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<li class="navelem"><a class="el" href="namespacemxnet.html">mxnet</a></li><li class="navelem"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a></li> </ul>
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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-attribs">Public Attributes</a> &#124;
<a href="#friends">Friends</a> &#124;
<a href="classmxnet_1_1TBlob-members.html">List of all members</a> </div>
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<div class="title">mxnet::TBlob Class Reference</div> </div>
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<p>tensor blob class that can be used to hold tensor of any dimension, any device and any data type, This is a weak type that can be used to transfer data through interface <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> itself doesn't involve any arithmetic operations, but it can be converted to tensor of fixed dimension for further operations
<a href="classmxnet_1_1TBlob.html#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="tensor__blob_8h_source.html">tensor_blob.h</a>&gt;</code></p>
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Collaboration diagram for mxnet::TBlob:</div>
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<div class="center"><img src="classmxnet_1_1TBlob__coll__graph.png" border="0" usemap="#mxnet_1_1TBlob_coll__map" alt="Collaboration graph"/></div>
<map name="mxnet_1_1TBlob_coll__map" id="mxnet_1_1TBlob_coll__map">
<area shape="rect" id="node2" href="classmxnet_1_1TShape.html" title="A Shape class that is used to represent shape of each tensor. " alt="" coords="35,352,155,605"/>
<area shape="rect" id="node3" href="classmxnet_1_1Tuple.html" title="{mxnet::Tuple\&lt; dim_t \&gt;\n|# ndim_\l# num_heap_allocated_\l# data_stack_\l# data_heap_\l# kStackCache\l|+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ Tuple()\l+ ~Tuple()\l+ assign()\land 17 more...\l# SetDim()\l}" alt="" coords="5,5,184,303"/>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:adcdc6de67f81454f0a142bfc9fd38c9e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#adcdc6de67f81454f0a142bfc9fd38c9e">TBlob</a> (void)</td></tr>
<tr class="memdesc:adcdc6de67f81454f0a142bfc9fd38c9e"><td class="mdescLeft">&#160;</td><td class="mdescRight">default constructor, default copy assign will work <a href="#adcdc6de67f81454f0a142bfc9fd38c9e">More...</a><br /></td></tr>
<tr class="separator:adcdc6de67f81454f0a142bfc9fd38c9e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae2bc6bbce5faf2c99d3b0ea462a3fcfa"><td class="memTemplParams" colspan="2">template&lt;typename DType &gt; </td></tr>
<tr class="memitem:ae2bc6bbce5faf2c99d3b0ea462a3fcfa"><td class="memTemplItemLeft" align="right" valign="top">&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ae2bc6bbce5faf2c99d3b0ea462a3fcfa">TBlob</a> (DType *<a class="el" href="classmxnet_1_1TBlob.html#ad931186405f2b40a327278a8f5ff57cd">dptr</a>, const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;shape, int <a class="el" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a>, int <a class="el" href="classmxnet_1_1TBlob.html#a2caa6723ffda5908eb5c2e062ac77ebd">dev_id</a>=-1)</td></tr>
<tr class="memdesc:ae2bc6bbce5faf2c99d3b0ea462a3fcfa"><td class="mdescLeft">&#160;</td><td class="mdescRight">constructor that construct <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> from contiguous memory <a href="#ae2bc6bbce5faf2c99d3b0ea462a3fcfa">More...</a><br /></td></tr>
<tr class="separator:ae2bc6bbce5faf2c99d3b0ea462a3fcfa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a31c0750cf2642b68af00c00029c99967"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a31c0750cf2642b68af00c00029c99967">TBlob</a> (void *<a class="el" href="classmxnet_1_1TBlob.html#ad931186405f2b40a327278a8f5ff57cd">dptr</a>, const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;shape, int <a class="el" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a>, int type_flag, int <a class="el" href="classmxnet_1_1TBlob.html#a2caa6723ffda5908eb5c2e062ac77ebd">dev_id</a>=-1)</td></tr>
<tr class="memdesc:a31c0750cf2642b68af00c00029c99967"><td class="mdescLeft">&#160;</td><td class="mdescRight">constructor that construct <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> from contiguous memory <a href="#a31c0750cf2642b68af00c00029c99967">More...</a><br /></td></tr>
<tr class="separator:a31c0750cf2642b68af00c00029c99967"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a44594fd9712fb19061db95a070c46000"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a44594fd9712fb19061db95a070c46000">TBlob</a> (const <a class="el" href="structDLTensor.html">DLTensor</a> &amp;<a class="el" href="classmxnet_1_1TBlob.html#a4b0a53821dec20c558a030ed3df14dda">dltensor</a>)</td></tr>
<tr class="memdesc:a44594fd9712fb19061db95a070c46000"><td class="mdescLeft">&#160;</td><td class="mdescRight">constructor that construct <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> from <a class="el" href="structDLTensor.html" title="Plain C Tensor object, does not manage memory. ">DLTensor</a> <a href="#a44594fd9712fb19061db95a070c46000">More...</a><br /></td></tr>
<tr class="separator:a44594fd9712fb19061db95a070c46000"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aae92a89345aad79c8c3b451b9e3b84a5"><td class="memTemplParams" colspan="2">template&lt;typename Device , int dim, typename DType &gt; </td></tr>
<tr class="memitem:aae92a89345aad79c8c3b451b9e3b84a5"><td class="memTemplItemLeft" align="right" valign="top">&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#aae92a89345aad79c8c3b451b9e3b84a5">TBlob</a> (const <a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt; &amp;src)</td></tr>
<tr class="memdesc:aae92a89345aad79c8c3b451b9e3b84a5"><td class="mdescLeft">&#160;</td><td class="mdescRight">constructor from tensor <a href="#aae92a89345aad79c8c3b451b9e3b84a5">More...</a><br /></td></tr>
<tr class="separator:aae92a89345aad79c8c3b451b9e3b84a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac64b2d46ddd92bf972a4e5b49afbf325"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ac64b2d46ddd92bf972a4e5b49afbf325">TBlob</a> (const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;src)</td></tr>
<tr class="memdesc:ac64b2d46ddd92bf972a4e5b49afbf325"><td class="mdescLeft">&#160;</td><td class="mdescRight">constructor from <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> (copy constructor) <a href="#ac64b2d46ddd92bf972a4e5b49afbf325">More...</a><br /></td></tr>
<tr class="separator:ac64b2d46ddd92bf972a4e5b49afbf325"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad3263d9d1ef40678cd592be822d1c7be"><td class="memTemplParams" colspan="2">template&lt;typename Device , int dim, typename DType &gt; </td></tr>
<tr class="memitem:ad3263d9d1ef40678cd592be822d1c7be"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad3263d9d1ef40678cd592be822d1c7be">operator=</a> (const <a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt; &amp;src)</td></tr>
<tr class="memdesc:ad3263d9d1ef40678cd592be822d1c7be"><td class="mdescLeft">&#160;</td><td class="mdescRight">assignment from tensor <a href="#ad3263d9d1ef40678cd592be822d1c7be">More...</a><br /></td></tr>
<tr class="separator:ad3263d9d1ef40678cd592be822d1c7be"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7971ef6867cd7c94ee32de023f8dbe23"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a7971ef6867cd7c94ee32de023f8dbe23">operator=</a> (const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;src)</td></tr>
<tr class="memdesc:a7971ef6867cd7c94ee32de023f8dbe23"><td class="mdescLeft">&#160;</td><td class="mdescRight">assignment from <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> (copy assignment) <a href="#a7971ef6867cd7c94ee32de023f8dbe23">More...</a><br /></td></tr>
<tr class="separator:a7971ef6867cd7c94ee32de023f8dbe23"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac3abff8bace8f3afb3143d85551a18ac"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ac3abff8bace8f3afb3143d85551a18ac">CheckContiguous</a> (void) const</td></tr>
<tr class="separator:ac3abff8bace8f3afb3143d85551a18ac"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a10111644a1abe2035ec3e869187847dc"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a10111644a1abe2035ec3e869187847dc">reshape</a> (const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;shape) const</td></tr>
<tr class="memdesc:a10111644a1abe2035ec3e869187847dc"><td class="mdescLeft">&#160;</td><td class="mdescRight">reshape to shape <a href="#a10111644a1abe2035ec3e869187847dc">More...</a><br /></td></tr>
<tr class="separator:a10111644a1abe2035ec3e869187847dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9bb2615c144e237afea3875e618527d4"><td class="memTemplParams" colspan="2">template&lt;typename Device , typename DType &gt; </td></tr>
<tr class="memitem:a9bb2615c144e237afea3875e618527d4"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, 2, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a9bb2615c144e237afea3875e618527d4">FlatTo2D</a> (<a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:a9bb2615c144e237afea3875e618527d4"><td class="mdescLeft">&#160;</td><td class="mdescRight">flatten the tensor to 2 dimension, collapse the higher dimensions together <a href="#a9bb2615c144e237afea3875e618527d4">More...</a><br /></td></tr>
<tr class="separator:a9bb2615c144e237afea3875e618527d4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af220608e394f02ad3739ac048757175b"><td class="memTemplParams" colspan="2">template&lt;typename Device , typename DType &gt; </td></tr>
<tr class="memitem:af220608e394f02ad3739ac048757175b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, 1, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#af220608e394f02ad3739ac048757175b">FlatTo1D</a> (<a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:af220608e394f02ad3739ac048757175b"><td class="mdescLeft">&#160;</td><td class="mdescRight">flatten the tensor to 1 dimension, collapse all the dimensions together. <a href="#af220608e394f02ad3739ac048757175b">More...</a><br /></td></tr>
<tr class="separator:af220608e394f02ad3739ac048757175b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a77a8929e46d06e5d6a0026bcc9e48851"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a77a8929e46d06e5d6a0026bcc9e48851">ndim</a> (void) const</td></tr>
<tr class="memdesc:a77a8929e46d06e5d6a0026bcc9e48851"><td class="mdescLeft">&#160;</td><td class="mdescRight">return number of dimension of the tensor inside <a href="#a77a8929e46d06e5d6a0026bcc9e48851">More...</a><br /></td></tr>
<tr class="separator:a77a8929e46d06e5d6a0026bcc9e48851"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a44c93b8a96203a1a85fa9d4b85e123c7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a44c93b8a96203a1a85fa9d4b85e123c7">size</a> (<a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> idx) const</td></tr>
<tr class="memdesc:a44c93b8a96203a1a85fa9d4b85e123c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">return size of i-th dimension, start counting from highest dimension. return type needs to be a signed integer. <a href="#a44c93b8a96203a1a85fa9d4b85e123c7">More...</a><br /></td></tr>
<tr class="separator:a44c93b8a96203a1a85fa9d4b85e123c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa676224250ad5299e1b914da556cdc8d"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#aa676224250ad5299e1b914da556cdc8d">Size</a> (void) const</td></tr>
<tr class="memdesc:aa676224250ad5299e1b914da556cdc8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">total number of elements in the tensor <a href="#aa676224250ad5299e1b914da556cdc8d">More...</a><br /></td></tr>
<tr class="separator:aa676224250ad5299e1b914da556cdc8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad931186405f2b40a327278a8f5ff57cd"><td class="memTemplParams" colspan="2">template&lt;typename DType &gt; </td></tr>
<tr class="memitem:ad931186405f2b40a327278a8f5ff57cd"><td class="memTemplItemLeft" align="right" valign="top">DType *&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad931186405f2b40a327278a8f5ff57cd">dptr</a> () const</td></tr>
<tr class="memdesc:ad931186405f2b40a327278a8f5ff57cd"><td class="mdescLeft">&#160;</td><td class="mdescRight">get pointer in dtype <a href="#ad931186405f2b40a327278a8f5ff57cd">More...</a><br /></td></tr>
<tr class="separator:ad931186405f2b40a327278a8f5ff57cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad8bcf56e13082fc0607e21f08b14758f"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad8bcf56e13082fc0607e21f08b14758f">dev_mask</a> () const</td></tr>
<tr class="memdesc:ad8bcf56e13082fc0607e21f08b14758f"><td class="mdescLeft">&#160;</td><td class="mdescRight">device mask of the corresponding device <a href="#ad8bcf56e13082fc0607e21f08b14758f">More...</a><br /></td></tr>
<tr class="separator:ad8bcf56e13082fc0607e21f08b14758f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2caa6723ffda5908eb5c2e062ac77ebd"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a2caa6723ffda5908eb5c2e062ac77ebd">dev_id</a> () const</td></tr>
<tr class="memdesc:a2caa6723ffda5908eb5c2e062ac77ebd"><td class="mdescLeft">&#160;</td><td class="mdescRight">device index of the corresponding device <a href="#a2caa6723ffda5908eb5c2e062ac77ebd">More...</a><br /></td></tr>
<tr class="separator:a2caa6723ffda5908eb5c2e062ac77ebd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4b0a53821dec20c558a030ed3df14dda"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structDLTensor.html">DLTensor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a4b0a53821dec20c558a030ed3df14dda">dltensor</a> () const</td></tr>
<tr class="memdesc:a4b0a53821dec20c558a030ed3df14dda"><td class="mdescLeft">&#160;</td><td class="mdescRight">return the corresponding <a class="el" href="structDLTensor.html" title="Plain C Tensor object, does not manage memory. ">DLTensor</a> <a href="#a4b0a53821dec20c558a030ed3df14dda">More...</a><br /></td></tr>
<tr class="separator:a4b0a53821dec20c558a030ed3df14dda"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af38cdc5d0bcce77bb4f96251167cd7a0"><td class="memTemplParams" colspan="2">template&lt;typename Device , int dim, typename DType &gt; </td></tr>
<tr class="memitem:af38cdc5d0bcce77bb4f96251167cd7a0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#af38cdc5d0bcce77bb4f96251167cd7a0">get</a> (<a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:af38cdc5d0bcce77bb4f96251167cd7a0"><td class="mdescLeft">&#160;</td><td class="mdescRight">fetch the tensor, with respect to specific dimension if dim do not match the stored dimension, an error will be issued <a href="#af38cdc5d0bcce77bb4f96251167cd7a0">More...</a><br /></td></tr>
<tr class="separator:af38cdc5d0bcce77bb4f96251167cd7a0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad17880c664c448bb159b356e0c2b875c"><td class="memTemplParams" colspan="2">template&lt;typename Device , int dim, typename DType &gt; </td></tr>
