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gpu: nvgpu: unit: atomic: Use labs when operating on long
Use labs() instead of abs() when operating with longs. Change-Id: Ibb1f2c69099387478b41b66cf68539b460bc2be3 Signed-off-by: Terje Bergstrom <tbergstrom@nvidia.com> Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2318390 Reviewed-by: automaticguardword <automaticguardword@nvidia.com> Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com> Reviewed-by: svc-mobile-misra <svc-mobile-misra@nvidia.com> Reviewed-by: Alex Waterman <alexw@nvidia.com> Reviewed-by: mobile promotions <svcmobile_promotions@nvidia.com> GVS: Gerrit_Virtual_Submit Tested-by: mobile promotions <svcmobile_promotions@nvidia.com>
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Alex Waterman
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@@ -1,5 +1,5 @@
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/*
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* Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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@@ -775,7 +775,7 @@ int test_atomic_arithmetic_threaded(struct unit_module *m,
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/* sanity test that the threads aren't all sequential */
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bool sequential = true;
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for (i = 0; i < (num_threads - 1); i++) {
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if (abs(threads[i].final_val - threads[i+1].final_val)
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if (labs(threads[i].final_val - threads[i+1].final_val)
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!= (long)args->loop_count) {
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sequential = false;
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break;
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