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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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| <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 do not involve any arithmentic 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 <<a class="el" href="tensor__blob_8h_source.html">tensor_blob.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for mxnet::TBlob:</div> |
| <div class="dyncontent"> |
| <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"> |
| </map> |
| </div> |
| <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"> </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"> </td><td class="mdescRight">storing mkl chunk buffer blob, use for experimental only <a href="#adcdc6de67f81454f0a142bfc9fd38c9e">More...</a><br/></td></tr> |
| <tr class="separator:adcdc6de67f81454f0a142bfc9fd38c9e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af89975f6a6de34624a1ee7fbc43df8fa"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:af89975f6a6de34624a1ee7fbc43df8fa"><td class="memTemplItemLeft" align="right" valign="top"> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#af89975f6a6de34624a1ee7fbc43df8fa">TBlob</a> (DType *<a class="el" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">dptr</a>, const <a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> &shape, int <a class="el" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>, int <a class="el" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>=-1)</td></tr> |
| <tr class="memdesc:af89975f6a6de34624a1ee7fbc43df8fa"><td class="mdescLeft"> </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="#af89975f6a6de34624a1ee7fbc43df8fa">More...</a><br/></td></tr> |
| <tr class="separator:af89975f6a6de34624a1ee7fbc43df8fa"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a660f447fbe40782e1db6a993ab1e37b4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a660f447fbe40782e1db6a993ab1e37b4">TBlob</a> (void *<a class="el" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">dptr</a>, const <a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> &shape, int <a class="el" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>, int type_flag, int <a class="el" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>=-1)</td></tr> |
| <tr class="memdesc:a660f447fbe40782e1db6a993ab1e37b4"><td class="mdescLeft"> </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="#a660f447fbe40782e1db6a993ab1e37b4">More...</a><br/></td></tr> |
| <tr class="separator:a660f447fbe40782e1db6a993ab1e37b4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aae92a89345aad79c8c3b451b9e3b84a5"><td class="memTemplParams" colspan="2">template<typename Device , int dim, typename DType > </td></tr> |
| <tr class="memitem:aae92a89345aad79c8c3b451b9e3b84a5"><td class="memTemplItemLeft" align="right" valign="top"> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#aae92a89345aad79c8c3b451b9e3b84a5">TBlob</a> (const mshadow::Tensor< Device, dim, DType > &src)</td></tr> |
| <tr class="memdesc:aae92a89345aad79c8c3b451b9e3b84a5"><td class="mdescLeft"> </td><td class="mdescRight">constructor from tensor <a href="#aae92a89345aad79c8c3b451b9e3b84a5">More...</a><br/></td></tr> |
| <tr class="separator:aae92a89345aad79c8c3b451b9e3b84a5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad3263d9d1ef40678cd592be822d1c7be"><td class="memTemplParams" colspan="2">template<typename Device , int dim, typename DType > </td></tr> |
| <tr class="memitem:ad3263d9d1ef40678cd592be822d1c7be"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> & </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad3263d9d1ef40678cd592be822d1c7be">operator=</a> (const mshadow::Tensor< Device, dim, DType > &src)</td></tr> |
| <tr class="memdesc:ad3263d9d1ef40678cd592be822d1c7be"><td class="mdescLeft"> </td><td class="mdescRight">assignment from tensor <a href="#ad3263d9d1ef40678cd592be822d1c7be">More...</a><br/></td></tr> |
| <tr class="separator:ad3263d9d1ef40678cd592be822d1c7be"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa6cfdf8823a601602b6b56011af4b874"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#aa6cfdf8823a601602b6b56011af4b874">CheckContiguous</a> (void) const </td></tr> |
| <tr class="separator:aa6cfdf8823a601602b6b56011af4b874"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0c66b10f5a17528cc858762b60125789"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a0c66b10f5a17528cc858762b60125789">reshape</a> (const <a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> &shape) const </td></tr> |
| <tr class="memdesc:a0c66b10f5a17528cc858762b60125789"><td class="mdescLeft"> </td><td class="mdescRight">reshape to shape <a href="#a0c66b10f5a17528cc858762b60125789">More...</a><br/></td></tr> |
| <tr class="separator:a0c66b10f5a17528cc858762b60125789"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a23cc57be3b2c40a269c8c9f242fa0532"><td class="memTemplParams" colspan="2">template<typename Device , typename DType > </td></tr> |
