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<title>Coverage for muutils/tensor_utils.py: 99%</title>
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<p class="pln"><span class="n"><a id="t1" href="#t1">1</a></span><span class="t"><span class="str">"""utilities for working with tensors and arrays.</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t2" href="#t2">2</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t3" href="#t3">3</a></span><span class="t"><span class="str">notably:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t4" href="#t4">4</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t5" href="#t5">5</a></span><span class="t"><span class="str">- `TYPE_TO_JAX_DTYPE` : a mapping from python, numpy, and torch types to `jaxtyping` types</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t6" href="#t6">6</a></span><span class="t"><span class="str">- `DTYPE_MAP` mapping string representations of types to their type</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t7" href="#t7">7</a></span><span class="t"><span class="str">- `TORCH_DTYPE_MAP` mapping string representations of types to torch types</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t8" href="#t8">8</a></span><span class="t"><span class="str">- `compare_state_dicts` for comparing two state dicts and giving a detailed error message on whether if was keys, shapes, or values that didn't match</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t9" href="#t9">9</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t10" href="#t10">10</a></span><span class="t"><span class="str">"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t11" href="#t11">11</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t12" href="#t12">12</a></span><span class="t"><span class="key">from</span> <span class="nam">__future__</span> <span class="key">import</span> <span class="nam">annotations</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t13" href="#t13">13</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t14" href="#t14">14</a></span><span class="t"><span class="key">import</span> <span class="nam">json</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t15" href="#t15">15</a></span><span class="t"><span class="key">import</span> <span class="nam">typing</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t16" href="#t16">16</a></span><span class="t"><span class="key">from</span> <span class="nam">typing</span> <span class="key">import</span> <span class="nam">Any</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t17" href="#t17">17</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t18" href="#t18">18</a></span><span class="t"><span class="key">import</span> <span class="nam">jaxtyping</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t19" href="#t19">19</a></span><span class="t"><span class="key">import</span> <span class="nam">numpy</span> <span class="key">as</span> <span class="nam">np</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t20" href="#t20">20</a></span><span class="t"><span class="key">import</span> <span class="nam">torch</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t21" href="#t21">21</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t22" href="#t22">22</a></span><span class="t"><span class="key">from</span> <span class="nam">muutils</span><span class="op">.</span><span class="nam">dictmagic</span> <span class="key">import</span> <span class="nam">dotlist_to_nested_dict</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t23" href="#t23">23</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t24" href="#t24">24</a></span><span class="t"><span class="com"># pylint: disable=missing-class-docstring</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t25" href="#t25">25</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t26" href="#t26">26</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t27" href="#t27">27</a></span><span class="t"><span class="nam">TYPE_TO_JAX_DTYPE</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">Any</span><span class="op">,</span> <span class="nam">Any</span><span class="op">]</span> <span class="op">=</span> <span class="op">{</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t28" href="#t28">28</a></span><span class="t"> <span class="nam">float</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t29" href="#t29">29</a></span><span class="t"> <span class="nam">int</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t30" href="#t30">30</a></span><span class="t"> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t31" href="#t31">31</a></span><span class="t"> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t32" href="#t32">32</a></span><span class="t"> <span class="com"># bool</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t33" href="#t33">33</a></span><span class="t"> <span class="nam">bool</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Bool</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t34" href="#t34">34</a></span><span class="t"> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Bool</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Bool</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t35" href="#t35">35</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">bool_</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Bool</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t36" href="#t36">36</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">bool</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Bool</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t37" href="#t37">37</a></span><span class="t"> <span class="com"># numpy float</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t38" href="#t38">38</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">float16</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t39" href="#t39">39</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">float32</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t40" href="#t40">40</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">float64</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t41" href="#t41">41</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">half</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t42" href="#t42">42</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">single</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t43" href="#t43">43</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">double</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t44" href="#t44">44</a></span><span class="t"> <span class="com"># numpy int</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t45" href="#t45">45</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int8</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t46" href="#t46">46</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int16</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t47" href="#t47">47</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int32</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t48" href="#t48">48</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int64</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t49" href="#t49">49</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">longlong</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t50" href="#t50">50</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">short</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t51" href="#t51">51</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">uint8</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t52" href="#t52">52</a></span><span class="t"> <span class="com"># torch float</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t53" href="#t53">53</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t54" href="#t54">54</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float16</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t55" href="#t55">55</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float32</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t56" href="#t56">56</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float64</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t57" href="#t57">57</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">half</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t58" href="#t58">58</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">double</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t59" href="#t59">59</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">bfloat16</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t60" href="#t60">60</a></span><span class="t"> <span class="com"># torch int</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t61" href="#t61">61</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t62" href="#t62">62</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int8</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t63" href="#t63">63</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int16</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t64" href="#t64">64</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int32</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t65" href="#t65">65</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int64</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t66" href="#t66">66</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">long</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t67" href="#t67">67</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">short</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t68" href="#t68">68</a></span><span class="t"><span class="op">}</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t69" href="#t69">69</a></span><span class="t"><span class="str">"dict mapping python, numpy, and torch types to `jaxtyping` types"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t70" href="#t70">70</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t71" href="#t71">71</a></span><span class="t"><span class="com"># np.float_ and np.int_ were deprecated in numpy 1.20 and removed in 2.0</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t72" href="#t72">72</a></span><span class="t"><span class="com"># use try/except for backwards compatibility and type checker friendliness</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t73" href="#t73">73</a></span><span class="t"><span class="key">try</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t74" href="#t74">74</a></span><span class="t"> <span class="nam">TYPE_TO_JAX_DTYPE</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">float_</span><span class="op">]</span> <span class="op">=</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Float</span> <span class="com"># type: ignore[attr-defined] # pyright: ignore[reportAttributeAccessIssue]</span> </span><span class="r"></span></p>
