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develop/doc/_sources/design/refactorization.md.txt
浏览文件 @ ba8b1325
...@@ -17,7 +17,7 @@ The goals of refactoring include: ...@@ -17,7 +17,7 @@ The goals of refactoring include:
1. A graph is composed of *variables* and *operators*. 1. A graph is composed of *variables* and *operators*.
1. The description of graphs must be capable of being serialized/deserialized, so that 1. The description of graphs must be capable of being serialized/deserialized, so that:
1. It can to be sent to the cloud for distributed execution, and 1. It can to be sent to the cloud for distributed execution, and
1. It can be sent to clients for mobile or enterprise deployment. 1. It can be sent to clients for mobile or enterprise deployment.
...@@ -137,19 +137,18 @@ Compile Time -> IR -> Runtime ...@@ -137,19 +137,18 @@ Compile Time -> IR -> Runtime
* `Eigen::Tensor` contains basic math and element-wise functions. * `Eigen::Tensor` contains basic math and element-wise functions.
* Note that `Eigen::Tensor` has broadcast implementation. * Note that `Eigen::Tensor` has broadcast implementation.
* Limit the number of `tensor.device(dev) = ` in your code. * Limit the number of `tensor.device(dev) = ` in your code.
* `thrust::tranform` and `std::transform`. * `thrust::transform` and `std::transform`.
* `thrust` has the same API as C++ standard library. Using `transform`, one can quickly implement customized elementwise kernels. * `thrust` has the same API as C++ standard library. Using `transform`, one can quickly implement customized element-wise kernels.
* `thrust` also has more complex APIs, like `scan`, `reduce`, `reduce_by_key`. * `thrust` also has more complex APIs, like `scan`, `reduce`, `reduce_by_key`.
* Hand-writing `GPUKernel` and `CPU` code * Hand-writing `GPUKernel` and `CPU` code
* Do not write in header (`.h`) files. CPU Kernel should be in cpp source (`.cc`) and GPU kernels should be in cuda (`.cu`) files. (GCC cannot compile GPU code.) * Do not write in header (`.h`) files. CPU Kernel should be in cpp source (`.cc`) and GPU kernels should be in cuda (`.cu`) files. (GCC cannot compile GPU code.)
--- ---
# Operator Registration # Operator Registration
## Why registration is necessary? ## Why is registration necessary?
We need a method to build mappings between Op type names and Op classes. We need a method to build mappings between Op type names and Op classes.
## How is registration implemented? ## How is registration implemented?
Maintaining a map, whose key is the type name and the value is the corresponding Op constructor. Maintaining a map, whose key is the type name and the value is the corresponding Op constructor.
--- ---
...@@ -170,7 +169,7 @@ Maintaining a map, whose key is the type name and the value is the corresponding ...@@ -170,7 +169,7 @@ Maintaining a map, whose key is the type name and the value is the corresponding
# Related Concepts # Related Concepts
### Op_Maker ### Op_Maker
It's constructor takes `proto` and `checker`. They are compeleted during Op_Maker's construction. ([ScaleOpMaker](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37)) It's constructor takes `proto` and `checker`. They are completed during Op_Maker's construction. ([ScaleOpMaker](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37))
### Register Macros ### Register Macros
```cpp ```cpp
...@@ -200,7 +199,7 @@ Make sure the registration process is executed and linked. ...@@ -200,7 +199,7 @@ Make sure the registration process is executed and linked.
--- ---
# Backward Module (2/2) # Backward Module (2/2)
### Build Backward Network ### Build Backward Network
- **Input**: graph of forwarding operators - **Input**: graph of forward operators
- **Output**: graph of backward operators - **Output**: graph of backward operators
- **Corner cases in construction** - **Corner cases in construction**
- Shared Variables => insert an `Add` operator to combine gradients - Shared Variables => insert an `Add` operator to combine gradients
...@@ -224,7 +223,7 @@ Make sure the registration process is executed and linked. ...@@ -224,7 +223,7 @@ Make sure the registration process is executed and linked.
--- ---
# Block (in design) # Block (in design)
## the difference with original RNNOp ## the difference between original RNNOp and Block
- As an operator is more intuitive than `RNNOp`, - As an operator is more intuitive than `RNNOp`,
- Offers a new interface `Eval(targets)` to deduce the minimal block to `Run`, - Offers a new interface `Eval(targets)` to deduce the minimal block to `Run`,
- Fits the compile-time/ runtime separation design paradigm. - Fits the compile-time/ runtime separation design paradigm.
