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develop/doc/_sources/design/support_new_device.md.txt
浏览文件 @ d590f048
......@@ -174,7 +174,7 @@ class MaxOutFunctor {
};
```
CPU implemention is in .cc file
CPU implementation is in .cc file
```
template <typename T>
......@@ -188,7 +188,7 @@ class MaxOutFunctor<platform::CPUDeviceContext, T> {
};
```
CUDA implemention is in .cu file
CUDA implementation is in .cu file
```
template <typename T>
......@@ -203,9 +203,9 @@ class MaxOutFunctor<platform::CUDADeviceContext, T> {
```
We first obtain the computing handle from a concrete DeviceContext, and then compute on tensors.
We first obtain the computing handle from a concrete DeviceContext and then compute on tensors.
The implemention of `OpKernel` is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.
The implementation of `OpKernel` is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.
Fluid provides different register interfaces in op_registry.h
......
develop/doc/design/support_new_device.html
浏览文件 @ d590f048
......@@ -358,7 +358,7 @@
<span class="p">};</span>
</pre></div>
</div>
<p>CPU implemention is in .cc file</p>
<p>CPU implementation is in .cc file</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">template</span> <span class="o">&lt;</span><span class="n">typename</span> <span class="n">T</span><span class="o">&gt;</span>
<span class="k">class</span> <span class="nc">MaxOutFunctor</span><span class="o">&lt;</span><span class="n">platform</span><span class="p">::</span><span class="n">CPUDeviceContext</span><span class="p">,</span> <span class="n">T</span><span class="o">&gt;</span> <span class="p">{</span>
<span class="n">public</span><span class="p">:</span>
......@@ -370,7 +370,7 @@
<span class="p">};</span>
</pre></div>
</div>
<p>CUDA implemention is in .cu file</p>
<p>CUDA implementation is in .cu file</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">template</span> <span class="o">&lt;</span><span class="n">typename</span> <span class="n">T</span><span class="o">&gt;</span>
<span class="k">class</span> <span class="nc">MaxOutFunctor</span><span class="o">&lt;</span><span class="n">platform</span><span class="p">::</span><span class="n">CUDADeviceContext</span><span class="p">,</span> <span class="n">T</span><span class="o">&gt;</span> <span class="p">{</span>
<span class="n">public</span><span class="p">:</span>
......@@ -382,8 +382,8 @@
<span class="p">};</span>
</pre></div>
</div>
<p>We first obtain the computing handle from a concrete DeviceContext, and then compute on tensors.</p>
<p>The implemention of <code class="docutils literal"><span class="pre">OpKernel</span></code> is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.</p>
<p>We first obtain the computing handle from a concrete DeviceContext and then compute on tensors.</p>
<p>The implementation of <code class="docutils literal"><span class="pre">OpKernel</span></code> is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.</p>
<p>Fluid provides different register interfaces in op_registry.h</p>
<p>Let&#8217;s take <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/crop_op.cc#L134">Crop</a> operator as an example:</p>
<p>In .cc file:</p>
......
develop/doc_cn/_sources/design/support_new_device.md.txt
浏览文件 @ d590f048
......@@ -174,7 +174,7 @@ class MaxOutFunctor {
};
```
CPU implemention is in .cc file
CPU implementation is in .cc file
```
template <typename T>
......@@ -188,7 +188,7 @@ class MaxOutFunctor<platform::CPUDeviceContext, T> {
};
```
CUDA implemention is in .cu file
CUDA implementation is in .cu file
```
template <typename T>
......@@ -203,9 +203,9 @@ class MaxOutFunctor<platform::CUDADeviceContext, T> {
```
We first obtain the computing handle from a concrete DeviceContext, and then compute on tensors.
We first obtain the computing handle from a concrete DeviceContext and then compute on tensors.
The implemention of `OpKernel` is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.
The implementation of `OpKernel` is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.
Fluid provides different register interfaces in op_registry.h
......
develop/doc_cn/design/support_new_device.html
浏览文件 @ d590f048
......@@ -377,7 +377,7 @@
<span class="p">};</span>
</pre></div>
</div>
<p>CPU implemention is in .cc file</p>
<p>CPU implementation is in .cc file</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">template</span> <span class="o">&lt;</span><span class="n">typename</span> <span class="n">T</span><span class="o">&gt;</span>
<span class="k">class</span> <span class="nc">MaxOutFunctor</span><span class="o">&lt;</span><span class="n">platform</span><span class="p">::</span><span class="n">CPUDeviceContext</span><span class="p">,</span> <span class="n">T</span><span class="o">&gt;</span> <span class="p">{</span>
<span class="n">public</span><span class="p">:</span>
......@@ -389,7 +389,7 @@
<span class="p">};</span>
</pre></div>
</div>
<p>CUDA implemention is in .cu file</p>
<p>CUDA implementation is in .cu file</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">template</span> <span class="o">&lt;</span><span class="n">typename</span> <span class="n">T</span><span class="o">&gt;</span>
<span class="k">class</span> <span class="nc">MaxOutFunctor</span><span class="o">&lt;</span><span class="n">platform</span><span class="p">::</span><span class="n">CUDADeviceContext</span><span class="p">,</span> <span class="n">T</span><span class="o">&gt;</span> <span class="p">{</span>
<span class="n">public</span><span class="p">:</span>
......@@ -401,8 +401,8 @@
<span class="p">};</span>
</pre></div>
</div>
<p>We first obtain the computing handle from a concrete DeviceContext, and then compute on tensors.</p>
<p>The implemention of <code class="docutils literal"><span class="pre">OpKernel</span></code> is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.</p>
<p>We first obtain the computing handle from a concrete DeviceContext and then compute on tensors.</p>
<p>The implementation of <code class="docutils literal"><span class="pre">OpKernel</span></code> is similar to math functors, the extra thing we need to do is to register the OpKernel in a global map.</p>
<p>Fluid provides different register interfaces in op_registry.h</p>
<p>Let&#8217;s take <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/crop_op.cc#L134">Crop</a> operator as an example:</p>
<p>In .cc file:</p>
......
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