[ROCm][AMD] unify CUDA_VISIBLE_DEVICES usage in cuda/rocm (#6352)

Dockerfile.rocm

@@ -52,25 +52,25 @@ RUN pip install --upgrade pip
 # Remove sccache so it doesn't interfere with ccache
 # TODO: implement sccache support across components
 RUN apt-get purge -y sccache; pip uninstall -y sccache; rm -f "$(which sccache)"
-# Install torch == 2.4.0 on ROCm
+# Install torch == 2.5.0 on ROCm
 RUN case "$(ls /opt | grep -Po 'rocm-[0-9]\.[0-9]')" in \
         *"rocm-5.7"*) \
             pip uninstall -y torch torchaudio torchvision \
             && pip install --no-cache-dir --pre \
-                torch==2.4.0.dev20240612 torchaudio==2.4.0.dev20240612 \
-                torchvision==0.19.0.dev20240612 \
+                torch==2.5.0.dev20240710 torchaudio==2.4.0.dev20240710 \
+                torchvision==0.20.0.dev20240710 \
                --index-url https://download.pytorch.org/whl/nightly/rocm5.7;; \
         *"rocm-6.0"*) \
             pip uninstall -y torch torchaudio torchvision \
             && pip install --no-cache-dir --pre \
-                torch==2.4.0.dev20240612 torchaudio==2.4.0.dev20240612 \
-                torchvision==0.19.0.dev20240612 \
+                torch==2.5.0.dev20240710 torchaudio==2.4.0.dev20240710 \
+                torchvision==0.20.0.dev20240710 \
                --index-url https://download.pytorch.org/whl/nightly/rocm6.0;; \
         *"rocm-6.1"*) \
             pip uninstall -y torch torchaudio torchvision \
             && pip install --no-cache-dir --pre \
-                torch==2.4.0.dev20240612 torchaudio==2.4.0.dev20240612 \
-                torchvision==0.19.0.dev20240612 \
+                torch==2.5.0.dev20240710 torchaudio==2.4.0.dev20240710 \
+                torchvision==0.20.0.dev20240710 \
                --index-url https://download.pytorch.org/whl/nightly/rocm6.1;; \
         *) ;; esac
 

tests/distributed/test_utils.py

 import ray
 
 import vllm.envs as envs
-from vllm.utils import (cuda_device_count_stateless, is_hip,
+from vllm.utils import (cuda_device_count_stateless,
                         update_environment_variables)
 
 
@@ -22,11 +22,6 @@ class _CUDADeviceCountStatelessTestActor:
 def test_cuda_device_count_stateless():
     """Test that cuda_device_count_stateless changes return value if
     CUDA_VISIBLE_DEVICES is changed."""
-    if is_hip():
-        # Set HIP_VISIBLE_DEVICES == CUDA_VISIBLE_DEVICES. Conversion
-        # is handled by `update_environment_variables`
-        update_environment_variables(
-            {"CUDA_VISIBLE_DEVICES": envs.CUDA_VISIBLE_DEVICES})
     actor = _CUDADeviceCountStatelessTestActor.options(  # type: ignore
         num_gpus=2).remote()
     assert sorted(ray.get(

vllm/config.py

@@ -6,7 +6,6 @@ from typing import TYPE_CHECKING, ClassVar, List, Optional, Tuple, Union
 import torch
 from transformers import PretrainedConfig
 
-import vllm.envs as envs
 from vllm.logger import init_logger
 from vllm.model_executor.layers.quantization import QUANTIZATION_METHODS
 from vllm.model_executor.models import ModelRegistry
@@ -14,7 +13,7 @@ from vllm.tracing import is_otel_installed
 from vllm.transformers_utils.config import get_config, get_hf_text_config
 from vllm.utils import (cuda_device_count_stateless, get_cpu_memory, is_cpu,
                         is_hip, is_neuron, is_openvino, is_tpu, is_xpu,
-                        print_warning_once, update_environment_variables)
+                        print_warning_once)
 
 if TYPE_CHECKING:
     from ray.util.placement_group import PlacementGroup
@@ -695,12 +694,6 @@ class ParallelConfig:
             self.distributed_executor_backend = backend
             logger.info("Defaulting to use %s for distributed inference",
                         backend)
-        # If CUDA_VISIBLE_DEVICES is set on ROCm prior to vLLM init,
-        # propagate changes to HIP_VISIBLE_DEVICES (conversion handled by
-        # the update_environment_variables function)
-        if is_hip() and envs.CUDA_VISIBLE_DEVICES:
-            update_environment_variables(
-                {"CUDA_VISIBLE_DEVICES": envs.CUDA_VISIBLE_DEVICES})
 
         self._verify_args()
         self.rank = 0

vllm/utils.py

@@ -386,10 +386,6 @@ def get_open_port() -> int:
 
 
 def update_environment_variables(envs: Dict[str, str]):
-    if is_hip() and "CUDA_VISIBLE_DEVICES" in envs:
-        # Propagate changes to CUDA_VISIBLE_DEVICES to
-        # ROCm's HIP_VISIBLE_DEVICES as well
-        envs["HIP_VISIBLE_DEVICES"] = envs["CUDA_VISIBLE_DEVICES"]
     for k, v in envs.items():
         if k in os.environ and os.environ[k] != v:
             logger.warning(

vllm/worker/worker_base.py

@@ -11,7 +11,7 @@ from vllm.logger import init_logger
 from vllm.lora.request import LoRARequest
 from vllm.sequence import (ExecuteModelRequest, IntermediateTensors,
                            SamplerOutput)
-from vllm.utils import (enable_trace_function_call_for_thread, is_hip,
+from vllm.utils import (enable_trace_function_call_for_thread,
                         update_environment_variables)
 from vllm.worker.model_runner_base import ModelRunnerBase, ModelRunnerInputBase
 
@@ -309,14 +309,6 @@ class WorkerWrapperBase:
             # overwriting CUDA_VISIBLE_DEVICES is desired behavior
             # suppress the warning in `update_environment_variables`
             del os.environ[key]
-            if is_hip():
-                hip_env_var = "HIP_VISIBLE_DEVICES"
-                if hip_env_var in os.environ:
-                    logger.warning(
-                        "Ignoring pre-set environment variable `%s=%s` as "
-                        "%s has also been set, which takes precedence.",
-                        hip_env_var, os.environ[hip_env_var], key)
-                os.environ.pop(hip_env_var, None)
         update_environment_variables(envs)
 
     def init_worker(self, *args, **kwargs):