......
develop/doc/design/refactorization.html
浏览文件 @ ba8b1325
...@@ -193,7 +193,7 @@ ...@@ -193,7 +193,7 @@
<li>Please refer to <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/graph.md">computation graphs</a> for a concrete example.</li> <li>Please refer to <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/graph.md">computation graphs</a> for a concrete example.</li>
<li>Users write Python programs to describe the graphs and run them (locally or remotely).</li> <li>Users write Python programs to describe the graphs and run them (locally or remotely).</li>
<li>A graph is composed of <em>variables</em> and <em>operators</em>.</li> <li>A graph is composed of <em>variables</em> and <em>operators</em>.</li>
<li>The description of graphs must be capable of being serialized/deserialized, so that<ol> <li>The description of graphs must be capable of being serialized/deserialized, so that:<ol>
<li>It can to be sent to the cloud for distributed execution, and</li> <li>It can to be sent to the cloud for distributed execution, and</li>
<li>It can be sent to clients for mobile or enterprise deployment.</li> <li>It can be sent to clients for mobile or enterprise deployment.</li>
</ol> </ol>
...@@ -341,8 +341,8 @@ ...@@ -341,8 +341,8 @@
<li>Limit the number of <code class="docutils literal"><span class="pre">tensor.device(dev)</span> <span class="pre">=</span></code> in your code.</li> <li>Limit the number of <code class="docutils literal"><span class="pre">tensor.device(dev)</span> <span class="pre">=</span></code> in your code.</li>
</ul> </ul>
</li> </li>
<li><code class="docutils literal"><span class="pre">thrust::tranform</span></code> and <code class="docutils literal"><span class="pre">std::transform</span></code>.<ul> <li><code class="docutils literal"><span class="pre">thrust::transform</span></code> and <code class="docutils literal"><span class="pre">std::transform</span></code>.<ul>
<li><code class="docutils literal"><span class="pre">thrust</span></code> has the same API as C++ standard library. Using <code class="docutils literal"><span class="pre">transform</span></code>, one can quickly implement customized elementwise kernels.</li> <li><code class="docutils literal"><span class="pre">thrust</span></code> has the same API as C++ standard library. Using <code class="docutils literal"><span class="pre">transform</span></code>, one can quickly implement customized element-wise kernels.</li>
<li><code class="docutils literal"><span class="pre">thrust</span></code> also has more complex APIs, like <code class="docutils literal"><span class="pre">scan</span></code>, <code class="docutils literal"><span class="pre">reduce</span></code>, <code class="docutils literal"><span class="pre">reduce_by_key</span></code>.</li> <li><code class="docutils literal"><span class="pre">thrust</span></code> also has more complex APIs, like <code class="docutils literal"><span class="pre">scan</span></code>, <code class="docutils literal"><span class="pre">reduce</span></code>, <code class="docutils literal"><span class="pre">reduce_by_key</span></code>.</li>
</ul> </ul>
</li> </li>
...@@ -355,8 +355,8 @@ ...@@ -355,8 +355,8 @@
<hr class="docutils" /> <hr class="docutils" />
<div class="section" id="operator-registration"> <div class="section" id="operator-registration">
<span id="operator-registration"></span><h1>Operator Registration<a class="headerlink" href="#operator-registration" title="Permalink to this headline"></a></h1> <span id="operator-registration"></span><h1>Operator Registration<a class="headerlink" href="#operator-registration" title="Permalink to this headline"></a></h1>
<div class="section" id="why-registration-is-necessary"> <div class="section" id="why-is-registration-necessary">
<span id="why-registration-is-necessary"></span><h2>Why registration is necessary?<a class="headerlink" href="#why-registration-is-necessary" title="Permalink to this headline"></a></h2> <span id="why-is-registration-necessary"></span><h2>Why is registration necessary?<a class="headerlink" href="#why-is-registration-necessary" title="Permalink to this headline"></a></h2>
<p>We need a method to build mappings between Op type names and Op classes.</p> <p>We need a method to build mappings between Op type names and Op classes.</p>
</div> </div>
<div class="section" id="how-is-registration-implemented"> <div class="section" id="how-is-registration-implemented">
...@@ -384,7 +384,7 @@ ...@@ -384,7 +384,7 @@
