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Diffstat (limited to 'tensorflow/tools/tfprof/README.md')
| -rw-r--r-- | tensorflow/tools/tfprof/README.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/tools/tfprof/README.md b/tensorflow/tools/tfprof/README.md index c83cdd45b6..540e179aae 100644 --- a/tensorflow/tools/tfprof/README.md +++ b/tensorflow/tools/tfprof/README.md @@ -30,7 +30,7 @@ statistics. tfprof is part of TensorFlow core. Simply ```import tensorflow as tf```. -### Examine the shapes and sizes of all trainiable Variables. +### Examine the shapes and sizes of all trainable Variables. ```python # Print trainable variable parameter statistics to stdout. param_stats = tf.contrib.tfprof.model_analyzer.print_model_analysis( @@ -439,7 +439,7 @@ with gfile.Open(os.path.join(output_dir, "run_meta"), "w") as f: <b>--op_log_path:</b> tensorflow::tfprof::OpLog. A proto used to provide extra op information for ops. By giving a group of ops a type name, users can easily aggregate the -statistics for those ops without accidently missing or including extra ops. +statistics for those ops without accidentally missing or including extra ops. tfprof exposes the following Python API to add op information and logging. ```python |