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| <div class="title">tensor_cpu-inl.h File Reference</div> </div> |
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| |
| <p>implementation of CPU host code |
| <a href="#details">More...</a></p> |
| <div class="textblock"><code>#include <cstring></code><br /> |
| <code>#include <functional></code><br /> |
| <code>#include <utility></code><br /> |
| <code>#include <vector></code><br /> |
| <code>#include "<a class="el" href="3rdparty_2mshadow_2mshadow_2base_8h_source.html">./base.h</a>"</code><br /> |
| <code>#include "<a class="el" href="tensor_8h_source.html">./tensor.h</a>"</code><br /> |
| <code>#include "<a class="el" href="packet-inl_8h_source.html">./packet-inl.h</a>"</code><br /> |
| <code>#include "<a class="el" href="dot__engine-inl_8h_source.html">./dot_engine-inl.h</a>"</code><br /> |
| </div><div class="textblock"><div class="dynheader"> |
| Include dependency graph for tensor_cpu-inl.h:</div> |
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| <p><a href="tensor__cpu-inl_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">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structmshadow_1_1MapExpCPUEngine.html">mshadow::MapExpCPUEngine< pass_check, Saver, R, dim, DType, E, etype ></a></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structmshadow_1_1MapExpCPUEngine_3_01true_00_01SV_00_01Tensor_3_01cpu_00_01dim_00_01DType_01_4_01d6b33847e15ac0b561110aa3bff3f62.html">mshadow::MapExpCPUEngine< true, SV, Tensor< cpu, dim, DType >, dim, DType, E, etype ></a></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
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| <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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| Functions</h2></td></tr> |
| <tr class="memitem:a8c62e9096998333b078c8b8f744061ad"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a8c62e9096998333b078c8b8f744061ad"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a8c62e9096998333b078c8b8f744061ad">mshadow::InitTensorEngine< cpu ></a> (int dev_id)</td></tr> |
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| <tr class="memitem:a0884cf8a1d05a9d631cdf82ef3ebc567"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a0884cf8a1d05a9d631cdf82ef3ebc567"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a0884cf8a1d05a9d631cdf82ef3ebc567">mshadow::ShutdownTensorEngine< cpu ></a> (void)</td></tr> |
| <tr class="separator:a0884cf8a1d05a9d631cdf82ef3ebc567"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2f9d916c81866abceed494cd622cd3e2"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a2f9d916c81866abceed494cd622cd3e2"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a2f9d916c81866abceed494cd622cd3e2">mshadow::SetDevice< cpu ></a> (int devid)</td></tr> |
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| <tr class="memitem:ad46c65f82d888517bc8e372fd49d8011"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:ad46c65f82d888517bc8e372fd49d8011"><td class="memTemplItemLeft" align="right" valign="top">Stream< cpu > * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ad46c65f82d888517bc8e372fd49d8011">mshadow::NewStream< cpu ></a> (bool create_blas_handle, bool create_dnn_handle, int dev_id)</td></tr> |
| <tr class="separator:ad46c65f82d888517bc8e372fd49d8011"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9573b40e55fb2e885db8b594f4168efc"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a9573b40e55fb2e885db8b594f4168efc"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a9573b40e55fb2e885db8b594f4168efc">mshadow::DeleteStream< cpu ></a> (Stream< cpu > *stream)</td></tr> |
| <tr class="separator:a9573b40e55fb2e885db8b594f4168efc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a10717da9e107e05150e6fb6d79103b34"><td class="memTemplParams" colspan="2">template<int ndim> </td></tr> |
| <tr class="memitem:a10717da9e107e05150e6fb6d79103b34"><td class="memTemplItemLeft" align="right" valign="top">std::ostream & </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a10717da9e107e05150e6fb6d79103b34">mshadow::operator<<</a> (std::ostream &os, const Shape< ndim > &shape)</td></tr> |
| <tr class="memdesc:a10717da9e107e05150e6fb6d79103b34"><td class="mdescLeft"> </td><td class="mdescRight">allow string printing of the shape <a href="namespacemshadow.html#a10717da9e107e05150e6fb6d79103b34">More...</a><br /></td></tr> |
| <tr class="separator:a10717da9e107e05150e6fb6d79103b34"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1d4e86f18ce66c1b7073537647bd4374"><td class="memTemplParams" colspan="2">template<typename xpu > </td></tr> |
| <tr class="memitem:a1d4e86f18ce66c1b7073537647bd4374"><td class="memTemplItemLeft" align="right" valign="top">void * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a1d4e86f18ce66c1b7073537647bd4374">mshadow::AllocHost_</a> (size_t size)</td></tr> |
| <tr class="separator:a1d4e86f18ce66c1b7073537647bd4374"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4c3517f91f3bb35d9867fa7a42665ec3"><td class="memTemplParams" colspan="2">template<typename xpu > </td></tr> |
| <tr class="memitem:a4c3517f91f3bb35d9867fa7a42665ec3"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a4c3517f91f3bb35d9867fa7a42665ec3">mshadow::FreeHost_</a> (void *dptr)</td></tr> |
| <tr class="separator:a4c3517f91f3bb35d9867fa7a42665ec3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a750a8961eda58a98116726e462545e6c"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a750a8961eda58a98116726e462545e6c"><td class="memTemplItemLeft" align="right" valign="top">void * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a750a8961eda58a98116726e462545e6c">mshadow::AllocHost_< cpu ></a> (size_t size)</td></tr> |
| <tr class="separator:a750a8961eda58a98116726e462545e6c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a508edd8f1985757d0562b1e951666340"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a508edd8f1985757d0562b1e951666340"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a508edd8f1985757d0562b1e951666340">mshadow::FreeHost_< cpu ></a> (void *dptr)</td></tr> |
| <tr class="separator:a508edd8f1985757d0562b1e951666340"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad0eacae3492e97f53fcd2f210bf9c645"><td class="memTemplParams" colspan="2">template<typename xpu , int dim, typename DType > </td></tr> |
| <tr class="memitem:ad0eacae3492e97f53fcd2f210bf9c645"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ad0eacae3492e97f53fcd2f210bf9c645">mshadow::AllocHost</a> (Tensor< cpu, dim, DType > *obj)</td></tr> |
| <tr class="separator:ad0eacae3492e97f53fcd2f210bf9c645"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6dc5b2a49c44364a6f3c8cca386aff12"><td class="memTemplParams" colspan="2">template<typename xpu , int dim, typename DType > </td></tr> |
| <tr class="memitem:a6dc5b2a49c44364a6f3c8cca386aff12"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a6dc5b2a49c44364a6f3c8cca386aff12">mshadow::FreeHost</a> (Tensor< cpu, dim, DType > *obj)</td></tr> |
| <tr class="separator:a6dc5b2a49c44364a6f3c8cca386aff12"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aef49c3cef522198322017315341ac689"><td class="memTemplParams" colspan="2">template<int dim, typename DType > </td></tr> |
| <tr class="memitem:aef49c3cef522198322017315341ac689"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#aef49c3cef522198322017315341ac689">mshadow::AllocSpace</a> (Tensor< cpu, dim, DType > *obj, bool pad=<a class="el" href="3rdparty_2mshadow_2mshadow_2base_8h.html#a72d4e933c0003ccdc01b5d5f054dcf39">MSHADOW_ALLOC_PAD</a>)</td></tr> |
| <tr class="memdesc:aef49c3cef522198322017315341ac689"><td class="mdescLeft"> </td><td class="mdescRight">CPU/CPU: allocate space for CTensor, according to the shape in the obj this function is responsible to set the stride_ in each obj.shape. <a href="namespacemshadow.html#aef49c3cef522198322017315341ac689">More...</a><br /></td></tr> |
| <tr class="separator:aef49c3cef522198322017315341ac689"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3f19232d4c6ea393abccc5288675d345"><td class="memTemplParams" colspan="2">template<typename Device , typename DType , int dim> </td></tr> |
| <tr class="memitem:a3f19232d4c6ea393abccc5288675d345"><td class="memTemplItemLeft" align="right" valign="top">Tensor< Device, dim, DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a3f19232d4c6ea393abccc5288675d345">mshadow::NewTensor</a> (const Shape< dim > &shape, DType initv, bool pad=<a class="el" href="3rdparty_2mshadow_2mshadow_2base_8h.html#a72d4e933c0003ccdc01b5d5f054dcf39">MSHADOW_ALLOC_PAD</a>, Stream< Device > *stream=NULL)</td></tr> |
| <tr class="memdesc:a3f19232d4c6ea393abccc5288675d345"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: short cut to allocate and initialize a <a class="el" href="structmshadow_1_1Tensor.html" title="general tensor">Tensor</a>. <a href="namespacemshadow.html#a3f19232d4c6ea393abccc5288675d345">More...</a><br /></td></tr> |
| <tr class="separator:a3f19232d4c6ea393abccc5288675d345"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3e8485c882dab873525b4b241e5db7ab"><td class="memTemplParams" colspan="2">template<int dim, typename DType > </td></tr> |
| <tr class="memitem:a3e8485c882dab873525b4b241e5db7ab"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a3e8485c882dab873525b4b241e5db7ab">mshadow::FreeSpace</a> (Tensor< cpu, dim, DType > *obj)</td></tr> |
| <tr class="memdesc:a3e8485c882dab873525b4b241e5db7ab"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: free the space of tensor, will set obj.dptr to NULL. <a href="namespacemshadow.html#a3e8485c882dab873525b4b241e5db7ab">More...</a><br /></td></tr> |
| <tr class="separator:a3e8485c882dab873525b4b241e5db7ab"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0435f827863555e4ed19bbc0cc81fa39"><td class="memTemplParams" colspan="2">template<int dim, typename DType > </td></tr> |
| <tr class="memitem:a0435f827863555e4ed19bbc0cc81fa39"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a0435f827863555e4ed19bbc0cc81fa39">mshadow::Copy</a> (Tensor< cpu, dim, DType > dst, const Tensor< cpu, dim, DType > &src, Stream< cpu > *stream=NULL)</td></tr> |
| <tr class="memdesc:a0435f827863555e4ed19bbc0cc81fa39"><td class="mdescLeft"> </td><td class="mdescRight">copy data from one tensor to another, with same shape <a href="namespacemshadow.html#a0435f827863555e4ed19bbc0cc81fa39">More...</a><br /></td></tr> |
| <tr class="separator:a0435f827863555e4ed19bbc0cc81fa39"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad4d36332af8c5202ecc95adf4b00cdf2"><td class="memTemplParams" colspan="2">template<typename Saver , typename R , int dim, typename DType , typename E > </td></tr> |
| <tr class="memitem:ad4d36332af8c5202ecc95adf4b00cdf2"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ad4d36332af8c5202ecc95adf4b00cdf2">mshadow::MapPlan</a> (TRValue< R, cpu, dim, DType > *dst, const expr::Plan< E, DType > &plan)</td></tr> |
| <tr class="separator:ad4d36332af8c5202ecc95adf4b00cdf2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4bdc2c62fd5dcee696cadd2351bf85e2"><td class="memTemplParams" colspan="2">template<typename Saver , typename R , int dim, typename DType , typename E , int etype> </td></tr> |
| <tr class="memitem:a4bdc2c62fd5dcee696cadd2351bf85e2"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a4bdc2c62fd5dcee696cadd2351bf85e2">mshadow::MapExp</a> (TRValue< R, cpu, dim, DType > *dst, const expr::Exp< E, DType, etype > &exp)</td></tr> |
| <tr class="memdesc:a4bdc2c62fd5dcee696cadd2351bf85e2"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: map a expression to a tensor, this function calls MapPlan. <a href="namespacemshadow.html#a4bdc2c62fd5dcee696cadd2351bf85e2">More...</a><br /></td></tr> |
| <tr class="separator:a4bdc2c62fd5dcee696cadd2351bf85e2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae1734eb7939fe9627de46d62494fe9dc"><td class="memTemplParams" colspan="2">template<typename Saver , typename Reducer , typename R , typename DType , typename E , int etype> </td></tr> |
| <tr class="memitem:ae1734eb7939fe9627de46d62494fe9dc"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ae1734eb7939fe9627de46d62494fe9dc">mshadow::MapReduceKeepLowest</a> (TRValue< R, cpu, 1, DType > *dst, const expr::Exp< E, DType, etype > &exp, DType scale=1)</td></tr> |
| <tr class="memdesc:ae1734eb7939fe9627de46d62494fe9dc"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: map a expression, do reduction to 1D <a class="el" href="structmshadow_1_1Tensor.html" title="general tensor">Tensor</a> in lowest dimension (dimension 0) <a href="namespacemshadow.html#ae1734eb7939fe9627de46d62494fe9dc">More...</a><br /></td></tr> |
| <tr class="separator:ae1734eb7939fe9627de46d62494fe9dc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5fce5c2df842439cc7d2d7a90e2cf7d4"><td class="memTemplParams" colspan="2">template<typename Saver , typename Reducer , int dimkeep, typename R , typename DType , typename E , int etype> </td></tr> |
| <tr class="memitem:a5fce5c2df842439cc7d2d7a90e2cf7d4"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a5fce5c2df842439cc7d2d7a90e2cf7d4">mshadow::MapReduceKeepHighDim</a> (TRValue< R, cpu, 1, DType > *dst, const expr::Exp< E, DType, etype > &exp, DType scale=1)</td></tr> |
| <tr class="memdesc:a5fce5c2df842439cc7d2d7a90e2cf7d4"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: map a expression, do reduction to 1D <a class="el" href="structmshadow_1_1Tensor.html" title="general tensor">Tensor</a> in third dimension (dimension 2) <a href="namespacemshadow.html#a5fce5c2df842439cc7d2d7a90e2cf7d4">More...</a><br /></td></tr> |
| <tr class="separator:a5fce5c2df842439cc7d2d7a90e2cf7d4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a486ba25ad6f51106014450c1e745e767"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a486ba25ad6f51106014450c1e745e767"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a486ba25ad6f51106014450c1e745e767">mshadow::Softmax</a> (Tensor< cpu, 1, DType > dst, const Tensor< cpu, 1, DType > &energy)</td></tr> |
| <tr class="separator:a486ba25ad6f51106014450c1e745e767"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3409c8a836e7dab83bec25556164261c"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a3409c8a836e7dab83bec25556164261c"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a3409c8a836e7dab83bec25556164261c">mshadow::SoftmaxGrad</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 2, DType > &src, const Tensor< cpu, 1, DType > &label)</td></tr> |
| <tr class="memdesc:a3409c8a836e7dab83bec25556164261c"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: softmax gradient. <a href="namespacemshadow.html#a3409c8a836e7dab83bec25556164261c">More...</a><br /></td></tr> |
| <tr class="separator:a3409c8a836e7dab83bec25556164261c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4fb3739d11e671f9809458cf6ada1e64"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a4fb3739d11e671f9809458cf6ada1e64"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a4fb3739d11e671f9809458cf6ada1e64">mshadow::SmoothSoftmaxGrad</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 2, DType > &src, const Tensor< cpu, 1, DType > &label, const float alpha)</td></tr> |
| <tr class="separator:a4fb3739d11e671f9809458cf6ada1e64"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a97d3ff90dd86faf3c79c382591af5705"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a97d3ff90dd86faf3c79c382591af5705"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a97d3ff90dd86faf3c79c382591af5705">mshadow::SoftmaxGrad</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 2, DType > &src, const Tensor< cpu, 1, DType > &label, const DType &ignore_label)</td></tr> |
| <tr class="separator:a97d3ff90dd86faf3c79c382591af5705"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8ef141e66ac481f9da39b79eb282c12b"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a8ef141e66ac481f9da39b79eb282c12b"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a8ef141e66ac481f9da39b79eb282c12b">mshadow::SmoothSoftmaxGrad</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 2, DType > &src, const Tensor< cpu, 1, DType > &label, const DType &ignore_label, const float alpha)</td></tr> |
| <tr class="separator:a8ef141e66ac481f9da39b79eb282c12b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4aac2d8b75f24039748627bf7bafb6f5"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a4aac2d8b75f24039748627bf7bafb6f5"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a4aac2d8b75f24039748627bf7bafb6f5">mshadow::SoftmaxGrad</a> (Tensor< cpu, 3, DType > dst, const Tensor< cpu, 3, DType > &src, const Tensor< cpu, 2, DType > &label)</td></tr> |
| <tr class="separator:a4aac2d8b75f24039748627bf7bafb6f5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0166cbd7c6f70d858cfc1a030e8b5f69"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a0166cbd7c6f70d858cfc1a030e8b5f69"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a0166cbd7c6f70d858cfc1a030e8b5f69">mshadow::SmoothSoftmaxGrad</a> (Tensor< cpu, 3, DType > dst, const Tensor< cpu, 3, DType > &src, const Tensor< cpu, 2, DType > &label, const float alpha)</td></tr> |
| <tr class="separator:a0166cbd7c6f70d858cfc1a030e8b5f69"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8ed2e28641a53c3bb04442be23e52a6a"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a8ed2e28641a53c3bb04442be23e52a6a"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a8ed2e28641a53c3bb04442be23e52a6a">mshadow::SoftmaxGrad</a> (Tensor< cpu, 3, DType > dst, const Tensor< cpu, 3, DType > &src, const Tensor< cpu, 2, DType > &label, const DType &ignore_label)</td></tr> |
