Skip to content

P
Paddle

PaddlePaddle / Paddle
大约 2 年 前同步成功

通知 2325
Star 20933
Fork 5424
P
Paddle
“f29920639690adfe687a8f52e4113d68c2ab216c”上不存在“python/paddle/v2/fluid/tests/unittests/test_tensor.py”
提交 5fe2b4cd 编写于 作者: T Travis CI
浏览文件
操作

Deploy to GitHub Pages: 7901f06a

上级 5123156e
隐藏空白更改
内联 并排
Showing with 74 addition and 74 deletion
develop/doc/api/v2/fluid/layers.html
浏览文件 @ 5fe2b4cd
...@@ -215,7 +215,7 @@ ...@@ -215,7 +215,7 @@
<h2>fc<a class="headerlink" href="#fc" title="Permalink to this headline"></a></h2> <h2>fc<a class="headerlink" href="#fc" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fc</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>num_flatten_dims=1</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fc</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>num_flatten_dims=1</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
<dd><p>Fully Connected Layer.</p> <dd><p>Fully Connected Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -253,7 +253,7 @@ to the LayerHelper constructor.</p> ...@@ -253,7 +253,7 @@ to the LayerHelper constructor.</p>
<h2>embedding<a class="headerlink" href="#embedding" title="Permalink to this headline"></a></h2> <h2>embedding<a class="headerlink" href="#embedding" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em><span class="sig-paren">)</span></dt>
<dd><p>Embedding Layer.</p> <dd><p>Embedding Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -285,7 +285,7 @@ to the LayerHelper constructor.</p> ...@@ -285,7 +285,7 @@ to the LayerHelper constructor.</p>
<h2>dynamic_lstm<a class="headerlink" href="#dynamic-lstm" title="Permalink to this headline"></a></h2> <h2>dynamic_lstm<a class="headerlink" href="#dynamic-lstm" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">dynamic_lstm</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>use_peepholes=True</em>, <em>is_reverse=False</em>, <em>gate_activation='sigmoid'</em>, <em>cell_activation='tanh'</em>, <em>candidate_activation='tanh'</em>, <em>dtype='float32'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">dynamic_lstm</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>use_peepholes=True</em>, <em>is_reverse=False</em>, <em>gate_activation='sigmoid'</em>, <em>cell_activation='tanh'</em>, <em>candidate_activation='tanh'</em>, <em>dtype='float32'</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -293,7 +293,7 @@ to the LayerHelper constructor.</p> ...@@ -293,7 +293,7 @@ to the LayerHelper constructor.</p>
<h2>data<a class="headerlink" href="#data" title="Permalink to this headline"></a></h2> <h2>data<a class="headerlink" href="#data" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">data</code><span class="sig-paren">(</span><em>name</em>, <em>shape</em>, <em>append_batch_size=True</em>, <em>dtype='float32'</em>, <em>lod_level=0</em>, <em>type=VarType.LOD_TENSOR</em>, <em>main_program=None</em>, <em>startup_program=None</em>, <em>stop_gradient=True</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">data</code><span class="sig-paren">(</span><em>name</em>, <em>shape</em>, <em>append_batch_size=True</em>, <em>dtype='float32'</em>, <em>lod_level=0</em>, <em>type=VarType.LOD_TENSOR</em>, <em>stop_gradient=True</em><span class="sig-paren">)</span></dt>
<dd><p>Data Layer.</p> <dd><p>Data Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -680,7 +680,7 @@ Duplicable: False Optional: False</li> ...@@ -680,7 +680,7 @@ Duplicable: False Optional: False</li>
<h2>cast<a class="headerlink" href="#cast" title="Permalink to this headline"></a></h2> <h2>cast<a class="headerlink" href="#cast" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">cast</code><span class="sig-paren">(</span><em>x</em>, <em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">cast</code><span class="sig-paren">(</span><em>x</em>, <em>dtype</em><span class="sig-paren">)</span></dt>
<dd><p>This function takes in the input with input_dtype <dd><p>This function takes in the input with input_dtype
and casts it to the output_dtype as the output.</p> and casts it to the output_dtype as the output.</p>
</dd></dl> </dd></dl>
...@@ -690,7 +690,7 @@ and casts it to the output_dtype as the output.</p> ...@@ -690,7 +690,7 @@ and casts it to the output_dtype as the output.</p>
<h2>concat<a class="headerlink" href="#concat" title="Permalink to this headline"></a></h2> <h2>concat<a class="headerlink" href="#concat" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">concat</code><span class="sig-paren">(</span><em>input</em>, <em>axis</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">concat</code><span class="sig-paren">(</span><em>input</em>, <em>axis</em><span class="sig-paren">)</span></dt>
<dd><p>This function concats the input along the axis mentioned <dd><p>This function concats the input along the axis mentioned
and returns that as the output.</p> and returns that as the output.</p>
</dd></dl> </dd></dl>
...@@ -700,7 +700,7 @@ and returns that as the output.</p> ...@@ -700,7 +700,7 @@ and returns that as the output.</p>
<h2>sums<a class="headerlink" href="#sums" title="Permalink to this headline"></a></h2> <h2>sums<a class="headerlink" href="#sums" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sums</code><span class="sig-paren">(</span><em>input</em>, <em>out=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sums</code><span class="sig-paren">(</span><em>input</em>, <em>out=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function takes in the input and performs the sum operation on it <dd><p>This function takes in the input and performs the sum operation on it
and returns that as the output.</p> and returns that as the output.</p>
</dd></dl> </dd></dl>
...@@ -710,7 +710,7 @@ and returns that as the output.</p> ...@@ -710,7 +710,7 @@ and returns that as the output.</p>
<h2>linear_chain_crf<a class="headerlink" href="#linear-chain-crf" title="Permalink to this headline"></a></h2> <h2>linear_chain_crf<a class="headerlink" href="#linear-chain-crf" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">linear_chain_crf</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>param_attr=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">linear_chain_crf</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>param_attr=None</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -718,7 +718,7 @@ and returns that as the output.</p> ...@@ -718,7 +718,7 @@ and returns that as the output.</p>
<h2>assign<a class="headerlink" href="#assign" title="Permalink to this headline"></a></h2> <h2>assign<a class="headerlink" href="#assign" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em><span class="sig-paren">)</span></dt>
<dd><p>Embedding Layer.</p> <dd><p>Embedding Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -750,7 +750,7 @@ to the LayerHelper constructor.</p> ...@@ -750,7 +750,7 @@ to the LayerHelper constructor.</p>
