[inductor][ci] Fix torchbench dependency issue with numpy

[pytorchbot]

For some reason, pip will always upgrade the numpy version even when an older version has been installed.
We have to lock numpy version to the old version to make this constraint explicit.

Torchbench commit: pytorch/benchmark@23512db

Second attempt to fix #128845

[pytorch-bot]

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❌ 1 New Failure, 8 Unrelated Failures

As of commit 09c7330 with merge base b66e3f0 ():

NEW FAILURE - The following job has failed:

• pull / linux-focal-py3_8-clang9-xla / test (xla, 1, 1, linux.12xlarge) (gh)
  test_repeat_truncated

UNSTABLE - The following jobs failed but were likely due to flakiness present on trunk and has been marked as unstable:

• inductor / cuda12.1-py3.10-gcc9-sm86 / test (aot_inductor_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh) (#128903)
  hf_BigBird
• inductor / cuda12.1-py3.10-gcc9-sm86 / test (dynamic_inductor_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh) (#128902)
  hf_BigBird
• inductor / cuda12.1-py3.10-gcc9-sm86 / test (inductor_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh) (#128901)
  hf_BigBird
• inductor / linux-jammy-cpu-py3.8-gcc11-inductor / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal, unstable) (gh)
  Process completed with exit code 1.
• inductor / rocm6.1-py3.8-inductor / test (inductor, 1, 1, linux.rocm.gpu.2) (gh) (#128871)
  test_torch.py::TestTorchDeviceTypeCUDA::test_conv_transposed_large_cuda
• inductor-periodic / cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (aot_eager_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh) (#128929)
  hf_BigBird
• inductor-periodic / cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (dynamic_aot_eager_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh) (#128931)
  hf_BigBird
• inductor-periodic / cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks / test (dynamo_eager_torchbench, 1, 2, linux.g5.4xlarge.nvidia.gpu) (gh) (#128932)
  hf_BigBird

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