<tr class="memitem:ad17880c664c448bb159b356e0c2b875c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad17880c664c448bb159b356e0c2b875c">get_with_shape</a> (const <a class="el" href="structmshadow_1_1Shape.html">mshadow::Shape</a>&lt; dim &gt; &amp;shape, <a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:ad17880c664c448bb159b356e0c2b875c"><td class="mdescLeft">&#160;</td><td class="mdescRight">fetch a tensor in given shape If size do not match the stored size, an error will be issued <a href="#ad17880c664c448bb159b356e0c2b875c">More...</a><br /></td></tr>
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<tr class="memitem:a0d051bba948b8a69a9d1d2690fad7400"><td class="memTemplParams" colspan="2">template&lt;typename Device , typename DType &gt; </td></tr>
<tr class="memitem:a0d051bba948b8a69a9d1d2690fad7400"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, 3, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a0d051bba948b8a69a9d1d2690fad7400">FlatTo3D</a> (int axis, <a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:a0d051bba948b8a69a9d1d2690fad7400"><td class="mdescLeft">&#160;</td><td class="mdescRight">flatten the tensor to 3 dimension, collapse the dimension before and after specified axis. <a href="#a0d051bba948b8a69a9d1d2690fad7400">More...</a><br /></td></tr>
<tr class="separator:a0d051bba948b8a69a9d1d2690fad7400"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a684ef7a1354dc47b808ef54cfecf81b7"><td class="memTemplParams" colspan="2">template&lt;typename Device , typename DType &gt; </td></tr>
<tr class="memitem:a684ef7a1354dc47b808ef54cfecf81b7"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, 3, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a684ef7a1354dc47b808ef54cfecf81b7">FlatTo3D</a> (int axis_begin, int axis_end, <a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:a684ef7a1354dc47b808ef54cfecf81b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">flatten the tensor to 3 dimension, collapse the dimension: [0, axis_begin), [axis_begin, axis_end], (axis_end, ndim). <a href="#a684ef7a1354dc47b808ef54cfecf81b7">More...</a><br /></td></tr>
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<tr class="memitem:a765ee89940e22fcf1cb24e8048da95e2"><td class="memTemplParams" colspan="2">template&lt;typename Device , int dim, typename DType &gt; </td></tr>
<tr class="memitem:a765ee89940e22fcf1cb24e8048da95e2"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a765ee89940e22fcf1cb24e8048da95e2">FlatToKD</a> (<a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *stream=nullptr) const</td></tr>
<tr class="memdesc:a765ee89940e22fcf1cb24e8048da95e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">flatten the tensor to specified number of dimensions, collapse the highest dimensions or pad with higher dimensions <a href="#a765ee89940e22fcf1cb24e8048da95e2">More...</a><br /></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:a4e5f4953be2c16724ecff0afc5ea2e10"><td class="memItemLeft" align="right" valign="top">void *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a></td></tr>
<tr class="memdesc:a4e5f4953be2c16724ecff0afc5ea2e10"><td class="mdescLeft">&#160;</td><td class="mdescRight">pointer to the data <a href="#a4e5f4953be2c16724ecff0afc5ea2e10">More...</a><br /></td></tr>
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<tr class="memitem:af0e813ff066c775051d1f1f78a4a2029"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#af0e813ff066c775051d1f1f78a4a2029">shape_</a></td></tr>
<tr class="memdesc:af0e813ff066c775051d1f1f78a4a2029"><td class="mdescLeft">&#160;</td><td class="mdescRight">shape of the tensor <a href="#af0e813ff066c775051d1f1f78a4a2029">More...</a><br /></td></tr>
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<tr class="memitem:a4649b740b80a6045754cb2389cfcca61"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">type_flag_</a></td></tr>
<tr class="memdesc:a4649b740b80a6045754cb2389cfcca61"><td class="mdescLeft">&#160;</td><td class="mdescRight">type flag of the tensor blob <a href="#a4649b740b80a6045754cb2389cfcca61">More...</a><br /></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="friends"></a>
Friends</h2></td></tr>
<tr class="memitem:ad41557e205cf8f4d6ef70b60587c37cb"><td class="memItemLeft" align="right" valign="top">class&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad41557e205cf8f4d6ef70b60587c37cb">NDArray</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>tensor blob class that can be used to hold tensor of any dimension, any device and any data type, This is a weak type that can be used to transfer data through interface <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> itself doesn't involve any arithmetic operations, but it can be converted to tensor of fixed dimension for further operations </p>
<p>Like tensor, this data structure is like a pointer class and do not implicit allocated, de-allocate space. This data structure can be helpful to hold tensors of different dimensions and wait for further processing </p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="adcdc6de67f81454f0a142bfc9fd38c9e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#adcdc6de67f81454f0a142bfc9fd38c9e">&#9670;&nbsp;</a></span>TBlob() <span class="overload">[1/6]</span></h2>
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<td>(</td>
