[Misc] Rev DeepEP (vllm-project#27122)

Signed-off-by: Varun Sundar Rabindranath <vsundarr@redhat.com> Co-authored-by: Varun Sundar Rabindranath <vsundarr@redhat.com>

Author: varun-sundar-rabindranath

tools/ep_kernels/install_python_libraries.sh

@@ -119,7 +119,7 @@ popd
 
 # build and install deepep, require pytorch installed
 pushd $WORKSPACE
-clone_repo "https://github.com/deepseek-ai/DeepEP" "DeepEP" "setup.py" "e3908bf"
+clone_repo "https://github.com/deepseek-ai/DeepEP" "DeepEP" "setup.py" "73b6ea4"
 cd DeepEP
 export NVSHMEM_DIR=$WORKSPACE/nvshmem_install
 $PIP_CMD install --no-build-isolation -vvv -e .

vllm/model_executor/layers/fused_moe/deepep_ll_prepare_finalize.py

@@ -52,7 +52,7 @@ class DeepEPLLPrepareAndFinalize(mk.FusedMoEPrepareAndFinalize):
  # specific hidden sizes.
  # NOTE: Keep this list sorted, maybe_roundup_layer_hidden_size depends
  # on it.
- SUPPORTED_HIDDEN_SIZES = [2048, 2560, 4096, 5120, 6144, 7168, 8192]
+ SUPPORTED_HIDDEN_SIZES = [2048, 2560, 3072, 4096, 5120, 6144, 7168, 8192]
 
  @staticmethod
  def maybe_roundup_layer_hidden_size(hidden_size: int) -> int: