[Static Runtime] Fix precision error in test cases

[akshayParashar1995]

Summary:

• Test cases related to DeepAndWideSciptModel() was crashing at random due to precision issue
• test cases related for precision: DeepWide, KWargsAPI_1, KWargsAPI_2, KWargsAPI_Optional, FusionPass
• test failure was not observed always due to random input to the model (via torch::randn)
• Increasing the absolute tolerance for test cases

Differential Revision: D37639067

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This pull request was exported from Phabricator. Differential Revision: D37639067

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@pytorchbot merge

(Initiating merge automatically since Phabricator Diff has merged)

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@pytorchbot successfully started a merge job. Check the current status here

[github-actions]

Hey @akshayParashar1995.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.