<p class="mis show_mis"><span class="n"><a id="t75" href="#t75">75</a></span><span class="t"> <span class="nam">TYPE_TO_JAX_DTYPE</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">int_</span><span class="op">]</span> <span class="op">=</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Int</span> <span class="com"># type: ignore[attr-defined] # pyright: ignore[reportAttributeAccessIssue]</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t76" href="#t76">76</a></span><span class="t"><span class="key">except</span> <span class="nam">AttributeError</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t77" href="#t77">77</a></span><span class="t"> <span class="key">pass</span> <span class="com"># numpy 2.0+ removed these deprecated aliases</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t78" href="#t78">78</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t79" href="#t79">79</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t80" href="#t80">80</a></span><span class="t"><span class="com"># TODO: add proper type annotations to this signature</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t81" href="#t81">81</a></span><span class="t"><span class="com"># TODO: maybe get rid of this altogether?</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t82" href="#t82">82</a></span><span class="t"><span class="com"># def jaxtype_factory(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t83" href="#t83">83</a></span><span class="t"><span class="com"># name: str,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t84" href="#t84">84</a></span><span class="t"><span class="com"># array_type: type,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t85" href="#t85">85</a></span><span class="t"><span class="com"># default_jax_dtype: type[jaxtyping.Float | jaxtyping.Int | jaxtyping.Bool] = jaxtyping.Float,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t86" href="#t86">86</a></span><span class="t"><span class="com"># legacy_mode: typing.Union[ErrorMode, str] = ErrorMode.WARN,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t87" href="#t87">87</a></span><span class="t"><span class="com"># ) -> type:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t88" href="#t88">88</a></span><span class="t"><span class="com"># """usage:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t89" href="#t89">89</a></span><span class="t"><span class="com"># ```</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t90" href="#t90">90</a></span><span class="t"><span class="com"># ATensor = jaxtype_factory("ATensor", torch.Tensor, jaxtyping.Float)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t91" href="#t91">91</a></span><span class="t"><span class="com"># x: ATensor["dim1 dim2", np.float32]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t92" href="#t92">92</a></span><span class="t"><span class="com"># ```</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t93" href="#t93">93</a></span><span class="t"><span class="com"># """</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t94" href="#t94">94</a></span><span class="t"><span class="com"># legacy_mode_ = ErrorMode.from_any(legacy_mode)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t95" href="#t95">95</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t96" href="#t96">96</a></span><span class="t"><span class="com"># class _BaseArray:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t97" href="#t97">97</a></span><span class="t"><span class="com"># """jaxtyping shorthand</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t98" href="#t98">98</a></span><span class="t"><span class="com"># (backwards compatible with older versions of muutils.tensor_utils)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t99" href="#t99">99</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t100" href="#t100">100</a></span><span class="t"><span class="com"># default_jax_dtype = {default_jax_dtype}</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t101" href="#t101">101</a></span><span class="t"><span class="com"># array_type = {array_type}</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t102" href="#t102">102</a></span><span class="t"><span class="com"># """</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t103" href="#t103">103</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t104" href="#t104">104</a></span><span class="t"><span class="com"># def __new__(cls, *args: Any, **kwargs: Any) -> typing.NoReturn:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t105" href="#t105">105</a></span><span class="t"><span class="com"># raise TypeError("Type FArray cannot be instantiated.")</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t106" href="#t106">106</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t107" href="#t107">107</a></span><span class="t"><span class="com"># def __init_subclass__(cls, *args: Any, **kwargs: Any) -> typing.NoReturn:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t108" href="#t108">108</a></span><span class="t"><span class="com"># raise TypeError(f"Cannot subclass {cls.__name__}")</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t109" href="#t109">109</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t110" href="#t110">110</a></span><span class="t"><span class="com"># @classmethod</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t111" href="#t111">111</a></span><span class="t"><span class="com"># def param_info(cls, params: typing.Union[str, tuple[Any, ...]]) -> str:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t112" href="#t112">112</a></span><span class="t"><span class="com"># """useful for error printing"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t113" href="#t113">113</a></span><span class="t"><span class="com"># return "\n".join(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t114" href="#t114">114</a></span><span class="t"><span class="com"># f"{k} = {v}"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t115" href="#t115">115</a></span><span class="t"><span class="com"># for k, v in {</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t116" href="#t116">116</a></span><span class="t"><span class="com"># "cls.__name__": cls.__name__,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t117" href="#t117">117</a></span><span class="t"><span class="com"># "cls.__doc__": cls.__doc__,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t118" href="#t118">118</a></span><span class="t"><span class="com"># "params": params,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t119" href="#t119">119</a></span><span class="t"><span class="com"># "type(params)": type(params),</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t120" href="#t120">120</a></span><span class="t"><span class="com"># }.items()</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t121" href="#t121">121</a></span><span class="t"><span class="com"># )</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t122" href="#t122">122</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t123" href="#t123">123</a></span><span class="t"><span class="com"># @typing._tp_cache # type: ignore[attr-defined] # pyright: ignore[reportUnknownMemberType, reportAttributeAccessIssue]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t124" href="#t124">124</a></span><span class="t"><span class="com"># def __class_getitem__(cls, params: typing.Union[str, tuple[Any, ...]]) -> type: # type: ignore[misc]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t125" href="#t125">125</a></span><span class="t"><span class="com"># # MyTensor["dim1 dim2"]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t126" href="#t126">126</a></span><span class="t"><span class="com"># if isinstance(params, str):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t127" href="#t127">127</a></span><span class="t"><span class="com"># return default_jax_dtype[array_type, params]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t128" href="#t128">128</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t129" href="#t129">129</a></span><span class="t"><span class="com"># elif isinstance(params, tuple):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t130" href="#t130">130</a></span><span class="t"><span class="com"># if len(params) != 2:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t131" href="#t131">131</a></span><span class="t"><span class="com"># raise Exception(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t132" href="#t132">132</a></span><span class="t"><span class="com"># f"unexpected type for params, expected tuple of length 2 here:\n{cls.param_info(params)}"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t133" href="#t133">133</a></span><span class="t"><span class="com"># )</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t134" href="#t134">134</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t135" href="#t135">135</a></span><span class="t"><span class="com"># if isinstance(params[0], str):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t136" href="#t136">136</a></span><span class="t"><span class="com"># # MyTensor["dim1 dim2", int]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t137" href="#t137">137</a></span><span class="t"><span class="com"># return TYPE_TO_JAX_DTYPE[params[1]][array_type, params[0]]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t138" href="#t138">138</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t139" href="#t139">139</a></span><span class="t"><span class="com"># elif isinstance(params[0], tuple):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t140" href="#t140">140</a></span><span class="t"><span class="com"># legacy_mode_.process(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t141" href="#t141">141</a></span><span class="t"><span class="com"># f"legacy type annotation was used:\n{cls.param_info(params) = }",</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t142" href="#t142">142</a></span><span class="t"><span class="com"># except_cls=Exception,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t143" href="#t143">143</a></span><span class="t"><span class="com"># )</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t144" href="#t144">144</a></span><span class="t"><span class="com"># # MyTensor[("dim1", "dim2"), int]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t145" href="#t145">145</a></span><span class="t"><span class="com"># shape_anot: list[str] = list()</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t146" href="#t146">146</a></span><span class="t"><span class="com"># for x in params[0]:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t147" href="#t147">147</a></span><span class="t"><span class="com"># if isinstance(x, str):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t148" href="#t148">148</a></span><span class="t"><span class="com"># shape_anot.append(x)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t149" href="#t149">149</a></span><span class="t"><span class="com"># elif isinstance(x, int):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t150" href="#t150">150</a></span><span class="t"><span class="com"># shape_anot.append(str(x))</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t151" href="#t151">151</a></span><span class="t"><span class="com"># elif isinstance(x, tuple):</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t152" href="#t152">152</a></span><span class="t"><span