| a04353fda800b66c9f6fcb3d3699415db72fb792 |
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18-Jan-2018 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Dynamically print helper message based on user queries.
PiperOrigin-RevId: 182298241
/external/tensorflow/tensorflow/core/profiler/internal/tfprof_show.cc
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| 19c27ef0d52c20a12800005751d36f96bd948869 |
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03-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Fine-grained memory profiling
Add residual_bytes, peak_bytes and output_bytes.
Allow to order/select/filter by
accelerator_micros/cpu_micros/peak_bytes/residual_bytes/output_bytes
Also updated the testdata.
PiperOrigin-RevId: 164079214
/external/tensorflow/tensorflow/core/profiler/internal/tfprof_show.cc
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| edac90c7c75b93ba149823257caf69ac9391c10b |
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01-Aug-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Add support to generate pprof results to tf.profiler
A fun thing is, it can not only profile time,memory
but also parameters, etc.
PiperOrigin-RevId: 163767517
/external/tensorflow/tensorflow/core/profiler/internal/tfprof_show.cc
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| 154df32a959df74b3a1c377ff72f955d755b3d34 |
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07-Jul-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Follow up changes of tfprof migration:
1. Add a option_builder module to build options for Python API.
2. Expose necessary profiler protos.
3. Rename command line tool from tfprof to profiler.
PiperOrigin-RevId: 161160274
/external/tensorflow/tensorflow/core/profiler/internal/tfprof_show.cc
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| af23ae65db2585f4a18d0bc5f21f15e94805aa4f |
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04-Jul-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Migrating tfprof python API to tensorflow/python/profiler
Migrating tfprof c++ to tensorflow/core/profiler
API changes:
New tf.profiler namespace.
Within tf.profiler namespace:
tf.profiler.advise # One-shot advise function
tf.profiler.profile # One-shot profile function
tf.profiler.Profiler # Multi-step profile/advise class
tf.profiler.write_op_log # Write profile for offline analysis
PiperOrigin-RevId: 160901831
/external/tensorflow/tensorflow/core/profiler/internal/tfprof_show.cc
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