labels = numpy.fromfile(l, 'ubyte', count=n).astype("int")
for i in xrange(n): for i in xrange(n):
yield images[i, :], labels[i] # a single entry of data is created each time yield images[i, :], labels[i] # a single entry of data is created each time
f.close() f.close()
l.close() l.close()
return reader return reader
# images_reader_creator creates a reader # images_reader_creator creates a reader
reader = image_reader_creator("/path/to/image_file", "/path/to/label_file", 1024) reader = image_reader_creator("/path/to/image_file", "/path/to/label_file", 1024)
...@@ -196,7 +196,7 @@ An example implementation of paddle.train could be: ...@@ -196,7 +196,7 @@ An example implementation of paddle.train could be:
```python ```python
def train(batch_reader, mapping, batch_size, total_pass): def train(batch_reader, mapping, batch_size, total_pass):
for pass_idx in range(total_pass): for pass_idx in range(total_pass):
for mini_batch in batch_reader(): # this loop will never end in online learning. for mini_batch in batch_reader(): # this loop will never end in online learning.
do_forward_backward(mini_batch, mapping) do_forward_backward(mini_batch, mapping)
``` ```
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...@@ -33,7 +33,7 @@ ...@@ -33,7 +33,7 @@
href="../genindex.html"/> href="../genindex.html"/>
<link rel="search" title="搜索" href="../search.html"/> <link rel="search" title="搜索" href="../search.html"/>
<link rel="top" title="PaddlePaddle 文档" href="../index.html"/> <link rel="top" title="PaddlePaddle 文档" href="../index.html"/>
<link rel="next" title="FAQ" href="../faq/index_cn.html"/> <link rel="next" title="Configuration Related API" href="v2/model_configs.html"/>
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</ul> </ul>
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<li class="toctree-l1 current"><a class="current reference internal" href="#">API</a></li> <li class="toctree-l1 current"><a class="current reference internal" href="#">API</a><ul>
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...@@ -168,7 +173,12 @@ ...@@ -168,7 +173,12 @@
</nav> </nav>
<nav class="local-toc"><ul> <nav class="local-toc"><ul>
<li><a class="reference internal" href="#">API</a></li> <li><a class="reference internal" href="#">API</a><ul>
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...@@ -198,6 +208,30 @@ ...@@ -198,6 +208,30 @@
<div class="section" id="api"> <div class="section" id="api">
<h1>API<a class="headerlink" href="#api" title="永久链接至标题"></a></h1> <h1>API<a class="headerlink" href="#api" title="永久链接至标题"></a></h1>
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...@@ -207,7 +241,7 @@ ...@@ -207,7 +241,7 @@
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Layers &mdash; PaddlePaddle 文档</title> <title>Configuration Related API &mdash; PaddlePaddle 文档</title>
...@@ -32,7 +32,10 @@ ...@@ -32,7 +32,10 @@
<link rel="index" title="索引" <link rel="index" title="索引"
href="../../genindex.html"/> href="../../genindex.html"/>
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...@@ -83,11 +86,11 @@ ...@@ -83,11 +86,11 @@
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...@@ -109,7 +112,7 @@ ...@@ -109,7 +112,7 @@
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...@@ -158,7 +161,12 @@ ...@@ -158,7 +161,12 @@
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...@@ -166,11 +174,15 @@ ...@@ -166,11 +174,15 @@
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<nav class="local-toc"><ul> <nav class="local-toc"><ul>
<li><a class="reference internal" href="#">Layers</a></li> <li><a class="reference internal" href="#">Configuration Related API</a><ul>
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...@@ -189,7 +201,9 @@ ...@@ -189,7 +201,9 @@
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...@@ -198,8 +212,10 @@ ...@@ -198,8 +212,10 @@
<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article"> <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
<div itemprop="articleBody"> <div itemprop="articleBody">
<div class="section" id="module-paddle.v2.layer"> <div class="section" id="configuration-related-api">
<span id="layers"></span><h1>Layers<a class="headerlink" href="#module-paddle.v2.layer" title="永久链接至标题"></a></h1> <h1>Configuration Related API<a class="headerlink" href="#configuration-related-api" title="永久链接至标题"></a></h1>
<div class="section" id="module-paddle.v2.layer">
<span id="layers"></span><h2>Layers<a class="headerlink" href="#module-paddle.v2.layer" title="永久链接至标题"></a></h2>
<p><cite>paddle.v2.layer</cite> is a part of model config packages in paddle.v2. In API v2, <p><cite>paddle.v2.layer</cite> is a part of model config packages in paddle.v2. In API v2,
we want to make Paddle a plain Python package. The model config package defined we want to make Paddle a plain Python package. The model config package defined
the way how to configure a neural network topology in Paddle Python code.</p> the way how to configure a neural network topology in Paddle Python code.</p>
...@@ -3099,7 +3115,7 @@ scale is a config scalar, its default value is one.</p> ...@@ -3099,7 +3115,7 @@ scale is a config scalar, its default value is one.</p>
</div> </div>
<div class="section" id="module-paddle.v2.attr"> <div class="section" id="module-paddle.v2.attr">
<span id="attributes"></span><h1>Attributes<a class="headerlink" href="#module-paddle.v2.attr" title="永久链接至标题"></a></h1> <span id="attributes"></span><h2>Attributes<a class="headerlink" href="#module-paddle.v2.attr" title="永久链接至标题"></a></h2>