class="com"># shape_anot.append("".join(str(y) for y in x))</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t153" href="#t153">153</a></span><span class="t"><span class="com"># else:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t154" href="#t154">154</a></span><span class="t"><span class="com"># raise Exception(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t155" href="#t155">155</a></span><span class="t"><span class="com"># f"unexpected type for params, expected first part to be str, int, or tuple:\n{cls.param_info(params)}"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t156" href="#t156">156</a></span><span class="t"><span class="com"># )</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t157" href="#t157">157</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t158" href="#t158">158</a></span><span class="t"><span class="com"># return TYPE_TO_JAX_DTYPE[params[1]][</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t159" href="#t159">159</a></span><span class="t"><span class="com"># array_type, " ".join(shape_anot)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t160" href="#t160">160</a></span><span class="t"><span class="com"># ]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t161" href="#t161">161</a></span><span class="t"><span class="com"># else:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t162" href="#t162">162</a></span><span class="t"><span class="com"># raise Exception(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t163" href="#t163">163</a></span><span class="t"><span class="com"># f"unexpected type for params:\n{cls.param_info(params)}"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t164" href="#t164">164</a></span><span class="t"><span class="com"># )</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t165" href="#t165">165</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t166" href="#t166">166</a></span><span class="t"><span class="com"># _BaseArray.__name__ = name</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t167" href="#t167">167</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t168" href="#t168">168</a></span><span class="t"><span class="com"># if _BaseArray.__doc__ is None:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t169" href="#t169">169</a></span><span class="t"><span class="com"># _BaseArray.__doc__ = "{default_jax_dtype = }\n{array_type = }"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t170" href="#t170">170</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t171" href="#t171">171</a></span><span class="t"><span class="com"># _BaseArray.__doc__ = _BaseArray.__doc__.format(</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t172" href="#t172">172</a></span><span class="t"><span class="com"># default_jax_dtype=repr(default_jax_dtype),</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t173" href="#t173">173</a></span><span class="t"><span class="com"># array_type=repr(array_type),</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t174" href="#t174">174</a></span><span class="t"><span class="com"># )</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t175" href="#t175">175</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t176" href="#t176">176</a></span><span class="t"><span class="com"># return _BaseArray</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t177" href="#t177">177</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t178" href="#t178">178</a></span><span class="t"> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t179" href="#t179">179</a></span><span class="t"><span class="key">if</span> <span class="nam">typing</span><span class="op">.</span><span class="nam">TYPE_CHECKING</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t180" href="#t180">180</a></span><span class="t"> <span class="com"># these class definitions are only used here to make pylint happy,</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t181" href="#t181">181</a></span><span class="t"> <span class="com"># but they make mypy unhappy and there is no way to only run if not mypy</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t182" href="#t182">182</a></span><span class="t"> <span class="com"># so, later on we have more ignores</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t183" href="#t183">183</a></span><span class="t"> <span class="key">class</span> <span class="nam">ATensor</span><span class="op">(</span><span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t184" href="#t184">184</a></span><span class="t"> <span class="op">@</span><span class="nam">typing</span><span class="op">.</span><span class="nam">_tp_cache</span> <span class="com"># type: ignore[attr-defined] # pyright: ignore[reportUnknownMemberType, reportAttributeAccessIssue]</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t185" href="#t185">185</a></span><span class="t"> <span class="key">def</span> <span class="nam">__class_getitem__</span><span class="op">(</span><span class="nam">cls</span><span class="op">,</span> <span class="nam">params</span><span class="op">:</span> <span class="nam">typing</span><span class="op">.</span><span class="nam">Union</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">tuple</span><span class="op">[</span><span class="nam">Any</span><span class="op">,</span> <span class="op">...</span><span class="op">]</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">type</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t186" href="#t186">186</a></span><span class="t"> <span class="key">raise</span> <span class="nam">NotImplementedError</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t187" href="#t187">187</a></span><span class="t"> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t188" href="#t188">188</a></span><span class="t"> <span class="key">class</span> <span class="nam">NDArray</span><span class="op">(</span><span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t189" href="#t189">189</a></span><span class="t"> <span class="op">@</span><span class="nam">typing</span><span class="op">.</span><span class="nam">_tp_cache</span> <span class="com"># type: ignore[attr-defined] # pyright: ignore[reportUnknownMemberType, reportAttributeAccessIssue]</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t190" href="#t190">190</a></span><span class="t"> <span class="key">def</span> <span class="nam">__class_getitem__</span><span class="op">(</span><span class="nam">cls</span><span class="op">,</span> <span class="nam">params</span><span class="op">:</span> <span class="nam">typing</span><span class="op">.</span><span class="nam">Union</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">tuple</span><span class="op">[</span><span class="nam">Any</span><span class="op">,</span> <span class="op">...</span><span class="op">]</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">type</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="exc show_exc"><span class="n"><a id="t191" href="#t191">191</a></span><span class="t"> <span class="key">raise</span> <span class="nam">NotImplementedError</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t192" href="#t192">192</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t193" href="#t193">193</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t194" href="#t194">194</a></span><span class="t"><span class="com"># ATensor = jaxtype_factory("ATensor", torch.Tensor, jaxtyping.Float) # type: ignore[misc, assignment]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t195" href="#t195">195</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t196" href="#t196">196</a></span><span class="t"><span class="com"># NDArray = jaxtype_factory("NDArray", np.ndarray, jaxtyping.Float) # type: ignore[misc, assignment]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t197" href="#t197">197</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t198" href="#t198">198</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t199" href="#t199">199</a></span><span class="t"><span class="key">def</span> <span class="nam">numpy_to_torch_dtype</span><span class="op">(</span><span class="nam">dtype</span><span class="op">:</span> <span class="nam">typing</span><span class="op">.</span><span class="nam">Union</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">dtype</span><span class="op">,</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">dtype</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">torch</span><span class="op">.</span><span class="nam">dtype</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t200" href="#t200">200</a></span><span class="t"> <span class="str">"""convert numpy dtype to torch dtype"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t201" href="#t201">201</a></span><span class="t"> <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">dtype</span><span class="op">,</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">dtype</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t202" href="#t202">202</a></span><span class="t"> <span class="key">return</span> <span class="nam">dtype</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t203" href="#t203">203</a></span><span class="t"> <span class="key">else</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t204" href="#t204">204</a></span><span class="t"> <span class="key">return</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">from_numpy</span><span class="op">(</span><span class="nam">np</span><span class="op">.</span><span class="nam">array</span><span class="op">(</span><span class="num">0</span><span class="op">,</span> <span class="nam">dtype</span><span class="op">=</span><span class="nam">dtype</span><span class="op">)</span><span class="op">)</span><span class="op">.