[LLM] Bump to nixl==0.4.1

docker/ray-llm/Dockerfile

@@ -76,7 +76,7 @@ sudo apt-get install -y kmod pkg-config librdmacm-dev cmake
         --no-questions
 )
 
-UCX_VERSION="1.18.1"
+UCX_VERSION="1.19.0"
 (
     echo "Installing UCX ${UCX_VERSION}"
     cd "${TEMP_DIR}"
@@ -109,7 +109,7 @@ UCX_VERSION="1.18.1"
 )
 
 # Keep in sync with llm-requirements.txt
-NIXL_VERSION="0.3.1"
+NIXL_VERSION="0.4.1"
 (
     echo "Installing NIXL ${NIXL_VERSION}"
     # NIXL needs meson pybind11 ninja, but should have been included in requirements_*.txt

python/requirements/llm/llm-requirements.txt

@@ -16,4 +16,4 @@ hf_transfer
 transformers<4.54.0 # Due to https://github.com/vllm-project/vllm-ascend/issues/2046
 
 # nixl version Needs to be in sync with the one in ray-llm/Dockerfile
-nixl==0.3.1
+nixl==0.4.1

python/requirements_compiled_rayllm_py311_cpu.txt

@@ -1672,11 +1672,15 @@ ninja==1.11.1.3 \
     #   -r python/requirements/llm/llm-requirements.txt
     #   vllm
     #   xgrammar
-nixl==0.3.1 \
-    --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \
-    --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \
-    --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \
-    --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081
+nixl==0.4.1 \
+    --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \
+    --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \
+    --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \
+    --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \
+    --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \
+    --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \
+    --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \
+    --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9
     # via
     #   -c python/requirements_compiled_rayllm_test_py311_cpu.txt
     #   -r python/requirements/llm/llm-requirements.txt

python/requirements_compiled_rayllm_py311_cu121.txt

@@ -1672,11 +1672,15 @@ ninja==1.11.1.3 \
     #   -r python/requirements/llm/llm-requirements.txt
     #   vllm
     #   xgrammar
-nixl==0.3.1 \
-    --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \
-    --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \
-    --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \
-    --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081
+nixl==0.4.1 \
+    --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \
+    --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \
+    --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \
+    --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \
+    --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \
+    --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \
+    --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \
+    --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9
     # via
     #   -c python/requirements_compiled_rayllm_test_py311_cu121.txt
     #   -r python/requirements/llm/llm-requirements.txt

python/requirements_compiled_rayllm_py311_cu128.txt

@@ -1636,11 +1636,15 @@ ninja==1.11.1.4 \
     #   -r python/requirements/llm/llm-requirements.txt
     #   vllm
     #   xgrammar
-nixl==0.3.1 \
-    --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \
-    --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \
-    --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \
-    --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081
+nixl==0.4.1 \
+    --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \
+    --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \
+    --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \
+    --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \
+    --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \
+    --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \
+    --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \
+    --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9
     # via
     #   -c python/requirements_compiled_rayllm_test_py311_cu128.txt
     #   -r python/requirements/llm/llm-requirements.txt

python/requirements_compiled_rayllm_test_py311_cpu.txt

@@ -2373,11 +2373,15 @@ ninja==1.11.1.3 \
     #   -r python/requirements/llm/llm-requirements.txt
     #   vllm
     #   xgrammar
-nixl==0.3.1 \
-    --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \
-    --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \
-    --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \
-    --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081
+nixl==0.4.1 \
+    --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \
+    --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \
+    --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \
+    --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \
+    --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \
+    --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \
+    --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \
+    --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9
     # via -r python/requirements/llm/llm-requirements.txt
 notebook==6.5.7 \
     --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \

python/requirements_compiled_rayllm_test_py311_cu121.txt

@@ -2373,11 +2373,15 @@ ninja==1.11.1.3 \
     #   -r python/requirements/llm/llm-requirements.txt
     #   vllm
     #   xgrammar
-nixl==0.3.1 \
-    --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \
-    --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \
-    --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \
-    --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081
+nixl==0.4.1 \
+    --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \
+    --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \
+    --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \
+    --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \
+    --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \
+    --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \
+    --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \
+    --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9
     # via -r python/requirements/llm/llm-requirements.txt
 notebook==6.5.7 \
     --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \

python/requirements_compiled_rayllm_test_py311_cu128.txt

@@ -2336,11 +2336,15 @@ ninja==1.11.1.4 \
     #   -r python/requirements/llm/llm-requirements.txt
     #   vllm
     #   xgrammar
-nixl==0.3.1 \
-    --hash=sha256:20428ad2668062a79045fae83cc5cba1f4019d4a2c7053cc8549c3a1533f8a75 \
-    --hash=sha256:70b8932b50ccf1a13ac8fa2e10a4b78290baae9f963bfecfa67684104331a94b \
-    --hash=sha256:8c144839484b3076f0b34ad8ceaeaff05c23399cf57ca85f2a94b44e1475a39b \
-    --hash=sha256:ff59996ad05a7e4ba6c8beba0f1d8ac2f9e53df696a15af0d3340028e2f16081
+nixl==0.4.1 \
+    --hash=sha256:10c7b4a44f89c3fbff3e20cb84973be95f8df36ee336fb108275ed1839fec1f1 \
+    --hash=sha256:510cc9e824ad53cac71ce55ff41160f2a9e1507ceb52eb871b775fe1e42beb87 \
+    --hash=sha256:8a3d83b28c16b795bdc281f1489b9d247f6e6088ad96ca96406072a36d6354b7 \
+    --hash=sha256:9381fd3986d227c7ccb2607c03bbea559ec80f951e2ea47c1fbf381e4cd97164 \
+    --hash=sha256:9ab7e580e9962ebdcda8c17f8548858d3fdb648621367d8e717ca317b534b778 \
+    --hash=sha256:db144821de7912cb2502052b3070a1ac276b8b019470e6efdfce9c237ffe130d \
+    --hash=sha256:e33102b85b3f95a8c95e59b59b29aabd03d47b5bce619de506b9bb83739cf60d \
+    --hash=sha256:f16092dd445542e82e3db3553f6c7697ec5a2e837f19d416401283ae245826f9
     # via -r python/requirements/llm/llm-requirements.txt
 notebook==6.5.7 \
     --hash=sha256:04eb9011dfac634fbd4442adaf0a8c27cd26beef831fe1d19faf930c327768e4 \