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MOM6: Corrected line lengths and Travis testing#944

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adcroft merged 4 commits intomom-ocean:dev/gfdlfrom
Hallberg-NOAA:fix_line_lengths
Jul 8, 2019
Merged

MOM6: Corrected line lengths and Travis testing#944
adcroft merged 4 commits intomom-ocean:dev/gfdlfrom
Hallberg-NOAA:fix_line_lengths

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@Hallberg-NOAA
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Corrected the Travis tests to include testing for lines exceeding 120
characters in lenght, and fixed several places where excessive line lengths had
been allowed to be merged into dev/gfdl. All answers are bitwise identical and
there are not changes to the documentation files generated by MOM6. MOM6
commits with this PR include:

  RGC_tracer.F90 previously had some very long comments at the end of some
lines.  These have now been split onto multiple lines to respect the MOM6
standards for line-length.  All answers are bitwise identical.
  Split excessively long lines and corrected the syntax for unit documentation
in MOM_lateral_mixing_coeffs.F90 and MOM_thickness_diffuse.F90.  All answers are
bitwise identical.
  Added a dimensional scaling factor for fmax in MOM_hor_visc.F90 that was
dropped at some point in the merging of the dev/ncar code into dev/gfdl.  All
answers are bitwise identical and now pass the dimensional scaling test.
  Added the 120 character line limit into the travis testing script.
@Hallberg-NOAA
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This PR is being tested with https://gitlab.gfdl.noaa.gov/ogrp/MOM6/pipelines/8443

@adcroft adcroft merged commit 4cb18ac into mom-ocean:dev/gfdl Jul 8, 2019
@Hallberg-NOAA Hallberg-NOAA deleted the fix_line_lengths branch July 30, 2021 18:58
Hallberg-NOAA pushed a commit to Hallberg-NOAA/MOM6 that referenced this pull request Sep 19, 2025
* Add MOM_ANN module

* Mesoscale momentum parameterization with ANN

- Computes subgrid stress using ANN in MOM_Zanna_Bolton
- Uses MOM_ANN module for ANN inference

Equivalent MOM_override for defaults
```
USE_ZB2020 = True
ZB2020_USE_ANN = True
USE_CIRCULATION_IN_HORVISC = True
ZB2020_ANN_FILE_TALL = /path/to/ocean3d/subfilter/FGR3/EXP1/model/Tall.nc
```

* Mesoscale momentum parameterization with ANN (#2)

Blank commit after squash/rebase was handled on command line

* Moved MOM_ANN.F90 to src/framework/

* Minor refactor of MOM_ANN

- Removed unused modules
- Removed unused MOM_memory.h
- Added input and output means which default to 0 and
  do not need to be present in the weights file
- Gave defaults to means, norms, tests so that they do
  no need to be present in file
- Added missing array notation "(:)"
- Minor formatting

* Adds unit tests and timing test to MOM_ANN

- Added ANN_allocate, set_layer, set_input_normalization, and
  set_output_normalization methods to allow reconfiguration during
  unit tests
- Added ANN_unit_tests with some simple constructed-by-code
  networks with known solutions
- Added config_src/drivers/unit_tests/test_MOM_ANN.F90 to drive
  unit tests
- Added  config_src/drivers/timing_tests/time_MOM_ANN.F90 as
  rudimentary for timing inference

* Adding multiple forms of inference

- Adds inference operating on array (instead of single vector of
  features)
- Implements several different versions of inference with various
  loop orders
  - Involves storing the transpose of A in the type
  - Tested by checking inference on same inputs is identical between
    variants
    - Added randomizers to assist in unit testing
- Adds timing of variants to config_src/drivers/timing/time_MOM_ANN.F90
- Adds an interface (MOM_apply) to select preferred version of
  inference subroutine
- Added command line args to time_MOM_ANN.F90 to allow more rapid
  evaluation of performance

Variants explored, timed with gfortran (13.2) -O3 on Xeon:
- vector_v1:
  - original inference from Pavel
- vector_v2:
  - allocate work arrays just once, using widest layer
  - loop over layers in 2's to avoid pointer calculations and copies
  - speed up, x0.8 relative to v1
- vector_v3:
  - transpose loops
  - slow down, x1.54 relative to v1
- vector_v4:
  - transpose weights with same loop order as v1
  - slow down, x1.03 relative to v1
- array_v1:
  - same structure as v2, working on x(space,feature) input/outputs
  - speed up, x0.41 relative to v1
- array_v2:
  - as for array_v1 but with transposed loop order
  - apply activation function on vector of first index while in cache
  - speed up, x0.35 relative to v1
- array_v3:
  - same structure as v2, working on x(feature,space) input/outputs
  - speed up, x0.58 relative to v1

* Renamed ANN variants and added some module documentation

- Added module dox
- Renamed _v1, _v2 etc to labels
- Added ANN_apply_array_sio to ANN_apply interface
- Replaced "flops" with "MBps" in timing output

* Removed alternative variants of ANN in favor of optimized

- Deleted variants of ANN that did not perform as well as the two
  versions that remain.

* Apply array_sio function in ANN inference for momentum fluxes (#5)

* Apply array_sio ANN inference for computation of momentum fluxes

* remove trailing space

* Initial commit

* address Robert Hallberg code review

* Restore deafult value of ZB_SCALING coefficient

---------

Co-authored-by: Alistair Adcroft <Alistair.Adcroft@noaa.gov>
Co-authored-by: Alistair Adcroft <adcroft@users.noreply.github.com>
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