</span><span class="nam">dtype</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t205" href="#t205">205</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t206" href="#t206">206</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t207" href="#t207">207</a></span><span class="t"><span class="nam">DTYPE_LIST</span><span class="op">:</span> <span class="nam">list</span><span class="op">[</span><span class="nam">Any</span><span class="op">]</span> <span class="op">=</span> <span class="op">[</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t208" href="#t208">208</a></span><span class="t"> <span class="op">*</span><span class="op">[</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t209" href="#t209">209</a></span><span class="t"> <span class="nam">bool</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t210" href="#t210">210</a></span><span class="t"> <span class="nam">int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t211" href="#t211">211</a></span><span class="t"> <span class="nam">float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t212" href="#t212">212</a></span><span class="t"> <span class="op">]</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t213" href="#t213">213</a></span><span class="t"> <span class="op">*</span><span class="op">[</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t214" href="#t214">214</a></span><span class="t"> <span class="com"># ----------</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t215" href="#t215">215</a></span><span class="t"> <span class="com"># pytorch</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t216" href="#t216">216</a></span><span class="t"> <span class="com"># ----------</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t217" href="#t217">217</a></span><span class="t"> <span class="com"># floats</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t218" href="#t218">218</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t219" href="#t219">219</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float32</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t220" href="#t220">220</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">float64</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t221" href="#t221">221</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">half</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t222" href="#t222">222</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">double</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t223" href="#t223">223</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">bfloat16</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t224" href="#t224">224</a></span><span class="t"> <span class="com"># complex</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t225" href="#t225">225</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">complex64</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t226" href="#t226">226</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">complex128</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t227" href="#t227">227</a></span><span class="t"> <span class="com"># ints</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t228" href="#t228">228</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t229" href="#t229">229</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int8</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t230" href="#t230">230</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int16</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t231" href="#t231">231</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int32</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t232" href="#t232">232</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">int64</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t233" href="#t233">233</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">long</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t234" href="#t234">234</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">short</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t235" href="#t235">235</a></span><span class="t"> <span class="com"># simplest</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t236" href="#t236">236</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">uint8</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t237" href="#t237">237</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">bool</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t238" href="#t238">238</a></span><span class="t"> <span class="op">]</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t239" href="#t239">239</a></span><span class="t"> <span class="op">*</span><span class="op">[</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t240" href="#t240">240</a></span><span class="t"> <span class="com"># ----------</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t241" href="#t241">241</a></span><span class="t"> <span class="com"># numpy</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t242" href="#t242">242</a></span><span class="t"> <span class="com"># ----------</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t243" href="#t243">243</a></span><span class="t"> <span class="com"># floats</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t244" href="#t244">244</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">float16</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t245" href="#t245">245</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">float32</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t246" href="#t246">246</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">float64</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t247" href="#t247">247</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">half</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t248" href="#t248">248</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">single</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t249" href="#t249">249</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">double</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t250" href="#t250">250</a></span><span class="t"> <span class="com"># complex</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t251" href="#t251">251</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">complex64</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t252" href="#t252">252</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">complex128</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t253" href="#t253">253</a></span><span class="t"> <span class="com"># ints</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t254" href="#t254">254</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int8</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t255" href="#t255">255</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int16</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t256" href="#t256">256</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int32</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t257" href="#t257">257</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">int64</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t258" href="#t258">258</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">longlong</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t259" href="#t259">259</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">short</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t260" href="#t260">260</a></span><span class="t"> <span class="com"># simplest</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t261" href="#t261">261</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">uint8</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t262" href="#t262">262</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">bool_</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t263" href="#t263">263</a></span><span class="t"> <span class="op">]</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t264" href="#t264">264</a></span><span class="t"><span class="op">]</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t265" href="#t265">265</a></span><span class="t"><span class="str">"list of all the python, numpy, and torch numerical types I could think of"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t266" href="#t266">266</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t267" href="#t267">267</a></span><span class="t"><span class="com"># np.float_ and np.int_ were deprecated in numpy 1.20 and removed in 2.0</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t268" href="#t268">268</a></span><span class="t"><span class="key">try</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t269" href="#t269">269</a></span><span class="t"> <span class="nam">DTYPE_LIST</span><span class="op">.</span><span class="nam">extend</span><span class="op">(</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">float_</span><span class="op">,</span> <span class="nam">np</span><span class="op">.</span><span class="nam">int_</span><span class="op">]</span><span class="op">)</span> <span class="com"># type: ignore[attr-defined] # pyright: ignore[reportAttributeAccessIssue]</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t270" href="#t270">270</a></span><span class="t"><span class="key">except</span> <span class="nam">AttributeError</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t271" href="#t271">271</a></span><span class="t"> <span class="key">pass</span> <span class="com"># numpy 2.0+ removed these deprecated aliases</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t272" href="#t272">272</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t273" href="#t273">273</a></span><span class="t"><span class="nam">DTYPE_MAP</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">Any</span><span class="op">]</span> <span class="op">=</span> <span class="op">{</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t274" href="#t274">274</a></span><span class="t"> <span class="op">**</span><span class="op">{</span><span class="nam">str</span><span class="op">(</span><span class="nam">x</span><span class="op">)</span><span class="op">:</span> <span class="nam">x</span> <span class="key">for</span> <span class="nam">x</span> <span class="key">in</span> <span class="nam">DTYPE_LIST</span><span class="op">}</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t275" href="#t275">275</a></span><span class="t"> <span class="op">**</span><span class="op">{</span><span class="nam">dtype</span><span class="op">.</span><span class="nam">__name__</span><span class="op">:</span> <span class="nam">dtype</span> <span class="key">for</span> <span class="nam">dtype</span> <span class="key">in</span> <span class="nam">DTYPE_LIST</span> <span class="key">if</span> <span class="nam">dtype</span><span class="op">.</span><span class="nam">__module__</span> <span class="op">==</span> <span class="str">"numpy"</span><span class="op">}</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t276" href="#t276">276</a></span><span class="t"><span class="op">}</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t277" href="#t277">277</a></span><span class="t"><span class="str">"mapping from string representations of types to their type"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t278" href="#t278">278</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t279" href="#t279">279</a></span><span class="t"><span class="nam">TORCH_DTYPE_MAP</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">dtype</span><span class="op">]</span> <span class="op">=</span> <span class="op">{</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t280" href="#t280">280</a></span><span class="t"> <span class="nam">key</span><span class="op">:</span> <span class="nam">numpy_to_torch_dtype</span><span class="op">(</span><span class="nam">dtype</span><span class="op">)</span> <span class="key">for</span> <span class="nam">key</span><span class="op">,</span> <span class="nam">dtype</span> <span class="key">in</span> <span class="nam">DTYPE_MAP</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t281" href="#t281">281</a></span><span class="t"><span class="op">}</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t282" href="#t282">282</a></span><span class="t"><span class="str">"mapping from string representations of types to specifically torch types"</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t283" href="#t283">283</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t284" href="#t284">284</a></span><span class="t"><span class="com"># no idea why we have to do this, smh</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t285" href="#t285">285</a></span><span class="t"><span class="nam">DTYPE_MAP</span><span class="op">[</span><span class="str">"bool"</span><span class="op">]</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">bool_</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t286" href="#t286">286</a></span><span class="t"><span class="nam">TORCH_DTYPE_MAP</span><span class="op">[</span><span class="str">"bool"</span><span class="op">]</span> <span class="op">=</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">bool</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t287" href="#t287">287</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t288" href="#t288">288</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t289" href="#t289">289</a></span><span class="t"><span class="nam">TORCH_OPTIMIZERS_MAP</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">typing</span><span class="op">.