<dl class="attribute"> <dl class="attribute">
<dt id="paddle.v2.attr.Param"> <dt id="paddle.v2.attr.Param">
<code class="descclassname">paddle.v2.attr.</code><code class="descname">Param</code><a class="headerlink" href="#paddle.v2.attr.Param" title="永久链接至目标"></a></dt> <code class="descclassname">paddle.v2.attr.</code><code class="descname">Param</code><a class="headerlink" href="#paddle.v2.attr.Param" title="永久链接至目标"></a></dt>
...@@ -3204,7 +3220,7 @@ The details allocation in parallel_nn please refer to <a class="reference extern ...@@ -3204,7 +3220,7 @@ The details allocation in parallel_nn please refer to <a class="reference extern
</div> </div>
<div class="section" id="module-paddle.v2.activation"> <div class="section" id="module-paddle.v2.activation">
<span id="activations"></span><h1>Activations<a class="headerlink" href="#module-paddle.v2.activation" title="永久链接至标题"></a></h1> <span id="activations"></span><h2>Activations<a class="headerlink" href="#module-paddle.v2.activation" title="永久链接至标题"></a></h2>
<dl class="class"> <dl class="class">
<dt id="paddle.v2.activation.Tanh"> <dt id="paddle.v2.activation.Tanh">
<em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Tanh</code><a class="headerlink" href="#paddle.v2.activation.Tanh" title="永久链接至目标"></a></dt> <em class="property">class </em><code class="descclassname">paddle.v2.activation.</code><code class="descname">Tanh</code><a class="headerlink" href="#paddle.v2.activation.Tanh" title="永久链接至目标"></a></dt>
...@@ -3349,7 +3365,7 @@ supported by hppl.</li> ...@@ -3349,7 +3365,7 @@ supported by hppl.</li>
</div> </div>
<div class="section" id="module-paddle.v2.pooling"> <div class="section" id="module-paddle.v2.pooling">
<span id="poolings"></span><h1>Poolings<a class="headerlink" href="#module-paddle.v2.pooling" title="永久链接至标题"></a></h1> <span id="poolings"></span><h2>Poolings<a class="headerlink" href="#module-paddle.v2.pooling" title="永久链接至标题"></a></h2>
<dl class="class"> <dl class="class">
<dt id="paddle.v2.pooling.BasePool"> <dt id="paddle.v2.pooling.BasePool">
<em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">BasePool</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.pooling.BasePool" title="永久链接至目标"></a></dt> <em class="property">class </em><code class="descclassname">paddle.v2.pooling.</code><code class="descname">BasePool</code><span class="sig-paren">(</span><em>name</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.pooling.BasePool" title="永久链接至目标"></a></dt>
...@@ -3427,7 +3443,7 @@ pooling window.</p> ...@@ -3427,7 +3443,7 @@ pooling window.</p>
</div> </div>
<div class="section" id="module-paddle.v2.networks"> <div class="section" id="module-paddle.v2.networks">
<span id="networks"></span><h1>Networks<a class="headerlink" href="#module-paddle.v2.networks" title="永久链接至标题"></a></h1> <span id="networks"></span><h2>Networks<a class="headerlink" href="#module-paddle.v2.networks" title="永久链接至标题"></a></h2>
<dl class="class"> <dl class="class">
<dt id="paddle.v2.networks.sequence_conv_pool"> <dt id="paddle.v2.networks.sequence_conv_pool">
<em class="property">class </em><code class="descclassname">paddle.v2.networks.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.networks.sequence_conv_pool" title="永久链接至目标"></a></dt> <em class="property">class </em><code class="descclassname">paddle.v2.networks.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>*args</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#paddle.v2.networks.sequence_conv_pool" title="永久链接至目标"></a></dt>
...@@ -4129,6 +4145,10 @@ concatenated and returned.</li> ...@@ -4129,6 +4145,10 @@ concatenated and returned.</li>
</table> </table>
</dd></dl> </dd></dl>
</div>
<div class="section" id="module-paddle.v2.optimizer">
<span id="optimizers"></span><h2>Optimizers<a class="headerlink" href="#module-paddle.v2.optimizer" title="永久链接至标题"></a></h2>
</div>
</div> </div>
...@@ -4136,6 +4156,15 @@ concatenated and returned.</li> ...@@ -4136,6 +4156,15 @@ concatenated and returned.</li>
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</pre></div> </pre></div>
</div> </div>
<p>An example implementation for multiple item data reader creator:</p> <p>An example implementation for multiple item data reader creator:</p>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">reader_creator_random_imageand_label</span><span class="p">(</span><span class="n">widht</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span> <div class="highlight-python"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">reader_creator_random_image_and_label</span><span class="p">(</span><span class="n">width</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">label</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">reader</span><span class="p">():</span> <span class="k">def</span> <span class="nf">reader</span><span class="p">():</span>
<span class="k">while</span> <span class="bp">True</span><span class="p">:</span> <span class="k">while</span> <span class="bp">True</span><span class="p">:</span>
<span class="k">yield</span> <span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">width</span><span class="o">*</span><span class="n">height</span><span class="p">),</span> <span class="n">label</span> <span class="k">yield</span> <span class="n">numpy</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">width</span><span class="o">*</span><span class="n">height</span><span class="p">),</span> <span class="n">label</span>
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