| <tr class="memitem:a23cc57be3b2c40a269c8c9f242fa0532"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, 2, DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a23cc57be3b2c40a269c8c9f242fa0532">FlatTo2D</a> (mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:a23cc57be3b2c40a269c8c9f242fa0532"><td class="mdescLeft"> </td><td class="mdescRight">flatten the tensor to 2 dimension, collapse the higher dimensions together <a href="#a23cc57be3b2c40a269c8c9f242fa0532">More...</a><br/></td></tr> |
| <tr class="separator:a23cc57be3b2c40a269c8c9f242fa0532"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a95bf7032c2b90627510a89ac8bb2946f"><td class="memTemplParams" colspan="2">template<typename Device , typename DType > </td></tr> |
| <tr class="memitem:a95bf7032c2b90627510a89ac8bb2946f"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, 1, DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a95bf7032c2b90627510a89ac8bb2946f">FlatTo1D</a> (mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:a95bf7032c2b90627510a89ac8bb2946f"><td class="mdescLeft"> </td><td class="mdescRight">flatten the tensor to 1 dimension, collapse all the dimensions together. <a href="#a95bf7032c2b90627510a89ac8bb2946f">More...</a><br/></td></tr> |
| <tr class="separator:a95bf7032c2b90627510a89ac8bb2946f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3be3b640e59a480b8ac5369d73b117de"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a> (void) const </td></tr> |
| <tr class="memdesc:a3be3b640e59a480b8ac5369d73b117de"><td class="mdescLeft"> </td><td class="mdescRight">return number of dimension of the tensor inside <a href="#a3be3b640e59a480b8ac5369d73b117de">More...</a><br/></td></tr> |
| <tr class="separator:a3be3b640e59a480b8ac5369d73b117de"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a523fd58883de4b9cd0b1a2852daa64ae"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a523fd58883de4b9cd0b1a2852daa64ae">size</a> (<a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> idx) const </td></tr> |
| <tr class="memdesc:a523fd58883de4b9cd0b1a2852daa64ae"><td class="mdescLeft"> </td><td class="mdescRight">return size of i-th dimension, start counting from highest dimension <a href="#a523fd58883de4b9cd0b1a2852daa64ae">More...</a><br/></td></tr> |
| <tr class="separator:a523fd58883de4b9cd0b1a2852daa64ae"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3b04db1348834e1576cfb2ed54959703"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a3b04db1348834e1576cfb2ed54959703">Size</a> (void) const </td></tr> |
| <tr class="memdesc:a3b04db1348834e1576cfb2ed54959703"><td class="mdescLeft"> </td><td class="mdescRight">total number of elements in the tensor <a href="#a3b04db1348834e1576cfb2ed54959703">More...</a><br/></td></tr> |
| <tr class="separator:a3b04db1348834e1576cfb2ed54959703"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3449ca0a9130e87c343130b041b68c53"><td class="memTemplParams" colspan="2">template<typename DType > </td></tr> |
| <tr class="memitem:a3449ca0a9130e87c343130b041b68c53"><td class="memTemplItemLeft" align="right" valign="top">DType * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">dptr</a> () const </td></tr> |
| <tr class="memdesc:a3449ca0a9130e87c343130b041b68c53"><td class="mdescLeft"> </td><td class="mdescRight">get pointer in dtype <a href="#a3449ca0a9130e87c343130b041b68c53">More...</a><br/></td></tr> |
| <tr class="separator:a3449ca0a9130e87c343130b041b68c53"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a613ad1f5ba31efcbecbd041e23cc61b2"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a> () const </td></tr> |
| <tr class="memdesc:a613ad1f5ba31efcbecbd041e23cc61b2"><td class="mdescLeft"> </td><td class="mdescRight">device mask of the corresponding device <a href="#a613ad1f5ba31efcbecbd041e23cc61b2">More...</a><br/></td></tr> |
| <tr class="separator:a613ad1f5ba31efcbecbd041e23cc61b2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5dc3a399b0119175643da0d35fde7edd"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a> () const </td></tr> |
| <tr class="memdesc:a5dc3a399b0119175643da0d35fde7edd"><td class="mdescLeft"> </td><td class="mdescRight">device index of the corresponding device <a href="#a5dc3a399b0119175643da0d35fde7edd">More...</a><br/></td></tr> |
| <tr class="separator:a5dc3a399b0119175643da0d35fde7edd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a519111d4450efa8e58cc10cfc1dbeca7"><td class="memItemLeft" align="right" valign="top">const DLTensor & </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a519111d4450efa8e58cc10cfc1dbeca7">dltensor</a> () const </td></tr> |
| <tr class="memdesc:a519111d4450efa8e58cc10cfc1dbeca7"><td class="mdescLeft"> </td><td class="mdescRight">return the corresponding DLTensor <a href="#a519111d4450efa8e58cc10cfc1dbeca7">More...</a><br/></td></tr> |
| <tr class="separator:a519111d4450efa8e58cc10cfc1dbeca7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:acb2e058394548527844e219c7e3c480d"><td class="memTemplParams" colspan="2">template<typename Device , int dim, typename DType > </td></tr> |
