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| <a href="tensor__blob_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * distributed with this work for additional information</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> *</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> *</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * software distributed under the License is distributed on an</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * specific language governing permissions and limitations</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * under the License.</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> */</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#ifndef MXNET_TENSOR_BLOB_H_</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#define MXNET_TENSOR_BLOB_H_</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <dmlc/logging.h></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <dmlc/json.h></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <dlpack/dlpack.h></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="include_2mxnet_2base_8h.html">./base.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#if MXNET_USE_MKL2017 == 1</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <mkl_memory.h></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span><a class="code" href="namespacemxnet.html">mxnet</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment">/* Forward declaration for friend declaration in TBlob */</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">class </span>NDArray;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html"> 58</a></span> <span class="keyword">class </span><a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> {</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#ad41557e205cf8f4d6ef70b60587c37cb"> 59</a></span> <span class="keyword">friend</span> <span class="keyword">class </span><a class="code" href="classmxnet_1_1NDArray.html">NDArray</a>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10"> 62</a></span> <span class="keywordtype">void</span> *<a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>;</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a6cc7a57d9c33fefc08630e81951a004f"> 64</a></span> <a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> <a class="code" href="classmxnet_1_1TBlob.html#a6cc7a57d9c33fefc08630e81951a004f">shape_</a>;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61"> 66</a></span> <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">type_flag_</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> std::shared_ptr<MKLMemHolder> Mkl_mem_;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#adcdc6de67f81454f0a142bfc9fd38c9e"> 73</a></span> <a class="code" href="classmxnet_1_1TBlob.html#adcdc6de67f81454f0a142bfc9fd38c9e">TBlob</a>(<span class="keywordtype">void</span>)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> : dptr_(NULL),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> type_flag_(mshadow::DataType<<a class="code" href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">real_t</a>>::kFlag) {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> Mkl_mem_ = NULL;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> SetDLTensor(cpu::kDevMask, 0);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">template</span><<span class="keyword">typename</span> DType></div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#af89975f6a6de34624a1ee7fbc43df8fa"> 89</a></span> <a class="code" href="classmxnet_1_1TBlob.html#af89975f6a6de34624a1ee7fbc43df8fa">TBlob</a>(DType *<a class="code" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">dptr</a>, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> &shape, <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>, <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a> = -1)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> : dptr_(dptr), shape_(shape),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> type_flag_(mshadow::DataType<DType>::kFlag) {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> Mkl_mem_ = NULL;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> SetDLTensor(dev_mask, <a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> }</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a660f447fbe40782e1db6a993ab1e37b4"> 105</a></span> <a class="code" href="classmxnet_1_1TBlob.html#a660f447fbe40782e1db6a993ab1e37b4">TBlob</a>(<span class="keywordtype">void</span> *<a class="code" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">dptr</a>, <span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a> &shape, <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>, <span class="keywordtype">int</span> type_flag, <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a> = -1)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> : dptr_(dptr), shape_(shape), type_flag_(type_flag) {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> Mkl_mem_ = NULL;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> SetDLTensor(dev_mask, <a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keywordtype">int</span> dim, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#aae92a89345aad79c8c3b451b9e3b84a5"> 120</a></span> <a class="code" href="classmxnet_1_1TBlob.html#aae92a89345aad79c8c3b451b9e3b84a5">TBlob</a>(<span class="keyword">const</span> mshadow::Tensor<Device, dim, DType> &src) { <span class="comment">// NOLINT(*)</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> *<span class="keyword">this</span> = src;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keywordtype">int</span> dim, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#ad3263d9d1ef40678cd592be822d1c7be"> 132</a></span> <span class="keyword">inline</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> &<a class="code" href="classmxnet_1_1TBlob.html#ad3263d9d1ef40678cd592be822d1c7be">operator=</a>(<span class="keyword">const</span> mshadow::Tensor<Device, dim, DType> &src) {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> dptr_ = src.