Updated few links with direct URLs in data_performance.ipynb

[RenuPatelGoogle]

I have updated the links for routing directly to the mentioned section which was not working earlier. Also changed the code format of 2 words.

[github-actions]

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• site/en/guide/data_performance.ipynb

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Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb

If commits are added to the pull request, synchronize your local branch: git pull origin patch-26

[markmcd]

Thanks for the PR! Your link updates LGTM - if you can revert the steps change we can merge this.

[markmcd]

Your change LG, but can you fix the failing nbfmt check.

Details are in the check and in the comment from @github-actions.

Preview

Preview and run these notebook edits with Google Colab:

• site/en/guide/data_performance.ipynb

Rendered notebook diffs available on ReviewNB.com.

Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:
$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb
If commits are added to the pull request, synchronize your local branch: git pull origin patch-26

[8bitmp3]

Formatted the notebook. Thank you @markmcd @RenuPatelGoogle

[MarkDaoust]

Automated anchor links for headings are generated differently on different systems, I don't remember the formatting for colab vs. github vs. tensorflow.org. It's best to include an <a name=""> at the target location so that it unambiguously works in all contexts.

[RenuPatelGoogle]

Hi @MarkDaoust ,I don't have idea about the target location. In this case, Can I mention full URL of the working link? or you can suggest.

[MarkDaoust]

Sorry, my last comment didn't render correctly.

#Reducing-memory-footprint is trying to point to ### Reduce memory footprint heading.

Please add something like <a name="reduce-memory"> at each heading you're linking to, and update the link to match (like [link](#reduce-memory)). This is a good idea because each website normalizes the titles to anchors differently.

[RenuPatelGoogle]

You mean like below changes for the line - Use the prefetch transformation to overlap the work of a producer and consumer

Use the [<a name="prefetch">](#prefetching) transformation

or

Use the [prefetch](https://www.tensorflow.org/guide/data_performance#prefetching) transformation

[MarkDaoust]

No. For [Reduce memory usage](#Reducing-memory-footprint)

go down to the section you're trying to link to and add the <a> there:

### Reduce memory footprint

<a name="reduce_memory_footprint">

[RenuPatelGoogle]

@MarkDaoust, Sorry for the delay. I have updated the file as you suggested. Please verify it once if it is same as you described. Thank you.

[gbaned]

Hi @RenuPatelGoogle Can you please check @MarkDaoust's comments ? Thank you!

[gbaned]

Hi @RenuPatelGoogle Any update on this PR? Please. Thank you!

[RenuPatelGoogle]

Update data_performance.ipynb

@gbaned, Yes, I have added the changes. Waiting for review.

[github-actions]