<td class="paramtype">void&#160;</td>
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<p>default constructor, default copy assign will work </p>
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<h2 class="memtitle"><span class="permalink"><a href="#ae2bc6bbce5faf2c99d3b0ea462a3fcfa">&#9670;&nbsp;</a></span>TBlob() <span class="overload">[2/6]</span></h2>
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<td class="paramtype">DType *&#160;</td>
<td class="paramname"><em>dptr</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;&#160;</td>
<td class="paramname"><em>shape</em>, </td>
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<td class="paramtype">int&#160;</td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dev_id</em> = <code>-1</code>&#160;</td>
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<p>constructor that construct <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> from contiguous memory </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">dptr</td><td>the pointer to the memory </td></tr>
<tr><td class="paramname">shape</td><td>the shape of the data </td></tr>
<tr><td class="paramname">dev_mask</td><td>the device mask, can be <a class="el" href="structmshadow_1_1cpu.html#a57f74b500825e21c0c246ad5b4e5016b" title="device flag number, identifies this device ">cpu::kDevMask</a> or <a class="el" href="structmshadow_1_1gpu.html#a15467f39ddeed96fa259efda7c988f05" title="device flag number, identifies this device ">gpu::kDevMask</a> </td></tr>
<tr><td class="paramname">dev_id</td><td>the device id </td></tr>
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</dd>
</dl>
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<a id="a31c0750cf2642b68af00c00029c99967"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a31c0750cf2642b68af00c00029c99967">&#9670;&nbsp;</a></span>TBlob() <span class="overload">[3/6]</span></h2>
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<td class="paramtype">void *&#160;</td>
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<td class="paramname"><em>shape</em>, </td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>type_flag</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dev_id</em> = <code>-1</code>&#160;</td>
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<td></td>
<td>)</td>
<td></td><td></td>
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<p>constructor that construct <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> from contiguous memory </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">dptr</td><td>the pointer to the memory </td></tr>
<tr><td class="paramname">shape</td><td>the shape of the data </td></tr>
<tr><td class="paramname">dev_mask</td><td>the device mask, can be <a class="el" href="structmshadow_1_1cpu.html#a57f74b500825e21c0c246ad5b4e5016b" title="device flag number, identifies this device ">cpu::kDevMask</a> or <a class="el" href="structmshadow_1_1gpu.html#a15467f39ddeed96fa259efda7c988f05" title="device flag number, identifies this device ">gpu::kDevMask</a> </td></tr>
<tr><td class="paramname">type_flag</td><td>the type flag. Can be one of enum mshadow::dtype </td></tr>
<tr><td class="paramname">dev_id</td><td>the device id </td></tr>
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</dd>
</dl>
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<a id="a44594fd9712fb19061db95a070c46000"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a44594fd9712fb19061db95a070c46000">&#9670;&nbsp;</a></span>TBlob() <span class="overload">[4/6]</span></h2>
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<td>(</td>
<td class="paramtype">const <a class="el" href="structDLTensor.html">DLTensor</a> &amp;&#160;</td>
<td class="paramname"><em>dltensor</em></td><td>)</td>
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<p>constructor that construct <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> from <a class="el" href="structDLTensor.html" title="Plain C Tensor object, does not manage memory. ">DLTensor</a> </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname"><a class="el" href="structDLTensor.html" title="Plain C Tensor object, does not manage memory. ">DLTensor</a></td><td>Object </td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#aae92a89345aad79c8c3b451b9e3b84a5">&#9670;&nbsp;</a></span>TBlob() <span class="overload">[5/6]</span></h2>
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template&lt;typename Device , int dim, typename DType &gt; </div>
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<td class="paramtype">const <a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt; &amp;&#160;</td>
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<p>constructor from tensor </p>
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<tr><td class="paramname">src</td><td>source tensor </td></tr>
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<dl class="tparams"><dt>Template Parameters</dt><dd>
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<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">dim</td><td>tensor dimension </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