<a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> shape_ = src.shape_;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> type_flag_ = mshadow::DataType<DType>::kFlag;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> SetDLTensor(Device::kDevMask, -1);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> Mkl_mem_ = NULL;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#aa6cfdf8823a601602b6b56011af4b874"> 145</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="classmxnet_1_1TBlob.html#aa6cfdf8823a601602b6b56011af4b874">CheckContiguous</a>(<span class="keywordtype">void</span>)<span class="keyword"> const </span>{</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> }</div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a0c66b10f5a17528cc858762b60125789"> 153</a></span> <span class="keyword">inline</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> <a class="code" href="classmxnet_1_1TBlob.html#a0c66b10f5a17528cc858762b60125789">reshape</a>(<span class="keyword">const</span> <a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a>& shape)<span class="keyword"> const </span>{</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> CHECK_EQ(this->shape_.Size(), shape.Size()) << <span class="stringliteral">"Shape size mismatch "</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> << this->shape_.<a class="code" href="classmxnet_1_1TBlob.html#a3b04db1348834e1576cfb2ed54959703">Size</a>() << <span class="stringliteral">" v.s. "</span> << shape.Size();</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <a class="code" href="classmxnet_1_1TBlob.html">TBlob</a> ret(this->dptr_, shape, this-><a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>(), this->type_flag_, this-><a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>());</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a23cc57be3b2c40a269c8c9f242fa0532"> 167</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, 2, DType> <a class="code" href="classmxnet_1_1TBlob.html#a23cc57be3b2c40a269c8c9f242fa0532">FlatTo2D</a>(</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> mshadow::Stream<Device> *stream = NULL)<span class="keyword"> const </span>{</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> CHECK(Device::kDevMask == this-><a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>())</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> << <span class="stringliteral">"TBlob.get: device type do not match specified type"</span>;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> CHECK(mshadow::DataType<DType>::kFlag == type_flag_)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> << <span class="stringliteral">"TBlob.get_with_shape: data type do not match specified type."</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> << <span class="stringliteral">"Expected: "</span> << type_flag_ << <span class="stringliteral">" v.s. given "</span> << mshadow::DataType<DType>::kFlag;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keywordflow">if</span> (Mkl_mem_ != <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> Mkl_mem_->check_and_prv_to_cpu(dptr_);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="keywordflow">return</span> mshadow::Tensor<Device, 2, DType>(<span class="keyword">static_cast<</span>DType*<span class="keyword">></span>(<a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>),</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> shape_.FlatTo2D(),</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> shape_[shape_.ndim() - 1],</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> stream);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00192"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a95bf7032c2b90627510a89ac8bb2946f"> 192</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, 1, DType> <a class="code" href="classmxnet_1_1TBlob.html#a95bf7032c2b90627510a89ac8bb2946f">FlatTo1D</a>(</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> mshadow::Stream<Device> *stream = NULL)<span class="keyword"> const </span>{</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="keywordflow">return</span> this->get_with_shape<Device, 1, DType>(</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> mshadow::Shape1(shape_.Size()), stream);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> }</div><div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de"> 198</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>(<span class="keywordtype">void</span>)<span class="keyword"> const </span>{</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="keywordflow">return</span> shape_.ndim();</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> }</div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a523fd58883de4b9cd0b1a2852daa64ae"> 206</a></span> <span class="keyword">inline</span> <a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> <a class="code" href="classmxnet_1_1TBlob.html#a523fd58883de4b9cd0b1a2852daa64ae">size</a>(<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> idx)<span class="keyword"> const </span>{</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keywordflow">return</span> shape_[idx];</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> }</div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a3b04db1348834e1576cfb2ed54959703"> 210</a></span> <span class="keyword">inline</span> <a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">index_t</a> <a class="code" href="classmxnet_1_1TBlob.html#a3b04db1348834e1576cfb2ed54959703">Size</a>(<span class="keywordtype">void</span>)<span class="keyword"> const </span>{</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keywordflow">return</span> shape_.Size();</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="keyword">template</span><<span class="keyword">typename</span> DType></div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53"> 215</a></span> <span class="keyword">inline</span> DType* <a class="code" href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">dptr</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> CHECK(mshadow::DataType<DType>::kFlag == type_flag_)</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> << <span class="stringliteral">"TBlob.get_with_shape: data type do not match specified type."</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> << <span class="stringliteral">"Expected: "</span> << type_flag_ << <span class="stringliteral">" v.s. given "</span> << mshadow::DataType<DType>::kFlag;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="preprocessor">#if MKL_EXPERIMENTAL == 1</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keywordflow">if</span> (Mkl_mem_ != <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> Mkl_mem_->check_and_prv_to_cpu(dptr_);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>DType*<span class="keyword">></span>(<a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> }</div><div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2"> 227</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="keywordflow">return</span> dltensor_.ctx.device_type;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> }</div><div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd"> 231</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="keywordflow">return</span> dltensor_.ctx.device_id;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> }</div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#a519111d4450efa8e58cc10cfc1dbeca7"> 238</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> DLTensor& <a class="code" href="classmxnet_1_1TBlob.html#a519111d4450efa8e58cc10cfc1dbeca7">dltensor</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keywordflow">return</span> dltensor_;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keywordtype">int</span> dim, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00252"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#acb2e058394548527844e219c7e3c480d"> 252</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, dim, DType> <span class="keyword">get</span>(mshadow::Stream<Device> *stream = NULL) <span class="keyword">const</span> {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> CHECK(Device::kDevMask == this-><a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>())</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> << <span class="stringliteral">"TBlob.get: device type do not match specified type"</span>;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="keywordflow">return</span> mshadow::Tensor<Device, dim, DType>(dptr<DType>(),</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> shape_.get<dim>(), shape_[shape_.ndim() - 1], stream);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keywordtype">int</span> dim, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00269"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#abbdbdc8d02c15e854cc7f5fe5dc09f61"> 269</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, dim, DType> <a class="code" href="classmxnet_1_1TBlob.html#abbdbdc8d02c15e854cc7f5fe5dc09f61">get_with_shape</a>(</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="keyword">const</span> mshadow::Shape<dim> &shape,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> mshadow::Stream<Device> *stream = NULL)<span class="keyword"> const </span>{</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> CHECK(Device::kDevMask == this-><a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>())</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> << <span class="stringliteral">"TBlob.get: device type do not match specified type"</span>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> CHECK_EQ(this-><a class="code" href="classmxnet_1_1TBlob.html#aa6cfdf8823a601602b6b56011af4b874">CheckContiguous</a>(), <span class="keyword">true</span>) << <span class="stringliteral">"TBlob.get_reshape: must be contiguous"</span>;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> CHECK_EQ(this->shape_.Size(), shape.Size())</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> << <span class="stringliteral">"TBlob.get_with_shape: new and old shape do not match total elements"</span>;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keywordflow">return</span> mshadow::Tensor<Device, dim, DType>(dptr<DType>(), shape,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> shape[dim - 1], stream);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#ac5cd4953869cb66ed374854a34da40f8"> 290</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, 3, DType> <a class="code" href="classmxnet_1_1TBlob.html#ac5cd4953869cb66ed374854a34da40f8">FlatTo3D</a>(</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="keywordtype">int</span> axis, mshadow::Stream<Device> *stream = NULL)<span class="keyword"> const </span>{</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="keywordflow">return</span> this->get_with_shape<Device, 3, DType>(</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> this->shape_.FlatTo3D(axis), stream);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#ada83447eb80b913592e9ac2bf8c5740f"> 306</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, 3, DType> <a class="code" href="classmxnet_1_1TBlob.html#ada83447eb80b913592e9ac2bf8c5740f">FlatTo3D</a>(</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="keywordtype">int</span> axis_begin, <span class="keywordtype">int</span> axis_end,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> mshadow::Stream<Device> *stream = NULL)<span class="keyword"> const </span>{</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="keywordflow">return</span> this->get_with_shape<Device, 3, DType>(</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> this->shape_.FlatTo3D(axis_begin, axis_end), stream);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="keyword">template</span><<span class="keyword">typename</span> Device, <span class="keywordtype">int</span> dim, <span class="keyword">typename</span> DType></div><div class="line"><a name="l00322"></a><span class="lineno"><a class="line" href="classmxnet_1_1TBlob.html#aa2f8e15eb1fc21e159c496ec0d499b6f"> 322</a></span> <span class="keyword">inline</span> mshadow::Tensor<Device, dim, DType> <a class="code" href="classmxnet_1_1TBlob.html#aa2f8e15eb1fc21e159c496ec0d499b6f">FlatToKD</a>(</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> mshadow::Stream<Device> *stream = NULL)<span class="keyword"> const </span>{</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> mshadow::Shape<dim> shape;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> shape[0] = 1;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="comment">// Pad higher dimensions in case dim > ndim()</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < dim - <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>(); ++i) {</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> shape[i] = 1;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="comment">// Collapse higher dimensions in case dim < ndim()</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>() - dim + 1; ++i) {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> shape[0] *= shape_[i];</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="comment">// Preserve lower dimensions.</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = <a class="code" href="namespacemxnet_1_1cpp.html#ad05606e0a5d09bd362da4bb319e4790c">std::max</a>(0, <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>() - dim + 1); i < <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>(); ++i) {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> shape[i - <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>() + dim] = shape_[i];</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> <span class="keywordflow">return</span> this->get_with_shape<Device, dim, DType>(shape, stream);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="keyword">static</span> DLDataType DTypeTransform(<span class="keywordtype">int</span> type_flag) {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="keyword">static</span> std::unordered_map<int, DLDataType></div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> MSHADOW_DTYPE_TO_DLPACK_DTYPE = {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> {0, {2, 32, 1}}, <span class="comment">// Float32</span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> {1, {2, 64, 1}}, <span class="comment">// Float64</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> {2, {2, 16, 1}}, <span class="comment">// Float16</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> {3, {1, 8, 1}}, <span class="comment">// UInt8</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> {4, {0, 32, 1}}, <span class="comment">// Int32</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> {5, {0, 8, 1}} <span class="comment">// Int8</span></div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> };</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <span class="keywordflow">return</span> MSHADOW_DTYPE_TO_DLPACK_DTYPE[type_flag];</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> SetDLTensor(<span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>, <span class="keywordtype">int</span> <a class="code" href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">dev_id</a>) {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> dltensor_.data = <a class="code" href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">dptr_</a>;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> dltensor_.ctx = DLContext{<span class="keyword">static_cast<</span>DLDeviceType<span class="keyword">></span>(<a class="code" href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">dev_mask</a>), dev_id};</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> dltensor_.ndim = shape_.ndim();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> dltensor_.dtype = DTypeTransform(type_flag_);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> dltensor_.shape = shape_.data();</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> dltensor_.strides = NULL;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> dltensor_.byte_offset = 0;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> DLTensor dltensor_;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> };</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> } <span class="comment">// namespace mxnet</span></div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="keyword">namespace </span><a class="code" href="namespacedmlc.html">dmlc</a> {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> <span class="comment">// Add a few patches to support TShape in dmlc/parameter.