message: Fix typos in "Profile Model Float Operations" documentation.
diff: @@ -46,21 +46,21 @@ 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.
  -
  -
  + 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
  