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Diffstat (limited to 'tensorflow/core/profiler/g3doc/profile_time.md')
| -rw-r--r-- | tensorflow/core/profiler/g3doc/profile_time.md | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/core/profiler/g3doc/profile_time.md b/tensorflow/core/profiler/g3doc/profile_time.md index e11a75553b..4aafc697a9 100644 --- a/tensorflow/core/profiler/g3doc/profile_time.md +++ b/tensorflow/core/profiler/g3doc/profile_time.md @@ -1,4 +1,4 @@ -##Profile Time +## Profile Time * [Times in TensorFlow and tfprof](#times-in-tensorflow-and-tfprof) * [Profile by Python Code](#profile-by-python-code) @@ -7,7 +7,7 @@ * [Profile by Name Scope](#profile-by-name-scope) -###Times in TensorFlow and tfprof +### Times in TensorFlow and tfprof When we run a model, Tensorflow schedules and runs the nodes (operations) in the graph. An operation can be placed on an accelerator or on CPU. @@ -37,7 +37,7 @@ When an operation is placed on CPU, it will completely run on CPU. Hence, should be 0. -###Profile by Python Code +### Profile by Python Code ```python # In code view, the time of each line of Python code is the aggregated # times of all operations created by that line. @@ -112,7 +112,7 @@ Set ```-output timeline:outfile=<filename>``` to generate timeline instead of st </left> -###Profile by Operation Type +### Profile by Operation Type ```python # In op view, you can view the aggregated time of each operation type. tfprof> op -select micros,occurrence -order_by micros @@ -138,7 +138,7 @@ MatMul 618.97ms (63.56%, 16.51%), |/job:worker/replica:0/ ``` -###Profile by Graph +### Profile by Graph Usually, use graph view to generate a timeline to visualize the result. @@ -163,7 +163,7 @@ Open a Chrome browser, enter URL chrome://tracing and load the timeline file. ****************************************************** ``` -###Profile by Name Scope +### Profile by Name Scope Usually scope view allows you to pin point the problematic places if you have properly named your operations with tf.name_scope or tf.variable_scope. |