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<h2 class="memtitle"><span class="permalink"><a href="#ac64b2d46ddd92bf972a4e5b49afbf325">&#9670;&nbsp;</a></span>TBlob() <span class="overload">[6/6]</span></h2>
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<td>(</td>
<td class="paramtype">const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;&#160;</td>
<td class="paramname"><em>src</em></td><td>)</td>
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<p>constructor from <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> (copy constructor) </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">src</td><td>source <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> </td></tr>
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</dd>
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<h2 class="groupheader">Member Function Documentation</h2>
<a id="ac3abff8bace8f3afb3143d85551a18ac"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac3abff8bace8f3afb3143d85551a18ac">&#9670;&nbsp;</a></span>CheckContiguous()</h2>
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<dl class="section return"><dt>Returns</dt><dd>whether the tensor's memory is continuous </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a2caa6723ffda5908eb5c2e062ac77ebd">&#9670;&nbsp;</a></span>dev_id()</h2>
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<p>device index of the corresponding device </p>
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<h2 class="memtitle"><span class="permalink"><a href="#ad8bcf56e13082fc0607e21f08b14758f">&#9670;&nbsp;</a></span>dev_mask()</h2>
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<td class="memname">int mxnet::TBlob::dev_mask </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td> const</td>
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<p>device mask of the corresponding device </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a4b0a53821dec20c558a030ed3df14dda">&#9670;&nbsp;</a></span>dltensor()</h2>
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<td class="memname">const <a class="el" href="structDLTensor.html">DLTensor</a>&amp; mxnet::TBlob::dltensor </td>
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<td class="paramname"></td><td>)</td>
<td> const</td>
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<p>return the corresponding <a class="el" href="structDLTensor.html" title="Plain C Tensor object, does not manage memory. ">DLTensor</a> </p>
<dl class="section return"><dt>Returns</dt><dd>the address of internal <a class="el" href="structDLTensor.html" title="Plain C Tensor object, does not manage memory. ">DLTensor</a> </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#ad931186405f2b40a327278a8f5ff57cd">&#9670;&nbsp;</a></span>dptr()</h2>
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<td class="memname">DType* mxnet::TBlob::dptr </td>
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<td class="paramname"></td><td>)</td>
<td> const</td>
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<p>get pointer in dtype </p>
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<h2 class="memtitle"><span class="permalink"><a href="#af220608e394f02ad3739ac048757175b">&#9670;&nbsp;</a></span>FlatTo1D()</h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, 1, DType&gt; mxnet::TBlob::FlatTo1D </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *&#160;</td>
<td class="paramname"><em>stream</em> = <code>nullptr</code></td><td>)</td>
<td> const</td>
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<p>flatten the tensor to 1 dimension, collapse all the dimensions together. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>tensor after flatten </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a9bb2615c144e237afea3875e618527d4">&#9670;&nbsp;</a></span>FlatTo2D()</h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, 2, DType&gt; mxnet::TBlob::FlatTo2D </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *&#160;</td>
<td class="paramname"><em>stream</em> = <code>nullptr</code></td><td>)</td>
<td> const</td>
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<p>flatten the tensor to 2 dimension, collapse the higher dimensions together </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>tensor after flatten </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#a0d051bba948b8a69a9d1d2690fad7400">&#9670;&nbsp;</a></span>FlatTo3D() <span class="overload">[1/2]</span></h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, 3, DType&gt; mxnet::TBlob::FlatTo3D </td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>axis</em>, </td>
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<td class="paramtype"><a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *&#160;</td>
<td class="paramname"><em>stream</em> = <code>nullptr</code>&#160;</td>
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<p>flatten the tensor to 3 dimension, collapse the dimension before and after specified axis. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">axis</td><td>The axis specified. </td></tr>