</span><span class="nam">Type</span><span class="op">[</span><span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">Optimizer</span><span class="op">]</span><span class="op">]</span> <span class="op">=</span> <span class="op">{</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t290" href="#t290">290</a></span><span class="t"> <span class="str">"Adagrad"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">Adagrad</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t291" href="#t291">291</a></span><span class="t"> <span class="str">"Adam"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">Adam</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t292" href="#t292">292</a></span><span class="t"> <span class="str">"AdamW"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">AdamW</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t293" href="#t293">293</a></span><span class="t"> <span class="str">"SparseAdam"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">SparseAdam</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t294" href="#t294">294</a></span><span class="t"> <span class="str">"Adamax"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">Adamax</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t295" href="#t295">295</a></span><span class="t"> <span class="str">"ASGD"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">ASGD</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t296" href="#t296">296</a></span><span class="t"> <span class="str">"LBFGS"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">LBFGS</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t297" href="#t297">297</a></span><span class="t"> <span class="str">"NAdam"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">NAdam</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t298" href="#t298">298</a></span><span class="t"> <span class="str">"RAdam"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">RAdam</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t299" href="#t299">299</a></span><span class="t"> <span class="str">"RMSprop"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">RMSprop</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t300" href="#t300">300</a></span><span class="t"> <span class="str">"Rprop"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">Rprop</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t301" href="#t301">301</a></span><span class="t"> <span class="str">"SGD"</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">optim</span><span class="op">.</span><span class="nam">SGD</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t302" href="#t302">302</a></span><span class="t"><span class="op">}</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t303" href="#t303">303</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t304" href="#t304">304</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t305" href="#t305">305</a></span><span class="t"><span class="key">def</span> <span class="nam">pad_tensor</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t306" href="#t306">306</a></span><span class="t"> <span class="nam">tensor</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Shaped</span><span class="op">[</span><span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">,</span> <span class="str">"dim1"</span><span class="op">]</span><span class="op">,</span> <span class="com"># noqa: F821</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t307" href="#t307">307</a></span><span class="t"> <span class="nam">padded_length</span><span class="op">:</span> <span class="nam">int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t308" href="#t308">308</a></span><span class="t"> <span class="nam">pad_value</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">0.0</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t309" href="#t309">309</a></span><span class="t"> <span class="nam">rpad</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t310" href="#t310">310</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Shaped</span><span class="op">[</span><span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">,</span> <span class="str">"padded_length"</span><span class="op">]</span><span class="op">:</span> <span class="com"># noqa: F821</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t311" href="#t311">311</a></span><span class="t"> <span class="str">"""pad a 1-d tensor on the left with pad_value to length `padded_length`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t312" href="#t312">312</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t313" href="#t313">313</a></span><span class="t"><span class="str"> set `rpad = True` to pad on the right instead"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t314" href="#t314">314</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t315" href="#t315">315</a></span><span class="t"> <span class="nam">temp</span><span class="op">:</span> <span class="nam">list</span><span class="op">[</span><span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">]</span> <span class="op">=</span> <span class="op">[</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t316" href="#t316">316</a></span><span class="t"> <span class="nam">torch</span><span class="op">.</span><span class="nam">full</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t317" href="#t317">317</a></span><span class="t"> <span class="op">(</span><span class="nam">padded_length</span> <span class="op">-</span> <span class="nam">tensor</span><span class="op">.</span><span class="nam">shape</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">,</span><span class="op">)</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t318" href="#t318">318</a></span><span class="t"> <span class="nam">pad_value</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t319" href="#t319">319</a></span><span class="t"> <span class="nam">dtype</span><span class="op">=</span><span class="nam">tensor</span><span class="op">.</span><span class="nam">dtype</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t320" href="#t320">320</a></span><span class="t"> <span class="nam">device</span><span class="op">=</span><span class="nam">tensor</span><span class="op">.</span><span class="nam">device</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t321" href="#t321">321</a></span><span class="t"> <span class="op">)</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t322" href="#t322">322</a></span><span class="t"> <span class="nam">tensor</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t323" href="#t323">323</a></span><span class="t"> <span class="op">]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t324" href="#t324">324</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t325" href="#t325">325</a></span><span class="t"> <span class="key">if</span> <span class="nam">rpad</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t326" href="#t326">326</a></span><span class="t"> <span class="nam">temp</span><span class="op">.</span><span class="nam">reverse</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t327" href="#t327">327</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t328" href="#t328">328</a></span><span class="t"> <span class="key">return</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">cat</span><span class="op">(</span><span class="nam">temp</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t329" href="#t329">329</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t330" href="#t330">330</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t331" href="#t331">331</a></span><span class="t"><span class="key">def</span> <span class="nam">lpad_tensor</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t332" href="#t332">332</a></span><span class="t"> <span class="nam">tensor</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">,</span> <span class="nam">padded_length</span><span class="op">:</span> <span class="nam">int</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">0.0</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t333" href="#t333">333</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t334" href="#t334">334</a></span><span class="t"> <span class="str">"""pad a 1-d tensor on the left with pad_value to length `padded_length`"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t335" href="#t335">335</a></span><span class="t"> <span class="key">return</span> <span class="nam">pad_tensor</span><span class="op">(</span><span class="nam">tensor</span><span class="op">,</span> <span class="nam">padded_length</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">,</span> <span class="nam">rpad</span><span class="op">=</span><span class="key">False</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t336" href="#t336">336</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t337" href="#t337">337</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t338" href="#t338">338</a></span><span class="t"><span class="key">def</span> <span class="nam">rpad_tensor</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t339" href="#t339">339</a></span><span class="t"> <span class="nam">tensor</span><span class="op">:</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">,</span> <span class="nam">pad_length</span><span class="op">:</span> <span class="nam">int</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">0.0</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t340" href="#t340">340</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="nam">torch</span><span class="op">.