</span></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> <a class="code" href="namespacedmlc.html#aa4d7485dc06589628bb4488ec9e8b1c9">DMLC_DECLARE_TYPE_NAME</a>(<a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">mxnet::TShape</a>, <span class="stringliteral">"Shape(tuple)"</span>);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <a class="code" href="namespacedmlc.html#aa4d7485dc06589628bb4488ec9e8b1c9">DMLC_DECLARE_TYPE_NAME</a>(nnvm::Tuple<int>, <span class="stringliteral">"Shape(tuple)"</span>);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> <a class="code" href="namespacedmlc.html#aa4d7485dc06589628bb4488ec9e8b1c9">DMLC_DECLARE_TYPE_NAME</a>(nnvm::Tuple<dmlc::optional<int>>, <span class="stringliteral">"Shape(tuple)"</span>);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="namespacedmlc_1_1parameter.html"> 377</a></span> <span class="keyword">namespace </span>parameter {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> <span class="keyword">template</span><></div><div class="line"><a name="l00380"></a><span class="lineno"><a class="line" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html"> 380</a></span> <span class="keyword">class </span>FieldEntry<<a class="code" href="namespacemxnet.html">mxnet</a>::<a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">TShape</a>></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> : <span class="keyword">public</span> FieldEntryBase<FieldEntry<mxnet::TShape>, mxnet::TShape> {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00383"></a><span class="lineno"><a class="line" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a0755f0abe443e4b57da234ec7b49fde0"> 383</a></span> <a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a0755f0abe443e4b57da234ec7b49fde0">FieldEntry</a>() : enforce_nonzero_(false), expect_ndim_(0) {}</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="comment">// parent class</span></div><div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#ac6a42c993f66fceb5022b330e5672b6c"> 385</a></span> <span class="keyword">typedef</span> FieldEntryBase<FieldEntry<mxnet::TShape>, <a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">mxnet::TShape</a>> <a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#ac6a42c993f66fceb5022b330e5672b6c">Parent</a>;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a63affafc149cac4c39702c55cf94fdcf"> 387</a></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a63affafc149cac4c39702c55cf94fdcf">Check</a>(<span class="keywordtype">void</span> *head)<span class="keyword"> const </span>{</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> Parent::Check(head);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> <a class="code" href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">mxnet::TShape</a> &v = this->Get(head);</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> <span class="keywordflow">if</span> (expect_ndim_ != 0 && v.ndim() != expect_ndim_) {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> std::ostringstream os;</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> os << <span class="stringliteral">"value "</span> << v << <span class="stringliteral">"for Parameter "</span> << this->key_</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> << <span class="stringliteral">" has wrong dimensions, expected dimension="</span> << expect_ndim_;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> <span class="keywordflow">throw</span> dmlc::ParamError(os.str());</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="keywordflow">if</span> (enforce_nonzero_) {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="keywordflow">for</span> (<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">mxnet::index_t</a> i = 0; i < v.ndim(); ++i) {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="keywordflow">if</span> (v[i] == 0U) {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> std::ostringstream os;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> os << <span class="stringliteral">"value "</span> << v << <span class="stringliteral">"for Parameter "</span> << this->key_</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> << <span class="stringliteral">" is invalid, the input shape must be nonzero in all dimensions"</span>;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="keywordflow">throw</span> dmlc::ParamError(os.str());</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> }</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> }</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> }</div><div class="line"><a name="l00407"></a><span class="lineno"><a class="line" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#afa1da539bf9bcb64d3b5a55aec23e8c2"> 407</a></span> <span class="keyword">inline</span> <a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html">FieldEntry<mxnet::TShape></a> &<a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#afa1da539bf9bcb64d3b5a55aec23e8c2">enforce_nonzero</a>() {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> this->enforce_nonzero_ = <span class="keyword">true</span>;</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> <span class="keywordflow">return</span> this-><span class="keyword">self</span>();</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> }</div><div