onnxruntime

Attempt to fix flaky Windows GPU CI Pipeline 'cuda' stage. (#14281)

### Description
<!-- Describe your changes. -->
Change tolerance for tests involving MNIST and cuda to try and fix flaky
CI tests.

Errors from CI:

ModelTests/ModelTest.Run/cuda__models_zoo_opset8_MNIST_model 
expected 4.0755 (40826a83), got 4.06948 (40823938), diff: 0.00601721,
tol=0.0050755 idx=4. 2 of 10 differ
ModelTests/ModelTest.Run/cuda__models_zoo_opset7_MNIST_model
expected 7.89851 (40fcc09e), got 7.88879 (40fc70f8), diff: 0.00972271,
tol=0.00889851 idx=4. 4 of 10 differ
ModelTests/ModelTest.Run/cuda__models_zoo_opset12_MNIST12_mnist12
expected -5.50068 (c0b00595), got -5.49023 (c0afaff0), diff: 0.0104547,
tol=0.00650068 idx=1. 1 of 10 differ

Use rtol of 1e-2 if cuda is enabled. Use same for openvino for
simplicity.
 
```
>>> expected = np.array([4.0755, 7.89851, -5.50068], dtype=np.float32)
>>> actual = np.array([4.06948,  7.88879, -5.49023], dtype=np.float32)
>>> np.isclose(expected, actual, rtol=1e-2, atol=1e-3)
array([ True,  True,  True])
```

Whitespace changes are from clang-format. 


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
CI fails semi-frequently causing unnecessary re-runs.