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>tensor after flatten </dd></dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a684ef7a1354dc47b808ef54cfecf81b7">&#9670;&nbsp;</a></span>FlatTo3D() <span class="overload">[2/2]</span></h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, 3, DType&gt; mxnet::TBlob::FlatTo3D </td>
<td>(</td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>axis_begin</em>, </td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>axis_end</em>, </td>
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<td class="paramtype"><a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *&#160;</td>
<td class="paramname"><em>stream</em> = <code>nullptr</code>&#160;</td>
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<p>flatten the tensor to 3 dimension, collapse the dimension: [0, axis_begin), [axis_begin, axis_end], (axis_end, ndim). </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">axis_begin</td><td>The beginning axis specified. </td></tr>
<tr><td class="paramname">axis_end</td><td>The ending axis specified. </td></tr>
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>tensor after flatten </dd></dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a765ee89940e22fcf1cb24e8048da95e2">&#9670;&nbsp;</a></span>FlatToKD()</h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, dim, DType&gt; mxnet::TBlob::FlatToKD </td>
<td>(</td>
<td class="paramtype"><a class="el" href="structmshadow_1_1Stream.html">mshadow::Stream</a>&lt; Device &gt; *&#160;</td>
<td class="paramname"><em>stream</em> = <code>nullptr</code></td><td>)</td>
<td> const</td>
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<p>flatten the tensor to specified number of dimensions, collapse the highest dimensions or pad with higher dimensions </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">dim</td><td>desired number of dimensions of returned tensor </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>tensor after flatten </dd></dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#af38cdc5d0bcce77bb4f96251167cd7a0">&#9670;&nbsp;</a></span>get()</h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, dim, DType&gt; mxnet::TBlob::get </td>
<td>(</td>
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<td class="paramname"><em>stream</em> = <code>nullptr</code></td><td>)</td>
<td> const</td>
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<p>fetch the tensor, with respect to specific dimension if dim do not match the stored dimension, an error will be issued </p>
<dl class="section return"><dt>Returns</dt><dd>the tensor requested </dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">dim</td><td>dimension of the tensor </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
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<h2 class="memtitle"><span class="permalink"><a href="#ad17880c664c448bb159b356e0c2b875c">&#9670;&nbsp;</a></span>get_with_shape()</h2>
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<td class="memname"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt;Device, dim, DType&gt; mxnet::TBlob::get_with_shape </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="structmshadow_1_1Shape.html">mshadow::Shape</a>&lt; dim &gt; &amp;&#160;</td>
<td class="paramname"><em>shape</em>, </td>
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<td class="paramname"><em>stream</em> = <code>nullptr</code>&#160;</td>
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<p>fetch a tensor in given shape If size do not match the stored size, an error will be issued </p>
<dl class="section return"><dt>Returns</dt><dd>the tensor requested </dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">shape</td><td>the shape required </td></tr>
<tr><td class="paramname">stream</td><td>the possible stream target tensor should reside on </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">dim</td><td>dimension of the tensor </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a77a8929e46d06e5d6a0026bcc9e48851">&#9670;&nbsp;</a></span>ndim()</h2>
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<td class="memname">int mxnet::TBlob::ndim </td>
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<td class="paramname"></td><td>)</td>
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<p>return number of dimension of the tensor inside </p>
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<h2 class="memtitle"><span class="permalink"><a href="#ad3263d9d1ef40678cd592be822d1c7be">&#9670;&nbsp;</a></span>operator=() <span class="overload">[1/2]</span></h2>
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<td class="memname"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a>&amp; mxnet::TBlob::operator= </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor</a>&lt; Device, dim, DType &gt; &amp;&#160;</td>
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<p>assignment from tensor </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">src</td><td>source tensor </td></tr>