<span id="related-concepts"></span><h1>Related Concepts<a class="headerlink" href="#related-concepts" title="Permalink to this headline"></a></h1> <span id="related-concepts"></span><h1>Related Concepts<a class="headerlink" href="#related-concepts" title="Permalink to this headline"></a></h1>
<div class="section" id="op-maker"> <div class="section" id="op-maker">
<span id="op-maker"></span><h2>Op_Maker<a class="headerlink" href="#op-maker" title="Permalink to this headline"></a></h2> <span id="op-maker"></span><h2>Op_Maker<a class="headerlink" href="#op-maker" title="Permalink to this headline"></a></h2>
<p>It&#8217;s constructor takes <code class="docutils literal"><span class="pre">proto</span></code> and <code class="docutils literal"><span class="pre">checker</span></code>. They are compeleted during Op_Maker&#8217;s construction. (<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37">ScaleOpMaker</a>)</p> <p>It&#8217;s constructor takes <code class="docutils literal"><span class="pre">proto</span></code> and <code class="docutils literal"><span class="pre">checker</span></code>. They are completed during Op_Maker&#8217;s construction. (<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37">ScaleOpMaker</a>)</p>
</div> </div>
<div class="section" id="register-macros"> <div class="section" id="register-macros">
<span id="register-macros"></span><h2>Register Macros<a class="headerlink" href="#register-macros" title="Permalink to this headline"></a></h2> <span id="register-macros"></span><h2>Register Macros<a class="headerlink" href="#register-macros" title="Permalink to this headline"></a></h2>
...@@ -429,7 +429,7 @@ ...@@ -429,7 +429,7 @@
<div class="section" id="build-backward-network"> <div class="section" id="build-backward-network">
<span id="build-backward-network"></span><h2>Build Backward Network<a class="headerlink" href="#build-backward-network" title="Permalink to this headline"></a></h2> <span id="build-backward-network"></span><h2>Build Backward Network<a class="headerlink" href="#build-backward-network" title="Permalink to this headline"></a></h2>
<ul class="simple"> <ul class="simple">
<li><strong>Input</strong>: graph of forwarding operators</li> <li><strong>Input</strong>: graph of forward operators</li>
<li><strong>Output</strong>: graph of backward operators</li> <li><strong>Output</strong>: graph of backward operators</li>
<li><strong>Corner cases in construction</strong><ul> <li><strong>Corner cases in construction</strong><ul>
<li>Shared Variables =&gt; insert an <code class="docutils literal"><span class="pre">Add</span></code> operator to combine gradients</li> <li>Shared Variables =&gt; insert an <code class="docutils literal"><span class="pre">Add</span></code> operator to combine gradients</li>
...@@ -465,8 +465,8 @@ ...@@ -465,8 +465,8 @@
<hr class="docutils" /> <hr class="docutils" />
<div class="section" id="block-in-design"> <div class="section" id="block-in-design">
<span id="block-in-design"></span><h1>Block (in design)<a class="headerlink" href="#block-in-design" title="Permalink to this headline"></a></h1> <span id="block-in-design"></span><h1>Block (in design)<a class="headerlink" href="#block-in-design" title="Permalink to this headline"></a></h1>
<div class="section" id="the-difference-with-original-rnnop"> <div class="section" id="the-difference-between-original-rnnop-and-block">
<span id="the-difference-with-original-rnnop"></span><h2>the difference with original RNNOp<a class="headerlink" href="#the-difference-with-original-rnnop" title="Permalink to this headline"></a></h2> <span id="the-difference-between-original-rnnop-and-block"></span><h2>the difference between original RNNOp and Block<a class="headerlink" href="#the-difference-between-original-rnnop-and-block" title="Permalink to this headline"></a></h2>
<ul class="simple"> <ul class="simple">
<li>As an operator is more intuitive than <code class="docutils literal"><span class="pre">RNNOp</span></code>,</li> <li>As an operator is more intuitive than <code class="docutils literal"><span class="pre">RNNOp</span></code>,</li>
<li>Offers a new interface <code class="docutils literal"><span class="pre">Eval(targets)</span></code> to deduce the minimal block to <code class="docutils literal"><span class="pre">Run</span></code>,</li> <li>Offers a new interface <code class="docutils literal"><span class="pre">Eval(targets)</span></code> to deduce the minimal block to <code class="docutils literal"><span class="pre">Run</span></code>,</li>
......
