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20 hours ago •
PrincetonUniversity
PrincetonUniversity
learning: Writeback params at end of learning instead of at each batch
This results in a ~5% speedup for a smaller model (and should scale for larger models as well)
This PR causes the following changes to the html docs (ubuntu-latest, python-3.7):
Binary files docs-base/.doctrees/environment.pickle and docs-merge/.doctrees/environment.pickle differ
...
See CI logs for the full diff.
![github-actions[bot] avatar](https://avatars.githubusercontent.com/in/15368?v=4 "Published by a pub.dev verified publisher"){kind=small}
This PR causes the following changes to the html docs (ubuntu-latest, python-3.7):
Binary files docs-base/.doctrees/environment.pickle and docs-merge/.doctrees/environment.pickle differ
...
See CI logs for the full diff.
This PR causes the following changes to the html docs (ubuntu-latest, python-3.7):
Binary files docs-base/.doctrees/AutodiffComposition.doctree and docs-merge/.doctrees/AutodiffComposition.doctree differ
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diff -r docs-base/AutodiffComposition.html docs-merge/AutodiffComposition.html
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< <code class="sig-name descname">_infer_output_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_output_nodes" title="Permalink to this definition">¶</a></dt>
---
> <code class="sig-name descname">_infer_output_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_output_nodes" title="Permalink to this definition">¶</a></dt>
352,353c352,353
< <code class="sig-name descname">_infer_input_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_input_nodes" title="Permalink to this definition">¶</a></dt>
< <dd><p>Maps targets onto target mechanisms (as needed by learning)</p>
---
> <code class="sig-name descname">_infer_input_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_input_nodes" title="Permalink to this definition">¶</a></dt>
> <dd><p>Extracts inputs to be passed to input nodes.</p>
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< <dd class="field-even"><p>A dict mapping TargetMechanisms -> target values</p>
---
> <dd class="field-even"><p>A dict mapping InputNodes -> inputs</p>
> </dd>
> </dl>
> </dd></dl>
>
> <dl class="py method">
> <dt id="psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec">
> <code class="sig-name descname">_parse_learning_spec</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em>, <em class="sig-param"><span class="n">targets</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec" title="Permalink to this definition">¶</a></dt>
> <dd><p>Converts learning inputs and targets to a standardized form</p>
> <dl class="field-list simple">
> <dt class="field-odd">Returns</dt>
> <dd class="field-odd"><p><ul class="simple">
> <li><p><code class="xref any docutils literal notranslate"><span class="pre">dict</span></code> – Dict mapping mechanisms to values (with TargetMechanisms inferred from output nodes if needed)</p></li>
> <li><p><code class="xref any docutils literal notranslate"><span class="pre">int</span></code> – Number of input sets in dict for each input node in the Composition</p></li>
> </ul>
> </p>
diff -r docs-base/genindex.html docs-merge/genindex.html
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>
> <ul>
> <li><a href="AutodiffComposition.html#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec">(psyneulink.library.compositions.autodiffcomposition.AutodiffComposition method)</a>
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> </ul></li>
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diff -r docs-base/searchindex.js docs-merge/searchindex.js
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< 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...
See CI logs for the full diff.
