Batch normalization, more concurrency, & NAG compiler support

This release adds

• A tensor_range_t type that 🧑‍🌾 🌱
  • Encapsulates input and output tensor component minima and maxima,
  • Provides type-bound map_to_training_range and map_from_training_range procedures for mapping tensors to and from the unit interval [0,1], and 🤺
  • Provides a type-bound in_range procedure that users can employ to check whether inference input or output data involve extrapolation beyond the respective ranges employed in training.
• BREAKING CHANGE: the network JSON file format has been updated to include input_range and output_range objects. The JSON file reader in this release may fail to read or write network files that are written or read by older versions of Inference-Engine. 🚒 🗄️ 📂
• Automatic use of the aforementioned mapping capability during inference. 🧭
• Enhanced concurrency to improve performance: 🐎
  • Additional use of do concurrent in the training algorithm and 🚄 🚋
  • Enabling building with OpenMP in the setup.sh script. 🏗️ 👷‍♀️
• Additional compiler support: this is the first release that builds with the NAG Fortran compiler starting with compiler Build 7202.

What's Changed

• Simplify app: rm redundant procedures by @rouson in #102
• Concurrent inference example by @rouson in #103
• Exploit additional concurrency in the training algorithm by @rouson in #105
• feat(example): add nested do-loop inferences by @rouson in #106
• chore(examples): match program names to file names by @rouson in #109
• feat(infer): allow non-type-bound invocations by @rouson in #110
• doc(README): minimum gfortran version 13 by @rouson in #111
• Add new fpm subproject icar-trainer by @ktras in #108
• Enable OpenMP in setup script & work around related compiler bug by @rouson in #114
• fix(run-fpm.sh): revert to copying header into build dir by @rouson in #115
• Remove module keyword from abstract interface by @ktras in #116
• Compute & output tensor histograms in columnar format & add gnuplot script by @rouson in #118
• Bugfixes for nag by @ktras in #119
• fix(examples): .f90->.F90 to preprocess files by @rouson in #121
• Get beyond one type of Intel bugs by @ktras in #120
• Nagfor workaround by @rouson in #122
• chore(test): rm nagfor compiler workaround by @rouson in #129
• Workaround intel bug by @ktras in #128
• doc(README): add compilers in testing instructions by @rouson in #130
• build(fpm.toml): increment dependency versions by @rouson in #131
• More robust Adam optimizer test by @rouson in #134
• Ifx workarounds + train longer in Adam test to pass with nagfor by @rouson in #135
• Store tensor ranges by @rouson in #137
• build(random_init): rm final nagfor workaround by @rouson in #136
• Feature: Add input/output tensor component ranges to network files by @rouson in #138
• Feature: map input to unit range & output tensors from unit range in inference_engine_t infer procedure by @rouson in #139
• Normalize in training by @rouson in #140
• Fix training restarts by @rouson in #141

New Contributors

• @ktras made their first contribution in #108

Full Changelog: 0.10.0...0.11.0