solve false negtive gap for multiple output operators (#16729)

[pytorchbot]

Summary:

When comparing AOT intermediate outputs with runtime, we believed that AOT and runtime should have same output for same operator. But if there're multiple intermediate outputs from a single operator / single operator blob, the statement may not correct. Like drop out, which only record output tensor during AOT, but in runtime we record both mask and output tensor.

To support that, for 1 to many scenerio, instead of only take the last element for comparsion, we compare the runtime output sharing the same size and dtype with the aot one to have the best comparsion.

Differential Revision: D91201882

[pytorch-bot]

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❌ 10 New Failures

As of commit c0833cd with merge base 7492d0d ():

NEW FAILURES - The following jobs have failed:

• pull / android / run-emulator (gh)
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• pull / test-lora-linux / linux-job (gh)
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• pull / test-samsung-quantmodels-linux / linux-job (gh)
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• Test CUDA Builds / test-model-cuda-e2e (mistralai, Voxtral-Mini-3B-2507, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 85246bc2875bf505424aa37c45ce549094819c83dd8af6f8f80338543fc60014 /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-large-v3-turbo, non-quantized) / linux-job (gh)
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• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-large-v3-turbo, quantized-int4-weight-only) / linux-job (gh)
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• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-small, non-quantized) / linux-job (gh)
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• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-small, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 11d528b1781b162bfb799ebfc011f71cd5d41ca7add6a7d01456e2ddd0a1ddca /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-small, quantized-int4-weight-only) / linux-job (gh)
  RuntimeError: Command docker exec -t 8cbaaac72ec4ba21df56e67f2560f5ebc3fa550ca58f5ec43388ac6dc8f317c0 /exec failed with exit code 1

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