</span><span class="nam">Tensor</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t341" href="#t341">341</a></span><span class="t"> <span class="str">"""pad a 1-d tensor on the right with pad_value to length `pad_length`"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t342" href="#t342">342</a></span><span class="t"> <span class="key">return</span> <span class="nam">pad_tensor</span><span class="op">(</span><span class="nam">tensor</span><span class="op">,</span> <span class="nam">pad_length</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">,</span> <span class="nam">rpad</span><span class="op">=</span><span class="key">True</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t343" href="#t343">343</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t344" href="#t344">344</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t345" href="#t345">345</a></span><span class="t"><span class="key">def</span> <span class="nam">pad_array</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t346" href="#t346">346</a></span><span class="t"> <span class="nam">array</span><span class="op">:</span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Shaped</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">,</span> <span class="str">"dim1"</span><span class="op">]</span><span class="op">,</span> <span class="com"># noqa: F821</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t347" href="#t347">347</a></span><span class="t"> <span class="nam">padded_length</span><span class="op">:</span> <span class="nam">int</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t348" href="#t348">348</a></span><span class="t"> <span class="nam">pad_value</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">0.0</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t349" href="#t349">349</a></span><span class="t"> <span class="nam">rpad</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t350" href="#t350">350</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="nam">jaxtyping</span><span class="op">.</span><span class="nam">Shaped</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">,</span> <span class="str">"padded_length"</span><span class="op">]</span><span class="op">:</span> <span class="com"># noqa: F821</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t351" href="#t351">351</a></span><span class="t"> <span class="str">"""pad a 1-d array on the left with pad_value to length `padded_length`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t352" href="#t352">352</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t353" href="#t353">353</a></span><span class="t"><span class="str"> set `rpad = True` to pad on the right instead"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t354" href="#t354">354</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t355" href="#t355">355</a></span><span class="t"> <span class="nam">temp</span><span class="op">:</span> <span class="nam">list</span><span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">]</span> <span class="op">=</span> <span class="op">[</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t356" href="#t356">356</a></span><span class="t"> <span class="nam">np</span><span class="op">.</span><span class="nam">full</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t357" href="#t357">357</a></span><span class="t"> <span class="op">(</span><span class="nam">padded_length</span> <span class="op">-</span> <span class="nam">array</span><span class="op">.</span><span class="nam">shape</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">,</span><span class="op">)</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t358" href="#t358">358</a></span><span class="t"> <span class="nam">pad_value</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t359" href="#t359">359</a></span><span class="t"> <span class="nam">dtype</span><span class="op">=</span><span class="nam">array</span><span class="op">.</span><span class="nam">dtype</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t360" href="#t360">360</a></span><span class="t"> <span class="op">)</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t361" href="#t361">361</a></span><span class="t"> <span class="nam">array</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t362" href="#t362">362</a></span><span class="t"> <span class="op">]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t363" href="#t363">363</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t364" href="#t364">364</a></span><span class="t"> <span class="key">if</span> <span class="nam">rpad</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t365" href="#t365">365</a></span><span class="t"> <span class="nam">temp</span><span class="op">.</span><span class="nam">reverse</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t366" href="#t366">366</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t367" href="#t367">367</a></span><span class="t"> <span class="key">return</span> <span class="nam">np</span><span class="op">.</span><span class="nam">concatenate</span><span class="op">(</span><span class="nam">temp</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t368" href="#t368">368</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t369" href="#t369">369</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t370" href="#t370">370</a></span><span class="t"><span class="key">def</span> <span class="nam">lpad_array</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t371" href="#t371">371</a></span><span class="t"> <span class="nam">array</span><span class="op">:</span> <span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">,</span> <span class="nam">padded_length</span><span class="op">:</span> <span class="nam">int</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">0.0</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t372" href="#t372">372</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t373" href="#t373">373</a></span><span class="t"> <span class="str">"""pad a 1-d array on the left with pad_value to length `padded_length`"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t374" href="#t374">374</a></span><span class="t"> <span class="key">return</span> <span class="nam">pad_array</span><span class="op">(</span><span class="nam">array</span><span class="op">,</span> <span class="nam">padded_length</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">,</span> <span class="nam">rpad</span><span class="op">=</span><span class="key">False</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t375" href="#t375">375</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t376" href="#t376">376</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t377" href="#t377">377</a></span><span class="t"><span class="key">def</span> <span class="nam">rpad_array</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t378" href="#t378">378</a></span><span class="t"> <span class="nam">array</span><span class="op">:</span> <span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">,</span> <span class="nam">pad_length</span><span class="op">:</span> <span class="nam">int</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">0.0</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t379" href="#t379">379</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="nam">np</span><span class="op">.</span><span class="nam">ndarray</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t380" href="#t380">380</a></span><span class="t"> <span class="str">"""pad a 1-d array on the right with pad_value to length `pad_length`"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t381" href="#t381">381</a></span><span class="t"> <span class="key">return</span> <span class="nam">pad_array</span><span class="op">(</span><span class="nam">array</span><span class="op">,</span> <span class="nam">pad_length</span><span class="op">,</span> <span class="nam">pad_value</span><span class="op">,</span> <span class="nam">rpad</span><span class="op">=</span><span class="key">True</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t382" href="#t382">382</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t383" href="#t383">383</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t384" href="#t384">384</a></span><span class="t"><span class="key">def</span> <span class="nam">get_dict_shapes</span><span class="op">(</span><span class="nam">d</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="str">"torch.Tensor"</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">tuple</span><span class="op">[</span><span class="nam">int</span><span class="op">,</span> <span class="op">...</span><span class="op">]</span><span class="op">]</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t385" href="#t385">385</a></span><span class="t"> <span class="str">"""given a state dict or cache dict, compute the shapes and put them in a nested dict"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t386" href="#t386">386</a></span><span class="t"> <span class="key">return</span> <span class="nam">dotlist_to_nested_dict</span><span class="op">(</span><span class="op">{</span><span class="nam">k</span><span class="op">:</span> <span class="nam">tuple</span><span class="op">(</span><span class="nam">v</span><span class="op">.</span><span class="nam">shape</span><span class="op">)</span> <span class="key">for</span> <span class="nam">k</span><span class="op">,</span> <span class="nam">v</span> <span class="key">in</span> <span class="nam">d</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span><span class="op">}</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t387" href="#t387">387</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t388" href="#t388">388</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t389" href="#t389">389</a></span><span class="t"><span class="key">def</span> <span class="nam">string_dict_shapes</span><span class="op">(</span><span class="nam">d</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="str">"torch.Tensor"</span><span class="op">]</span><span class="op">)</span> <span class="op">-></span> <span class="nam">str</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t390" href="#t390">390</a></span><span class="t"> <span class="str">"""printable version of get_dict_shapes"""</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t391" href="#t391">391</a></span><span class="t"> <span class="key">return</span> <span class="nam">json</span><span class="op">.</span><span class="nam">dumps</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t392" href="#t392">392</a></span><span class="t"> <span class="nam">dotlist_to_nested_dict</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t393" href="#t393">393</a></span><span class="t"> <span class="op">{</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t394" href="#t394">394</a></span><span class="t"> <span class="nam">k</span><span class="op">:</span> <span class="nam">str</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t395" href="#t395">395</a></span><span class="t"> <span class="nam">tuple</span><span class="op">(</span><span class="nam">v</span><span class="op">.