class="line"><a name="l00411"></a><span class="lineno"><a class="line" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a9e17b866c2cbae2c0fb1af2003c0cfde"> 411</a></span> <span class="keyword">inline</span> <a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html">FieldEntry<mxnet::TShape></a> &<a class="code" href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a9e17b866c2cbae2c0fb1af2003c0cfde">set_expect_ndim</a>(<a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">mxnet::index_t</a> <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>) {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> expect_ndim_ = <a class="code" href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">ndim</a>;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="keywordflow">return</span> this-><span class="keyword">self</span>();</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> <span class="comment">// whether all the entries need to be nonzero</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> <span class="keywordtype">bool</span> enforce_nonzero_;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> <span class="comment">// expected number of dimension, default = 0 means no restriction.</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <a class="code" href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">mxnet::index_t</a> expect_ndim_;</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> };</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> } <span class="comment">// namespace parameter</span></div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> } <span class="comment">// namespace dmlc</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> <span class="preprocessor">#endif // MXNET_TENSOR_BLOB_H_</span></div><div class="ttc" id="classmxnet_1_1TBlob_html_ad3263d9d1ef40678cd592be822d1c7be"><div class="ttname"><a href="classmxnet_1_1TBlob.html#ad3263d9d1ef40678cd592be822d1c7be">mxnet::TBlob::operator=</a></div><div class="ttdeci">TBlob & operator=(const mshadow::Tensor< Device, dim, DType > &src)</div><div class="ttdoc">assignment from tensor </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:132</div></div> |
| <div class="ttc" id="namespacedmlc_html_aa4d7485dc06589628bb4488ec9e8b1c9"><div class="ttname"><a href="namespacedmlc.html#aa4d7485dc06589628bb4488ec9e8b1c9">dmlc::DMLC_DECLARE_TYPE_NAME</a></div><div class="ttdeci">DMLC_DECLARE_TYPE_NAME(nnvm::Tuple< dmlc::optional< int >>,"Shape(tuple)")</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a6cc7a57d9c33fefc08630e81951a004f"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a6cc7a57d9c33fefc08630e81951a004f">mxnet::TBlob::shape_</a></div><div class="ttdeci">TShape shape_</div><div class="ttdoc">shape of the tensor </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:64</div></div> |
| <div class="ttc" id="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4_html_a9e17b866c2cbae2c0fb1af2003c0cfde"><div class="ttname"><a href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a9e17b866c2cbae2c0fb1af2003c0cfde">dmlc::parameter::FieldEntry< mxnet::TShape >::set_expect_ndim</a></div><div class="ttdeci">FieldEntry< mxnet::TShape > & set_expect_ndim(mxnet::index_t ndim)</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:411</div></div> |
| <div class="ttc" id="namespacemxnet_html"><div class="ttname"><a href="namespacemxnet.html">mxnet</a></div><div class="ttdoc">namespace of mxnet </div><div class="ttdef"><b>Definition:</b> base.h:126</div></div> |
| <div class="ttc" id="namespacemxnet_html_a4421326e33f2a848cb2fa3e70ab24ff4"><div class="ttname"><a href="namespacemxnet.html#a4421326e33f2a848cb2fa3e70ab24ff4">mxnet::real_t</a></div><div class="ttdeci">mshadow::default_real_t real_t</div><div class="ttdoc">data type that will be used to store ndarray </div><div class="ttdef"><b>Definition:</b> base.h:134</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_adcdc6de67f81454f0a142bfc9fd38c9e"><div class="ttname"><a href="classmxnet_1_1TBlob.html#adcdc6de67f81454f0a142bfc9fd38c9e">mxnet::TBlob::TBlob</a></div><div class="ttdeci">TBlob(void)</div><div class="ttdoc">storing mkl chunk buffer blob, use for experimental only </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:73</div></div> |
| <div class="ttc" id="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4_html"><div class="ttname"><a href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html">dmlc::parameter::FieldEntry< mxnet::TShape ></a></div><div class="ttdef"><b>Definition:</b> tensor_blob.h:380</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a4649b740b80a6045754cb2389cfcca61"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a4649b740b80a6045754cb2389cfcca61">mxnet::TBlob::type_flag_</a></div><div class="ttdeci">int type_flag_</div><div class="ttdoc">type flag of the tensor blob </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:66</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_abbdbdc8d02c15e854cc7f5fe5dc09f61"><div class="ttname"><a href="classmxnet_1_1TBlob.html#abbdbdc8d02c15e854cc7f5fe5dc09f61">mxnet::TBlob::get_with_shape</a></div><div class="ttdeci">mshadow::Tensor< Device, dim, DType > get_with_shape(const mshadow::Shape< dim > &shape, mshadow::Stream< Device > *stream=NULL) const </div><div class="ttdoc">fetch a tensor in given shape If size do not match the stored size, an error will be issued ...</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:269</div></div> |
