Excluding ASAN and periodic jobs from slow job calculation (#74253)
Summary:
Mitigates https://github.com/pytorch/pytorch/issues/72368
As per discussion here https://github.com/pytorch/pytorch/issues/72368
Some ASAN tests take much longer then same tests that not run under ASAN:
```
test_fn_gradgrad_pca_lowrank_cpu_float64 (__main__.TestGradientsCPU) ... ok (60.780s)
test_fn_gradgrad_svd_cpu_complex128 (__main__.TestGradientsCPU) ... ok (69.131s)
test_inplace_gradgrad_cumprod_cpu_complex128 (__main__.TestGradientsCPU) ... ok (211.554s)
test_variant_consistency_jit_diff_cpu_complex64 (__main__.TestJitCPU) ... ok (67.640s)
2022-03-12T21:46:25.3026906Z test_variant_consistency_jit_linalg_solve_triangular_cpu_float32 (__main__.TestJitCPU) ... ok (125.208s)
2022-03-12T21:48:58.0469092Z test_variant_consistency_jit_linalg_svd_cpu_complex64 (__main__.TestJitCPU) ... ok (152.744s)
2022-03-12T21:50:11.6688335Z test_variant_consistency_jit_linalg_svd_cpu_float32 (__main__.TestJitCPU) ... ok (73.622s)
2022-03-12T21:54:44.5263321Z test_variant_consistency_jit_lu_solve_cpu_complex64 (__main__.TestJitCPU) ... ok (102.051s)
2022-03-12T21:55:35.6167891Z test_variant_consistency_jit_lu_solve_cpu_float32 (__main__.TestJitCPU) ... ok (51.090s)
2022-03-12T22:00:58.4220662Z test_variant_consistency_jit_nanquantile_cpu_float32 (__main__.TestJitCPU) ... ok (47.142s)
2022-03-12T22:12:25.8979944Z test_variant_consistency_jit_nn_functional_max_pool1d_cpu_float32 (__main__.TestJitCPU) ... ok (494.579s)
2022-03-12T22:32:45.9750642Z test_variant_consistency_jit_nn_functional_max_pool2d_cpu_float32 (__main__.TestJitCPU) ... ok (1220.077s)
2022-03-12T22:40:31.3121960Z test_variant_consistency_jit_nn_functional_max_pool3d_cpu_float32 (__main__.TestJitCPU) ... ok (465.337s)
2022-03-12T22:41:56.5711967Z test_variant_consistency_jit_nn_functional_pad_circular_cpu_complex64 (__main__.TestJitCPU) ... ok (58.542s)
2022-03-12T22:45:48.7048047Z test_variant_consistency_jit_nn_functional_pad_constant_cpu_complex64 (__main__.TestJitCPU) ... ok (232.128s)
2022-03-12T22:47:49.1422719Z test_variant_consistency_jit_nn_functional_pad_constant_cpu_float32 (__main__.TestJitCPU) ... ok (120.437s)
2022-03-12T22:48:48.9686822Z test_variant_consistency_jit_nn_functional_pad_reflect_cpu_complex64 (__main__.TestJitCPU) ... ok (59.826s)
2022-03-12T22:49:49.2502012Z test_variant_consistency_jit_nn_functional_pad_replicate_cpu_complex64 (__main__.TestJitCPU) ... ok (60.272s)
2022-03-12T22:51:02.5255728Z test_variant_consistency_jit_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestJitCPU) ... ok (73.208s)
2022-03-12T22:54:23.8291811Z test_variant_consistency_jit_norm_cpu_complex64 (__main__.TestJitCPU) ... ok (136.107s)
2022-03-12T22:55:33.0800761Z test_variant_consistency_jit_norm_cpu_float32 (__main__.TestJitCPU) ... ok (69.251s)
2022-03-12T22:57:50.4699741Z test_variant_consistency_jit_ormqr_cpu_complex64 (__main__.TestJitCPU) ... ok (105.720s)
2022-03-12T22:58:46.2191192Z test_variant_consistency_jit_ormqr_cpu_float32 (__main__.TestJitCPU) ... ok (55.749s)
2022-03-12T23:01:40.5424782Z test_variant_consistency_jit_prod_cpu_complex64 (__main__.TestJitCPU) ... ok (89.440s)
2022-03-12T23:03:20.2300845Z test_variant_consistency_jit_put_cpu_complex64 (__main__.TestJitCPU) ... ok (55.004s)
2022-03-12T23:05:34.2481242Z test_variant_consistency_jit_qr_cpu_complex64 (__main__.TestJitCPU) ... ok (106.490s)
2022-03-12T23:06:26.1268335Z test_variant_consistency_jit_qr_cpu_float32 (__main__.TestJitCPU) ... ok (51.879s)
2022-03-12T23:07:51.5261184Z test_variant_consistency_jit_quantile_cpu_float32 (__main__.TestJitCPU) ... ok (85.399s)
test_variant_consistency_jit_sort_cpu_float32 (__main__.TestJitCPU) ... ok (84.378s)
2022-03-12T23:23:48.6314435Z test_variant_consistency_jit_sum_cpu_complex64 (__main__.TestJitCPU) ... ok (55.706s)
2022-03-12T23:24:19.2219967Z test_variant_consistency_jit_sum_cpu_float32 (__main__.TestJitCPU) ... ok (30.590s)
2022-03-12T23:36:45.9809917Z test_variant_consistency_jit_svd_cpu_complex64 (__main__.TestJitCPU) ... ok (746.744s)
2022-03-12T23:42:42.7827088Z test_variant_consistency_jit_svd_cpu_float32 (__main__.TestJitCPU) ... ok (356.802s)
2022-03-12T23:47:12.7248896Z test_variant_consistency_jit_tile_cpu_complex64 (__main__.TestJitCPU) ... ok (85.721s)
```
-------------
This PR ignores ASAN and periodic job for slow job calculation.
Tested by printing the matched jobs rather then continue:
```
python export_slow_test.py
Overwriting existent file: .pytorch-slow-tests.json
linux-xenial-py3.7-clang7-asan-test
linux-xenial-py3.7-clang7-asan-test
linux-xenial-py3.7-clang7-asan-test
periodic-linux-xenial-cuda10.2-py3-gcc7-slow-gradcheck-test
periodic-linux-xenial-cuda10.2-py3-gcc7-slow-gradcheck-test
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/74253
Reviewed By: janeyx99
Differential Revision: D34906097
Pulled By: atalman
fbshipit-source-id: 48103f970e0c4e8683aebd8f78b7d7546fdb35d4
(cherry picked from commit 233e5942363e56c60a6f3d68aa09865158374acc)