</span><span class="nam">shape</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t396" href="#t396">396</a></span><span class="t"> <span class="op">)</span> <span class="com"># to string, since indent wont play nice with tuples</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t397" href="#t397">397</a></span><span class="t"> <span class="key">for</span> <span class="nam">k</span><span class="op">,</span> <span class="nam">v</span> <span class="key">in</span> <span class="nam">d</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t398" href="#t398">398</a></span><span class="t"> <span class="op">}</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t399" href="#t399">399</a></span><span class="t"> <span class="op">)</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t400" href="#t400">400</a></span><span class="t"> <span class="nam">indent</span><span class="op">=</span><span class="num">2</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t401" href="#t401">401</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t402" href="#t402">402</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t403" href="#t403">403</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t404" href="#t404">404</a></span><span class="t"><span class="key">class</span> <span class="nam">StateDictCompareError</span><span class="op">(</span><span class="nam">AssertionError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t405" href="#t405">405</a></span><span class="t"> <span class="str">"""raised when state dicts don't match"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t406" href="#t406">406</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t407" href="#t407">407</a></span><span class="t"> <span class="key">pass</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t408" href="#t408">408</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t409" href="#t409">409</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t410" href="#t410">410</a></span><span class="t"><span class="key">class</span> <span class="nam">StateDictKeysError</span><span class="op">(</span><span class="nam">StateDictCompareError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t411" href="#t411">411</a></span><span class="t"> <span class="str">"""raised when state dict keys don't match"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t412" href="#t412">412</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t413" href="#t413">413</a></span><span class="t"> <span class="key">pass</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t414" href="#t414">414</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t415" href="#t415">415</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t416" href="#t416">416</a></span><span class="t"><span class="key">class</span> <span class="nam">StateDictShapeError</span><span class="op">(</span><span class="nam">StateDictCompareError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t417" href="#t417">417</a></span><span class="t"> <span class="str">"""raised when state dict shapes don't match"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t418" href="#t418">418</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t419" href="#t419">419</a></span><span class="t"> <span class="key">pass</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t420" href="#t420">420</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t421" href="#t421">421</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t422" href="#t422">422</a></span><span class="t"><span class="key">class</span> <span class="nam">StateDictValueError</span><span class="op">(</span><span class="nam">StateDictCompareError</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t423" href="#t423">423</a></span><span class="t"> <span class="str">"""raised when state dict values don't match"""</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t424" href="#t424">424</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t425" href="#t425">425</a></span><span class="t"> <span class="key">pass</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t426" href="#t426">426</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t427" href="#t427">427</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t428" href="#t428">428</a></span><span class="t"><span class="key">def</span> <span class="nam">compare_state_dicts</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t429" href="#t429">429</a></span><span class="t"> <span class="nam">d1</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">Any</span><span class="op">]</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t430" href="#t430">430</a></span><span class="t"> <span class="nam">d2</span><span class="op">:</span> <span class="nam">dict</span><span class="op">[</span><span class="nam">str</span><span class="op">,</span> <span class="nam">Any</span><span class="op">]</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t431" href="#t431">431</a></span><span class="t"> <span class="nam">rtol</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">1e-5</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t432" href="#t432">432</a></span><span class="t"> <span class="nam">atol</span><span class="op">:</span> <span class="nam">float</span> <span class="op">=</span> <span class="num">1e-8</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t433" href="#t433">433</a></span><span class="t"> <span class="nam">verbose</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">True</span><span class="op">,</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t434" href="#t434">434</a></span><span class="t"><span class="op">)</span> <span class="op">-></span> <span class="key">None</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t435" href="#t435">435</a></span><span class="t"> <span class="str">"""compare two dicts of tensors</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t436" href="#t436">436</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t437" href="#t437">437</a></span><span class="t"><span class="str"> # Parameters:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t438" href="#t438">438</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t439" href="#t439">439</a></span><span class="t"><span class="str"> - `d1 : dict`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t440" href="#t440">440</a></span><span class="t"><span class="str"> - `d2 : dict`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t441" href="#t441">441</a></span><span class="t"><span class="str"> - `rtol : float`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t442" href="#t442">442</a></span><span class="t"><span class="str"> (defaults to `1e-5`)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t443" href="#t443">443</a></span><span class="t"><span class="str"> - `atol : float`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t444" href="#t444">444</a></span><span class="t"><span class="str"> (defaults to `1e-8`)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t445" href="#t445">445</a></span><span class="t"><span class="str"> - `verbose : bool`</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t446" href="#t446">446</a></span><span class="t"><span class="str"> (defaults to `True`)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t447" href="#t447">447</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t448" href="#t448">448</a></span><span class="t"><span class="str"> # Raises:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t449" href="#t449">449</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t450" href="#t450">450</a></span><span class="t"><span class="str"> - `StateDictKeysError` : keys don't match</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t451" href="#t451">451</a></span><span class="t"><span class="str"> - `StateDictShapeError` : shapes don't match (but keys do)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t452" href="#t452">452</a></span><span class="t"><span class="str"> - `StateDictValueError` : values don't match (but keys and shapes do)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t453" href="#t453">453</a></span><span class="t"><span class="str"> """</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t454" href="#t454">454</a></span><span class="t"> <span class="com"># check keys match</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t455" href="#t455">455</a></span><span class="t"> <span class="nam">d1_keys</span><span class="op">:</span> <span class="nam">set</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">set</span><span class="op">(</span><span class="nam">d1</span><span class="op">.</span><span class="nam">keys</span><span class="op">(</span><span class="op">)</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t456" href="#t456">456</a></span><span class="t"> <span class="nam">d2_keys</span><span class="op">:</span> <span class="nam">set</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">set</span><span class="op">(</span><span class="nam">d2</span><span class="op">.</span><span class="nam">keys</span><span class="op">(</span><span class="op">)</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t457" href="#t457">457</a></span><span class="t"> <span class="nam">symmetric_diff</span><span class="op">:</span> <span class="nam">set</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">set</span><span class="op">.</span><span class="nam">symmetric_difference</span><span class="op">(</span><span class="nam">d1_keys</span><span class="op">,</span> <span class="nam">d2_keys</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t458" href="#t458">458</a></span><span class="t"> <span class="nam">keys_diff_1</span><span class="op">:</span> <span class="nam">set</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">d1_keys</span> <span class="op">-</span> <span class="nam">d2_keys</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t459" href="#t459">459</a></span><span class="t"> <span class="nam">keys_diff_2</span><span class="op">:</span> <span class="nam">set</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">d2_keys</span> <span class="op">-</span> <span class="nam">d1_keys</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t460" href="#t460">460</a></span><span class="t"> <span class="com"># sort sets for easier debugging</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t461" href="#t461">461</a></span><span class="t"> <span class="nam">symmetric_diff</span> <span class="op">=</span> <span class="nam">set</span><span class="op">(</span><span class="nam">sorted</span><span class="op">(</span><span class="nam">symmetric_diff</span><span class="op">)</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t462" href="#t462">462</a></span><span class="t"> <span class="nam">keys_diff_1</span> <span class="op">=</span> <span class="nam">set</span><span class="op">(</span><span class="nam">sorted</span><span class="op">(</span><span class="nam">keys_diff_1</span><span class="op">)</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t463" href="#t463">463</a></span><span class="t"> <span class="nam">keys_diff_2</span> <span class="op">=</span> <span class="nam">set</span><span class="op">(</span><span class="nam">sorted</span><span class="op">(</span><span class="nam">keys_diff_2</span><span class="op">)</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t464" href="#t464">464</a></span><span class="t"> <span class="nam">diff_shapes_1</span><span class="op">:</span> <span class="nam">str</span> <span class="op">=</span> <span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t465" href="#t465">465</a></span><span class="t"> <span class="nam">string_dict_shapes</span><span class="op">(</span><span class="op">{</span><span class="nam">k</span><span