| <tr class="separator:a8ed2e28641a53c3bb04442be23e52a6a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2f0ff988f790390404f31fe2a68c8b1b"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a2f0ff988f790390404f31fe2a68c8b1b"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a2f0ff988f790390404f31fe2a68c8b1b">mshadow::SmoothSoftmaxGrad</a> (Tensor< cpu, 3, DType > dst, const Tensor< cpu, 3, DType > &src, const Tensor< cpu, 2, DType > &label, const DType &ignore_label, const float alpha)</td></tr> |
| <tr class="separator:a2f0ff988f790390404f31fe2a68c8b1b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a75161ef5ed964dcf6518e3a7e59e6fb6"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a75161ef5ed964dcf6518e3a7e59e6fb6"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a75161ef5ed964dcf6518e3a7e59e6fb6">mshadow::Softmax</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 2, DType > &energy)</td></tr> |
| <tr class="memdesc:a75161ef5ed964dcf6518e3a7e59e6fb6"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: normalize softmax: dst[i][j] = exp(energy[i][j]) /(sum_j exp(energy[i][j])) <a href="namespacemshadow.html#a75161ef5ed964dcf6518e3a7e59e6fb6">More...</a><br /></td></tr> |
| <tr class="separator:a75161ef5ed964dcf6518e3a7e59e6fb6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae1994dc1386e8430061c65b15e574430"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:ae1994dc1386e8430061c65b15e574430"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ae1994dc1386e8430061c65b15e574430">mshadow::Softmax</a> (Tensor< cpu, 3, DType > dst, const Tensor< cpu, 3, DType > &energy)</td></tr> |
| <tr class="separator:ae1994dc1386e8430061c65b15e574430"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a802d44c652195053e87b63881c7d4d1c"><td class="memTemplParams" colspan="2">template<bool clip = true, typename IndexType , typename DType > </td></tr> |
| <tr class="memitem:a802d44c652195053e87b63881c7d4d1c"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a802d44c652195053e87b63881c7d4d1c">mshadow::AddTakeGrad</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 1, IndexType > &index, const Tensor< cpu, 2, DType > &src)</td></tr> |
| <tr class="memdesc:a802d44c652195053e87b63881c7d4d1c"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: Gradient accumulate of embedding matrix. dst[index[i]] += src[i] Called when the featuredim of src is much larger than the batchsize. <a href="namespacemshadow.html#a802d44c652195053e87b63881c7d4d1c">More...</a><br /></td></tr> |
| <tr class="separator:a802d44c652195053e87b63881c7d4d1c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a04bcdad0b4a5ada232907f8a80c9dd89"><td class="memTemplParams" colspan="2">template<bool clip = true, typename IndexType , typename DType , typename AType > </td></tr> |
| <tr class="memitem:a04bcdad0b4a5ada232907f8a80c9dd89"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a04bcdad0b4a5ada232907f8a80c9dd89">mshadow::AddTakeGrad</a> (Tensor< cpu, 2, DType > dst, Tensor< cpu, 2, AType > temp, const Tensor< cpu, 1, IndexType > &index, const Tensor< cpu, 2, DType > &src)</td></tr> |
| <tr class="memdesc:a04bcdad0b4a5ada232907f8a80c9dd89"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: Gradient accumulate of embedding matrix. dst[index[i]] += src[i] Called when the featuredim of src is much larger than the batchsize. <a href="namespacemshadow.html#a04bcdad0b4a5ada232907f8a80c9dd89">More...</a><br /></td></tr> |
| <tr class="separator:a04bcdad0b4a5ada232907f8a80c9dd89"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad2320213151030353ae90f92a0da808d"><td class="memTemplParams" colspan="2">template<typename IndexType , typename DType > </td></tr> |
| <tr class="memitem:ad2320213151030353ae90f92a0da808d"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ad2320213151030353ae90f92a0da808d">mshadow::AddTakeGradLargeBatch</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 1, IndexType > &sorted, const Tensor< cpu, 1, IndexType > &index, const Tensor< cpu, 2, DType > &src)</td></tr> |
| <tr class="memdesc:ad2320213151030353ae90f92a0da808d"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: Gradient accumulate of embedding matrix with safe accumulation. dst[index[i]] += src[i]. <a href="namespacemshadow.html#ad2320213151030353ae90f92a0da808d">More...</a><br /></td></tr> |
| <tr class="separator:ad2320213151030353ae90f92a0da808d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a77348ebaaac4581773b4fe78448c8fa6"><td class="memTemplParams" colspan="2">template<typename IndexType , typename DType > </td></tr> |
