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develop/doc/_sources/howto/dev/new_op_en.md.txt

@@ -182,7 +182,7 @@ Note that **different devices (CPU, GPU)share an Op definition; whether or not t
 
 `MulOp`'s CPU and GPU share the same `Kernel`. A non-sharing  `OpKernel` example can be seen in [`OnehotCrossEntropyOpKernel`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/cross_entropy_op.h#L43).
 
-To ease the writing of `OpKernel` compute, and for reusing code cross-device, `Eigen unsupported Tensor` module is used to implement `Compute` interface. To learn about how the Eigen library is used in PaddlePaddle, please see [usage document](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/use_eigen_cn.md).
+To ease the writing of `OpKernel` compute, and for reusing code cross-device, [`Eigen-unsupported Tensor`](https://bitbucket.org/eigen/eigen/src/default/unsupported/Eigen/CXX11/src/Tensor/README.md?fileviewer=file-view-default) module is used to implement `Compute` interface. To learn about how the Eigen library is used in PaddlePaddle, please see [usage document](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/use_eigen_cn.md).
 
 
 This concludes the forward implementation of an operator. Next its operation and kernel need to be registered in a `.cc` file.

develop/doc/howto/dev/new_op_en.html

@@ -340,7 +340,7 @@ Registering the Op           | Ops are registered in <code class="docutils liter
 </div>
 <p>Note that <strong>different devices (CPU, GPU)share an Op definition; whether or not they share the same <code class="docutils literal"><span class="pre">OpKernel</span></code> depends on whether <code class="docutils literal"><span class="pre">Compute</span></code> calls functions that support both devices.</strong></p>
 <p><code class="docutils literal"><span class="pre">MulOp</span></code>&#8216;s CPU and GPU share the same <code class="docutils literal"><span class="pre">Kernel</span></code>. A non-sharing  <code class="docutils literal"><span class="pre">OpKernel</span></code> example can be seen in <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/cross_entropy_op.h#L43"><code class="docutils literal"><span class="pre">OnehotCrossEntropyOpKernel</span></code></a>.</p>
-<p>To ease the writing of <code class="docutils literal"><span class="pre">OpKernel</span></code> compute, and for reusing code cross-device, <code class="docutils literal"><span class="pre">Eigen</span> <span class="pre">unsupported</span> <span class="pre">Tensor</span></code> module is used to implement <code class="docutils literal"><span class="pre">Compute</span></code> interface. To learn about how the Eigen library is used in PaddlePaddle, please see <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/use_eigen_cn.md">usage document</a>.</p>
+<p>To ease the writing of <code class="docutils literal"><span class="pre">OpKernel</span></code> compute, and for reusing code cross-device, <a class="reference external" href="https://bitbucket.org/eigen/eigen/src/default/unsupported/Eigen/CXX11/src/Tensor/README.md?fileviewer=file-view-default"><code class="docutils literal"><span class="pre">Eigen-unsupported</span> <span class="pre">Tensor</span></code></a> module is used to implement <code class="docutils literal"><span class="pre">Compute</span></code> interface. To learn about how the Eigen library is used in PaddlePaddle, please see <a class="reference external" href="https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/use_eigen_cn.md">usage document</a>.</p>
 <p>This concludes the forward implementation of an operator. Next its operation and kernel need to be registered in a <code class="docutils literal"><span class="pre">.cc</span></code> file.</p>
 <p>The definition of its corresponding backward operator, if applicable, is similar to that of an forward operator. <strong>Note that a backward operator does not include a <code class="docutils literal"><span class="pre">ProtoMaker</span></code></strong>.</p>
 </div>