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| <p>definitions of I/O functions for mshadow tensor |
| <a href="#details">More...</a></p> |
| <div class="textblock"><code>#include "<a class="el" href="tensor_8h_source.html">./tensor.h</a>"</code><br /> |
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| <p><a href="3rdparty_2mshadow_2mshadow_2io_8h_source.html">Go to the source code of this file.</a></p> |
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| Classes</h2></td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classmshadow_1_1utils_1_1IStream.html">mshadow::utils::IStream</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">interface of stream I/O, used to serialize data, mshadow does not restricted to only this interface in SaveBinary/LoadBinary mshadow accept all class that implements Read and Write <a href="classmshadow_1_1utils_1_1IStream.html#details">More...</a><br /></td></tr> |
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| <tr class="memitem:namespacemshadow"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemshadow.html">mshadow</a></td></tr> |
| <tr class="memdesc:namespacemshadow"><td class="mdescLeft"> </td><td class="mdescRight">overloaded + operator between half_t and bf16_t <br /></td></tr> |
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| <tr class="memitem:namespacemshadow_1_1utils"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacemshadow_1_1utils.html">mshadow::utils</a></td></tr> |
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| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:ac4e8e743843b86f7a9c7cccec38f1303"><td class="memTemplParams" colspan="2">template<int dim, typename DType , typename TStream > </td></tr> |
| <tr class="memitem:ac4e8e743843b86f7a9c7cccec38f1303"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ac4e8e743843b86f7a9c7cccec38f1303">mshadow::SaveBinary</a> (TStream &fo, const Tensor< cpu, dim, DType > &src)</td></tr> |
| <tr class="memdesc:ac4e8e743843b86f7a9c7cccec38f1303"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: save a tensor by binary format, for GPU version, a temp Tensor<cpu,dim> storage will be allocated. <a href="namespacemshadow.html#ac4e8e743843b86f7a9c7cccec38f1303">More...</a><br /></td></tr> |
| <tr class="separator:ac4e8e743843b86f7a9c7cccec38f1303"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4274e2af051c35e9c31b1f3076f5523b"><td class="memTemplParams" colspan="2">template<int dim, typename DType , typename TStream > </td></tr> |
| <tr class="memitem:a4274e2af051c35e9c31b1f3076f5523b"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a4274e2af051c35e9c31b1f3076f5523b">mshadow::SaveBinary</a> (TStream &fo, const Tensor< gpu, dim, DType > &src)</td></tr> |
| <tr class="memdesc:a4274e2af051c35e9c31b1f3076f5523b"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: save a tensor by binary format, for GPU version, a temp Tensor<cpu,dim> storage will be allocated. <a href="namespacemshadow.html#a4274e2af051c35e9c31b1f3076f5523b">More...</a><br /></td></tr> |
| <tr class="separator:a4274e2af051c35e9c31b1f3076f5523b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad43315e17aadc0c14467dffb52401984"><td class="memTemplParams" colspan="2">template<int dim, typename DType , typename TStream > </td></tr> |
| <tr class="memitem:ad43315e17aadc0c14467dffb52401984"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ad43315e17aadc0c14467dffb52401984">mshadow::LoadBinary</a> (TStream &fi, Tensor< cpu, dim, DType > *dst, bool pre_alloc)</td></tr> |
| <tr class="memdesc:ad43315e17aadc0c14467dffb52401984"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: load a tensor by binary format, for GPU version, a temp Tensor<cpu,dim> storage will be allocated if pre_alloc is true , then space in dst is preallocated, and must have same shape of the tensor loaded if pre_alloc is false, then dst originally does not have space allocated, LoadBinary will allocate space for dst. <a href="namespacemshadow.html#ad43315e17aadc0c14467dffb52401984">More...</a><br /></td></tr> |
| <tr class="separator:ad43315e17aadc0c14467dffb52401984"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac005b1b19d8d8964918006dc8e95182d"><td class="memTemplParams" colspan="2">template<int dim, typename DType , typename TStream > </td></tr> |
| <tr class="memitem:ac005b1b19d8d8964918006dc8e95182d"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ac005b1b19d8d8964918006dc8e95182d">mshadow::LoadBinary</a> (TStream &fi, Tensor< gpu, dim, DType > *dst, bool pre_alloc)</td></tr> |
| <tr class="memdesc:ac005b1b19d8d8964918006dc8e95182d"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: load a tensor by binary format, for GPU version, a temp Tensor<cpu,dim> storage will be allocated if pre_alloc is true , then space in dst is preallocated, and must have same shape of the tensor loaded if pre_alloc is false, then dst originally does not have space allocated, LoadBinary will allocate space for dst. <a href="namespacemshadow.html#ac005b1b19d8d8964918006dc8e95182d">More...</a><br /></td></tr> |
| <tr class="separator:ac005b1b19d8d8964918006dc8e95182d"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>definitions of I/O functions for mshadow tensor </p> |
| <dl class="section author"><dt>Author</dt><dd>Tianqi Chen </dd></dl> |
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