| <tr class="memitem:acb2e058394548527844e219c7e3c480d"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, dim, <br class="typebreak"/> |
| DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#acb2e058394548527844e219c7e3c480d">get</a> (mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:acb2e058394548527844e219c7e3c480d"><td class="mdescLeft"> </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="#acb2e058394548527844e219c7e3c480d">More...</a><br/></td></tr> |
| <tr class="separator:acb2e058394548527844e219c7e3c480d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abbdbdc8d02c15e854cc7f5fe5dc09f61"><td class="memTemplParams" colspan="2">template<typename Device , int dim, typename DType > </td></tr> |
| <tr class="memitem:abbdbdc8d02c15e854cc7f5fe5dc09f61"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, dim, <br class="typebreak"/> |
| DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#abbdbdc8d02c15e854cc7f5fe5dc09f61">get_with_shape</a> (const mshadow::Shape< dim > &shape, mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:abbdbdc8d02c15e854cc7f5fe5dc09f61"><td class="mdescLeft"> </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="#abbdbdc8d02c15e854cc7f5fe5dc09f61">More...</a><br/></td></tr> |
| <tr class="separator:abbdbdc8d02c15e854cc7f5fe5dc09f61"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac5cd4953869cb66ed374854a34da40f8"><td class="memTemplParams" colspan="2">template<typename Device , typename DType > </td></tr> |
| <tr class="memitem:ac5cd4953869cb66ed374854a34da40f8"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, 3, DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ac5cd4953869cb66ed374854a34da40f8">FlatTo3D</a> (int axis, mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:ac5cd4953869cb66ed374854a34da40f8"><td class="mdescLeft"> </td><td class="mdescRight">flatten the tensor to 3 dimension, collapse the dimension before and after specified axis. <a href="#ac5cd4953869cb66ed374854a34da40f8">More...</a><br/></td></tr> |
| <tr class="separator:ac5cd4953869cb66ed374854a34da40f8"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ada83447eb80b913592e9ac2bf8c5740f"><td class="memTemplParams" colspan="2">template<typename Device , typename DType > </td></tr> |
| <tr class="memitem:ada83447eb80b913592e9ac2bf8c5740f"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, 3, DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ada83447eb80b913592e9ac2bf8c5740f">FlatTo3D</a> (int axis_begin, int axis_end, mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:ada83447eb80b913592e9ac2bf8c5740f"><td class="mdescLeft"> </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="#ada83447eb80b913592e9ac2bf8c5740f">More...</a><br/></td></tr> |
| <tr class="separator:ada83447eb80b913592e9ac2bf8c5740f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa2f8e15eb1fc21e159c496ec0d499b6f"><td class="memTemplParams" colspan="2">template<typename Device , int dim, typename DType > </td></tr> |
| <tr class="memitem:aa2f8e15eb1fc21e159c496ec0d499b6f"><td class="memTemplItemLeft" align="right" valign="top">mshadow::Tensor< Device, dim, <br class="typebreak"/> |
| DType > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#aa2f8e15eb1fc21e159c496ec0d499b6f">FlatToKD</a> (mshadow::Stream< Device > *stream=NULL) const </td></tr> |
| <tr class="memdesc:aa2f8e15eb1fc21e159c496ec0d499b6f"><td class="mdescLeft"> </td><td class="mdescRight">flatten the tensor to specified number of dimensions, collapse the highest dimensions or pad with higher dimensions <a href="#aa2f8e15eb1fc21e159c496ec0d499b6f">More...</a><br/></td></tr> |
| <tr class="separator:aa2f8e15eb1fc21e159c496ec0d499b6f"><td class="memSeparator" colspan="2"> </td></tr> |
| </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 * </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"> </td><td class="mdescRight">pointer to the data <a href="#a4e5f4953be2c16724ecff0afc5ea2e10">More...</a><br/></td></tr> |
| <tr class="separator:a4e5f4953be2c16724ecff0afc5ea2e10"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6cc7a57d9c33fefc08630e81951a004f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#a6cc7a57d9c33fefc08630e81951a004f">shape_</a></td></tr> |
| <tr class="memdesc:a6cc7a57d9c33fefc08630e81951a004f"><td class="mdescLeft"> </td><td class="mdescRight">shape of the tensor <a href="#a6cc7a57d9c33fefc08630e81951a004f">More...</a><br/></td></tr> |
| <tr class="separator:a6cc7a57d9c33fefc08630e81951a004f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a4649b740b80a6045754cb2389cfcca61"><td class="memItemLeft" align="right" valign="top">int </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"> </td><td class="mdescRight">type flag of the tensor blob <a href="#a4649b740b80a6045754cb2389cfcca61">More...</a><br/></td></tr> |
| <tr class="separator:a4649b740b80a6045754cb2389cfcca61"><td class="memSeparator" colspan="2"> </td></tr> |
