[Core] Interface for accessing model from VllmRunner (#10353)
Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
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@@ -12,19 +12,22 @@ from vllm.model_executor.layers.quantization.quark.quark import ( # noqa: E501
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def test_quark_fp8(vllm_runner):
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model_path = "amd/Llama-3.1-8B-Instruct-FP8-KV-Quark-test"
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with vllm_runner(model_path) as llm:
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model = llm.model.llm_engine.model_executor.driver_worker.model_runner.model # noqa: E501
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layer = model.model.layers[0]
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qkv_proj = layer.self_attn.qkv_proj
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def check_model(model):
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layer = model.model.layers[0]
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assert isinstance(qkv_proj.quant_method, QuarkLinearMethod)
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assert isinstance(qkv_proj.scheme, QuarkW8A8Fp8)
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qkv_proj = layer.self_attn.qkv_proj
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if isinstance(qkv_proj.scheme, QuarkW8A8Fp8):
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assert len(qkv_proj.input_scale.shape) == 0
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assert qkv_proj.weight.dtype is torch.float8_e4m3fn
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#assert qkv_proj.weight.dtype is torch.float8_e4m3fnuz
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assert len(qkv_proj.weight_scale.shape) == 0
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assert isinstance(qkv_proj.quant_method, QuarkLinearMethod)
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assert isinstance(qkv_proj.scheme, QuarkW8A8Fp8)
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if isinstance(qkv_proj.scheme, QuarkW8A8Fp8):
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assert len(qkv_proj.input_scale.shape) == 0
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assert qkv_proj.weight.dtype is torch.float8_e4m3fn
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#assert qkv_proj.weight.dtype is torch.float8_e4m3fnuz
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assert len(qkv_proj.weight_scale.shape) == 0
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llm.apply_model(check_model)
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output = llm.generate_greedy("Hello my name is", max_tokens=20)
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assert output
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