class="op">:</span> <span class="nam">d1</span><span class="op">[</span><span class="nam">k</span><span class="op">]</span> <span class="key">for</span> <span class="nam">k</span> <span class="key">in</span> <span class="nam">keys_diff_1</span><span class="op">}</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t466" href="#t466">466</a></span><span class="t"> <span class="key">if</span> <span class="nam">verbose</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t467" href="#t467">467</a></span><span class="t"> <span class="key">else</span> <span class="str">"(verbose = False)"</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t468" href="#t468">468</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t469" href="#t469">469</a></span><span class="t"> <span class="nam">diff_shapes_2</span><span class="op">:</span> <span class="nam">str</span> <span class="op">=</span> <span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t470" href="#t470">470</a></span><span class="t"> <span class="nam">string_dict_shapes</span><span class="op">(</span><span class="op">{</span><span class="nam">k</span><span class="op">:</span> <span class="nam">d2</span><span class="op">[</span><span class="nam">k</span><span class="op">]</span> <span class="key">for</span> <span class="nam">k</span> <span class="key">in</span> <span class="nam">keys_diff_2</span><span class="op">}</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t471" href="#t471">471</a></span><span class="t"> <span class="key">if</span> <span class="nam">verbose</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t472" href="#t472">472</a></span><span class="t"> <span class="key">else</span> <span class="str">"(verbose = False)"</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t473" href="#t473">473</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t474" href="#t474">474</a></span><span class="t"> <span class="key">if</span> <span class="key">not</span> <span class="nam">len</span><span class="op">(</span><span class="nam">symmetric_diff</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t475" href="#t475">475</a></span><span class="t"> <span class="key">raise</span> <span class="nam">StateDictKeysError</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t476" href="#t476">476</a></span><span class="t"> <span class="fst">f"</span><span class="fst">state dicts do not match:\n</span><span class="op">{</span><span class="nam">symmetric_diff</span> <span class="op">=</span> <span class="op">}</span><span class="fst">\n</span><span class="op">{</span><span class="nam">keys_diff_1</span> <span class="op">=</span> <span class="op">}</span><span class="fst">\n</span><span class="op">{</span><span class="nam">keys_diff_2</span> <span class="op">=</span> <span class="op">}</span><span class="fst">\nd1_shapes = </span><span class="op">{</span><span class="nam">diff_shapes_1</span><span class="op">}</span><span class="fst">\nd2_shapes = </span><span class="op">{</span><span class="nam">diff_shapes_2</span><span class="op">}</span><span class="fst">"</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t477" href="#t477">477</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t478" href="#t478">478</a></span><span class="t"> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t479" href="#t479">479</a></span><span class="t"> <span class="com"># check tensors match</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t480" href="#t480">480</a></span><span class="t"> <span class="nam">shape_failed</span><span class="op">:</span> <span class="nam">list</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">list</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t481" href="#t481">481</a></span><span class="t"> <span class="nam">vals_failed</span><span class="op">:</span> <span class="nam">list</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="nam">list</span><span class="op">(</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t482" href="#t482">482</a></span><span class="t"> <span class="key">for</span> <span class="nam">k</span><span class="op">,</span> <span class="nam">v1</span> <span class="key">in</span> <span class="nam">d1</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t483" href="#t483">483</a></span><span class="t"> <span class="nam">v2</span> <span class="op">=</span> <span class="nam">d2</span><span class="op">[</span><span class="nam">k</span><span class="op">]</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t484" href="#t484">484</a></span><span class="t"> <span class="com"># check shapes first</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t485" href="#t485">485</a></span><span class="t"> <span class="key">if</span> <span class="key">not</span> <span class="nam">v1</span><span class="op">.</span><span class="nam">shape</span> <span class="op">==</span> <span class="nam">v2</span><span class="op">.</span><span class="nam">shape</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t486" href="#t486">486</a></span><span class="t"> <span class="nam">shape_failed</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">k</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t487" href="#t487">487</a></span><span class="t"> <span class="key">else</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t488" href="#t488">488</a></span><span class="t"> <span class="com"># if shapes match, check values</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t489" href="#t489">489</a></span><span class="t"> <span class="key">if</span> <span class="key">not</span> <span class="nam">torch</span><span class="op">.</span><span class="nam">allclose</span><span class="op">(</span><span class="nam">v1</span><span class="op">,</span> <span class="nam">v2</span><span class="op">,</span> <span class="nam">rtol</span><span class="op">=</span><span class="nam">rtol</span><span class="op">,</span> <span class="nam">atol</span><span class="op">=</span><span class="nam">atol</span><span class="op">)</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t490" href="#t490">490</a></span><span class="t"> <span class="nam">vals_failed</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">k</span><span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t491" href="#t491">491</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t492" href="#t492">492</a></span><span class="t"> <span class="nam">str_shape_failed</span><span class="op">:</span> <span class="nam">str</span> <span class="op">=</span> <span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t493" href="#t493">493</a></span><span class="t"> <span class="nam">string_dict_shapes</span><span class="op">(</span><span class="op">{</span><span class="nam">k</span><span class="op">:</span> <span class="nam">d1</span><span class="op">[</span><span class="nam">k</span><span class="op">]</span> <span class="key">for</span> <span class="nam">k</span> <span class="key">in</span> <span class="nam">shape_failed</span><span class="op">}</span><span class="op">)</span> <span class="key">if</span> <span class="nam">verbose</span> <span class="key">else</span> <span class="str">""</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t494" href="#t494">494</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t495" href="#t495">495</a></span><span class="t"> <span class="nam">str_vals_failed</span><span class="op">:</span> <span class="nam">str</span> <span class="op">=</span> <span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t496" href="#t496">496</a></span><span class="t"> <span class="nam">string_dict_shapes</span><span class="op">(</span><span class="op">{</span><span class="nam">k</span><span class="op">:</span> <span class="nam">d1</span><span class="op">[</span><span class="nam">k</span><span class="op">]</span> <span class="key">for</span> <span class="nam">k</span> <span class="key">in</span> <span class="nam">vals_failed</span><span class="op">}</span><span class="op">)</span> <span class="key">if</span> <span class="nam">verbose</span> <span class="key">else</span> <span class="str">""</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t497" href="#t497">497</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="pln"><span class="n"><a id="t498" href="#t498">498</a></span><span class="t"> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t499" href="#t499">499</a></span><span class="t"> <span class="key">if</span> <span class="key">not</span> <span class="nam">len</span><span class="op">(</span><span class="nam">shape_failed</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t500" href="#t500">500</a></span><span class="t"> <span class="key">raise</span> <span class="nam">StateDictShapeError</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t501" href="#t501">501</a></span><span class="t"> <span class="fst">f"</span><span class="op">{</span><span class="nam">len</span><span class="op">(</span><span class="nam">shape_failed</span><span class="op">)</span><span class="op">}</span><span class="fst"> / </span><span class="op">{</span><span class="nam">len</span><span class="op">(</span><span class="nam">d1</span><span class="op">)</span><span class="op">}</span><span class="fst"> state dict elements don't match in shape:\n</span><span class="op">{</span><span class="nam">shape_failed</span> <span class="op">=</span> <span class="op">}</span><span class="fst">\n</span><span class="op">{</span><span class="nam">str_shape_failed</span><span class="op">}</span><span class="fst">"</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t502" href="#t502">502</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t503" href="#t503">503</a></span><span class="t"> <span class="key">if</span> <span class="key">not</span> <span class="nam">len</span><span class="op">(</span><span class="nam">vals_failed</span><span class="op">)</span> <span class="op">==</span> <span class="num">0</span><span class="op">:</span> </span><span class="r"></span></p>
<p class="run"><span class="n"><a id="t504" href="#t504">504</a></span><span class="t"> <span class="key">raise</span> <span class="nam">StateDictValueError</span><span class="op">(</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t505" href="#t505">505</a></span><span class="t"> <span class="fst">f"</span><span class="op">{</span><span class="nam">len</span><span class="op">(</span><span class="nam">vals_failed</span><span class="op">)</span><span class="op">}</span><span class="fst"> / </span><span class="op">{</span><span class="nam">len</span><span class="op">(</span><span class="nam">d1</span><span class="op">)</span><span class="op">}</span><span class="fst"> state dict elements don't match in values:\n</span><span class="op">{</span><span class="nam">vals_failed</span> <span class="op">=</span> <span class="op">}</span><span class="fst">\n</span><span class="op">{</span><span class="nam">str_vals_failed</span><span class="op">}</span><span class="fst">"</span> </span><span class="r"></span></p>
<p class="run run2"><span class="n"><a id="t506" href="#t506">506</a></span><span class="t"> <span class="op">)</span> </span><span class="r"></span></p>
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