develop/doc/searchindex.js
浏览文件 @ ba8b1325
因为 它太大了无法显示 source diff 。你可以改为 查看blob。
develop/doc_cn/_sources/design/refactorization.md.txt
浏览文件 @ ba8b1325
...@@ -17,7 +17,7 @@ The goals of refactoring include: ...@@ -17,7 +17,7 @@ The goals of refactoring include:
1. A graph is composed of *variables* and *operators*. 1. A graph is composed of *variables* and *operators*.
1. The description of graphs must be capable of being serialized/deserialized, so that 1. The description of graphs must be capable of being serialized/deserialized, so that:
1. It can to be sent to the cloud for distributed execution, and 1. It can to be sent to the cloud for distributed execution, and
1. It can be sent to clients for mobile or enterprise deployment. 1. It can be sent to clients for mobile or enterprise deployment.
...@@ -137,19 +137,18 @@ Compile Time -> IR -> Runtime ...@@ -137,19 +137,18 @@ Compile Time -> IR -> Runtime
* `Eigen::Tensor` contains basic math and element-wise functions. * `Eigen::Tensor` contains basic math and element-wise functions.
* Note that `Eigen::Tensor` has broadcast implementation. * Note that `Eigen::Tensor` has broadcast implementation.
* Limit the number of `tensor.device(dev) = ` in your code. * Limit the number of `tensor.device(dev) = ` in your code.
* `thrust::tranform` and `std::transform`. * `thrust::transform` and `std::transform`.
* `thrust` has the same API as C++ standard library. Using `transform`, one can quickly implement customized elementwise kernels. * `thrust` has the same API as C++ standard library. Using `transform`, one can quickly implement customized element-wise kernels.
* `thrust` also has more complex APIs, like `scan`, `reduce`, `reduce_by_key`. * `thrust` also has more complex APIs, like `scan`, `reduce`, `reduce_by_key`.
* Hand-writing `GPUKernel` and `CPU` code * Hand-writing `GPUKernel` and `CPU` code
* Do not write in header (`.h`) files. CPU Kernel should be in cpp source (`.cc`) and GPU kernels should be in cuda (`.cu`) files. (GCC cannot compile GPU code.) * Do not write in header (`.h`) files. CPU Kernel should be in cpp source (`.cc`) and GPU kernels should be in cuda (`.cu`) files. (GCC cannot compile GPU code.)
--- ---
# Operator Registration # Operator Registration
## Why registration is necessary? ## Why is registration necessary?
We need a method to build mappings between Op type names and Op classes. We need a method to build mappings between Op type names and Op classes.
## How is registration implemented? ## How is registration implemented?
Maintaining a map, whose key is the type name and the value is the corresponding Op constructor. Maintaining a map, whose key is the type name and the value is the corresponding Op constructor.
--- ---
...@@ -170,7 +169,7 @@ Maintaining a map, whose key is the type name and the value is the corresponding ...@@ -170,7 +169,7 @@ Maintaining a map, whose key is the type name and the value is the corresponding
# Related Concepts # Related Concepts
### Op_Maker ### Op_Maker
It's constructor takes `proto` and `checker`. They are compeleted during Op_Maker's construction. ([ScaleOpMaker](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37)) It's constructor takes `proto` and `checker`. They are completed during Op_Maker's construction. ([ScaleOpMaker](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37))
### Register Macros ### Register Macros
```cpp ```cpp
...@@ -200,7 +199,7 @@ Make sure the registration process is executed and linked. ...@@ -200,7 +199,7 @@ Make sure the registration process is executed and linked.
--- ---
# Backward Module (2/2) # Backward Module (2/2)
### Build Backward Network ### Build Backward Network
- **Input**: graph of forwarding operators - **Input**: graph of forward operators
- **Output**: graph of backward operators - **Output**: graph of backward operators
- **Corner cases in construction** - **Corner cases in construction**
- Shared Variables => insert an `Add` operator to combine gradients - Shared Variables => insert an `Add` operator to combine gradients
...@@ -224,7 +223,7 @@ Make sure the registration process is executed and linked. ...@@ -224,7 +223,7 @@ Make sure the registration process is executed and linked.
--- ---
# Block (in design) # Block (in design)
## the difference with original RNNOp ## the difference between original RNNOp and Block
- As an operator is more intuitive than `RNNOp`, - As an operator is more intuitive than `RNNOp`,
- Offers a new interface `Eval(targets)` to deduce the minimal block to `Run`, - Offers a new interface `Eval(targets)` to deduce the minimal block to `Run`,
- Fits the compile-time/ runtime separation design paradigm. - Fits the compile-time/ runtime separation design paradigm.