@kmantel I'd appreciate a second look at this - not sure if there's a better way to accomplish this, and my scheduler workaround may be a bit hacky
This PR causes the following changes to the html docs (ubuntu-latest, python-3.7):
Binary files docs-base/.doctrees/AutodiffComposition.doctree and docs-merge/.doctrees/AutodiffComposition.doctree differ
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diff -r docs-base/AutodiffComposition.html docs-merge/AutodiffComposition.html
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< <code class="sig-name descname">_infer_output_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_output_nodes" title="Permalink to this definition">¶</a></dt>
---
> <code class="sig-name descname">_infer_output_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_output_nodes" title="Permalink to this definition">¶</a></dt>
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< <code class="sig-name descname">_infer_input_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_input_nodes" title="Permalink to this definition">¶</a></dt>
< <dd><p>Maps targets onto target mechanisms (as needed by learning)</p>
---
> <code class="sig-name descname">_infer_input_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_input_nodes" title="Permalink to this definition">¶</a></dt>
> <dd><p>Extracts inputs to be passed to input nodes.</p>
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< <dd class="field-even"><p>A dict mapping TargetMechanisms -> target values</p>
---
> <dd class="field-even"><p>A dict mapping InputNodes -> inputs</p>
> </dd>
> </dl>
> </dd></dl>
>
> <dl class="py method">
> <dt id="psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec">
> <code class="sig-name descname">_parse_learning_spec</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em>, <em class="sig-param"><span class="n">targets</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec" title="Permalink to this definition">¶</a></dt>
> <dd><p>Converts learning inputs and targets to a standardized form</p>
> <dl class="field-list simple">
> <dt class="field-odd">Returns</dt>
> <dd class="field-odd"><p><ul class="simple">
> <li><p><code class="xref any docutils literal notranslate"><span class="pre">dict</span></code> – Dict mapping mechanisms to values (with TargetMechanisms inferred from output nodes if needed)</p></li>
> <li><p><code class="xref any docutils literal notranslate"><span class="pre">int</span></code> – Number of input sets in dict for each input node in the Composition</p></li>
> </ul>
> </p>
diff -r docs-base/genindex.html docs-merge/genindex.html
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>
> <ul>
> <li><a href="AutodiffComposition.html#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec">(psyneulink.library.compositions.autodiffcomposition.AutodiffComposition method)</a>
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> </ul></li>
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< 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...
See CI logs for the full diff.
This PR causes the following changes to the html docs (ubuntu-latest, python-3.7):
Binary files docs-base/.doctrees/AutodiffComposition.doctree and docs-merge/.doctrees/AutodiffComposition.doctree differ
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diff -r docs-base/AutodiffComposition.html docs-merge/AutodiffComposition.html
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< <code class="sig-name descname">_infer_output_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_output_nodes" title="Permalink to this definition">¶</a></dt>
---
> <code class="sig-name descname">_infer_output_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_output_nodes" title="Permalink to this definition">¶</a></dt>
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< <code class="sig-name descname">_infer_input_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">nodes</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_input_nodes" title="Permalink to this definition">¶</a></dt>
< <dd><p>Maps targets onto target mechanisms (as needed by learning)</p>
---
> <code class="sig-name descname">_infer_input_nodes</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._infer_input_nodes" title="Permalink to this definition">¶</a></dt>
> <dd><p>Extracts inputs to be passed to input nodes.</p>
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< <dd class="field-even"><p>A dict mapping TargetMechanisms -> target values</p>
---
> <dd class="field-even"><p>A dict mapping InputNodes -> inputs</p>
> </dd>
> </dl>
> </dd></dl>
>
> <dl class="py method">
> <dt id="psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec">
> <code class="sig-name descname">_parse_learning_spec</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">inputs</span></em>, <em class="sig-param"><span class="n">targets</span></em><span class="sig-paren">)</span><a class="headerlink" href="#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec" title="Permalink to this definition">¶</a></dt>
> <dd><p>Converts learning inputs and targets to a standardized form</p>
> <dl class="field-list simple">
> <dt class="field-odd">Returns</dt>
> <dd class="field-odd"><p><ul class="simple">
> <li><p><code class="xref any docutils literal notranslate"><span class="pre">dict</span></code> – Dict mapping mechanisms to values (with TargetMechanisms inferred from output nodes if needed)</p></li>
> <li><p><code class="xref any docutils literal notranslate"><span class="pre">int</span></code> – Number of input sets in dict for each input node in the Composition</p></li>
> </ul>
> </p>
diff -r docs-base/genindex.html docs-merge/genindex.html
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>
> <ul>
> <li><a href="AutodiffComposition.html#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition._parse_learning_spec">(psyneulink.library.compositions.autodiffcomposition.AutodiffComposition method)</a>
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> </ul></li>
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...
See CI logs for the full diff.
Compiled and Python Parameters are now synced via shared memory. Explicit synchronization is no longer needed.
