Concurrent loop through each mini-batch during training #178
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This commit allocates a pair_cost array for each mini-batch so that each input/output pair's contribution to the cost function sum can be stored in a separate element rather than keeping a sequential running tally as the loop through the mini-batch progresses. This change lays the groundwork for making the loop concurrent, which in turn lays the foundation for using a Fortran 2023 concurrent reduction. The calulaiton is currently redundant with a running sum so that a match between the two can be verified in an assertion. The reundancy and the assertion will be removed in a future commit.
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This PR lays the groundwork for parallelizing or offloading a significant part of the training algorithm to a GPU.