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Ensure skema[llms] included in docker image build (#610)
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## Summary of Changes

#601 introduced LLMs using
`langchain` and the Open AI API. The `llms` extra was included in the
extra `all`, but our docker image only installs `core` to avoid bloat:
https://github.com/ml4ai/skema/blob/3af73f74ec127e0fb4c5abf4d3a8f9bd0eea3e71/Dockerfile.skema-py#L53

This caused an import error that triggered a deployment failure loop. be313e6
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github-actions[bot] committed Oct 31, 2023
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2 changes: 1 addition & 1 deletion api/python/skema/img2mml/models/decoders/xfmer_decoder.html
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Expand Up @@ -365,7 +365,7 @@ <h3>Instance variables</h3>
<h3>Methods</h3>
<dl>
<dt id="skema.img2mml.models.decoders.xfmer_decoder.Transformer_Decoder.create_pad_mask"><code class="name flex">
<span>def <span class="ident">create_pad_mask</span></span>(<span>self, matrix: <built-in method tensor of type object at 0x7f77e695b500>, pad_token: int) ‑> <built-in method tensor of type object at 0x7f77e695b500></span>
<span>def <span class="ident">create_pad_mask</span></span>(<span>self, matrix: <built-in method tensor of type object at 0x7f23b1f5b500>, pad_token: int) ‑> <built-in method tensor of type object at 0x7f23b1f5b500></span>
</code></dt>
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<div class="desc"></div>
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2 changes: 1 addition & 1 deletion api/python/skema/img2mml/models/encoding/positional_encoding_for_xfmer.html
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Expand Up @@ -157,7 +157,7 @@ <h3>Class variables</h3>
<h3>Methods</h3>
<dl>
<dt id="skema.img2mml.models.encoding.positional_encoding_for_xfmer.PositionalEncoding.forward"><code class="name flex">
<span>def <span class="ident">forward</span></span>(<span>self, x: <built-in method tensor of type object at 0x7f77e695b500>) ‑> <built-in method tensor of type object at 0x7f77e695b500></span>
<span>def <span class="ident">forward</span></span>(<span>self, x: <built-in method tensor of type object at 0x7f23b1f5b500>) ‑> <built-in method tensor of type object at 0x7f23b1f5b500></span>
</code></dt>
<dd>
<div class="desc"><p>Defines the computation performed at every call.</p>
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