From 52ca61944dc272cdf968535a8b6a6249c5056fe3 Mon Sep 17 00:00:00 2001 From: Guillaume Moutier Date: Mon, 15 Apr 2024 17:58:28 -0400 Subject: [PATCH] Fix #11 - Revert model comparison to Flan-T5 (#26) * Revert to Flan-T5 Remove CUDA from container update packages and switch to CPU torch update workbenches IS update deployment switch back to 1.3 update wb image * update conclusion --- .../ic-rhoai-configuration/images-puller.yaml | 2 +- .../workbench-imagestream.yaml | 10 +- bootstrap/ic-shared-llm/deployment-hftgi.yaml | 107 + .../ic-shared-llm/deployment-ollama.yaml | 81 - bootstrap/ic-shared-llm/kustomization.yaml | 6 +- .../{pvc-ollama.yaml => pvc-hftgi.yaml} | 4 +- ...service-ollama.yaml => service-hftgi.yaml} | 8 +- .../create-projects-and-resources-job.yaml | 2 +- .../create-projects-and-resources.bash | 2 +- bootstrap/workbench-image/Containerfile | 79 - .../workbench-image/NGC-DL-CONTAINER-LICENSE | 285 --- bootstrap/workbench-image/Pipfile | 6 +- bootstrap/workbench-image/Pipfile.lock | 1882 ++++++++++------- bootstrap/workbench-image/cuda.repo-x86_64 | 6 - bootstrap/workbench-image/requirements.txt | 145 +- .../03/03-04-comparing-model-servers.ipynb | 40 +- 16 files changed, 1311 insertions(+), 1354 deletions(-) create mode 100644 bootstrap/ic-shared-llm/deployment-hftgi.yaml delete mode 100644 bootstrap/ic-shared-llm/deployment-ollama.yaml rename bootstrap/ic-shared-llm/{pvc-ollama.yaml => pvc-hftgi.yaml} (85%) rename bootstrap/ic-shared-llm/{service-ollama.yaml => service-hftgi.yaml} (78%) delete mode 100644 bootstrap/workbench-image/NGC-DL-CONTAINER-LICENSE delete mode 100644 bootstrap/workbench-image/cuda.repo-x86_64 diff --git a/bootstrap/ic-rhoai-configuration/images-puller.yaml b/bootstrap/ic-rhoai-configuration/images-puller.yaml index 76561274..14681685 100644 --- a/bootstrap/ic-rhoai-configuration/images-puller.yaml +++ b/bootstrap/ic-rhoai-configuration/images-puller.yaml @@ -19,7 +19,7 @@ spec: spec: containers: - name: ic-workbench - image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/ic-workbench:2.0.1 + image: image-registry.openshift-image-registry.svc:5000/redhat-ods-applications/ic-workbench:2.1.0 command: ["tail"] args: ["-f", "/dev/null"] resources: diff --git a/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml b/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml index 58e6e60f..383abb5f 100644 --- a/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml +++ b/bootstrap/ic-rhoai-configuration/workbench-imagestream.yaml @@ -9,7 +9,7 @@ metadata: internal.config.kubernetes.io/previousKinds: ImageStream opendatahub.io/notebook-image-name: CUSTOM - Insurance Claim Processing Lab Workbench internal.config.kubernetes.io/previousNames: CUSTOM - Insurance Claim Processing Lab Workbench - opendatahub.io/recommended-accelerators: '["nvidia.com/gpu"]' + opendatahub.io/recommended-accelerators: '' opendatahub.io/notebook-image-desc: >- Jupyter notebook image with all the libraries needed for the OpenShift AI Insurance Claim Lab. argocd.argoproj.io/sync-wave: "1" @@ -25,17 +25,17 @@ spec: lookupPolicy: local: true tags: - - name: '2.0.1' + - name: '2.1.0' annotations: opendatahub.io/notebook-python-dependencies: >- - [{"name":"PyTorch","version":"2.1.2"},{"name":"Langchain","version":"0.1.12"},{"name":"Ultralytics","version":"8.1.29"},] + [{"name":"PyTorch","version":"2.2.2"},{"name":"Langchain","version":"0.1.12"},{"name":"Ultralytics","version":"8.1.47"},] opendatahub.io/notebook-software: >- - [{"name":"CUDA","version":"12.1"},{"name":"Python","version":"v3.11"}] + [{"name":"Python","version":"v3.11"}] openshift.io/imported-from: quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-workbench from: kind: DockerImage name: >- - quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-workbench:2.0.1 + quay.io/rh-aiservices-bu/rhoai-lab-insurance-claim-workbench:2.1.0 importPolicy: importMode: Legacy referencePolicy: diff --git a/bootstrap/ic-shared-llm/deployment-hftgi.yaml b/bootstrap/ic-shared-llm/deployment-hftgi.yaml new file mode 100644 index 00000000..32d9d93f --- /dev/null +++ b/bootstrap/ic-shared-llm/deployment-hftgi.yaml @@ -0,0 +1,107 @@ +kind: Deployment +apiVersion: apps/v1 +metadata: + name: llm-flant5 + namespace: ic-shared-llm + labels: + app: llm-flant5 +spec: + replicas: 1 + selector: + matchLabels: + app: llm-flant5 + template: + metadata: + creationTimestamp: null + labels: + app: llm-flant5 + spec: + restartPolicy: Always + schedulerName: default-scheduler + affinity: {} + terminationGracePeriodSeconds: 120 + securityContext: {} + containers: + - resources: + limits: + cpu: '4' + memory: 8Gi + requests: + cpu: '2' + memory: 6Gi + readinessProbe: + httpGet: + path: /health + port: http + scheme: HTTP + timeoutSeconds: 5 + periodSeconds: 30 + successThreshold: 1 + failureThreshold: 3 + terminationMessagePath: /dev/termination-log + name: server + livenessProbe: + httpGet: + path: /health + port: http + scheme: HTTP + timeoutSeconds: 8 + periodSeconds: 100 + successThreshold: 1 + failureThreshold: 3 + env: + - name: MODEL_ID + value: google/flan-t5-large + - name: MAX_INPUT_LENGTH + value: '416' + - name: MAX_TOTAL_TOKENS + value: '512' + - name: HUGGINGFACE_HUB_CACHE + value: /models-cache + - name: PORT + value: '3000' + - name: HOSTNAME + value: '0.0.0.0' + securityContext: + capabilities: + drop: + - ALL + runAsNonRoot: true + allowPrivilegeEscalation: false + seccompProfile: + type: RuntimeDefault + ports: + - name: http + containerPort: 3000 + protocol: TCP + imagePullPolicy: IfNotPresent + startupProbe: + httpGet: + path: /health + port: http + scheme: HTTP + timeoutSeconds: 1 + periodSeconds: 30 + successThreshold: 1 + failureThreshold: 24 + initialDelaySeconds: 60 + volumeMounts: + - name: models-cache + mountPath: /models-cache + - name: shm + mountPath: /dev/shm + terminationMessagePolicy: File + image: 'ghcr.io/huggingface/text-generation-inference:1.3' + volumes: + - name: models-cache + persistentVolumeClaim: + claimName: models-cache-hftgi + - name: shm + emptyDir: + medium: Memory + sizeLimit: 1Gi + dnsPolicy: ClusterFirst + strategy: + type: Recreate + revisionHistoryLimit: 10 + progressDeadlineSeconds: 600 \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/deployment-ollama.yaml b/bootstrap/ic-shared-llm/deployment-ollama.yaml deleted file mode 100644 index d781f4b2..00000000 --- a/bootstrap/ic-shared-llm/deployment-ollama.yaml +++ /dev/null @@ -1,81 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - name: ollama - namespace: ic-shared-llm -spec: - replicas: 1 - selector: - matchLabels: - app: ollama - strategy: - type: Recreate - template: - metadata: - labels: - app: ollama - spec: - containers: - - name: ollama - image: quay.io/rh-aiservices-bu/ollama-ubi9:0.1.30 - imagePullPolicy: Always - env: - - name: MODEL_ID - value: mistral:latest - - name: OLLAMA_MODELS - value: /.ollama/models - - name: OLLAMA_HOST - value: 0.0.0.0 - - name: OLLAMA_KEEP_ALIVE - value: '-1m' - securityContext: - capabilities: - drop: - - ALL - runAsNonRoot: true - allowPrivilegeEscalation: false - seccompProfile: - type: RuntimeDefault - ports: - - name: http - containerPort: 11434 - protocol: TCP - resources: - limits: - cpu: '4' - memory: 8Gi - requests: - cpu: '4' - memory: 8Gi - readinessProbe: - httpGet: - path: / - port: http - scheme: HTTP - timeoutSeconds: 5 - periodSeconds: 30 - successThreshold: 1 - failureThreshold: 3 - livenessProbe: - httpGet: - path: / - port: http - scheme: HTTP - timeoutSeconds: 8 - periodSeconds: 100 - successThreshold: 1 - failureThreshold: 3 - lifecycle: - postStart: - exec: - command: [ "/bin/sh", "-c", "/bin/ollama pull $MODEL_ID" ] - terminationMessagePath: /dev/termination-log - terminationMessagePolicy: File - volumeMounts: - - mountPath: /.ollama - name: ollama-cache - restartPolicy: Always - volumes: - - name: ollama-cache - persistentVolumeClaim: - claimName: ollama-cache \ No newline at end of file diff --git a/bootstrap/ic-shared-llm/kustomization.yaml b/bootstrap/ic-shared-llm/kustomization.yaml index d8cc7f81..92f3e794 100644 --- a/bootstrap/ic-shared-llm/kustomization.yaml +++ b/bootstrap/ic-shared-llm/kustomization.yaml @@ -11,9 +11,9 @@ resources: - fix-odf-config.yaml # wave 1 - pvc.yaml -- pvc-ollama.yaml +- pvc-hftgi.yaml - deployment.yaml - service.yaml -- deployment-ollama.yaml -- service-ollama.yaml +- deployment-hftgi.yaml +- service-hftgi.yaml # wave 2 diff --git a/bootstrap/ic-shared-llm/pvc-ollama.yaml b/bootstrap/ic-shared-llm/pvc-hftgi.yaml similarity index 85% rename from bootstrap/ic-shared-llm/pvc-ollama.yaml rename to bootstrap/ic-shared-llm/pvc-hftgi.yaml index aeccade9..0a1950bb 100644 --- a/bootstrap/ic-shared-llm/pvc-ollama.yaml +++ b/bootstrap/ic-shared-llm/pvc-hftgi.yaml @@ -2,10 +2,10 @@ apiVersion: v1 kind: PersistentVolumeClaim metadata: - name: ollama-cache + name: models-cache-hftgi namespace: ic-shared-llm labels: - app: ollama + app: ic-shared-llm annotations: argocd.argoproj.io/sync-wave: "0" spec: diff --git a/bootstrap/ic-shared-llm/service-ollama.yaml b/bootstrap/ic-shared-llm/service-hftgi.yaml similarity index 78% rename from bootstrap/ic-shared-llm/service-ollama.yaml rename to bootstrap/ic-shared-llm/service-hftgi.yaml index 9c4034bf..08b3b8ba 100644 --- a/bootstrap/ic-shared-llm/service-ollama.yaml +++ b/bootstrap/ic-shared-llm/service-hftgi.yaml @@ -1,10 +1,10 @@ kind: Service apiVersion: v1 metadata: - name: ollama + name: llm-flant5 namespace: ic-shared-llm labels: - app: ollama + app: llm-flant5 spec: clusterIP: None ipFamilies: @@ -12,10 +12,10 @@ spec: ports: - name: http protocol: TCP - port: 11434 + port: 3000 targetPort: http type: ClusterIP ipFamilyPolicy: SingleStack sessionAffinity: None selector: - app: ollama \ No newline at end of file + app: llm-flant5 \ No newline at end of file diff --git a/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml b/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml index 8a37330d..1d58f0ba 100644 --- a/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml +++ b/bootstrap/ic-user-projects/create-projects-and-resources-job.yaml @@ -33,7 +33,7 @@ spec: # Define some variables WORKBENCH_NAME="my-workbench" - WORKBENCH_IMAGE="ic-workbench:2.0.1" + WORKBENCH_IMAGE="ic-workbench:2.1.0" PIPELINE_ENGINE="Tekton" for i in $(seq 1 $user_count); diff --git a/bootstrap/ic-user-projects/create-projects-and-resources.bash b/bootstrap/ic-user-projects/create-projects-and-resources.bash index 575b1455..c8077826 100644 --- a/bootstrap/ic-user-projects/create-projects-and-resources.bash +++ b/bootstrap/ic-user-projects/create-projects-and-resources.bash @@ -10,7 +10,7 @@ DASHBOARD_ROUTE=https://$(oc get route rhods-dashboard -n redhat-ods-application # Define some variables WORKBENCH_NAME="my-workbench" -WORKBENCH_IMAGE="ic-workbench:2.0.1" +WORKBENCH_IMAGE="ic-workbench:2.1.0" PIPELINE_ENGINE="Tekton" for i in $(seq 1 $user_count); diff --git a/bootstrap/workbench-image/Containerfile b/bootstrap/workbench-image/Containerfile index 33a32a56..c8d03325 100644 --- a/bootstrap/workbench-image/Containerfile +++ b/bootstrap/workbench-image/Containerfile @@ -25,85 +25,6 @@ RUN echo "tsflags=nodocs" | tee -a /etc/yum.conf && \ # End of OS Packages # ############################################# -################################################################################################### -# CUDA 12.1 Layer, from https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/12.1.1 # -################################################################################################### - -USER 0 - -ENV NVARCH x86_64 -ENV NVIDIA_REQUIRE_CUDA "cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526" -ENV NV_CUDA_CUDART_VERSION 12.1.105-1 - -COPY cuda.repo-x86_64 /etc/yum.repos.d/cuda.repo - -RUN NVIDIA_GPGKEY_SUM=d0664fbbdb8c32356d45de36c5984617217b2d0bef41b93ccecd326ba3b80c87 && \ - curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel9/${NVARCH}/D42D0685.