ecoderInputs&#00;</span><span class="p">,</span> <span class="p">})</span>  <span class="kr">const</span> <span class="nx">decoderEmbedding</span> <span class="o">=</span> <span class="nx">decoderEmbeddingLayer</span><span class="p">.</span><span class="nx">apply</span><span class="p">(</span><span class="nx">decoderInputs</span><span class="p">)</span> <span class="nx">as</span> <span class="nx">tf</span><span class="p">.</span><span class="nx">SymbolicTensor</span>  <span class="kr">const</span> <span class="p">[</span><span class="nx">decoderOutputs</span><span class="p">,]</span> <span class="o">=</span> <span class="nx">decoderRnnLayer</span><span class="p">.</span><span class="nx">apply</span><span class="p">(</span>   <span class="p">[</span><span class="nx">decoderEmbedding</span><span class="p">,</span> <span class="nx">encoderState</span><span class="p">],</span>   <span class="p">{</span>     <span class="nx">returnSequences</span><span class="o">:</span> <span class="kc">true</span><span class="p">,</span>     <span class="nx">returnState</span><span class="o">:</span> <span class="kc">true</span><span class="p">,</span>   <span class="p">},</span> <span class="p">)</span> <span class="nx">as</span> <span class="nx">tf</span><span class="p">.</span><span class="nx">SymbolicTensor</span><span class="p">[]</span>  <span class="kr">const</span> <span class="nx">decoderTargets</span> <span class="o">=</span> <span class="nx">decoderDenseLayer</span><span class="p">.</span><span class="nx">apply</span><span class="p">(</span><span class="nx">decoderOutputs</span><span class="p">)</span> <span class="nx">as</span> <span class="nx">tf</span><span class="p">.</span><span class="nx">SymbolicTensor</span>  <span class="kr">const</span> <span class="nx">seq0seqModel</span> <span class="o">=</span> <span class="nx">tf</span><span class="p">.</span><span class="nx">model</span><span class="p">({</span>   <span class="nx">inputs</span><span class="o">:</span> <span class="p">[</span><span class="nx">inputs</span><span class="p">,</span> <span class="nx">decoderInputs</span><span class="p">],</span>   <span class="nx">outputs</span><span class="o">:</span> <span class="nx">decoder