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Why in TensorFlow implementations of metrics `tensorflow.python.ops.x` is used instead of `tf.x`


Calling a function of a module by using its name (a string)Python join: why is it string.join(list) instead of list.join(string)?Emulate a do-while loop in Python?Why can't Python parse this JSON data?Why is reading lines from stdin much slower in C++ than Python?Why is “1000000000000000 in range(1000000000000001)” so fast in Python 3?Tensorflow: how to save/restore a model?What's the purpose of tf.app.flags in TensorFlow?TensorFlow not found using pipTensorFlow: why not use a function instead of a placeholder?






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0















I am curious why in TF implementations of metrics (and probably everywhere else) tensorflow.python.ops.x are used instead of just tf.x, for example, here tensorflow.python.ops.math_ops.reduce_sum is used instead of tf.reduce_sum.



Guess: is it done for efficiency, so that we don't need to do import tensorflow as tf?










share|improve this question
































    0















    I am curious why in TF implementations of metrics (and probably everywhere else) tensorflow.python.ops.x are used instead of just tf.x, for example, here tensorflow.python.ops.math_ops.reduce_sum is used instead of tf.reduce_sum.



    Guess: is it done for efficiency, so that we don't need to do import tensorflow as tf?










    share|improve this question




























      0












      0








      0








      I am curious why in TF implementations of metrics (and probably everywhere else) tensorflow.python.ops.x are used instead of just tf.x, for example, here tensorflow.python.ops.math_ops.reduce_sum is used instead of tf.reduce_sum.



      Guess: is it done for efficiency, so that we don't need to do import tensorflow as tf?










      share|improve this question
















      I am curious why in TF implementations of metrics (and probably everywhere else) tensorflow.python.ops.x are used instead of just tf.x, for example, here tensorflow.python.ops.math_ops.reduce_sum is used instead of tf.reduce_sum.



      Guess: is it done for efficiency, so that we don't need to do import tensorflow as tf?







      python tensorflow






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 27 at 18:28







      Yuri

















      asked Mar 27 at 18:04









      YuriYuri

      1368 bronze badges




      1368 bronze badges

























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          2















          If you look at the Tensorflow reference page for your example (reduce_sum)
          https://www.tensorflow.org/api_docs/python/tf/math/reduce_sum



          you will see that you can use tf.math.reduce_sum or tf.reduce_sum interchangeably, as they are aliased to each other.



          In the example page that you linked to, that was Tensorflow code within the tensorflow/tensorflow/python/ops/metrics_impl.py module, and it was referencing code imported as



          from tensorflow.python.ops import math_ops


          This is the best way for this code to reference code within its own tensorflow.python.ops module. The tf.reduce_sum reference is the way to reference code from outside the tensorflow source code itself, as will be the case for most user code. It is best to follow the documentation page references to better survive future code reorganizations, etc.






          share|improve this answer
























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            If you look at the Tensorflow reference page for your example (reduce_sum)
            https://www.tensorflow.org/api_docs/python/tf/math/reduce_sum



            you will see that you can use tf.math.reduce_sum or tf.reduce_sum interchangeably, as they are aliased to each other.



            In the example page that you linked to, that was Tensorflow code within the tensorflow/tensorflow/python/ops/metrics_impl.py module, and it was referencing code imported as



            from tensorflow.python.ops import math_ops


            This is the best way for this code to reference code within its own tensorflow.python.ops module. The tf.reduce_sum reference is the way to reference code from outside the tensorflow source code itself, as will be the case for most user code. It is best to follow the documentation page references to better survive future code reorganizations, etc.






            share|improve this answer





























              2















              If you look at the Tensorflow reference page for your example (reduce_sum)
              https://www.tensorflow.org/api_docs/python/tf/math/reduce_sum



              you will see that you can use tf.math.reduce_sum or tf.reduce_sum interchangeably, as they are aliased to each other.



              In the example page that you linked to, that was Tensorflow code within the tensorflow/tensorflow/python/ops/metrics_impl.py module, and it was referencing code imported as



              from tensorflow.python.ops import math_ops


              This is the best way for this code to reference code within its own tensorflow.python.ops module. The tf.reduce_sum reference is the way to reference code from outside the tensorflow source code itself, as will be the case for most user code. It is best to follow the documentation page references to better survive future code reorganizations, etc.






              share|improve this answer



























                2














                2










                2









                If you look at the Tensorflow reference page for your example (reduce_sum)
                https://www.tensorflow.org/api_docs/python/tf/math/reduce_sum



                you will see that you can use tf.math.reduce_sum or tf.reduce_sum interchangeably, as they are aliased to each other.



                In the example page that you linked to, that was Tensorflow code within the tensorflow/tensorflow/python/ops/metrics_impl.py module, and it was referencing code imported as



                from tensorflow.python.ops import math_ops


                This is the best way for this code to reference code within its own tensorflow.python.ops module. The tf.reduce_sum reference is the way to reference code from outside the tensorflow source code itself, as will be the case for most user code. It is best to follow the documentation page references to better survive future code reorganizations, etc.






                share|improve this answer













                If you look at the Tensorflow reference page for your example (reduce_sum)
                https://www.tensorflow.org/api_docs/python/tf/math/reduce_sum



                you will see that you can use tf.math.reduce_sum or tf.reduce_sum interchangeably, as they are aliased to each other.



                In the example page that you linked to, that was Tensorflow code within the tensorflow/tensorflow/python/ops/metrics_impl.py module, and it was referencing code imported as



                from tensorflow.python.ops import math_ops


                This is the best way for this code to reference code within its own tensorflow.python.ops module. The tf.reduce_sum reference is the way to reference code from outside the tensorflow source code itself, as will be the case for most user code. It is best to follow the documentation page references to better survive future code reorganizations, etc.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 27 at 19:43









                SolverWorldSolverWorld

                4032 silver badges6 bronze badges




                4032 silver badges6 bronze badges





















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