[BLOCKER] Fix in v1.19.1 for dataclass error due to triton package update

[MohitIntel]

The triton package within requirements-hpu.txt got an update to version 3.2.0 today (https://pypi.org/project/triton/#history).
This breaks our current 1.19 based dockers on Gaudi 2 (probably Gaudi3 as well) and prevents vllm from running any example. (offline/online both).
Fixing this package version to 3.1.0 solves the issue.

A user trying a fresh install of vllm would otherwise see this message when trying to launch vllm offline_inference.py example on 1.19 dockers (Seen on vllm-fork v1.19.0/1/2 branch)

Traceback (most recent call last):
  File "/root/vllm-fork/examples/offline_inference.py", line 3, in <module>
    from vllm import LLM, SamplingParams
  File "/root/vllm-fork/vllm/__init__.py", line 7, in <module>
    from vllm.engine.arg_utils import AsyncEngineArgs, EngineArgs
  File "/root/vllm-fork/vllm/engine/arg_utils.py", line 11, in <module>
    from vllm.config import (CacheConfig, ConfigFormat, DecodingConfig,
  File "/root/vllm-fork/vllm/config.py", line 16, in <module>
    from vllm.model_executor.layers.quantization import QUANTIZATION_METHODS
  File "/root/vllm-fork/vllm/model_executor/layers/quantization/__init__.py", line 5, in <module>
    from vllm.model_executor.layers.quantization.awq_marlin import AWQMarlinConfig
  File "/root/vllm-fork/vllm/model_executor/layers/quantization/awq_marlin.py", line 6, in <module>
    import vllm.model_executor.layers.fused_moe  # noqa
  File "/root/vllm-fork/vllm/model_executor/layers/fused_moe/__init__.py", line 34, in <module>
    import vllm.model_executor.layers.fused_moe.fused_marlin_moe  # noqa
  File "/root/vllm-fork/vllm/model_executor/layers/fused_moe/fused_marlin_moe.py", line 8, in <module>
    from vllm.model_executor.layers.fused_moe.fused_moe import (
  File "/root/vllm-fork/vllm/model_executor/layers/fused_moe/fused_moe.py", line 18, in <module>
    from vllm_hpu_extension.ops import scaled_fp8_quant
  File "/usr/local/lib/python3.10/dist-packages/vllm_hpu_extension/ops.py", line 9, in <module>
    import habana_frameworks.torch as htorch
  File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/__init__.py", line 54, in <module>
    import habana_frameworks.torch.core
  File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/core/__init__.py", line 114, in <module>
    import_compilers()
  File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/dynamo/compile_backend/backends.py", line 39, in import_compilers
    from .compilers import hpu_inference_compiler, hpu_training_compiler_bw, hpu_training_compiler_fw
  File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/dynamo/compile_backend/compilers.py", line 27, in <module>
    from .freezing_passes import freeze
  File "/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/dynamo/compile_backend/freezing_passes.py", line 28, in <module>
    from torch._inductor.freezing import discard_traced_gm_params, invalidate_eager_modules, replace_params_with_constants
  File "/usr/local/lib/python3.10/dist-packages/torch/_inductor/freezing.py", line 15, in <module>
    from torch._inductor.fx_passes.freezing_patterns import freezing_passes
  File "/usr/local/lib/python3.10/dist-packages/torch/_inductor/fx_passes/freezing_patterns.py", line 5, in <module>
    from torch._inductor.compile_fx import fake_tensor_prop
  File "/usr/local/lib/python3.10/dist-packages/torch/_inductor/compile_fx.py", line 49, in <module>
    from torch._inductor.debug import save_args_for_compile_fx_inner
  File "/usr/local/lib/python3.10/dist-packages/torch/_inductor/debug.py", line 26, in <module>
    from . import config, ir  # noqa: F811, this is needed
  File "/usr/local/lib/python3.10/dist-packages/torch/_inductor/ir.py", line 77, in <module>
    from .runtime.hints import ReductionHint
  File "/usr/local/lib/python3.10/dist-packages/torch/_inductor/runtime/hints.py", line 36, in <module>
    attr_desc_fields = {f.name for f in fields(AttrsDescriptor)}
  File "/usr/lib/python3.10/dataclasses.py", line 1198, in fields
    raise TypeError('must be called with a dataclass type or instance') from None
TypeError: must be called with a dataclass type or instance