......
develop/doc_cn/design/refactorization.html
浏览文件 @ ba8b1325
...@@ -207,7 +207,7 @@ ...@@ -207,7 +207,7 @@
<li>Please refer to <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/graph.md">computation graphs</a> for a concrete example.</li> <li>Please refer to <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/graph.md">computation graphs</a> for a concrete example.</li>
<li>Users write Python programs to describe the graphs and run them (locally or remotely).</li> <li>Users write Python programs to describe the graphs and run them (locally or remotely).</li>
<li>A graph is composed of <em>variables</em> and <em>operators</em>.</li> <li>A graph is composed of <em>variables</em> and <em>operators</em>.</li>
<li>The description of graphs must be capable of being serialized/deserialized, so that<ol> <li>The description of graphs must be capable of being serialized/deserialized, so that:<ol>
<li>It can to be sent to the cloud for distributed execution, and</li> <li>It can to be sent to the cloud for distributed execution, and</li>
<li>It can be sent to clients for mobile or enterprise deployment.</li> <li>It can be sent to clients for mobile or enterprise deployment.</li>
</ol> </ol>
...@@ -355,8 +355,8 @@ ...@@ -355,8 +355,8 @@
<li>Limit the number of <code class="docutils literal"><span class="pre">tensor.device(dev)</span> <span class="pre">=</span></code> in your code.</li> <li>Limit the number of <code class="docutils literal"><span class="pre">tensor.device(dev)</span> <span class="pre">=</span></code> in your code.</li>
</ul> </ul>
</li> </li>
<li><code class="docutils literal"><span class="pre">thrust::tranform</span></code> and <code class="docutils literal"><span class="pre">std::transform</span></code>.<ul> <li><code class="docutils literal"><span class="pre">thrust::transform</span></code> and <code class="docutils literal"><span class="pre">std::transform</span></code>.<ul>
<li><code class="docutils literal"><span class="pre">thrust</span></code> has the same API as C++ standard library. Using <code class="docutils literal"><span class="pre">transform</span></code>, one can quickly implement customized elementwise kernels.</li> <li><code class="docutils literal"><span class="pre">thrust</span></code> has the same API as C++ standard library. Using <code class="docutils literal"><span class="pre">transform</span></code>, one can quickly implement customized element-wise kernels.</li>
<li><code class="docutils literal"><span class="pre">thrust</span></code> also has more complex APIs, like <code class="docutils literal"><span class="pre">scan</span></code>, <code class="docutils literal"><span class="pre">reduce</span></code>, <code class="docutils literal"><span class="pre">reduce_by_key</span></code>.</li> <li><code class="docutils literal"><span class="pre">thrust</span></code> also has more complex APIs, like <code class="docutils literal"><span class="pre">scan</span></code>, <code class="docutils literal"><span class="pre">reduce</span></code>, <code class="docutils literal"><span class="pre">reduce_by_key</span></code>.</li>
</ul> </ul>
</li> </li>
...@@ -369,8 +369,8 @@ ...@@ -369,8 +369,8 @@
<hr class="docutils" /> <hr class="docutils" />
<div class="section" id="operator-registration"> <div class="section" id="operator-registration">
<span id="operator-registration"></span><h1>Operator Registration<a class="headerlink" href="#operator-registration" title="永久链接至标题"></a></h1> <span id="operator-registration"></span><h1>Operator Registration<a class="headerlink" href="#operator-registration" title="永久链接至标题"></a></h1>
<div class="section" id="why-registration-is-necessary"> <div class="section" id="why-is-registration-necessary">
<span id="why-registration-is-necessary"></span><h2>Why registration is necessary?<a class="headerlink" href="#why-registration-is-necessary" title="永久链接至标题"></a></h2> <span id="why-is-registration-necessary"></span><h2>Why is registration necessary?<a class="headerlink" href="#why-is-registration-necessary" title="永久链接至标题"></a></h2>
<p>We need a method to build mappings between Op type names and Op classes.</p> <p>We need a method to build mappings between Op type names and Op classes.</p>
</div> </div>
<div class="section" id="how-is-registration-implemented"> <div class="section" id="how-is-registration-implemented">
...@@ -398,7 +398,7 @@ ...@@ -398,7 +398,7 @@
