[Misc] downgrade nvidia-cutlass-dsl to 4.5.0

[ZJY0516]

Purpose

4.5.1 breaks the flashinfer GDN kernel on gb200.

How to reproduce:

pytest -s -v tests/gdn/test_prefill_delta_rule.py::test_prefill_kernel_basic[float16-64-seq_lens0-1-1-1-128-1.0-False-True]

Test Plan

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project

from vllm import LLM, SamplingParams

# Sample prompts.
prompts = [
    "Hello, my name is",
    "The president of the United States is",
    "The capital of France is",
    "The future of AI is",
]
# Create a sampling params object.
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)


def main():
    # Create an LLM.
    llm = LLM(model="Qwen/Qwen3.6-35B-A3B")
    # Generate texts from the prompts.
    # The output is a list of RequestOutput objects
    # that contain the prompt, generated text, and other information.
    outputs = llm.generate(prompts, sampling_params)
    # Print the outputs.
    print("\nGenerated Outputs:\n" + "-" * 60)
    for output in outputs:
        prompt = output.prompt
        generated_text = output.outputs[0].text
        print(f"Prompt:    {prompt!r}")
        print(f"Output:    {generated_text!r}")
        print("-" * 60)


if __name__ == "__main__":
    main()

Test Result

---

Essential Elements of an Effective PR Description Checklist

• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
• The test results, such as pasting the results comparison before and after, or e2e results
• (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

[gemini-code-assist]

Code Review

This pull request downgrades the nvidia-cutlass-dsl[cu13] package from version 4.5.1 to 4.5.0 in the requirements/cuda.txt file. I have no feedback to provide as there were no review comments to evaluate.

[MatthewBonanni]

LGTM