[XLA:CPU] Fix Test failure for oneDNN Convolutions with XLA
I believe it's ok to adjust tolerances to 1e-4 unconditionally. I see okay, but we need a minimum relative tolerance of 3e-4 for some of the F64 outputs to match the corresponding outputs of oneDNN's F32 implementation of batch reduce convolution.
In this test, the F32 output is compared to the F64 output and is expected to match with a tolerance of 1e-5. However, due to significant accumulations caused by large accumulation chains for some inputs, oneDNN algorithms loose precision in some cases. Hence, we need to adjust the tolerance levels accordingly.