<span id="related-concepts"></span><h1>Related Concepts<a class="headerlink" href="#related-concepts" title="永久链接至标题"></a></h1> <span id="related-concepts"></span><h1>Related Concepts<a class="headerlink" href="#related-concepts" title="永久链接至标题"></a></h1>
<div class="section" id="op-maker"> <div class="section" id="op-maker">
<span id="op-maker"></span><h2>Op_Maker<a class="headerlink" href="#op-maker" title="永久链接至标题"></a></h2> <span id="op-maker"></span><h2>Op_Maker<a class="headerlink" href="#op-maker" title="永久链接至标题"></a></h2>
<p>It&#8217;s constructor takes <code class="docutils literal"><span class="pre">proto</span></code> and <code class="docutils literal"><span class="pre">checker</span></code>. They are compeleted during Op_Maker&#8217;s construction. (<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37">ScaleOpMaker</a>)</p> <p>It&#8217;s constructor takes <code class="docutils literal"><span class="pre">proto</span></code> and <code class="docutils literal"><span class="pre">checker</span></code>. They are completed during Op_Maker&#8217;s construction. (<a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/scale_op.cc#L37">ScaleOpMaker</a>)</p>
</div> </div>
<div class="section" id="register-macros"> <div class="section" id="register-macros">
<span id="register-macros"></span><h2>Register Macros<a class="headerlink" href="#register-macros" title="永久链接至标题"></a></h2> <span id="register-macros"></span><h2>Register Macros<a class="headerlink" href="#register-macros" title="永久链接至标题"></a></h2>
...@@ -443,7 +443,7 @@ ...@@ -443,7 +443,7 @@
<div class="section" id="build-backward-network"> <div class="section" id="build-backward-network">
<span id="build-backward-network"></span><h2>Build Backward Network<a class="headerlink" href="#build-backward-network" title="永久链接至标题"></a></h2> <span id="build-backward-network"></span><h2>Build Backward Network<a class="headerlink" href="#build-backward-network" title="永久链接至标题"></a></h2>
<ul class="simple"> <ul class="simple">
<li><strong>Input</strong>: graph of forwarding operators</li> <li><strong>Input</strong>: graph of forward operators</li>
<li><strong>Output</strong>: graph of backward operators</li> <li><strong>Output</strong>: graph of backward operators</li>
<li><strong>Corner cases in construction</strong><ul> <li><strong>Corner cases in construction</strong><ul>
<li>Shared Variables =&gt; insert an <code class="docutils literal"><span class="pre">Add</span></code> operator to combine gradients</li> <li>Shared Variables =&gt; insert an <code class="docutils literal"><span class="pre">Add</span></code> operator to combine gradients</li>
...@@ -479,8 +479,8 @@ ...@@ -479,8 +479,8 @@
<hr class="docutils" /> <hr class="docutils" />
<div class="section" id="block-in-design"> <div class="section" id="block-in-design">
<span id="block-in-design"></span><h1>Block (in design)<a class="headerlink" href="#block-in-design" title="永久链接至标题"></a></h1> <span id="block-in-design"></span><h1>Block (in design)<a class="headerlink" href="#block-in-design" title="永久链接至标题"></a></h1>
<div class="section" id="the-difference-with-original-rnnop"> <div class="section" id="the-difference-between-original-rnnop-and-block">
<span id="the-difference-with-original-rnnop"></span><h2>the difference with original RNNOp<a class="headerlink" href="#the-difference-with-original-rnnop" title="永久链接至标题"></a></h2> <span id="the-difference-between-original-rnnop-and-block"></span><h2>the difference between original RNNOp and Block<a class="headerlink" href="#the-difference-between-original-rnnop-and-block" title="永久链接至标题"></a></h2>
<ul class="simple"> <ul class="simple">
<li>As an operator is more intuitive than <code class="docutils literal"><span class="pre">RNNOp</span></code>,</li> <li>As an operator is more intuitive than <code class="docutils literal"><span class="pre">RNNOp</span></code>,</li>
<li>Offers a new interface <code class="docutils literal"><span class="pre">Eval(targets)</span></code> to deduce the minimal block to <code class="docutils literal"><span class="pre">Run</span></code>,</li> <li>Offers a new interface <code class="docutils literal"><span class="pre">Eval(targets)</span></code> to deduce the minimal block to <code class="docutils literal"><span class="pre">Run</span></code>,</li>
......
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