| </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 </td><td class="memItemRight" valign="bottom"><a class="el" href="classmxnet_1_1TBlob.html#ad41557e205cf8f4d6ef70b60587c37cb">NDArray</a></td></tr> |
| <tr class="separator:ad41557e205cf8f4d6ef70b60587c37cb"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <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 do not involve any arithmentic 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 & Destructor Documentation</h2> |
| <a class="anchor" id="adcdc6de67f81454f0a142bfc9fd38c9e"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mxnet::TBlob::TBlob </td> |
| <td>(</td> |
| <td class="paramtype">void </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>storing mkl chunk buffer blob, use for experimental only </p> |
| <p>default constructor, default copy assign will work </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="af89975f6a6de34624a1ee7fbc43df8fa"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mxnet::TBlob::TBlob </td> |
| <td>(</td> |
| <td class="paramtype">DType * </td> |
| <td class="paramname"><em>dptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> & </td> |
| <td class="paramname"><em>shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>dev_mask</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>dev_id</em> = <code>-1</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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 cpu::kDevMask or gpu::kDevMask </td></tr> |
| <tr><td class="paramname">dev_id</td><td>the device id </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a660f447fbe40782e1db6a993ab1e37b4"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mxnet::TBlob::TBlob </td> |
| <td>(</td> |
| <td class="paramtype">void * </td> |
| <td class="paramname"><em>dptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> & </td> |
| <td class="paramname"><em>shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>dev_mask</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>type_flag</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>dev_id</em> = <code>-1</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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 cpu::kDevMask or gpu::kDevMask </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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="aae92a89345aad79c8c3b451b9e3b84a5"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , int dim, typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mxnet::TBlob::TBlob </td> |
| <td>(</td> |
| <td class="paramtype">const mshadow::Tensor< Device, dim, DType > & </td> |
| <td class="paramname"><em>src</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>constructor 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> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a class="anchor" id="aa6cfdf8823a601602b6b56011af4b874"></a> |
| <div class="memitem"> |
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| <td class="memname">bool mxnet::TBlob::CheckContiguous </td> |
| <td>(</td> |
| <td class="paramtype">void </td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| <dl class="section return"><dt>Returns</dt><dd>whether the tensor's memory is continuous </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a5dc3a399b0119175643da0d35fde7edd"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname">int mxnet::TBlob::dev_id </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>device index of the corresponding device </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a613ad1f5ba31efcbecbd041e23cc61b2"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int mxnet::TBlob::dev_mask </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>device mask of the corresponding device </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a519111d4450efa8e58cc10cfc1dbeca7"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">const DLTensor& mxnet::TBlob::dltensor </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>return the corresponding DLTensor </p> |
| <dl class="section return"><dt>Returns</dt><dd>the address of internal DLTensor </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a3449ca0a9130e87c343130b041b68c53"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">DType* mxnet::TBlob::dptr </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>get pointer in dtype </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a95bf7032c2b90627510a89ac8bb2946f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, 1, DType> mxnet::TBlob::FlatTo1D </td> |
| <td>(</td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a23cc57be3b2c40a269c8c9f242fa0532"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, 2, DType> mxnet::TBlob::FlatTo2D </td> |
| <td>(</td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ac5cd4953869cb66ed374854a34da40f8"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, 3, DType> mxnet::TBlob::FlatTo3D </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>axis</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </div> |
