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Merged
ktras merged 2 commits into from
Apr 10, 2024
Merged

Work around ifx bug #142

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b2f2080
test(ifx):fewer training iterations prevents crash
rouson Apr 10, 2024
84defec
test(tensor_range): increase tolerance
rouson Apr 10, 2024
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4 changes: 2 additions & 2 deletions test/tensor_range_test_m.f90
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Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ function write_then_read_tensor_range() result(test_passes)

function map_to_from_training_range() result(test_passes)
logical test_passes
real, parameter :: tolerance = 1.E-08
real, parameter :: tolerance = 1.E-07

associate(tensor_range => tensor_range_t(layer="output", minima=[-4., 0., 1., -1.], maxima=[0., 2., 5., 1.]))
associate(tensor => tensor_t([-2., 0., 5., 0.]))
Expand All @@ -76,4 +76,4 @@ function map_to_from_training_range() result(test_passes)
end associate
end function

end module tensor_range_test_m
end module tensor_range_test_m
6 changes: 6 additions & 0 deletions test/trainable_engine_test_m.f90 → test/trainable_engine_test_m.F90
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Expand Up @@ -281,9 +281,15 @@ function xor_gate_with_random_weights() result(test_passes)
type(trainable_engine_t) trainable_engine
real(rkind), parameter :: tolerance = 1.E-02_rkind
real(rkind), allocatable :: harvest(:,:,:)
#ifndef __INTEL_COMPILER
integer, parameter :: num_inputs=2, mini_batch_size = 1, num_iterations=500000
!! Depending on where in the random-number sequence the weights start, this test can pass for lower
!! numbers of iterations, e.g., 400000. Using more iterations gives more robust convergence.
#else
integer, parameter :: num_inputs=2, mini_batch_size = 1, num_iterations=52219
!! Reducing num_iterations yields a less robust test, but increasing num_iterations causes this
!! test to crash when compiled with the Intel ifx compiler.
#endif
integer batch, iter

allocate(harvest(num_inputs, mini_batch_size, num_iterations))
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