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• site/en/guide/basics.ipynb
• site/en/guide/core/distribution.ipynb
• site/en/guide/core/logistic_regression_core.ipynb
• site/en/guide/core/matrix_core.ipynb
• site/en/guide/core/mlp_core.ipynb
• site/en/guide/core/quickstart_core.ipynb
• site/en/guide/data_performance.ipynb
• site/en/guide/distributed_training.ipynb
• site/en/guide/estimator.ipynb
• site/en/guide/function.ipynb
• site/en/guide/intro_to_graphs.ipynb
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• site/en/guide/jax2tf.ipynb
• site/en/guide/migrate/canned_estimators.ipynb
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• site/en/guide/migrate/saved_model.ipynb
• site/en/guide/migrate/tensorboard.ipynb
• site/en/guide/migrate/tpu_embedding.ipynb
• site/en/guide/mixed_precision.ipynb
• site/en/guide/saved_model.ipynb
• site/en/guide/tensor.ipynb
• site/en/guide/tensor_slicing.ipynb
• site/en/guide/tf_numpy.ipynb
• site/en/guide/tf_numpy_type_promotion.ipynb
• site/en/guide/tpu.ipynb
• site/en/hub/tutorials/action_recognition_with_tf_hub.ipynb
• site/en/hub/tutorials/bangla_article_classifier.ipynb
• site/en/hub/tutorials/bert_experts.ipynb
• site/en/hub/tutorials/bigbigan_with_tf_hub.ipynb
• site/en/hub/tutorials/biggan_generation_with_tf_hub.ipynb
• site/en/hub/tutorials/bird_vocalization_classifier.ipynb
• site/en/hub/tutorials/boundless.ipynb
• site/en/hub/tutorials/cord_19_embeddings.ipynb
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• site/en/hub/tutorials/cross_lingual_similarity_with_tf_hub_multilingual_universal_encoder.ipynb
• site/en/hub/tutorials/hrnet_semantic_segmentation.ipynb
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• site/en/hub/tutorials/image_enhancing.ipynb
• site/en/hub/tutorials/image_feature_vector.ipynb
• site/en/hub/tutorials/movenet.ipynb
• site/en/hub/tutorials/movinet.ipynb
• site/en/hub/tutorials/object_detection.ipynb
• site/en/hub/tutorials/retrieval_with_tf_hub_universal_encoder_qa.ipynb
• site/en/hub/tutorials/s3gan_generation_with_tf_hub.ipynb
• site/en/hub/tutorials/semantic_approximate_nearest_neighbors.ipynb
• site/en/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder.ipynb
• site/en/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb
• site/en/hub/tutorials/senteval_for_universal_sentence_encoder_cmlm.ipynb
• site/en/hub/tutorials/spice.ipynb
• site/en/hub/tutorials/text_classification_with_tf_hub_on_kaggle.ipynb
• site/en/hub/tutorials/text_to_video_retrieval_with_s3d_milnce.ipynb
• site/en/hub/tutorials/tf2_arbitrary_image_stylization.ipynb
• site/en/hub/tutorials/tf2_image_retraining.ipynb
• site/en/hub/tutorials/tf2_object_detection.ipynb
• site/en/hub/tutorials/tf2_semantic_approximate_nearest_neighbors.ipynb
• site/en/hub/tutorials/tf2_text_classification.ipynb
• site/en/hub/tutorials/tf_hub_delf_module.ipynb
• site/en/hub/tutorials/tf_hub_film_example.ipynb
• site/en/hub/tutorials/tf_hub_generative_image_module.ipynb
• site/en/hub/tutorials/tweening_conv3d.ipynb
• site/en/hub/tutorials/wav2vec2_saved_model_finetuning.ipynb
• site/en/hub/tutorials/wiki40b_lm.ipynb
• site/en/hub/tutorials/yamnet.ipynb
• site/en/install/lang_c.ipynb
• site/en/r1/guide/keras.ipynb
• site/en/r1/tutorials/eager/custom_layers.ipynb
• site/en/r1/tutorials/sequences/text_generation.ipynb
• site/en/tutorials/audio/music_generation.ipynb
• site/en/tutorials/audio/simple_audio.ipynb
• site/en/tutorials/distribute/custom_training.ipynb
• site/en/tutorials/distribute/dtensor_keras_tutorial.ipynb
• site/en/tutorials/distribute/dtensor_ml_tutorial.ipynb
• site/en/tutorials/distribute/input.ipynb
• site/en/tutorials/distribute/keras.ipynb
• site/en/tutorials/distribute/multi_worker_with_ctl.ipynb
• site/en/tutorials/distribute/multi_worker_with_estimator.ipynb
• site/en/tutorials/distribute/multi_worker_with_keras.ipynb
• site/en/tutorials/distribute/parameter_server_training.ipynb
• site/en/tutorials/estimator/keras_model_to_estimator.ipynb
• site/en/tutorials/estimator/linear.ipynb
• site/en/tutorials/generative/autoencoder.ipynb
• site/en/tutorials/generative/cyclegan.ipynb
• site/en/tutorials/generative/pix2pix.ipynb
• site/en/tutorials/generative/style_transfer.ipynb
• site/en/tutorials/images/classification.ipynb
• site/en/tutorials/images/transfer_learning.ipynb
• site/en/tutorials/images/transfer_learning_with_hub.ipynb
• site/en/tutorials/interpretability/integrated_gradients.ipynb
• site/en/tutorials/keras/classification.ipynb
• site/en/tutorials/keras/overfit_and_underfit.ipynb
• site/en/tutorials/load_data/csv.ipynb
• site/en/tutorials/load_data/text.ipynb
• site/en/tutorials/quickstart/advanced.ipynb
• site/en/tutorials/text/image_captioning.ipynb
• site/en/tutorials/text/warmstart_embedding_matrix.ipynb
• site/en/tutorials/text/word2vec.ipynb
• site/en/tutorials/video/transfer_learning_with_movinet.ipynb
• site/en/tutorials/video/video_classification.ipynb
• tools/templates/notebook.ipynb

Rendered notebook diffs available on ReviewNB.com.

Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb

If commits are added to the pull request, synchronize your local branch: git pull origin patch-26

[MarkDaoust]

Oops, It looks like on the latest version of the change all the added aren't properly intergrated into the json.

<a name="name"> should be "<a name=\"name\">\n",

It's best to just make the edits in a notebook editor (colab or jupyter) or at least check that they work in github with the "view file" button.

[MarkDaoust]

See my last comment.

[MarkDaoust]

Thanks!