</table>
</dd>
</dl>
<dl class="tparams"><dt>Template Parameters</dt><dd>
<table class="tparams">
<tr><td class="paramname">Device</td><td>which device the tensor is on </td></tr>
<tr><td class="paramname">dim</td><td>tensor dimension </td></tr>
<tr><td class="paramname">DType</td><td>the type of elements in the tensor </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>reference of self </dd></dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a7971ef6867cd7c94ee32de023f8dbe23">&#9670;&nbsp;</a></span>operator=() <span class="overload">[2/2]</span></h2>
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<td class="memname"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a>&amp; mxnet::TBlob::operator= </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> &amp;&#160;</td>
<td class="paramname"><em>src</em></td><td>)</td>
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<p>assignment from <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> (copy assignment) </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">src</td><td>source <a class="el" href="classmxnet_1_1TBlob.html" title="tensor blob class that can be used to hold tensor of any dimension, any device and any data type...">TBlob</a> </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>reference of self </dd></dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a10111644a1abe2035ec3e869187847dc">&#9670;&nbsp;</a></span>reshape()</h2>
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<td class="memname"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> mxnet::TBlob::reshape </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> &amp;&#160;</td>
<td class="paramname"><em>shape</em></td><td>)</td>
<td> const</td>
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<p>reshape to shape </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">shape</td><td>desired shape </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>reshaped blob </dd></dl>
</div>
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<h2 class="memtitle"><span class="permalink"><a href="#a44c93b8a96203a1a85fa9d4b85e123c7">&#9670;&nbsp;</a></span>size()</h2>
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<td class="memname"><a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> mxnet::TBlob::size </td>
<td>(</td>
<td class="paramtype"><a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a>&#160;</td>
<td class="paramname"><em>idx</em></td><td>)</td>
<td> const</td>
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<p>return size of i-th dimension, start counting from highest dimension. return type needs to be a signed integer. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">idx</td><td>the dimension count from the highest dimensin </td></tr>
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<dl class="section return"><dt>Returns</dt><dd>the size. -1 means unknown size to support zero-size tensor. </dd></dl>
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<h2 class="memtitle"><span class="permalink"><a href="#aa676224250ad5299e1b914da556cdc8d">&#9670;&nbsp;</a></span>Size()</h2>
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<td class="memname">size_t mxnet::TBlob::Size </td>
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<p>total number of elements in the tensor </p>
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<h2 class="groupheader">Friends And Related Function Documentation</h2>
<a id="ad41557e205cf8f4d6ef70b60587c37cb"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad41557e205cf8f4d6ef70b60587c37cb">&#9670;&nbsp;</a></span>NDArray</h2>
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<td class="memname">friend class <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a></td>
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<span class="mlabels"><span class="mlabel">friend</span></span> </td>
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<h2 class="groupheader">Member Data Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a4e5f4953be2c16724ecff0afc5ea2e10">&#9670;&nbsp;</a></span>dptr_</h2>
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<p>pointer to the data </p>
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<h2 class="memtitle"><span class="permalink"><a href="#af0e813ff066c775051d1f1f78a4a2029">&#9670;&nbsp;</a></span>shape_</h2>
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<td class="memname"><a class="el" href="classmxnet_1_1TShape.html">mxnet::TShape</a> mxnet::TBlob::shape_</td>
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<p>shape of the tensor </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a4649b740b80a6045754cb2389cfcca61">&#9670;&nbsp;</a></span>type_flag_</h2>
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<p>type flag of the tensor blob </p>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li>/work/mxnet/include/mxnet/<a class="el" href="tensor__blob_8h_source.html">tensor_blob.h</a></li>
</ul>
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