diff options
author | A. Unique TensorFlower <gardener@tensorflow.org> | 2018-04-05 09:17:57 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-04-05 09:21:13 -0700 |
commit | e6225d9835f63729a9006f10ca9e50068381663d (patch) | |
tree | 36a5af066e8012dab6ab9c7cad47721a1f7f47a6 /tensorflow/core/profiler | |
parent | 7162214b8acc23826f9b72fb6bb65fe4c4555c74 (diff) |
Fix typos in "Profile Model Float Operations" documentation.
PiperOrigin-RevId: 191751175
Diffstat (limited to 'tensorflow/core/profiler')
-rw-r--r-- | tensorflow/core/profiler/g3doc/profile_model_architecture.md | 32 |
1 files changed, 16 insertions, 16 deletions
diff --git a/tensorflow/core/profiler/g3doc/profile_model_architecture.md b/tensorflow/core/profiler/g3doc/profile_model_architecture.md index 61bb66bd21..4ccd43ce68 100644 --- a/tensorflow/core/profiler/g3doc/profile_model_architecture.md +++ b/tensorflow/core/profiler/g3doc/profile_model_architecture.md @@ -45,22 +45,22 @@ sys.stdout.write('total_params: %d\n' % param_stats.total_parameters) For an operation to have float operation statistics: -* It must have `RegisterStatistics('flops')` defined in TensorFlow. tfprof -use the definition to calculate float operations. Contributes are welcome. - -* It must have known "shape" information for RegisterStatistics('flops') -to calculate the statistics. It is suggested to pass in `-run_meta_path` if -shape is only known during runtime. tfprof can fill in the missing shape with -the runtime shape information from RunMetadata. -Hence, it is suggested to use `-account_displayed_op_only` -option so that you know the statistics are only for the operations printed out. - -* If no RunMetadata provided, tfprof count float_ops of each graph node once, -even if it is defined in tf.while_loop. This is because tfprof doesn't know -how many times are run statically. If RunMetadata provided, tfprof calculate -float_ops as float_ops * run_count. - - +* It must have `RegisterStatistics('flops')` defined in TensorFlow. tfprof + uses the definition to calculate float operations. Contributions are + welcomed. + +* It must have known "shape" information for RegisterStatistics('flops') to + calculate the statistics. It is suggested to pass in `-run_meta_path` if + shape is only known during runtime. tfprof can fill in the missing shape + with the runtime shape information from RunMetadata. Hence, it is suggested + to use `-account_displayed_op_only` option so that you know the statistics + are only for the operations printed out. + +* If no RunMetadata is provided, tfprof counts float_ops of each graph node + once, even if it is defined in a tf.while_loop. This is because tfprof + doesn't know statically how many times each graph node is run. If + RunMetadata is provided, tfprof calculates float_ops as float_ops * + run_count. ```python # To profile float opertions in commandline, you need to pass --graph_path |