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new a44b1d0d426 Publishing website 2022/08/31 22:17:41 at commit 2e19b4f
a44b1d0d426 is described below
commit a44b1d0d426acc56cd04d370de65326a90513a9d
Author: jenkins <bui...@apache.org>
AuthorDate: Wed Aug 31 22:17:42 2022 +0000
Publishing website 2022/08/31 22:17:41 at commit 2e19b4f
---
.../python/elementwise/runinference/index.html | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git
a/website/generated-content/documentation/transforms/python/elementwise/runinference/index.html
b/website/generated-content/documentation/transforms/python/elementwise/runinference/index.html
index 05c04905344..834e4ac6568 100644
---
a/website/generated-content/documentation/transforms/python/elementwise/runinference/index.html
+++
b/website/generated-content/documentation/transforms/python/elementwise/runinference/index.html
@@ -44,10 +44,10 @@ Pydoc</a></td></table><p><br><br><br></p><p>Uses models to
do local and remote i
<span class=o>|</span> <span class=s1>'InputData'</span> <span
class=o>>></span> <span class=n>beam</span><span class=o>.</span><span
class=n>Create</span><span class=p>(</span><span
class=n>unkeyed_data</span><span class=p>)</span>
<span class=o>|</span> <span
class=s1>'ConvertNumpyToTensor'</span> <span class=o>>></span>
<span class=n>beam</span><span class=o>.</span><span class=n>Map</span><span
class=p>(</span><span class=n>torch</span><span class=o>.</span><span
class=n>Tensor</span><span class=p>)</span>
<span class=o>|</span> <span
class=s1>'PytorchRunInference'</span> <span class=o>>></span>
<span class=n>RunInference</span><span class=p>(</span><span
class=n>model_handler</span><span class=o>=</span><span
class=n>model_handler</span><span class=p>)</span>
- <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div></div><p><p
class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip
code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="Copy to clipboard"><img
src=/images/copy-icon.svg></a><pre><code>PredictionResult(example=tensor [...]
-PredictionResult(example=tensor([40.]), inference=tensor([201.1165],
grad_fn=<UnbindBackward>))
-PredictionResult(example=tensor([60.]), inference=tensor([300.3724],
grad_fn=<UnbindBackward>))
-PredictionResult(example=tensor([90.]), inference=tensor([449.2563],
grad_fn=<UnbindBackward>))</code></pre></div></div></p><h3
id=example-2-pytorch-keyed-model>Example 2: PyTorch keyed model</h3><p>In this
example, we create a pipeline that uses a PyTorch RunInference transform on
keyed data.</p><div class="language-py snippet"><div class="notebook-skip
code-snippet"><a target=_blank type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="View source code" href=https:// [...]
+ <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div></div><p><p
class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip
code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="Copy to clipboard"><img
src=/images/copy-icon.svg></a><pre><code>PredictionResult(example=tensor [...]
+PredictionResult(example=tensor([40.]), inference=tensor([201.1165]))
+PredictionResult(example=tensor([60.]), inference=tensor([300.3724]))
+PredictionResult(example=tensor([90.]),
inference=tensor([449.2563]))</code></pre></div></div></p><h3
id=example-2-pytorch-keyed-model>Example 2: PyTorch keyed model</h3><p>In this
example, we create a pipeline that uses a PyTorch RunInference transform on
keyed data.</p><div class="language-py snippet"><div class="notebook-skip
code-snippet"><a target=_blank type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="View source code"
href=https://github.com/apache/beam/blob/mast [...]
<a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom
title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div
class=highlight><pre class=chroma><code class=language-py data-lang=py><span
class=kn>import</span> <span class=nn>apache_beam</span> <span
class=kn>as</span> <span class=nn>beam</span>
<span class=kn>import</span> <span class=nn>torch</span>
<span class=kn>from</span> <span class=nn>apache_beam.ml.inference.base</span>
<span class=kn>import</span> <span class=n>KeyedModelHandler</span>
@@ -74,10 +74,10 @@ PredictionResult(example=tensor([90.]),
inference=tensor([449.2563], grad_fn=<
<span class=n>beam</span><span class=o>.</span><span
class=n>Map</span><span class=p>(</span><span class=k>lambda</span> <span
class=n>x</span><span class=p>:</span> <span class=p>(</span><span
class=n>x</span><span class=p>[</span><span class=mi>0</span><span
class=p>],</span> <span class=n>torch</span><span class=o>.</span><span
class=n>Tensor</span><span class=p>([</span><span class=n>x</span><span
class=p>[</span><span class=mi>1</span><span class=p>]])))</span>
<span class=o>|</span> <span
class=s1>'PytorchRunInference'</span> <span class=o>>></span>
<span class=n>RunInference</span><span class=p>(</span><span
class=n>model_handler</span><span class=o>=</span><span
class=n>keyed_model_handler</span><span class=p>)</span>
- <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div></div><p
class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip
code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="Copy to clipboard"><img
src=/images/copy-icon.svg></a><pre><code>('first_question', Predict
[...]
-('second_question', PredictionResult(example=tensor([108.]),
inference=tensor([538.5867], grad_fn=<UnbindBackward>)))
-('third_question', PredictionResult(example=tensor([1000.]),
inference=tensor([4965.4019], grad_fn=<UnbindBackward>)))
-('fourth_question', PredictionResult(example=tensor([1013.]),
inference=tensor([5029.9180],
grad_fn=<UnbindBackward>)))</code></pre></div></div><h3
id=example-3-sklearn-unkeyed-model>Example 3: Sklearn unkeyed model</h3><p>In
this example, we create a pipeline that uses an SKlearn RunInference transform
on unkeyed data.</p><div class="language-py snippet"><div class="notebook-skip
code-snippet"><a target=_blank type=button data-bs-toggle=tooltip
data-bs-placement=bottom tit [...]
+ <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div></div><p
class=notebook-skip>Output:</p><div class=snippet><div class="notebook-skip
code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="Copy to clipboard"><img
src=/images/copy-icon.svg></a><pre><code>('first_question', Predict
[...]
+('second_question', PredictionResult(example=tensor([108.]),
inference=tensor([538.5867])))
+('third_question', PredictionResult(example=tensor([1000.]),
inference=tensor([4965.4019])))
+('fourth_question', PredictionResult(example=tensor([1013.]),
inference=tensor([5029.9180])))</code></pre></div></div><h3
id=example-3-sklearn-unkeyed-model>Example 3: Sklearn unkeyed model</h3><p>In
this example, we create a pipeline that uses an SKlearn RunInference transform
on unkeyed data.</p><div class="language-py snippet"><div class="notebook-skip
code-snippet"><a target=_blank type=button data-bs-toggle=tooltip
data-bs-placement=bottom title="View source code" href=https [...]
<a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom
title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div
class=highlight><pre class=chroma><code class=language-py data-lang=py><span
class=kn>import</span> <span class=nn>apache_beam</span> <span
class=kn>as</span> <span class=nn>beam</span>
<span class=kn>import</span> <span class=nn>numpy</span>
<span class=kn>from</span> <span class=nn>apache_beam.ml.inference.base</span>
<span class=kn>import</span> <span class=n>RunInference</span>
