Work around ifx bug#142
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More training iterations in the trainable_engine_test_m function xor_gate_with_random_weights() yields a test that is less sensitive to the specific random number sequence used to initialize network weights. However, large number of iterations cause the test suite to crash when compiled with the Intel ifx compiler due to an apparent compiler bug. This commit therefore set the number of iterations for which the test suite currently passes with the gfortran, ifx, and NAG compilers.
The previous tolerance (1.E-08) in the tensor_range_test_m function map_to_from_training_range() was slightly too strict for default- real arithmetic. This commit increases the tolerance to 1.E-07.
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