| <div class="ttc" id="namespacemxnet_html_a6e14bb5f6ffc81892feca8d1da658687"><div class="ttname"><a href="namespacemxnet.html#a6e14bb5f6ffc81892feca8d1da658687">mxnet::TShape</a></div><div class="ttdeci">nnvm::TShape TShape</div><div class="ttdoc">Shape data structure used to record shape information. </div><div class="ttdef"><b>Definition:</b> base.h:136</div></div> |
| <div class="ttc" id="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4_html_afa1da539bf9bcb64d3b5a55aec23e8c2"><div class="ttname"><a href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#afa1da539bf9bcb64d3b5a55aec23e8c2">dmlc::parameter::FieldEntry< mxnet::TShape >::enforce_nonzero</a></div><div class="ttdeci">FieldEntry< mxnet::TShape > & enforce_nonzero()</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:407</div></div> |
| <div class="ttc" id="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4_html_ac6a42c993f66fceb5022b330e5672b6c"><div class="ttname"><a href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#ac6a42c993f66fceb5022b330e5672b6c">dmlc::parameter::FieldEntry< mxnet::TShape >::Parent</a></div><div class="ttdeci">FieldEntryBase< FieldEntry< mxnet::TShape >, mxnet::TShape > Parent</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:385</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a95bf7032c2b90627510a89ac8bb2946f"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a95bf7032c2b90627510a89ac8bb2946f">mxnet::TBlob::FlatTo1D</a></div><div class="ttdeci">mshadow::Tensor< Device, 1, DType > FlatTo1D(mshadow::Stream< Device > *stream=NULL) const </div><div class="ttdoc">flatten the tensor to 1 dimension, collapse all the dimensions together. </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:192</div></div> |
| <div class="ttc" id="namespacemxnet_1_1cpp_html_ad05606e0a5d09bd362da4bb319e4790c"><div class="ttname"><a href="namespacemxnet_1_1cpp.html#ad05606e0a5d09bd362da4bb319e4790c">mxnet::cpp::max</a></div><div class="ttdeci">Symbol max(const std::string &symbol_name, Symbol data, Shape axis=Shape(), bool keepdims=false, bool exclude=false)</div><div class="ttdef"><b>Definition:</b> op.h:2282</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a523fd58883de4b9cd0b1a2852daa64ae"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a523fd58883de4b9cd0b1a2852daa64ae">mxnet::TBlob::size</a></div><div class="ttdeci">index_t size(index_t idx) const </div><div class="ttdoc">return size of i-th dimension, start counting from highest dimension </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:206</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a4e5f4953be2c16724ecff0afc5ea2e10"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a4e5f4953be2c16724ecff0afc5ea2e10">mxnet::TBlob::dptr_</a></div><div class="ttdeci">void * dptr_</div><div class="ttdoc">pointer to the data </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:62</div></div> |
| <div class="ttc" id="namespacedmlc_html"><div class="ttname"><a href="namespacedmlc.html">dmlc</a></div><div class="ttdef"><b>Definition:</b> ndarray.h:804</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a3449ca0a9130e87c343130b041b68c53"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a3449ca0a9130e87c343130b041b68c53">mxnet::TBlob::dptr</a></div><div class="ttdeci">DType * dptr() const </div><div class="ttdoc">get pointer in dtype </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:215</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a3be3b640e59a480b8ac5369d73b117de"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a3be3b640e59a480b8ac5369d73b117de">mxnet::TBlob::ndim</a></div><div class="ttdeci">int ndim(void) const </div><div class="ttdoc">return number of dimension of the tensor inside </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:198</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_aae92a89345aad79c8c3b451b9e3b84a5"><div class="ttname"><a href="classmxnet_1_1TBlob.html#aae92a89345aad79c8c3b451b9e3b84a5">mxnet::TBlob::TBlob</a></div><div class="ttdeci">TBlob(const mshadow::Tensor< Device, dim, DType > &src)</div><div class="ttdoc">constructor from tensor </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:120</div></div> |
| <div class="ttc" id="include_2mxnet_2base_8h_html"><div class="ttname"><a href="include_2mxnet_2base_8h.html">base.h</a></div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a519111d4450efa8e58cc10cfc1dbeca7"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a519111d4450efa8e58cc10cfc1dbeca7">mxnet::TBlob::dltensor</a></div><div class="ttdeci">const DLTensor & dltensor() const </div><div class="ttdoc">return the corresponding DLTensor </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:238</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_ada83447eb80b913592e9ac2bf8c5740f"><div class="ttname"><a href="classmxnet_1_1TBlob.html#ada83447eb80b913592e9ac2bf8c5740f">mxnet::TBlob::FlatTo3D</a></div><div class="ttdeci">mshadow::Tensor< Device, 3, DType > FlatTo3D(int axis_begin, int axis_end, mshadow::Stream< Device > *stream=NULL) const </div><div class="ttdoc">flatten the tensor to 3 dimension, collapse the dimension: [0, axis_begin), [axis_begin, axis_end], (axis_end, ndim). </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:306</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_aa2f8e15eb1fc21e159c496ec0d499b6f"><div class="ttname"><a href="classmxnet_1_1TBlob.html#aa2f8e15eb1fc21e159c496ec0d499b6f">mxnet::TBlob::FlatToKD</a></div><div class="ttdeci">mshadow::Tensor< Device, dim, DType > FlatToKD(mshadow::Stream< Device > *stream=NULL) const </div><div class="ttdoc">flatten the tensor to specified number of dimensions, collapse the highest dimensions or pad with hig...</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:322</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a23cc57be3b2c40a269c8c9f242fa0532"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a23cc57be3b2c40a269c8c9f242fa0532">mxnet::TBlob::FlatTo2D</a></div><div class="ttdeci">mshadow::Tensor< Device, 2, DType > FlatTo2D(mshadow::Stream< Device > *stream=NULL) const </div><div class="ttdoc">flatten the tensor to 2 dimension, collapse the higher dimensions together </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:167</div></div> |
