test_eigh_op, test_eigvalsh_op tolerance

[zlsh80826]

• 标题：test_eigh_op, test_eigvalsh_op 單測問題
• 版本、环境信息：
     1）PaddlePaddle版本：develop
     2）CPU/GPU：GPU, CUDA 11.6
     3）系统环境：Ubuntu20.04
     4）Python版本号: python3.8
• 复现信息:

ctest -R test_eigh_op
ctest -R test_eigvalsh_op

• 问题描述：请详细描述您的问题，同步贴出报错信息、日志/代码关键片段

1. 在 CUDA 11.6 後 cusolver 改進了 Ssyevd 的性能, 但同時和 numpy 的差異會略微放大 test_eigh_op, test_eigvalsh_op tolerance 需要修改至 2e-6 之上
2. Complex 單測需求 Hermitian matrix (對角元素 imag 的部分需要為 0), 參考文件, test_eigh_op, test_eigvalsh_op

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[Zjq9409]

eigh 算子修改PR链接为：#39568

[zlsh80826]

Thank @Zjq9409. I am running the unit test on our environment to ensure the PR works well.
Hi @huangjun12, test_eigvalsh_op has same the issue with test_eigh_op. Could you help to update the test_eigval_sh_op.py? Thanks

[zlsh80826]

@Zjq9409 I have tested #39568, but it seems I had wrong conclusion in the past. The tolerance needs to be more higher. Following is the error message in our environment.
I investaged the reason and found that 2e-6 is for [5, 5] input(the case I investigated before). The [32, 32] input needs a higher tolerance (atol=6e-5, rtol=5e-6)

test_eigh_op failed
 .......F....
======================================================================
FAIL: test_check_output_gpu (test_eigh_op.TestEighGPUCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/opt/paddle/paddle/build/python/paddle/fluid/tests/unittests/test_eigh_op.py", line 75, in test_check_output_gpu
    np.testing.assert_allclose(
  File "/usr/local/lib/python3.8/dist-packages/numpy/testing/_private/utils.py", line 1530, in assert_allclose
    assert_array_compare(compare, actual, desired, err_msg=str(err_msg),
  File "/usr/local/lib/python3.8/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare
    raise AssertionError(msg)
AssertionError: 
Not equal to tolerance rtol=2e-06, atol=2e-06

Mismatched elements: 10 / 32 (31.2%)
Max absolute difference: 5.054474e-05
Max relative difference: 4.041603e-06
 x: array([-2.78129 , -2.573316, -2.460475, -2.090341, -1.802978, -1.725366,
       -1.633694, -1.468698, -1.250094, -0.896905, -0.634157, -0.491122,
       -0.47392 , -0.3968  , -0.152721, -0.108726, -0.039511,  0.275858,...
 y: array([-2.781283, -2.573307, -2.460468, -2.090336, -1.802972, -1.72536 ,
       -1.633688, -1.468692, -1.250091, -0.896903, -0.634154, -0.49112 ,
       -0.473918, -0.396798, -0.15272 , -0.108726, -0.039511,  0.275857,...

----------------------------------------------------------------------
Ran 12 tests in 2.927s

FAILED (failures=1)

[Zjq9409]

@Zjq9409 I have tested #39568, but it seems I had wrong conclusion in the past. The tolerance needs to be more higher. Following is the error message in our environment. I investaged the reason and found that 2e-6 is for [5, 5] input(the case I investigated before). The [32, 32] input needs a higher tolerance (atol=6e-5, rtol=5e-6)

test_eigh_op failed
 .......F....
======================================================================
FAIL: test_check_output_gpu (test_eigh_op.TestEighGPUCase)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/opt/paddle/paddle/build/python/paddle/fluid/tests/unittests/test_eigh_op.py", line 75, in test_check_output_gpu
    np.testing.assert_allclose(
  File "/usr/local/lib/python3.8/dist-packages/numpy/testing/_private/utils.py", line 1530, in assert_allclose
    assert_array_compare(compare, actual, desired, err_msg=str(err_msg),
  File "/usr/local/lib/python3.8/dist-packages/numpy/testing/_private/utils.py", line 844, in assert_array_compare
    raise AssertionError(msg)
AssertionError: 
Not equal to tolerance rtol=2e-06, atol=2e-06

Mismatched elements: 10 / 32 (31.2%)
Max absolute difference: 5.054474e-05
Max relative difference: 4.041603e-06
 x: array([-2.78129 , -2.573316, -2.460475, -2.090341, -1.802978, -1.725366,
       -1.633694, -1.468698, -1.250094, -0.896905, -0.634157, -0.491122,
       -0.47392 , -0.3968  , -0.152721, -0.108726, -0.039511,  0.275858,...
 y: array([-2.781283, -2.573307, -2.460468, -2.090336, -1.802972, -1.72536 ,
       -1.633688, -1.468692, -1.250091, -0.896903, -0.634154, -0.49112 ,
       -0.473918, -0.396798, -0.15272 , -0.108726, -0.039511,  0.275857,...

----------------------------------------------------------------------
Ran 12 tests in 2.927s

FAILED (failures=1)

已经更新rtol和atol值

[huangjun12]

Thank @Zjq9409. I am running the unit test on our environment to ensure the PR works well.
Hi @huangjun12, test_eigvalsh_op has same the issue with test_eigh_op. Could you help to update the test_eigval_sh_op.py? Thanks

eigvalsh修复pr：#39841