| <tr class="memitem:a77348ebaaac4581773b4fe78448c8fa6"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a77348ebaaac4581773b4fe78448c8fa6">mshadow::IndexFill</a> (Tensor< cpu, 2, DType > dst, const Tensor< cpu, 1, IndexType > &index, const Tensor< cpu, 2, DType > &src)</td></tr> |
| <tr class="memdesc:a77348ebaaac4581773b4fe78448c8fa6"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: Fill the values of the destination matrix to specific rows in the source matrix. dst[index[i]] = src[i] Will use atomicAdd in the inner implementation and the result may not be deterministic. <a href="namespacemshadow.html#a77348ebaaac4581773b4fe78448c8fa6">More...</a><br /></td></tr> |
| <tr class="separator:a77348ebaaac4581773b4fe78448c8fa6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3476fdf7d39add6f57beddafbc1b9625"><td class="memTemplParams" colspan="2">template<typename KDType , typename VDType > </td></tr> |
| <tr class="memitem:a3476fdf7d39add6f57beddafbc1b9625"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a3476fdf7d39add6f57beddafbc1b9625">mshadow::SortByKey</a> (Tensor< cpu, 1, KDType > keys, Tensor< cpu, 1, VDType > values, bool is_ascend=true)</td></tr> |
| <tr class="memdesc:a3476fdf7d39add6f57beddafbc1b9625"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: Sort key-value pairs stored in separate places. (Stable sort is performed!) <a href="namespacemshadow.html#a3476fdf7d39add6f57beddafbc1b9625">More...</a><br /></td></tr> |
| <tr class="separator:a3476fdf7d39add6f57beddafbc1b9625"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab3f080439f035e05501cc7f202e58c0e"><td class="memTemplParams" colspan="2">template<typename Device , typename VDType , typename SDType > </td></tr> |
| <tr class="memitem:ab3f080439f035e05501cc7f202e58c0e"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ab3f080439f035e05501cc7f202e58c0e">mshadow::VectorizedSort</a> (Tensor< Device, 1, VDType > values, Tensor< Device, 1, SDType > segments)</td></tr> |
| <tr class="memdesc:ab3f080439f035e05501cc7f202e58c0e"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: Sort the keys within each segment. (Stable sort is performed!) Segments is defined as an ascending ordered vector like [0, 0, 0, 1, 1, 2, 3, 3, 3,...] We sort separately the keys labeled by 0 and 1, 2, 3, etc. Currently only supports sorting in ascending order !! <a href="namespacemshadow.html#ab3f080439f035e05501cc7f202e58c0e">More...</a><br /></td></tr> |
| <tr class="separator:ab3f080439f035e05501cc7f202e58c0e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad4c4674a33dfb486802427058375a055"><td class="memTemplParams" colspan="2">template<typename Device , typename DType > </td></tr> |
| <tr class="memitem:ad4c4674a33dfb486802427058375a055"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#ad4c4674a33dfb486802427058375a055">mshadow::VectorDot</a> (Tensor< Device, 1, DType > dst, const Tensor< Device, 1, DType > &lhs, const Tensor< Device, 1, DType > &rhs)</td></tr> |
| <tr class="memdesc:ad4c4674a33dfb486802427058375a055"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: 1 dimension vector dot. <a href="namespacemshadow.html#ad4c4674a33dfb486802427058375a055">More...</a><br /></td></tr> |
| <tr class="separator:ad4c4674a33dfb486802427058375a055"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7e8013bf71472e4f424bcdeb06580370"><td class="memTemplParams" colspan="2">template<bool transpose_left, bool transpose_right, typename Device , typename DType > </td></tr> |
| <tr class="memitem:a7e8013bf71472e4f424bcdeb06580370"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacemshadow.html#a7e8013bf71472e4f424bcdeb06580370">mshadow::BatchGEMM</a> (Tensor< Device, 3, DType > dst, const Tensor< Device, 3, DType > &lhs, const Tensor< Device, 3, DType > &rhs, DType alpha, DType beta, Tensor< Device, 1, DType * > workspace)</td></tr> |
| <tr class="memdesc:a7e8013bf71472e4f424bcdeb06580370"><td class="mdescLeft"> </td><td class="mdescRight">CPU/GPU: dst = alpha * op(lhs) op(rhs) + beta * dst. <a href="namespacemshadow.html#a7e8013bf71472e4f424bcdeb06580370">More...</a><br /></td></tr> |
| <tr class="separator:a7e8013bf71472e4f424bcdeb06580370"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>implementation of CPU host code </p> |
| <dl class="section author"><dt>Author</dt><dd>Bing Xu, Tianqi Chen </dd></dl> |
| </div></div><!-- contents --> |
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