[NPU] removes deprecated pr testing files (#27859)

python/sglang/test/ascend/test_ascend_utils.py

@@ -164,9 +164,6 @@ QWEN3_32B_W8A8_MINDIE_WEIGHTS_PATH = os.path.join(
     MODEL_WEIGHTS_DIR, "aleoyang/Qwen3-32B-w8a8-MindIE"
 )
 QWQ_32B_W8A8_WEIGHTS_PATH = os.path.join(MODEL_WEIGHTS_DIR, "vllm-ascend/QWQ-32B-W8A8")
-REDHATAI_QWEN2_5_0_5B_INSTRUCT_QUANTIZED_W8A8_WEIGHTS_PATH = os.path.join(
-    MODEL_WEIGHTS_DIR, "RedHatAI/Qwen2.5-0.5B-Instruct-quantized.w8a8"
-)
 SMOLLM_1_7B_WEIGHTS_PATH = os.path.join(MODEL_WEIGHTS_DIR, "HuggingFaceTB/SmolLM-1.7B")
 STABLELM_2_1_6B_WEIGHTS_PATH = os.path.join(
     MODEL_WEIGHTS_DIR, "stabilityai/stablelm-2-1_6b"

test/registered/ascend/basic_function/quant/test_npu_w8a8_quantization.py

@@ -1,73 +0,0 @@
-"""
-Usage:
-python3 -m unittest test_ascend_w8a8_quantization.TestAscendW8A8.test_gsm8k
-"""
-
-import os
-import time
-import unittest
-
-import requests
-
-from sglang.test.ascend.gsm8k_ascend_mixin import GSM8KAscendMixin
-from sglang.test.ascend.test_ascend_utils import (
-    REDHATAI_QWEN2_5_0_5B_INSTRUCT_QUANTIZED_W8A8_WEIGHTS_PATH,
-)
-from sglang.test.ci.ci_register import register_npu_ci
-from sglang.test.test_utils import CustomTestCase, is_in_ci, write_github_step_summary
-
-register_npu_ci(est_time=400, suite="stage-b-test-1-npu-a2", nightly=False)
-register_npu_ci(est_time=400, suite="nightly-1-npu-a3", nightly=True)
-
-
-class TestAscendW8A8CompressedTensors(GSM8KAscendMixin, CustomTestCase):
-    model = REDHATAI_QWEN2_5_0_5B_INSTRUCT_QUANTIZED_W8A8_WEIGHTS_PATH
-    other_args = [
-        "--trust-remote-code",
-        "--disable-cuda-graph",
-        "--device",
-        "npu",
-        "--attention-backend",
-        "ascend",
-    ]
-    env = {
-        **os.environ,
-    }
-
-    # GSM8K Configs
-    accuracy = 0.3  # GSM8K accuracy ≥0.3
-    num_questions = 200
-    gsm8k_num_shots = 5
-    output_throughput = 700  # GSM8K output throughput >=700 tokens/s
-
-    def run_decode(self, max_new_tokens):
-        response = requests.post(
-            self.base_url + "/generate",
-            json={
-                "text": "The capital of France is",
-                "sampling_params": {
-                    "temperature": 0,
-                    "max_new_tokens": max_new_tokens,
-                },
-                "ignore_eos": True,
-            },
-        )
-        return response.json()
-
-    def test_throughput(self):
-        max_tokens = 256
-
-        tic = time.perf_counter()
-        res = self.run_decode(max_tokens)
-        tok = time.perf_counter()
-        throughput = max_tokens / (tok - tic)
-        summary = f"\nThroughput: {throughput} tokens/s"
-        print(res["text"] + summary)
-
-        if is_in_ci():
-            write_github_step_summary(summary + "\nThroughput threshold: 25 tokens/s")
-            self.assertGreaterEqual(throughput, 25)
-
-
-if __name__ == "__main__":
-    unittest.main()