<h2>split_lod_tensor<a class="headerlink" href="#split-lod-tensor" title="Permalink to this headline"></a></h2> <h2>split_lod_tensor<a class="headerlink" href="#split-lod-tensor" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">split_lod_tensor</code><span class="sig-paren">(</span><em>input</em>, <em>mask</em>, <em>level=0</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">split_lod_tensor</code><span class="sig-paren">(</span><em>input</em>, <em>mask</em>, <em>level=0</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -758,7 +758,7 @@ to the LayerHelper constructor.</p> ...@@ -758,7 +758,7 @@ to the LayerHelper constructor.</p>
<h2>merge_lod_tensor<a class="headerlink" href="#merge-lod-tensor" title="Permalink to this headline"></a></h2> <h2>merge_lod_tensor<a class="headerlink" href="#merge-lod-tensor" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">merge_lod_tensor</code><span class="sig-paren">(</span><em>in_true</em>, <em>in_false</em>, <em>x</em>, <em>mask</em>, <em>level=0</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">merge_lod_tensor</code><span class="sig-paren">(</span><em>in_true</em>, <em>in_false</em>, <em>x</em>, <em>mask</em>, <em>level=0</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -805,7 +805,7 @@ The output is the top_k inputs and their indices.</p> ...@@ -805,7 +805,7 @@ The output is the top_k inputs and their indices.</p>
<h2>sequence_conv<a class="headerlink" href="#sequence-conv" title="Permalink to this headline"></a></h2> <h2>sequence_conv<a class="headerlink" href="#sequence-conv" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sequence_conv</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size=3</em>, <em>filter_stride=1</em>, <em>padding=None</em>, <em>bias_attr=None</em>, <em>param_attr=None</em>, <em>act=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sequence_conv</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size=3</em>, <em>filter_stride=1</em>, <em>padding=None</em>, <em>bias_attr=None</em>, <em>param_attr=None</em>, <em>act=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates the op for sequence_conv, using the inputs and <dd><p>This function creates the op for sequence_conv, using the inputs and
other convolutional configurations for the filters and stride as given other convolutional configurations for the filters and stride as given
in the input parameters to the function.</p> in the input parameters to the function.</p>
...@@ -816,7 +816,7 @@ in the input parameters to the function.</p> ...@@ -816,7 +816,7 @@ in the input parameters to the function.</p>
<h2>conv2d<a class="headerlink" href="#conv2d" title="Permalink to this headline"></a></h2> <h2>conv2d<a class="headerlink" href="#conv2d" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>stride=None</em>, <em>padding=None</em>, <em>groups=None</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>stride=None</em>, <em>padding=None</em>, <em>groups=None</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates the op for a 2-dimensional Convolution. <dd><p>This function creates the op for a 2-dimensional Convolution.
This is performed using the parameters of filters(size, dimensionality etc) This is performed using the parameters of filters(size, dimensionality etc)
, stride and other configurations for a Convolution operation. , stride and other configurations for a Convolution operation.
...@@ -840,7 +840,7 @@ in the parameters.</p> ...@@ -840,7 +840,7 @@ in the parameters.</p>
<h2>pool2d<a class="headerlink" href="#pool2d" title="Permalink to this headline"></a></h2> <h2>pool2d<a class="headerlink" href="#pool2d" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>pool_size</em>, <em>pool_type</em>, <em>pool_stride=None</em>, <em>pool_padding=None</em>, <em>global_pooling=False</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>pool_size</em>, <em>pool_type</em>, <em>pool_stride=None</em>, <em>pool_padding=None</em>, <em>global_pooling=False</em><span class="sig-paren">)</span></dt>
<dd><p>This function adds the operator for pooling in 2 dimensions, using the <dd><p>This function adds the operator for pooling in 2 dimensions, using the
pooling configurations mentioned in input parameters.</p> pooling configurations mentioned in input parameters.</p>
</dd></dl> </dd></dl>
...@@ -850,7 +850,7 @@ pooling configurations mentioned in input parameters.</p> ...@@ -850,7 +850,7 @@ pooling configurations mentioned in input parameters.</p>
<h2>batch_norm<a class="headerlink" href="#batch-norm" title="Permalink to this headline"></a></h2> <h2>batch_norm<a class="headerlink" href="#batch-norm" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em><span class="sig-paren">)</span></dt>
<dd><p>This function helps create an operator to implement <dd><p>This function helps create an operator to implement
the BatchNorm layer using the configurations from the input parameters.</p> the BatchNorm layer using the configurations from the input parameters.</p>
</dd></dl> </dd></dl>
...@@ -860,7 +860,7 @@ the BatchNorm layer using the configurations from the input parameters.</p> ...@@ -860,7 +860,7 @@ the BatchNorm layer using the configurations from the input parameters.</p>
<h2>beam_search_decode<a class="headerlink" href="#beam-search-decode" title="Permalink to this headline"></a></h2> <h2>beam_search_decode<a class="headerlink" href="#beam-search-decode" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">beam_search_decode</code><span class="sig-paren">(</span><em>ids</em>, <em>scores</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">beam_search_decode</code><span class="sig-paren">(</span><em>ids</em>, <em>scores</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -871,7 +871,7 @@ the BatchNorm layer using the configurations from the input parameters.</p> ...@@ -871,7 +871,7 @@ the BatchNorm layer using the configurations from the input parameters.</p>
<h2>lod_rank_table<a class="headerlink" href="#lod-rank-table" title="Permalink to this headline"></a></h2> <h2>lod_rank_table<a class="headerlink" href="#lod-rank-table" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_rank_table</code><span class="sig-paren">(</span><em>x</em>, <em>level=0</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_rank_table</code><span class="sig-paren">(</span><em>x</em>, <em>level=0</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator for creating a LOD_RANK_TABLE <dd><p>This function creates an operator for creating a LOD_RANK_TABLE
using the input x.</p> using the input x.</p>
</dd></dl> </dd></dl>
...@@ -881,7 +881,7 @@ using the input x.</p> ...@@ -881,7 +881,7 @@ using the input x.</p>
<h2>max_sequence_len<a class="headerlink" href="#max-sequence-len" title="Permalink to this headline"></a></h2> <h2>max_sequence_len<a class="headerlink" href="#max-sequence-len" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">max_sequence_len</code><span class="sig-paren">(</span><em>rank_table</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">max_sequence_len</code><span class="sig-paren">(</span><em>rank_table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to calculate the length of <dd><p>This function creates an operator to calculate the length of
max seqence through input rank_table(should be a lod_rank_table)</p> max seqence through input rank_table(should be a lod_rank_table)</p>