| <div class="ttc" id="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4_html_a63affafc149cac4c39702c55cf94fdcf"><div class="ttname"><a href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a63affafc149cac4c39702c55cf94fdcf">dmlc::parameter::FieldEntry< mxnet::TShape >::Check</a></div><div class="ttdeci">virtual void Check(void *head) const </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:387</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a3b04db1348834e1576cfb2ed54959703"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a3b04db1348834e1576cfb2ed54959703">mxnet::TBlob::Size</a></div><div class="ttdeci">index_t Size(void) const </div><div class="ttdoc">total number of elements in the tensor </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:210</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_aa6cfdf8823a601602b6b56011af4b874"><div class="ttname"><a href="classmxnet_1_1TBlob.html#aa6cfdf8823a601602b6b56011af4b874">mxnet::TBlob::CheckContiguous</a></div><div class="ttdeci">bool CheckContiguous(void) const </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:145</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_af89975f6a6de34624a1ee7fbc43df8fa"><div class="ttname"><a href="classmxnet_1_1TBlob.html#af89975f6a6de34624a1ee7fbc43df8fa">mxnet::TBlob::TBlob</a></div><div class="ttdeci">TBlob(DType *dptr, const TShape &shape, int dev_mask, int dev_id=-1)</div><div class="ttdoc">constructor that construct TBlob from contiguous memory </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:89</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_ac5cd4953869cb66ed374854a34da40f8"><div class="ttname"><a href="classmxnet_1_1TBlob.html#ac5cd4953869cb66ed374854a34da40f8">mxnet::TBlob::FlatTo3D</a></div><div class="ttdeci">mshadow::Tensor< Device, 3, DType > FlatTo3D(int axis, mshadow::Stream< Device > *stream=NULL) const </div><div class="ttdoc">flatten the tensor to 3 dimension, collapse the dimension before and after specified axis...</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:290</div></div> |
| <div class="ttc" id="namespacemxnet_html_abadedc1b42ee3e5b8852e63783b982ef"><div class="ttname"><a href="namespacemxnet.html#abadedc1b42ee3e5b8852e63783b982ef">mxnet::index_t</a></div><div class="ttdeci">mshadow::index_t index_t</div><div class="ttdoc">index type usually use unsigned </div><div class="ttdef"><b>Definition:</b> base.h:132</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a660f447fbe40782e1db6a993ab1e37b4"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a660f447fbe40782e1db6a993ab1e37b4">mxnet::TBlob::TBlob</a></div><div class="ttdeci">TBlob(void *dptr, const TShape &shape, int dev_mask, int type_flag, int dev_id=-1)</div><div class="ttdoc">constructor that construct TBlob from contiguous memory </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:105</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a0c66b10f5a17528cc858762b60125789"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a0c66b10f5a17528cc858762b60125789">mxnet::TBlob::reshape</a></div><div class="ttdeci">TBlob reshape(const TShape &shape) const </div><div class="ttdoc">reshape to shape </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:153</div></div> |
| <div class="ttc" id="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4_html_a0755f0abe443e4b57da234ec7b49fde0"><div class="ttname"><a href="classdmlc_1_1parameter_1_1FieldEntry_3_01mxnet_1_1TShape_01_4.html#a0755f0abe443e4b57da234ec7b49fde0">dmlc::parameter::FieldEntry< mxnet::TShape >::FieldEntry</a></div><div class="ttdeci">FieldEntry()</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:383</div></div> |
| <div class="ttc" id="classmxnet_1_1NDArray_html"><div class="ttname"><a href="classmxnet_1_1NDArray.html">mxnet::NDArray</a></div><div class="ttdoc">ndarray interface </div><div class="ttdef"><b>Definition:</b> ndarray.h:77</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a613ad1f5ba31efcbecbd041e23cc61b2"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a613ad1f5ba31efcbecbd041e23cc61b2">mxnet::TBlob::dev_mask</a></div><div class="ttdeci">int dev_mask() const </div><div class="ttdoc">device mask of the corresponding device </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:227</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html"><div class="ttname"><a href="classmxnet_1_1TBlob.html">mxnet::TBlob</a></div><div class="ttdoc">tensor blob class that can be used to hold tensor of any dimension, any device and any data type...</div><div class="ttdef"><b>Definition:</b> tensor_blob.h:58</div></div> |
| <div class="ttc" id="classmxnet_1_1TBlob_html_a5dc3a399b0119175643da0d35fde7edd"><div class="ttname"><a href="classmxnet_1_1TBlob.html#a5dc3a399b0119175643da0d35fde7edd">mxnet::TBlob::dev_id</a></div><div class="ttdeci">int dev_id() const </div><div class="ttdoc">device index of the corresponding device </div><div class="ttdef"><b>Definition:</b> tensor_blob.h:231</div></div> |
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