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  69.   <h1>Source code for super_gradients.training.exceptions.dataset_exceptions</h1><div class="highlight"><pre>
    70. 

  70. <span></span>
    71. 

  71. <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>
    72. 

  72.     <span class="sd">&quot;&quot;&quot;</span>
    73. 

  73. <span class="sd">    Exception raised illegal dataset param.</span>
    74. 

  74. 

  75. <span class="sd">    Attributes:</span>
    76. 

  76. <span class="sd">        message -- explanation of the error</span>
    77. 

  77. <span class="sd">    &quot;&quot;&quot;</span>
    78. 

  78. 

  79.     <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>
    80. 

  80.         <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>
    81. 

  81.         <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>
    82. 

  82. 

  83. 

  84. <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>
    85. 

  85.     <span class="sd">&quot;&quot;&quot;Exception raised illegal batch items returned from data loader.</span>
    86. 

  86. 

  87. <span class="sd">    Attributes:</span>
    88. 

  88. <span class="sd">        message -- explanation of the error</span>
    89. 

  89. <span class="sd">    &quot;&quot;&quot;</span>
    90. 

  90. 

  91.     <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
    92. 

  92.         <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> \
    93. 

  93.                        <span class="s2">&quot;1. torch.Tensor or tuple, s.t inputs = batch_items[0], targets = batch_items[1] and len(&quot;</span> \
    94. 

  94.                        <span class="s2">&quot;batch_items) = 2 </span><span class="se">\n</span><span class="s2">&quot;</span> \
    95. 

  95.                        <span class="s2">&quot;2. tuple: (inputs, targets, additional_batch_items)&quot;</span>
    96. 

  96.         <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>
    97. 

  97. </pre></div>
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