</dd></dl> </dd></dl>
...@@ -891,7 +891,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p> ...@@ -891,7 +891,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p>
<h2>topk<a class="headerlink" href="#topk" title="Permalink to this headline"></a></h2> <h2>topk<a class="headerlink" href="#topk" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">topk</code><span class="sig-paren">(</span><em>input</em>, <em>k</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">topk</code><span class="sig-paren">(</span><em>input</em>, <em>k</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -899,7 +899,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p> ...@@ -899,7 +899,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p>
<h2>lod_tensor_to_array<a class="headerlink" href="#lod-tensor-to-array" title="Permalink to this headline"></a></h2> <h2>lod_tensor_to_array<a class="headerlink" href="#lod-tensor-to-array" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_tensor_to_array</code><span class="sig-paren">(</span><em>x</em>, <em>table</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_tensor_to_array</code><span class="sig-paren">(</span><em>x</em>, <em>table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to convert an LOD_Tensor to <dd><p>This function creates an operator to convert an LOD_Tensor to
an array.</p> an array.</p>
</dd></dl> </dd></dl>
...@@ -909,7 +909,7 @@ an array.</p> ...@@ -909,7 +909,7 @@ an array.</p>
<h2>array_to_lod_tensor<a class="headerlink" href="#array-to-lod-tensor" title="Permalink to this headline"></a></h2> <h2>array_to_lod_tensor<a class="headerlink" href="#array-to-lod-tensor" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_to_lod_tensor</code><span class="sig-paren">(</span><em>x</em>, <em>table</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_to_lod_tensor</code><span class="sig-paren">(</span><em>x</em>, <em>table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to convert an array to a <dd><p>This function creates an operator to convert an array to a
LOD_Tensor.</p> LOD_Tensor.</p>
</dd></dl> </dd></dl>
...@@ -919,7 +919,7 @@ LOD_Tensor.</p> ...@@ -919,7 +919,7 @@ LOD_Tensor.</p>
<h2>fill_constant<a class="headerlink" href="#fill-constant" title="Permalink to this headline"></a></h2> <h2>fill_constant<a class="headerlink" href="#fill-constant" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>value</em>, <em>out=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>value</em>, <em>out=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates a tensor , with shape as mentioned in the input and <dd><p>This function creates a tensor , with shape as mentioned in the input and
specified dtype and fills this up with a constant value that specified dtype and fills this up with a constant value that
comes in the input. It also sets the stop_gradient to be True.</p> comes in the input. It also sets the stop_gradient to be True.</p>
...@@ -930,7 +930,7 @@ comes in the input. It also sets the stop_gradient to be True.</p> ...@@ -930,7 +930,7 @@ comes in the input. It also sets the stop_gradient to be True.</p>
<h2>fill_constant_batch_size_like<a class="headerlink" href="#fill-constant-batch-size-like" title="Permalink to this headline"></a></h2> <h2>fill_constant_batch_size_like<a class="headerlink" href="#fill-constant-batch-size-like" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant_batch_size_like</code><span class="sig-paren">(</span><em>input</em>, <em>shape</em>, <em>dtype</em>, <em>value</em>, <em>input_dim_idx=0</em>, <em>output_dim_idx=0</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant_batch_size_like</code><span class="sig-paren">(</span><em>input</em>, <em>shape</em>, <em>dtype</em>, <em>value</em>, <em>input_dim_idx=0</em>, <em>output_dim_idx=0</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -938,7 +938,7 @@ comes in the input. It also sets the stop_gradient to be True.</p> ...@@ -938,7 +938,7 @@ comes in the input. It also sets the stop_gradient to be True.</p>
<h2>ones<a class="headerlink" href="#ones" title="Permalink to this headline"></a></h2> <h2>ones<a class="headerlink" href="#ones" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">ones</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">ones</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em><span class="sig-paren">)</span></dt>
<dd><p>This function performs the same function as fill_constant() declared above <dd><p>This function performs the same function as fill_constant() declared above
with the constant value being 1.0.</p> with the constant value being 1.0.</p>
</dd></dl> </dd></dl>
...@@ -948,7 +948,7 @@ with the constant value being 1.0.</p> ...@@ -948,7 +948,7 @@ with the constant value being 1.0.</p>
<h2>zeros<a class="headerlink" href="#zeros" title="Permalink to this headline"></a></h2> <h2>zeros<a class="headerlink" href="#zeros" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">zeros</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">zeros</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em><span class="sig-paren">)</span></dt>
<dd><p>This function performs the same function as fill_constant() declared above <dd><p>This function performs the same function as fill_constant() declared above
with the constant value being 0.0.</p> with the constant value being 0.0.</p>
</dd></dl> </dd></dl>
...@@ -958,7 +958,7 @@ with the constant value being 0.0.</p> ...@@ -958,7 +958,7 @@ with the constant value being 0.0.</p>
<h2>increment<a class="headerlink" href="#increment" title="Permalink to this headline"></a></h2> <h2>increment<a class="headerlink" href="#increment" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">increment</code><span class="sig-paren">(</span><em>x</em>, <em>value=1.0</em>, <em>in_place=True</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">increment</code><span class="sig-paren">(</span><em>x</em>, <em>value=1.0</em>, <em>in_place=True</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to increment each value in the input <dd><p>This function creates an operator to increment each value in the input
<cite>x</cite> by an amount: <cite>value</cite> as mentioned in the input parameter. This <cite>x</cite> by an amount: <cite>value</cite> as mentioned in the input parameter. This
operation is performed in-place by default.</p> operation is performed in-place by default.</p>
...@@ -969,7 +969,7 @@ operation is performed in-place by default.</p> ...@@ -969,7 +969,7 @@ operation is performed in-place by default.</p>
<h2>array_write<a class="headerlink" href="#array-write" title="Permalink to this headline"></a></h2> <h2>array_write<a class="headerlink" href="#array-write" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_write</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>array=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_write</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>array=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to write the data out as a <dd><p>This function creates an operator to write the data out as a
