[Neuron] Remove bypass on EAGLEConfig and add a test (#18514)

Signed-off-by: Elaine Zhao <elaineyz@amazon.com>

.buildkite/scripts/hardware_ci/run-neuron-test.sh

@@ -53,4 +53,11 @@ docker run --rm -it --device=/dev/neuron0 --network bridge \
        -e "NEURON_COMPILE_CACHE_URL=${NEURON_COMPILE_CACHE_MOUNT}" \
        --name "${container_name}" \
        ${image_name} \
-       /bin/bash -c "python3 /workspace/vllm/examples/offline_inference/neuron.py && python3 -m pytest /workspace/vllm/tests/neuron/1_core/ -v --capture=tee-sys && python3 -m pytest /workspace/vllm/tests/neuron/2_core/ -v --capture=tee-sys"
+       /bin/bash -c "
+            python3 /workspace/vllm/examples/offline_inference/neuron.py;
+            python3 -m pytest /workspace/vllm/tests/neuron/1_core/ -v --capture=tee-sys;
+            for f in /workspace/vllm/tests/neuron/2_core/*.py; do
+                echo 'Running test file: '$f;
+                python3 -m pytest \$f -v --capture=tee-sys;
+            done
+       "

tests/neuron/2_core/test_eagle.py

@@ -0,0 +1,82 @@
+# SPDX-License-Identifier: Apache-2.0
+
+import json
+import os
+import shutil
+import tempfile
+
+import torch
+from huggingface_hub import snapshot_download
+from safetensors import safe_open
+
+from vllm import LLM, SamplingParams
+
+
+def patch_eagle_draft_with_lm_head(target_model_id: str,
+                                   draft_model_id: str) -> str:
+    # In NxDI, draft model checkpoint must include lm_head weights from target
+    # model. For more details see https://awsdocs-neuron.readthedocs-hosted.com
+    # /en/latest/libraries/nxd-inference/developer_guides/feature-guide.html
+    # #eagle-checkpoint-compatibility
+    final_draft_dir = "/tmp/patched_eagle_draft"
+
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        target_dir = snapshot_download(repo_id=target_model_id,
+                                       local_dir=os.path.join(
+                                           tmp_dir, "target"))
+        draft_dir = snapshot_download(repo_id=draft_model_id,
+                                      local_dir=os.path.join(tmp_dir, "draft"))
+
+        lm_head_key = "lm_head.weight"
+        index_path = os.path.join(target_dir, "model.safetensors.index.json")
+        with open(index_path) as f:
+            index = json.load(f)
+        shard_name = index["weight_map"][lm_head_key]
+        target_safetensor_path = os.path.join(target_dir, shard_name)
+
+        with safe_open(target_safetensor_path, framework="pt") as f:
+            target_lm_head = f.get_tensor(lm_head_key)
+
+        draft_path = os.path.join(draft_dir, "pytorch_model.bin")
+        draft_state_dict = torch.load(draft_path, map_location="cpu")
+        draft_state_dict[lm_head_key] = target_lm_head.to(torch.float16)
+        torch.save(draft_state_dict, draft_path)
+
+        shutil.copytree(draft_dir, final_draft_dir, dirs_exist_ok=True)
+
+    return final_draft_dir
+
+
+def test_eagle():
+    patched_draft_path = patch_eagle_draft_with_lm_head(
+        target_model_id="meta-llama/Llama-2-7b-hf",
+        draft_model_id="yuhuili/EAGLE-llama2-chat-7B")
+    llm = LLM(
+        model="meta-llama/Llama-2-7b-hf",
+        speculative_config={
+            "model": patched_draft_path,
+            "num_speculative_tokens": 5,
+            "max_model_len": 128
+        },
+        max_num_seqs=1,
+        max_model_len=128,
+        tensor_parallel_size=2,
+        override_neuron_config={
+            "enable_eagle_speculation": True,
+            "enable_fused_speculation": True,
+            "fused_qkv": True
+        },
+    )
+    prompts = [
+        "The president of the United States is",
+    ]
+    outputs = llm.generate(prompts, SamplingParams(top_k=1))
+    expected_output = " the head of state and head of government of " \
+    "the United States. The president direct"
+
+    for output in outputs:
+        generated_text = output.outputs[0].text
+        print(f"Prompt: {output.prompt!r}, Generated text: {generated_text!r}")
+        assert (expected_output == generated_text)
+
+    print("Neuron Eagle speculation test passed.")

tests/neuron/2_core/test_mistral.py

@@ -12,8 +12,7 @@ def test_mistral():
               override_neuron_config={
                   "sequence_parallel_enabled": False,
                   "skip_warmup": True
-              },
-              device="neuron")
+              })
 
     # Send more prompts than the compiled batch size (4) and request
     # varying generation lengths to test accuracy related to Neuron
@@ -59,4 +58,7 @@ def test_mistral():
 
     for expected_output, output in zip(expected_outputs, outputs):
         generated_text = output.outputs[0].text
+        print(f"Prompt: {output.prompt!r}, Generated text: {generated_text!r}")
         assert (expected_output == generated_text)
+
+    print("Neuron Mistral test passed.")

vllm/config.py

@@ -2529,11 +2529,10 @@ class SpeculativeConfig:
                             "Chunked prefill and EAGLE are not compatible "
                             "when using V0.")
 
-                    from vllm.platforms import current_platform
                     from vllm.transformers_utils.configs.eagle import (
                         EAGLEConfig)
                     if isinstance(self.draft_model_config.hf_config,
-                                  EAGLEConfig) or current_platform.is_neuron():
+                                  EAGLEConfig):
                         pass
                     else:
                         eagle_config = EAGLEConfig(