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Posted to commits@beam.apache.org by da...@apache.org on 2022/09/28 20:56:59 UTC
[beam] branch users/damccorm/notebook-bug created (now c49fdb66fa8)
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at c49fdb66fa8 Fix Small pytorch notebook bug fix
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new c49fdb66fa8 Fix Small pytorch notebook bug fix
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[beam] 01/01: Fix Small pytorch notebook bug fix
Posted by da...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
damccorm pushed a commit to branch users/damccorm/notebook-bug
in repository https://gitbox.apache.org/repos/asf/beam.git
commit c49fdb66fa8b1d8f37808166732637b30c9f7b33
Author: Danny McCormick <da...@google.com>
AuthorDate: Wed Sep 28 16:56:42 2022 -0400
Fix Small pytorch notebook bug fix
---
examples/notebooks/beam-ml/README.md | 2 +-
examples/notebooks/beam-ml/run_inference_pytorch.ipynb | 10 +++++-----
2 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/examples/notebooks/beam-ml/README.md b/examples/notebooks/beam-ml/README.md
index 8a3776d1bbd..d93b5ef8b7f 100644
--- a/examples/notebooks/beam-ml/README.md
+++ b/examples/notebooks/beam-ml/README.md
@@ -34,7 +34,7 @@ Beam comes with various implementations of ModelHandler.
### Loading the Notebooks
-1. A quick way to get started is with [Colab](colab.sandbox.google.com).
+1. A quick way to get started is with [Colab](https://colab.sandbox.google.com/).
2. Load the notebook from github, for example:
```
https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_tensorflow.ipynb.
diff --git a/examples/notebooks/beam-ml/run_inference_pytorch.ipynb b/examples/notebooks/beam-ml/run_inference_pytorch.ipynb
index 1dec04f020b..0909b4e0b5b 100644
--- a/examples/notebooks/beam-ml/run_inference_pytorch.ipynb
+++ b/examples/notebooks/beam-ml/run_inference_pytorch.ipynb
@@ -895,10 +895,10 @@
"key: second_question * 10, input: 108.0 output: 1075.4891357421875\n",
"key: first_question * 10, input: 105.0 output: 1045.84521484375\n",
"key: fourth_question * 10, input: 1013.0 output: 10018.0546875\n",
- "key: third_question * 5, input: 1000.0 output: 9889.59765625\n",
- "key: second_question * 5, input: 108.0 output: 1075.4891357421875\n",
- "key: first_question * 5, input: 105.0 output: 1045.84521484375\n",
- "key: fourth_question * 5, input: 1013.0 output: 10018.0546875\n"
+ "key: third_question * 5, input: 1000.0 output: 4962.61962890625\n",
+ "key: second_question * 5, input: 108.0 output: 538.472412109375\n",
+ "key: first_question * 5, input: 105.0 output: 523.5929565429688\n",
+ "key: fourth_question * 5, input: 1013.0 output: 5027.0966796875\n"
]
}
],
@@ -916,7 +916,7 @@
" | read_from_bq\n",
" | \"CreateMultiplyFiveTuple\" >> beam.Map(lambda x: ('{} {}'.format(x['key'], '* 5'), x['value']))\n",
" | \"ConvertNumpyToTensorFiveTuple\" >> beam.Map(lambda x: (x[0], torch.Tensor([x[1]])))\n",
- " | \"RunInferenceTorchFiveTuple\" >> RunInference(keyed_torch_ten_times_model_handler)\n",
+ " | \"RunInferenceTorchFiveTuple\" >> RunInference(keyed_torch_five_times_model_handler)\n",
" )\n",
" multiply_ten = (\n",
" p \n",