LOD_TENSOR_ARRAY.</p> LOD_TENSOR_ARRAY.</p>
</dd></dl> </dd></dl>
...@@ -979,7 +979,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -979,7 +979,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>create_array<a class="headerlink" href="#create-array" title="Permalink to this headline"></a></h2> <h2>create_array<a class="headerlink" href="#create-array" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">create_array</code><span class="sig-paren">(</span><em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">create_array</code><span class="sig-paren">(</span><em>dtype</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -987,7 +987,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -987,7 +987,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>less_than<a class="headerlink" href="#less-than" title="Permalink to this headline"></a></h2> <h2>less_than<a class="headerlink" href="#less-than" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">less_than</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>cond=None</em>, <em>main_program=None</em>, <em>**ignored</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">less_than</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>cond=None</em>, <em>**ignored</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -995,7 +995,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -995,7 +995,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>array_read<a class="headerlink" href="#array-read" title="Permalink to this headline"></a></h2> <h2>array_read<a class="headerlink" href="#array-read" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_read</code><span class="sig-paren">(</span><em>array</em>, <em>i</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_read</code><span class="sig-paren">(</span><em>array</em>, <em>i</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to read the data in as a <dd><p>This function creates an operator to read the data in as a
LOD_TENSOR_ARRAY.</p> LOD_TENSOR_ARRAY.</p>
</dd></dl> </dd></dl>
...@@ -1005,7 +1005,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -1005,7 +1005,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>shrink_memory<a class="headerlink" href="#shrink-memory" title="Permalink to this headline"></a></h2> <h2>shrink_memory<a class="headerlink" href="#shrink-memory" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">shrink_memory</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>table</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">shrink_memory</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to shrink_rnn_memory using the RankTable <dd><p>This function creates an operator to shrink_rnn_memory using the RankTable
as mentioned in the input parameter.</p> as mentioned in the input parameter.</p>
</dd></dl> </dd></dl>
...@@ -1015,7 +1015,7 @@ as mentioned in the input parameter.</p> ...@@ -1015,7 +1015,7 @@ as mentioned in the input parameter.</p>
<h2>array_length<a class="headerlink" href="#array-length" title="Permalink to this headline"></a></h2> <h2>array_length<a class="headerlink" href="#array-length" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_length</code><span class="sig-paren">(</span><em>array</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_length</code><span class="sig-paren">(</span><em>array</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to find the length of the <dd><p>This function creates an operator to find the length of the
LOD_TENSOR_ARRAY.</p> LOD_TENSOR_ARRAY.</p>
</dd></dl> </dd></dl>
...@@ -1025,7 +1025,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -1025,7 +1025,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>conv2d_transpose<a class="headerlink" href="#conv2d-transpose" title="Permalink to this headline"></a></h2> <h2>conv2d_transpose<a class="headerlink" href="#conv2d-transpose" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d_transpose</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>output_size=None</em>, <em>filter_size=None</em>, <em>padding=None</em>, <em>stride=None</em>, <em>param_attr=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d_transpose</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>output_size=None</em>, <em>filter_size=None</em>, <em>padding=None</em>, <em>stride=None</em>, <em>param_attr=None</em><span class="sig-paren">)</span></dt>
<dd><p>The transpose of conv2d layer.</p> <dd><p>The transpose of conv2d layer.</p>
<p>This layer is also known as deconvolution layer.</p> <p>This layer is also known as deconvolution layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
......
develop/doc/api/v2/fluid/nets.html
浏览文件 @ 5fe2b4cd
...@@ -215,7 +215,7 @@ ...@@ -215,7 +215,7 @@
<h2>simple_img_conv_pool<a class="headerlink" href="#simple-img-conv-pool" title="Permalink to this headline"></a></h2> <h2>simple_img_conv_pool<a class="headerlink" href="#simple-img-conv-pool" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">simple_img_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>pool_size</em>, <em>pool_stride</em>, <em>act</em>, <em>param_attr=None</em>, <em>pool_type='max'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">simple_img_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>pool_size</em>, <em>pool_stride</em>, <em>act</em>, <em>param_attr=None</em>, <em>pool_type='max'</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -223,7 +223,7 @@ ...@@ -223,7 +223,7 @@
<h2>img_conv_group<a class="headerlink" href="#img-conv-group" title="Permalink to this headline"></a></h2> <h2>img_conv_group<a class="headerlink" href="#img-conv-group" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">img_conv_group</code><span class="sig-paren">(</span><em>input</em>, <em>conv_num_filter</em>, <em>pool_size</em>, <em>conv_padding=1</em>, <em>conv_filter_size=3</em>, <em>conv_act=None</em>, <em>param_attr=None</em>, <em>conv_with_batchnorm=False</em>, <em>conv_batchnorm_drop_rate=None</em>, <em>pool_stride=1</em>, <em>pool_type=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">img_conv_group</code><span class="sig-paren">(</span><em>input</em>, <em>conv_num_filter</em>, <em>pool_size</em>, <em>conv_padding=1</em>, <em>conv_filter_size=3</em>, <em>conv_act=None</em>, <em>param_attr=None</em>, <em>conv_with_batchnorm=False</em>, <em>conv_batchnorm_drop_rate=None</em>, <em>pool_stride=1</em>, <em>pool_type=None</em><span class="sig-paren">)</span></dt>
<dd><p>Image Convolution Group, Used for vgg net.</p> <dd><p>Image Convolution Group, Used for vgg net.</p>
</dd></dl> </dd></dl>
...@@ -232,7 +232,7 @@ ...@@ -232,7 +232,7 @@
<h2>sequence_conv_pool<a class="headerlink" href="#sequence-conv-pool" title="Permalink to this headline"></a></h2> <h2>sequence_conv_pool<a class="headerlink" href="#sequence-conv-pool" title="Permalink to this headline"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>param_attr=None</em>, <em>act='sigmoid'</em>, <em>pool_type='max'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>param_attr=None</em>, <em>act='sigmoid'</em>, <em>pool_type='max'</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
......
