@@ -270,7 +270,7 @@ layer that not support this attribute, paddle will print an error and core.</p>
<li><strong>drop_rate</strong> (<em>float</em>) – Dropout rate. Dropout will create a mask on layer output.
The dropout rate is the zero rate of this mask. The
details of what dropout is please refer to <aclass="reference external"href="https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf">here</a>.</li>
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>0, use GPU.
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>=0, use GPU.
The details allocation in parallel_nn please refer to <aclass="reference external"href="http://www.paddlepaddle.org/doc/ui/cmd_argument/use_case.html#case-2-specify-layers-in-different-devices">here</a>.</p>
@@ -301,7 +301,7 @@ layer that not support this attribute, paddle will print an error and core.</p>
<li><strong>drop_rate</strong> (<em>float</em>) – Dropout rate. Dropout will create a mask on layer output.
The dropout rate is the zero rate of this mask. The
details of what dropout is please refer to <aclass="reference external"href="https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf">here</a>.</li>
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>0, use GPU.
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>=0, use GPU.
The details allocation in parallel_nn please refer to <aclass="reference external"href="http://www.paddlepaddle.org/doc/ui/cmd_argument/use_case.html#case-2-specify-layers-in-different-devices">here</a>.</p>
@@ -277,7 +277,7 @@ layer that not support this attribute, paddle will print an error and core.</p>
<li><strong>drop_rate</strong> (<em>float</em>) – Dropout rate. Dropout will create a mask on layer output.
The dropout rate is the zero rate of this mask. The
details of what dropout is please refer to <aclass="reference external"href="https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf">here</a>.</li>
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>0, use GPU.
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>=0, use GPU.
The details allocation in parallel_nn please refer to <aclass="reference external"href="http://www.paddlepaddle.org/doc/ui/cmd_argument/use_case.html#case-2-specify-layers-in-different-devices">here</a>.</p>
@@ -308,7 +308,7 @@ layer that not support this attribute, paddle will print an error and core.</p>
<li><strong>drop_rate</strong> (<em>float</em>) – Dropout rate. Dropout will create a mask on layer output.
The dropout rate is the zero rate of this mask. The
details of what dropout is please refer to <aclass="reference external"href="https://www.cs.toronto.edu/~hinton/absps/JMLRdropout.pdf">here</a>.</li>
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>0, use GPU.
<li><strong>device</strong> (<em>int</em>) –<p>device ID of layer. device=-1, use CPU. device>=0, use GPU.
The details allocation in parallel_nn please refer to <aclass="reference external"href="http://www.paddlepaddle.org/doc/ui/cmd_argument/use_case.html#case-2-specify-layers-in-different-devices">here</a>.</p>