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<h1>Source code for torch.func</h1><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">torch._functorch.eager_transforms</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">grad_and_value</span><span class="p">,</span>
<span class="n">vjp</span><span class="p">,</span>
<span class="n">jvp</span><span class="p">,</span>
<span class="n">jacrev</span><span class="p">,</span>
<span class="n">jacfwd</span><span class="p">,</span>
<span class="n">hessian</span><span class="p">,</span>
<span class="n">functionalize</span><span class="p">,</span>
<span class="n">linearize</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">torch._functorch.apis</span> <span class="kn">import</span> <span class="n">grad</span>
<span class="kn">from</span> <span class="nn">torch._functorch.functional_call</span> <span class="kn">import</span> <span class="n">functional_call</span><span class="p">,</span> <span class="n">stack_module_state</span>
<span class="kn">from</span> <span class="nn">torch._functorch.batch_norm_replacement</span> <span class="kn">import</span> <span class="n">replace_all_batch_norm_modules_</span>
<span class="kn">from</span> <span class="nn">torch._functorch.apis</span> <span class="kn">import</span> <span class="n">vmap</span>
</pre></div>
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