develop/doc/searchindex.js
浏览文件 @ 5fe2b4cd
因为 它太大了无法显示 source diff 。你可以改为 查看blob。
develop/doc_cn/api/v2/fluid/layers.html
浏览文件 @ 5fe2b4cd
...@@ -234,7 +234,7 @@ ...@@ -234,7 +234,7 @@
<h2>fc<a class="headerlink" href="#fc" title="永久链接至标题"></a></h2> <h2>fc<a class="headerlink" href="#fc" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fc</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>num_flatten_dims=1</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fc</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>num_flatten_dims=1</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
<dd><p>Fully Connected Layer.</p> <dd><p>Fully Connected Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -272,7 +272,7 @@ to the LayerHelper constructor.</p> ...@@ -272,7 +272,7 @@ to the LayerHelper constructor.</p>
<h2>embedding<a class="headerlink" href="#embedding" title="永久链接至标题"></a></h2> <h2>embedding<a class="headerlink" href="#embedding" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em><span class="sig-paren">)</span></dt>
<dd><p>Embedding Layer.</p> <dd><p>Embedding Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -304,7 +304,7 @@ to the LayerHelper constructor.</p> ...@@ -304,7 +304,7 @@ to the LayerHelper constructor.</p>
<h2>dynamic_lstm<a class="headerlink" href="#dynamic-lstm" title="永久链接至标题"></a></h2> <h2>dynamic_lstm<a class="headerlink" href="#dynamic-lstm" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">dynamic_lstm</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>use_peepholes=True</em>, <em>is_reverse=False</em>, <em>gate_activation='sigmoid'</em>, <em>cell_activation='tanh'</em>, <em>candidate_activation='tanh'</em>, <em>dtype='float32'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">dynamic_lstm</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>use_peepholes=True</em>, <em>is_reverse=False</em>, <em>gate_activation='sigmoid'</em>, <em>cell_activation='tanh'</em>, <em>candidate_activation='tanh'</em>, <em>dtype='float32'</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -312,7 +312,7 @@ to the LayerHelper constructor.</p> ...@@ -312,7 +312,7 @@ to the LayerHelper constructor.</p>
<h2>data<a class="headerlink" href="#data" title="永久链接至标题"></a></h2> <h2>data<a class="headerlink" href="#data" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">data</code><span class="sig-paren">(</span><em>name</em>, <em>shape</em>, <em>append_batch_size=True</em>, <em>dtype='float32'</em>, <em>lod_level=0</em>, <em>type=VarType.LOD_TENSOR</em>, <em>main_program=None</em>, <em>startup_program=None</em>, <em>stop_gradient=True</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">data</code><span class="sig-paren">(</span><em>name</em>, <em>shape</em>, <em>append_batch_size=True</em>, <em>dtype='float32'</em>, <em>lod_level=0</em>, <em>type=VarType.LOD_TENSOR</em>, <em>stop_gradient=True</em><span class="sig-paren">)</span></dt>
<dd><p>Data Layer.</p> <dd><p>Data Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -699,7 +699,7 @@ Duplicable: False Optional: False</li> ...@@ -699,7 +699,7 @@ Duplicable: False Optional: False</li>
<h2>cast<a class="headerlink" href="#cast" title="永久链接至标题"></a></h2> <h2>cast<a class="headerlink" href="#cast" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">cast</code><span class="sig-paren">(</span><em>x</em>, <em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">cast</code><span class="sig-paren">(</span><em>x</em>, <em>dtype</em><span class="sig-paren">)</span></dt>
<dd><p>This function takes in the input with input_dtype <dd><p>This function takes in the input with input_dtype
and casts it to the output_dtype as the output.</p> and casts it to the output_dtype as the output.</p>
</dd></dl> </dd></dl>
...@@ -709,7 +709,7 @@ and casts it to the output_dtype as the output.</p> ...@@ -709,7 +709,7 @@ and casts it to the output_dtype as the output.</p>
<h2>concat<a class="headerlink" href="#concat" title="永久链接至标题"></a></h2> <h2>concat<a class="headerlink" href="#concat" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">concat</code><span class="sig-paren">(</span><em>input</em>, <em>axis</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">concat</code><span class="sig-paren">(</span><em>input</em>, <em>axis</em><span class="sig-paren">)</span></dt>
<dd><p>This function concats the input along the axis mentioned <dd><p>This function concats the input along the axis mentioned
and returns that as the output.</p> and returns that as the output.</p>
</dd></dl> </dd></dl>
...@@ -719,7 +719,7 @@ and returns that as the output.</p> ...@@ -719,7 +719,7 @@ and returns that as the output.</p>
<h2>sums<a class="headerlink" href="#sums" title="永久链接至标题"></a></h2> <h2>sums<a class="headerlink" href="#sums" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sums</code><span class="sig-paren">(</span><em>input</em>, <em>out=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sums</code><span class="sig-paren">(</span><em>input</em>, <em>out=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function takes in the input and performs the sum operation on it <dd><p>This function takes in the input and performs the sum operation on it
and returns that as the output.</p> and returns that as the output.</p>
</dd></dl> </dd></dl>
...@@ -729,7 +729,7 @@ and returns that as the output.</p> ...@@ -729,7 +729,7 @@ and returns that as the output.</p>
<h2>linear_chain_crf<a class="headerlink" href="#linear-chain-crf" title="永久链接至标题"></a></h2> <h2>linear_chain_crf<a class="headerlink" href="#linear-chain-crf" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">linear_chain_crf</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>param_attr=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">linear_chain_crf</code><span class="sig-paren">(</span><em>input</em>, <em>label</em>, <em>param_attr=None</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -737,7 +737,7 @@ and returns that as the output.</p> ...@@ -737,7 +737,7 @@ and returns that as the output.</p>
<h2>assign<a class="headerlink" href="#assign" title="永久链接至标题"></a></h2> <h2>assign<a class="headerlink" href="#assign" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">embedding</code><span class="sig-paren">(</span><em>input</em>, <em>size</em>, <em>is_sparse=False</em>, <em>param_attr=None</em>, <em>dtype='float32'</em><span class="sig-paren">)</span></dt>
<dd><p>Embedding Layer.</p> <dd><p>Embedding Layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
<col class="field-name" /> <col class="field-name" />
...@@ -769,7 +769,7 @@ to the LayerHelper constructor.</p> ...@@ -769,7 +769,7 @@ to the LayerHelper constructor.</p>
<h2>split_lod_tensor<a class="headerlink" href="#split-lod-tensor" title="永久链接至标题"></a></h2> <h2>split_lod_tensor<a class="headerlink" href="#split-lod-tensor" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">split_lod_tensor</code><span class="sig-paren">(</span><em>input</em>, <em>mask</em>, <em>level=0</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">split_lod_tensor</code><span class="sig-paren">(</span><em>input</em>, <em>mask</em>, <em>level=0</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -777,7 +777,7 @@ to the LayerHelper constructor.</p> ...@@ -777,7 +777,7 @@ to the LayerHelper constructor.</p>
<h2>merge_lod_tensor<a class="headerlink" href="#merge-lod-tensor" title="永久链接至标题"></a></h2> <h2>merge_lod_tensor<a class="headerlink" href="#merge-lod-tensor" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">merge_lod_tensor</code><span class="sig-paren">(</span><em>in_true</em>, <em>in_false</em>, <em>x</em>, <em>mask</em>, <em>level=0</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">merge_lod_tensor</code><span class="sig-paren">(</span><em>in_true</em>, <em>in_false</em>, <em>x</em>, <em>mask</em>, <em>level=0</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -824,7 +824,7 @@ The output is the top_k inputs and their indices.</p> ...@@ -824,7 +824,7 @@ The output is the top_k inputs and their indices.</p>
<h2>sequence_conv<a class="headerlink" href="#sequence-conv" title="永久链接至标题"></a></h2> <h2>sequence_conv<a class="headerlink" href="#sequence-conv" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sequence_conv</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size=3</em>, <em>filter_stride=1</em>, <em>padding=None</em>, <em>bias_attr=None</em>, <em>param_attr=None</em>, <em>act=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">sequence_conv</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size=3</em>, <em>filter_stride=1</em>, <em>padding=None</em>, <em>bias_attr=None</em>, <em>param_attr=None</em>, <em>act=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates the op for sequence_conv, using the inputs and <dd><p>This function creates the op for sequence_conv, using the inputs and
other convolutional configurations for the filters and stride as given other convolutional configurations for the filters and stride as given
in the input parameters to the function.</p> in the input parameters to the function.</p>
...@@ -835,7 +835,7 @@ in the input parameters to the function.</p> ...@@ -835,7 +835,7 @@ in the input parameters to the function.</p>
<h2>conv2d<a class="headerlink" href="#conv2d" title="永久链接至标题"></a></h2> <h2>conv2d<a class="headerlink" href="#conv2d" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>stride=None</em>, <em>padding=None</em>, <em>groups=None</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>stride=None</em>, <em>padding=None</em>, <em>groups=None</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>act=None</em>, <em>name=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates the op for a 2-dimensional Convolution. <dd><p>This function creates the op for a 2-dimensional Convolution.
This is performed using the parameters of filters(size, dimensionality etc) This is performed using the parameters of filters(size, dimensionality etc)
, stride and other configurations for a Convolution operation. , stride and other configurations for a Convolution operation.
...@@ -859,7 +859,7 @@ in the parameters.</p> ...@@ -859,7 +859,7 @@ in the parameters.</p>
<h2>pool2d<a class="headerlink" href="#pool2d" title="永久链接至标题"></a></h2> <h2>pool2d<a class="headerlink" href="#pool2d" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>pool_size</em>, <em>pool_type</em>, <em>pool_stride=None</em>, <em>pool_padding=None</em>, <em>global_pooling=False</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">pool2d</code><span class="sig-paren">(</span><em>input</em>, <em>pool_size</em>, <em>pool_type</em>, <em>pool_stride=None</em>, <em>pool_padding=None</em>, <em>global_pooling=False</em><span class="sig-paren">)</span></dt>
<dd><p>This function adds the operator for pooling in 2 dimensions, using the <dd><p>This function adds the operator for pooling in 2 dimensions, using the
pooling configurations mentioned in input parameters.</p> pooling configurations mentioned in input parameters.</p>
</dd></dl> </dd></dl>
...@@ -869,7 +869,7 @@ pooling configurations mentioned in input parameters.</p> ...@@ -869,7 +869,7 @@ pooling configurations mentioned in input parameters.</p>
<h2>batch_norm<a class="headerlink" href="#batch-norm" title="永久链接至标题"></a></h2> <h2>batch_norm<a class="headerlink" href="#batch-norm" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">batch_norm</code><span class="sig-paren">(</span><em>input</em>, <em>act=None</em>, <em>is_test=False</em>, <em>momentum=0.9</em>, <em>epsilon=1e-05</em>, <em>param_attr=None</em>, <em>bias_attr=None</em>, <em>data_layout='NCHW'</em><span class="sig-paren">)</span></dt>
<dd><p>This function helps create an operator to implement <dd><p>This function helps create an operator to implement
the BatchNorm layer using the configurations from the input parameters.</p> the BatchNorm layer using the configurations from the input parameters.</p>
</dd></dl> </dd></dl>
...@@ -879,7 +879,7 @@ the BatchNorm layer using the configurations from the input parameters.</p> ...@@ -879,7 +879,7 @@ the BatchNorm layer using the configurations from the input parameters.</p>
<h2>beam_search_decode<a class="headerlink" href="#beam-search-decode" title="永久链接至标题"></a></h2> <h2>beam_search_decode<a class="headerlink" href="#beam-search-decode" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">beam_search_decode</code><span class="sig-paren">(</span><em>ids</em>, <em>scores</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">beam_search_decode</code><span class="sig-paren">(</span><em>ids</em>, <em>scores</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -890,7 +890,7 @@ the BatchNorm layer using the configurations from the input parameters.</p> ...@@ -890,7 +890,7 @@ the BatchNorm layer using the configurations from the input parameters.</p>
<h2>lod_rank_table<a class="headerlink" href="#lod-rank-table" title="永久链接至标题"></a></h2> <h2>lod_rank_table<a class="headerlink" href="#lod-rank-table" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_rank_table</code><span class="sig-paren">(</span><em>x</em>, <em>level=0</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_rank_table</code><span class="sig-paren">(</span><em>x</em>, <em>level=0</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator for creating a LOD_RANK_TABLE <dd><p>This function creates an operator for creating a LOD_RANK_TABLE
using the input x.</p> using the input x.</p>
</dd></dl> </dd></dl>
...@@ -900,7 +900,7 @@ using the input x.</p> ...@@ -900,7 +900,7 @@ using the input x.</p>
<h2>max_sequence_len<a class="headerlink" href="#max-sequence-len" title="永久链接至标题"></a></h2> <h2>max_sequence_len<a class="headerlink" href="#max-sequence-len" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">max_sequence_len</code><span class="sig-paren">(</span><em>rank_table</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">max_sequence_len</code><span class="sig-paren">(</span><em>rank_table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to calculate the length of <dd><p>This function creates an operator to calculate the length of
max seqence through input rank_table(should be a lod_rank_table)</p> max seqence through input rank_table(should be a lod_rank_table)</p>
</dd></dl> </dd></dl>
...@@ -910,7 +910,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p> ...@@ -910,7 +910,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p>
<h2>topk<a class="headerlink" href="#topk" title="永久链接至标题"></a></h2> <h2>topk<a class="headerlink" href="#topk" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">topk</code><span class="sig-paren">(</span><em>input</em>, <em>k</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">topk</code><span class="sig-paren">(</span><em>input</em>, <em>k</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -918,7 +918,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p> ...@@ -918,7 +918,7 @@ max seqence through input rank_table(should be a lod_rank_table)</p>
<h2>lod_tensor_to_array<a class="headerlink" href="#lod-tensor-to-array" title="永久链接至标题"></a></h2> <h2>lod_tensor_to_array<a class="headerlink" href="#lod-tensor-to-array" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_tensor_to_array</code><span class="sig-paren">(</span><em>x</em>, <em>table</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">lod_tensor_to_array</code><span class="sig-paren">(</span><em>x</em>, <em>table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to convert an LOD_Tensor to <dd><p>This function creates an operator to convert an LOD_Tensor to
an array.</p> an array.</p>
</dd></dl> </dd></dl>
...@@ -928,7 +928,7 @@ an array.</p> ...@@ -928,7 +928,7 @@ an array.</p>
<h2>array_to_lod_tensor<a class="headerlink" href="#array-to-lod-tensor" title="永久链接至标题"></a></h2> <h2>array_to_lod_tensor<a class="headerlink" href="#array-to-lod-tensor" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_to_lod_tensor</code><span class="sig-paren">(</span><em>x</em>, <em>table</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_to_lod_tensor</code><span class="sig-paren">(</span><em>x</em>, <em>table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to convert an array to a <dd><p>This function creates an operator to convert an array to a
