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    88. 

  88.   <h1>Source code for super_gradients.training.exceptions.dataset_exceptions</h1><div class="highlight"><pre>
    89. 

  89. <span></span>
    90. 

  90. <div class="viewcode-block" id="IllegalDatasetParameterException"><a class="viewcode-back" href="../../../../super_gradients.training.exceptions.html#super_gradients.training.exceptions.dataset_exceptions.IllegalDatasetParameterException">[docs]</a><span class="k">class</span> <span class="nc">IllegalDatasetParameterException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
    91. 

  91.     <span class="sd">&quot;&quot;&quot;</span>
    92. 

  92. <span class="sd">    Exception raised illegal dataset param.</span>
    93. 

  93. 

  94. <span class="sd">    Attributes:</span>
    95. 

  95. <span class="sd">        message -- explanation of the error</span>
    96. 

  96. <span class="sd">    &quot;&quot;&quot;</span>
    97. 

  97. 

  98.     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">desc</span><span class="p">):</span>
    99. 

  99.         <span class="bp">self</span><span class="o">.</span><span class="n">message</span> <span class="o">=</span> <span class="s2">&quot;Unsupported dataset parameter format: &quot;</span> <span class="o">+</span> <span class="n">desc</span>
    100. 

  100.         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">message</span><span class="p">)</span></div>
    101. 

  101. 

  102. 

  103. <div class="viewcode-block" id="EmptyDatasetException"><a class="viewcode-back" href="../../../../super_gradients.training.exceptions.html#super_gradients.training.exceptions.dataset_exceptions.EmptyDatasetException">[docs]</a><span class="k">class</span> <span class="nc">EmptyDatasetException</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
    104. 

  104.     <span class="sd">&quot;&quot;&quot;</span>
    105. 

  105. <span class="sd">    Exception raised when a dataset does not have any image for a specific config</span>
    106. 

  106. 

  107. <span class="sd">    Attributes:</span>
    108. 

  108. <span class="sd">        message -- explanation of the error</span>
    109. 

  109. <span class="sd">    &quot;&quot;&quot;</span>
    110. 

  110. 

  111.     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">desc</span><span class="p">):</span>
    112. 

  112.         <span class="bp">self</span><span class="o">.</span><span class="n">message</span> <span class="o">=</span> <span class="s2">&quot;Empty Dataset: &quot;</span> <span class="o">+</span> <span class="n">desc</span>
    113. 

  113.         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">message</span><span class="p">)</span></div>
    114. 

  114. 

  115. 

  116. <div class="viewcode-block" id="UnsupportedBatchItemsFormat"><a class="viewcode-back" href="../../../../super_gradients.training.exceptions.html#super_gradients.training.exceptions.dataset_exceptions.UnsupportedBatchItemsFormat">[docs]</a><span class="k">class</span> <span class="nc">UnsupportedBatchItemsFormat</span><span class="p">(</span><span class="ne">ValueError</span><span class="p">):</span>
    117. 

  117.     <span class="sd">&quot;&quot;&quot;Exception raised illegal batch items returned from data loader.</span>
    118. 

  118. 

  119. <span class="sd">    Attributes:</span>
    120. 

  120. <span class="sd">        message -- explanation of the error</span>
    121. 

  121. <span class="sd">    &quot;&quot;&quot;</span>
    122. 

  122. 

  123.     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
    124. 

  124.         <span class="bp">self</span><span class="o">.</span><span class="n">message</span> <span class="o">=</span> <span class="s2">&quot;Batch items returned by the data loader expected format: </span><span class="se">\n</span><span class="s2">&quot;</span> \
    125. 

  125.                        <span class="s2">&quot;1. torch.Tensor or tuple, s.t inputs = batch_items[0], targets = batch_items[1] and len(&quot;</span> \
    126. 

  126.                        <span class="s2">&quot;batch_items) = 2 </span><span class="se">\n</span><span class="s2">&quot;</span> \
    127. 

  127.                        <span class="s2">&quot;2. tuple: (inputs, targets, additional_batch_items)&quot;</span>
    128. 

  128.         <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">message</span><span class="p">)</span></div>
    129. 

  129. </pre></div>
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