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Diffstat (limited to 'tensorflow/docs_src/performance/performance_models.md')
-rw-r--r-- | tensorflow/docs_src/performance/performance_models.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/performance/performance_models.md b/tensorflow/docs_src/performance/performance_models.md index d415c29aa1..9ca1e77ff5 100644 --- a/tensorflow/docs_src/performance/performance_models.md +++ b/tensorflow/docs_src/performance/performance_models.md @@ -140,7 +140,7 @@ performance and increase the flexiblity of models. Most TensorFlow operations used by a CNN support both NHWC and NCHW data format. On GPU, NCHW is faster. But on CPU, NHWC is sometimes faster. -Building a model to support both date formats keeps the model flexible and +Building a model to support both data formats keeps the model flexible and capable of operating optimally regardless of platform. Most TensorFlow operations used by a CNN support both NHWC and NCHW data format. The benchmark script was written to support both NCHW and NHWC. NCHW should always be used |