LOD_Tensor.</p> LOD_Tensor.</p>
</dd></dl> </dd></dl>
...@@ -938,7 +938,7 @@ LOD_Tensor.</p> ...@@ -938,7 +938,7 @@ LOD_Tensor.</p>
<h2>fill_constant<a class="headerlink" href="#fill-constant" title="永久链接至标题"></a></h2> <h2>fill_constant<a class="headerlink" href="#fill-constant" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>value</em>, <em>out=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>value</em>, <em>out=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates a tensor , with shape as mentioned in the input and <dd><p>This function creates a tensor , with shape as mentioned in the input and
specified dtype and fills this up with a constant value that specified dtype and fills this up with a constant value that
comes in the input. It also sets the stop_gradient to be True.</p> comes in the input. It also sets the stop_gradient to be True.</p>
...@@ -949,7 +949,7 @@ comes in the input. It also sets the stop_gradient to be True.</p> ...@@ -949,7 +949,7 @@ comes in the input. It also sets the stop_gradient to be True.</p>
<h2>fill_constant_batch_size_like<a class="headerlink" href="#fill-constant-batch-size-like" title="永久链接至标题"></a></h2> <h2>fill_constant_batch_size_like<a class="headerlink" href="#fill-constant-batch-size-like" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant_batch_size_like</code><span class="sig-paren">(</span><em>input</em>, <em>shape</em>, <em>dtype</em>, <em>value</em>, <em>input_dim_idx=0</em>, <em>output_dim_idx=0</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">fill_constant_batch_size_like</code><span class="sig-paren">(</span><em>input</em>, <em>shape</em>, <em>dtype</em>, <em>value</em>, <em>input_dim_idx=0</em>, <em>output_dim_idx=0</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -957,7 +957,7 @@ comes in the input. It also sets the stop_gradient to be True.</p> ...@@ -957,7 +957,7 @@ comes in the input. It also sets the stop_gradient to be True.</p>
<h2>ones<a class="headerlink" href="#ones" title="永久链接至标题"></a></h2> <h2>ones<a class="headerlink" href="#ones" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">ones</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">ones</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em><span class="sig-paren">)</span></dt>
<dd><p>This function performs the same function as fill_constant() declared above <dd><p>This function performs the same function as fill_constant() declared above
with the constant value being 1.0.</p> with the constant value being 1.0.</p>
</dd></dl> </dd></dl>
...@@ -967,7 +967,7 @@ with the constant value being 1.0.</p> ...@@ -967,7 +967,7 @@ with the constant value being 1.0.</p>
<h2>zeros<a class="headerlink" href="#zeros" title="永久链接至标题"></a></h2> <h2>zeros<a class="headerlink" href="#zeros" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">zeros</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">zeros</code><span class="sig-paren">(</span><em>shape</em>, <em>dtype</em><span class="sig-paren">)</span></dt>
<dd><p>This function performs the same function as fill_constant() declared above <dd><p>This function performs the same function as fill_constant() declared above
with the constant value being 0.0.</p> with the constant value being 0.0.</p>
</dd></dl> </dd></dl>
...@@ -977,7 +977,7 @@ with the constant value being 0.0.</p> ...@@ -977,7 +977,7 @@ with the constant value being 0.0.</p>
<h2>increment<a class="headerlink" href="#increment" title="永久链接至标题"></a></h2> <h2>increment<a class="headerlink" href="#increment" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">increment</code><span class="sig-paren">(</span><em>x</em>, <em>value=1.0</em>, <em>in_place=True</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">increment</code><span class="sig-paren">(</span><em>x</em>, <em>value=1.0</em>, <em>in_place=True</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to increment each value in the input <dd><p>This function creates an operator to increment each value in the input
<cite>x</cite> by an amount: <cite>value</cite> as mentioned in the input parameter. This <cite>x</cite> by an amount: <cite>value</cite> as mentioned in the input parameter. This
operation is performed in-place by default.</p> operation is performed in-place by default.</p>
...@@ -988,7 +988,7 @@ operation is performed in-place by default.</p> ...@@ -988,7 +988,7 @@ operation is performed in-place by default.</p>
<h2>array_write<a class="headerlink" href="#array-write" title="永久链接至标题"></a></h2> <h2>array_write<a class="headerlink" href="#array-write" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_write</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>array=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_write</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>array=None</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to write the data out as a <dd><p>This function creates an operator to write the data out as a
LOD_TENSOR_ARRAY.</p> LOD_TENSOR_ARRAY.</p>
</dd></dl> </dd></dl>
...@@ -998,7 +998,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -998,7 +998,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>create_array<a class="headerlink" href="#create-array" title="永久链接至标题"></a></h2> <h2>create_array<a class="headerlink" href="#create-array" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">create_array</code><span class="sig-paren">(</span><em>dtype</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">create_array</code><span class="sig-paren">(</span><em>dtype</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -1006,7 +1006,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -1006,7 +1006,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>less_than<a class="headerlink" href="#less-than" title="永久链接至标题"></a></h2> <h2>less_than<a class="headerlink" href="#less-than" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">less_than</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>cond=None</em>, <em>main_program=None</em>, <em>**ignored</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">less_than</code><span class="sig-paren">(</span><em>x</em>, <em>y</em>, <em>cond=None</em>, <em>**ignored</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -1014,7 +1014,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -1014,7 +1014,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>array_read<a class="headerlink" href="#array-read" title="永久链接至标题"></a></h2> <h2>array_read<a class="headerlink" href="#array-read" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_read</code><span class="sig-paren">(</span><em>array</em>, <em>i</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_read</code><span class="sig-paren">(</span><em>array</em>, <em>i</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to read the data in as a <dd><p>This function creates an operator to read the data in as a
