[ROCm][Bugfix] Fixed several bugs related to rccl path and attention selector logic (#3699)

Dockerfile.rocm

@@ -90,6 +90,6 @@ RUN cd /app \
     && cd ..
 
 RUN python3 -m pip install --upgrade pip
-RUN python3 -m pip install --no-cache-dir ray[all]
+RUN python3 -m pip install --no-cache-dir ray[all]==2.9.3
 
 CMD ["/bin/bash"]

requirements-rocm.txt

@@ -5,7 +5,7 @@ starlette
 requests
 py-cpuinfo
 psutil
-ray >= 2.9
+ray == 2.9.3
 sentencepiece  # Required for LLaMA tokenizer.
 numpy
 tokenizers>=0.15.0

vllm/attention/backends/xformers.py

@@ -405,8 +405,8 @@ def _check_use_naive_attention() -> bool:
     if not is_hip():
         return False
     # For ROCm, check whether flash attention is installed or not.
-    has_flash_attn = importlib.util.find_spec("flash_attn") is None
-    if not has_flash_attn:
+    use_naive_attention = importlib.util.find_spec("flash_attn") is None
+    if use_naive_attention:
         logger.warning("flash_attn is not installed. Using naive attention. "
                        "This will take significantly more GPU memory.")
         return True

vllm/model_executor/parallel_utils/pynccl.py

@@ -41,7 +41,7 @@ else:
     if torch.version.cuda is not None:
         so_file = "libnccl.so.2"
     elif torch.version.hip is not None:
-        so_file = "librccl.so.2"
+        so_file = "librccl.so.1"
     else:
         raise ValueError("NCCL only supports CUDA and ROCm backends.")
     logger.debug(f"Loading nccl from library {so_file}")