| <a class="anchor" id="ada83447eb80b913592e9ac2bf8c5740f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, 3, DType> mxnet::TBlob::FlatTo3D </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>axis_begin</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>axis_end</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </div> |
| <a class="anchor" id="aa2f8e15eb1fc21e159c496ec0d499b6f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , int dim, typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, dim, DType> mxnet::TBlob::FlatToKD </td> |
| <td>(</td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </div> |
| <a class="anchor" id="acb2e058394548527844e219c7e3c480d"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , int dim, typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, dim, DType> mxnet::TBlob::get </td> |
| <td>(</td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| |
| </div> |
| </div> |
| <a class="anchor" id="abbdbdc8d02c15e854cc7f5fe5dc09f61"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , int dim, typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">mshadow::Tensor<Device, dim, DType> mxnet::TBlob::get_with_shape </td> |
| <td>(</td> |
| <td class="paramtype">const mshadow::Shape< dim > & </td> |
| <td class="paramname"><em>shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">mshadow::Stream< Device > * </td> |
| <td class="paramname"><em>stream</em> = <code>NULL</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </div> |
| <a class="anchor" id="a3be3b640e59a480b8ac5369d73b117de"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int mxnet::TBlob::ndim </td> |
| <td>(</td> |
| <td class="paramtype">void </td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>return number of dimension of the tensor inside </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ad3263d9d1ef40678cd592be822d1c7be"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <div class="memtemplate"> |
| template<typename Device , int dim, typename DType > </div> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classmxnet_1_1TBlob.html">TBlob</a>& mxnet::TBlob::operator= </td> |
| <td>(</td> |
| <td class="paramtype">const mshadow::Tensor< Device, dim, DType > & </td> |
| <td class="paramname"><em>src</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </div> |
| <a class="anchor" id="a0c66b10f5a17528cc858762b60125789"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <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="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> & </td> |
| <td class="paramname"><em>shape</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </div> |
| <a class="anchor" id="a523fd58883de4b9cd0b1a2852daa64ae"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <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> </td> |
| <td class="paramname"><em>idx</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>return size of i-th dimension, start counting from highest dimension </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramname">idx</td><td>the dimension count from the highest dimensin </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>the size </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a3b04db1348834e1576cfb2ed54959703"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> mxnet::TBlob::Size </td> |
| <td>(</td> |
| <td class="paramtype">void </td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>total number of elements in the tensor </p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Friends And Related Function Documentation</h2> |
| <a class="anchor" id="ad41557e205cf8f4d6ef70b60587c37cb"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">friend class <a class="el" href="classmxnet_1_1NDArray.html">NDArray</a></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">friend</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Data Documentation</h2> |
| <a class="anchor" id="a4e5f4953be2c16724ecff0afc5ea2e10"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void* mxnet::TBlob::dptr_</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>pointer to the data </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a6cc7a57d9c33fefc08630e81951a004f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> mxnet::TBlob::shape_</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>shape of the tensor </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a4649b740b80a6045754cb2389cfcca61"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int mxnet::TBlob::type_flag_</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>type flag of the tensor blob </p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>include/mxnet/<a class="el" href="tensor__blob_8h_source.html">tensor_blob.h</a></li> |
| </ul> |
| </div><!-- contents --> |
| <!-- start footer part --> |
| <hr class="footer"/><address class="footer"><small> |
| Generated on Sun Aug 6 2017 07:14:31 for mxnet by  <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/> |
| </a> 1.8.6 |
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