LOD_TENSOR_ARRAY.</p> LOD_TENSOR_ARRAY.</p>
</dd></dl> </dd></dl>
...@@ -1024,7 +1024,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -1024,7 +1024,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>shrink_memory<a class="headerlink" href="#shrink-memory" title="永久链接至标题"></a></h2> <h2>shrink_memory<a class="headerlink" href="#shrink-memory" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">shrink_memory</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>table</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">shrink_memory</code><span class="sig-paren">(</span><em>x</em>, <em>i</em>, <em>table</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to shrink_rnn_memory using the RankTable <dd><p>This function creates an operator to shrink_rnn_memory using the RankTable
as mentioned in the input parameter.</p> as mentioned in the input parameter.</p>
</dd></dl> </dd></dl>
...@@ -1034,7 +1034,7 @@ as mentioned in the input parameter.</p> ...@@ -1034,7 +1034,7 @@ as mentioned in the input parameter.</p>
<h2>array_length<a class="headerlink" href="#array-length" title="永久链接至标题"></a></h2> <h2>array_length<a class="headerlink" href="#array-length" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_length</code><span class="sig-paren">(</span><em>array</em>, <em>main_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">array_length</code><span class="sig-paren">(</span><em>array</em><span class="sig-paren">)</span></dt>
<dd><p>This function creates an operator to find the length of the <dd><p>This function creates an operator to find the length of the
LOD_TENSOR_ARRAY.</p> LOD_TENSOR_ARRAY.</p>
</dd></dl> </dd></dl>
...@@ -1044,7 +1044,7 @@ LOD_TENSOR_ARRAY.</p> ...@@ -1044,7 +1044,7 @@ LOD_TENSOR_ARRAY.</p>
<h2>conv2d_transpose<a class="headerlink" href="#conv2d-transpose" title="永久链接至标题"></a></h2> <h2>conv2d_transpose<a class="headerlink" href="#conv2d-transpose" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d_transpose</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>output_size=None</em>, <em>filter_size=None</em>, <em>padding=None</em>, <em>stride=None</em>, <em>param_attr=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.layers.</code><code class="descname">conv2d_transpose</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>output_size=None</em>, <em>filter_size=None</em>, <em>padding=None</em>, <em>stride=None</em>, <em>param_attr=None</em><span class="sig-paren">)</span></dt>
<dd><p>The transpose of conv2d layer.</p> <dd><p>The transpose of conv2d layer.</p>
<p>This layer is also known as deconvolution layer.</p> <p>This layer is also known as deconvolution layer.</p>
<table class="docutils field-list" frame="void" rules="none"> <table class="docutils field-list" frame="void" rules="none">
......
develop/doc_cn/api/v2/fluid/nets.html
浏览文件 @ 5fe2b4cd
...@@ -234,7 +234,7 @@ ...@@ -234,7 +234,7 @@
<h2>simple_img_conv_pool<a class="headerlink" href="#simple-img-conv-pool" title="永久链接至标题"></a></h2> <h2>simple_img_conv_pool<a class="headerlink" href="#simple-img-conv-pool" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">simple_img_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>pool_size</em>, <em>pool_stride</em>, <em>act</em>, <em>param_attr=None</em>, <em>pool_type='max'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">simple_img_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>pool_size</em>, <em>pool_stride</em>, <em>act</em>, <em>param_attr=None</em>, <em>pool_type='max'</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
...@@ -242,7 +242,7 @@ ...@@ -242,7 +242,7 @@
<h2>img_conv_group<a class="headerlink" href="#img-conv-group" title="永久链接至标题"></a></h2> <h2>img_conv_group<a class="headerlink" href="#img-conv-group" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">img_conv_group</code><span class="sig-paren">(</span><em>input</em>, <em>conv_num_filter</em>, <em>pool_size</em>, <em>conv_padding=1</em>, <em>conv_filter_size=3</em>, <em>conv_act=None</em>, <em>param_attr=None</em>, <em>conv_with_batchnorm=False</em>, <em>conv_batchnorm_drop_rate=None</em>, <em>pool_stride=1</em>, <em>pool_type=None</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">img_conv_group</code><span class="sig-paren">(</span><em>input</em>, <em>conv_num_filter</em>, <em>pool_size</em>, <em>conv_padding=1</em>, <em>conv_filter_size=3</em>, <em>conv_act=None</em>, <em>param_attr=None</em>, <em>conv_with_batchnorm=False</em>, <em>conv_batchnorm_drop_rate=None</em>, <em>pool_stride=1</em>, <em>pool_type=None</em><span class="sig-paren">)</span></dt>
<dd><p>Image Convolution Group, Used for vgg net.</p> <dd><p>Image Convolution Group, Used for vgg net.</p>
</dd></dl> </dd></dl>
...@@ -251,7 +251,7 @@ ...@@ -251,7 +251,7 @@
<h2>sequence_conv_pool<a class="headerlink" href="#sequence-conv-pool" title="永久链接至标题"></a></h2> <h2>sequence_conv_pool<a class="headerlink" href="#sequence-conv-pool" title="永久链接至标题"></a></h2>
<dl class="function"> <dl class="function">
<dt> <dt>
<code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>param_attr=None</em>, <em>act='sigmoid'</em>, <em>pool_type='max'</em>, <em>main_program=None</em>, <em>startup_program=None</em><span class="sig-paren">)</span></dt> <code class="descclassname">paddle.v2.fluid.nets.</code><code class="descname">sequence_conv_pool</code><span class="sig-paren">(</span><em>input</em>, <em>num_filters</em>, <em>filter_size</em>, <em>param_attr=None</em>, <em>act='sigmoid'</em>, <em>pool_type='max'</em><span class="sig-paren">)</span></dt>
<dd></dd></dl> <dd></dd></dl>
</div> </div>
......
develop/doc_cn/searchindex.js
浏览文件 @ 5fe2b4cd
因为 它太大了无法显示 source diff 。你可以改为 查看blob。
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或