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Diffstat (limited to 'tensorflow/docs_src/performance/performance_guide.md')
| -rw-r--r-- | tensorflow/docs_src/performance/performance_guide.md | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/tensorflow/docs_src/performance/performance_guide.md b/tensorflow/docs_src/performance/performance_guide.md index 8a1bba883a..07c5d3087f 100644 --- a/tensorflow/docs_src/performance/performance_guide.md +++ b/tensorflow/docs_src/performance/performance_guide.md @@ -1,8 +1,10 @@ -# Performance +# Performance Guide This guide contains a collection of best practices for optimizing your TensorFlow code. The best practices apply to both new and experienced -Tensorflow users. +Tensorflow users. As a complement to the best practices in this document, the +@{$performance_models$High-Performance Models} document links to example code +and details for creating models that scale on a variety of hardware. ## Best Practices While optimizing implementations of different types of models can be different, @@ -73,7 +75,7 @@ Unless for a special circumstance or for example code, do not feed data into the session from Python variables, e.g. `dictionary`. ```python -# This will result in poor performance. +# Using feed_dict often results in suboptimal performance when using large inputs. sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys}) ``` @@ -141,3 +143,4 @@ bn = tf.contrib.layers.batch_norm( The non-fused batch norm does computations using several individual Ops. Fused batch norm combines the individual operations into a single kernel, which runs faster. + |