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \ - echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict - - -ENV CUDA_VERSION 12.1.1 - -# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a -RUN yum upgrade -y && yum install -y \ - cuda-cudart-12-1-${NV_CUDA_CUDART_VERSION} \ - cuda-compat-12-1 \ - && ln -s cuda-12.1 /usr/local/cuda \ - && yum -y clean all --enablerepo='*' && \ - rm -rf /var/cache/dnf && \ - find /var/log -type f -name "*.log" -exec rm -f {} \; - -# nvidia-docker 1.0 -RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \ - echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf - -ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} -ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 - -COPY NGC-DL-CONTAINER-LICENSE / - -# nvidia-container-runtime -ENV NVIDIA_VISIBLE_DEVICES all -ENV NVIDIA_DRIVER_CAPABILITIES compute,utility - -ENV NV_CUDA_LIB_VERSION 12.1.1-1 - -ENV NV_NVTX_VERSION 12.1.105-1 -ENV NV_LIBNPP_VERSION 12.1.0.40-1 -ENV NV_LIBNPP_PACKAGE libnpp-12-1-${NV_LIBNPP_VERSION} -ENV NV_LIBCUBLAS_VERSION 12.1.3.1-1 -ENV NV_LIBNCCL_PACKAGE_NAME libnccl -ENV NV_LIBNCCL_PACKAGE_VERSION 2.17.1-1 -ENV NV_LIBNCCL_VERSION 2.17.1 -ENV NCCL_VERSION 2.17.1 -ENV NV_LIBNCCL_PACKAGE ${NV_LIBNCCL_PACKAGE_NAME}-${NV_LIBNCCL_PACKAGE_VERSION}+cuda12.1 - -RUN yum install -y \ - cuda-libraries-12-1-${NV_CUDA_LIB_VERSION} \ - cuda-nvtx-12-1-${NV_NVTX_VERSION} \ - ${NV_LIBNPP_PACKAGE} \ - libcublas-12-1-${NV_LIBCUBLAS_VERSION} \ - ${NV_LIBNCCL_PACKAGE} \ - && yum -y clean all --enablerepo='*' && \ - rm -rf /var/cache/dnf && \ - find /var/log -type f -name "*.log" -exec rm -f {} \; - -# Set this flag so that libraries can find the location of CUDA -ENV XLA_FLAGS=--xla_gpu_cuda_data_dir=/usr/local/cuda - -# CuDNN -ENV NV_CUDNN_VERSION 8.9.0.131-1 -ENV NV_CUDNN_PACKAGE libcudnn8-${NV_CUDNN_VERSION}.cuda12.1 - -RUN yum install -y \ - ${NV_CUDNN_PACKAGE} \ - && yum -y clean all --enablerepo='*' && \ - rm -rf /var/cache/dnf && \ - find /var/log -type f -name "*.log" -exec rm -f {} \; - -############################################# -# End of CUDA 12.1 Layer # -############################################# - ###################################### # Deploy Python packages and Jupyter # ###################################### diff --git a/bootstrap/workbench-image/NGC-DL-CONTAINER-LICENSE b/bootstrap/workbench-image/NGC-DL-CONTAINER-LICENSE deleted file mode 100644 index 332da0e0..00000000 --- a/bootstrap/workbench-image/NGC-DL-CONTAINER-LICENSE +++ /dev/null @@ -1,285 +0,0 @@ -NVIDIA DEEP LEARNING CONTAINER LICENSE - 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September 14, 2021) diff --git a/bootstrap/workbench-image/Pipfile b/bootstrap/workbench-image/Pipfile index 5fd23a0b..7584f6b5 100644 --- a/bootstrap/workbench-image/Pipfile +++ b/bootstrap/workbench-image/Pipfile @@ -4,7 +4,7 @@ verify_ssl = true name = "pypi" [[source]] -url = "https://download.pytorch.org/whl/cu121/" +url = "https://download.pytorch.org/whl/cpu" verify_ssl = false name = "pytorch" @@ -22,11 +22,13 @@ scikit-learn = "~=1.4.1.post1" scipy = "~=1.12.0" # PyTorch -torch = {version = "==2.2.1+cu121", index = "pytorch"} +torch = {version = "==2.2.2+cpu", index = "pytorch"} # LLM section - Langchain langchain = "==0.1.12" openai = "==1.14.1" +text_generation = "==0.6.1" +sentence_transformers = "==2.6.1" # Image recognition section - YOLO Flask = "~=3.0.2" diff --git a/bootstrap/workbench-image/Pipfile.lock b/bootstrap/workbench-image/Pipfile.lock index 24c402bb..e5cd8541 100644 --- a/bootstrap/workbench-image/Pipfile.lock +++ b/bootstrap/workbench-image/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "a9e1e8bda663b18426aa532eadccb9ebfd5ae91c7f9dc4449263aca669cac0c2" + "sha256": "d97ba2f2a8cab8dc5a1af594e28a1d10fe0531344edd17269e8480cb89f48c8a" }, "pipfile-spec": 6, "requires": { @@ -15,7 +15,7 @@ }, { "name": "pytorch", - "url": "https://download.pytorch.org/whl/cu121/", + "url": "https://download.pytorch.org/whl/cpu", "verify_ssl": false } ] @@ -39,85 +39,85 @@ }, "aiohttp": { "hashes": [ - "sha256:017a21b0df49039c8f46ca0971b3a7fdc1f56741ab1240cb90ca408049766168", - "sha256:039df344b45ae0b34ac885ab5b53940b174530d4dd8a14ed8b0e2155b9dddccb", - "sha256:055ce4f74b82551678291473f66dc9fb9048a50d8324278751926ff0ae7715e5", - "sha256:06a9b2c8837d9a94fae16c6223acc14b4dfdff216ab9b7202e07a9a09541168f", - "sha256:07b837ef0d2f252f96009e9b8435ec1fef68ef8b1461933253d318748ec1acdc", - "sha256:0ed621426d961df79aa3b963ac7af0d40392956ffa9be022024cd16297b30c8c", - "sha256:0fa43c32d1643f518491d9d3a730f85f5bbaedcbd7fbcae27435bb8b7a061b29", - 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"sha256:f1c9ab3152cfb27f83aca072cac93a3a4c4e4ab0261cf0f2d516b9868a4e96f3", + "sha256:f400145fc108833e7c2fc28486a04989ca742146d7a2a2cc48878ebbb40cdbbd" + ], + "markers": "python_version >= '3.8'", + "version": "==0.17.2" }, "tornado": { "hashes": [ @@ -3518,25 +3820,21 @@ "markers": "python_version >= '3.8'", "version": "==5.14.2" }, - "triton": { + "transformers": { "hashes": [ - "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5", - "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df", - "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5", - "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace", - "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0", - "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab" + "sha256:2586e5ff4150f122716fc40f5530e92871befc051848fbe82600969c535b762d", + "sha256:7838034a12cca3168247f9d2d1dba6724c9de3ae0f73a108258c6b8fc5912601" ], - "markers": "python_version < '3.12' and platform_system == 'Linux' and platform_machine == 'x86_64'", - "version": "==2.2.0" + "markers": "python_full_version >= '3.8.0'", + "version": "==4.39.3" }, "typer": { "hashes": [ - "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2", - "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee" + "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914", + "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482" ], - "markers": "python_version >= '3.6'", - "version": "==0.9.0" + "markers": "python_version >= '3.7'", + "version": "==0.12.3" }, "types-python-dateutil": { "hashes": [ @@ -3548,11 +3846,11 @@ }, "typing-extensions": { "hashes": [ - "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475", - "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb" + "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0", + "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a" ], "markers": "python_version >= '3.8'", - "version": "==4.10.0" + "version": "==4.11.0" }, "typing-inspect": { "hashes": [ @@ -3642,12 +3940,12 @@ }, "ultralytics": { "hashes": [ - "sha256:77597402d308ffa3a05900bcf591e0164cb31e141b41ad42ddd3ed5652acfcf2", - "sha256:edab4096865925c278d731a9063164af085b9729bd9135bf3afc3a02c2bbc2a5" + "sha256:0c3c2fba4b6758f037c48ac812b8239276c7d9d2863fd5328c070499aedc1fee", + "sha256:273402e2de47e2b18ff8bde19a07cd47e19f1894dc0faa340cfdb50eb0a69ed7" ], "index": "pypi", "markers": "python_version >= '3.8'", - "version": "==8.1.29" + "version": "==8.1.47" }, "uri-template": { "hashes": [ @@ -3738,11 +4036,11 @@ }, "werkzeug": { "hashes": [ - "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc", - "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10" + "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795", + "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d" ], "markers": "python_version >= '3.8'", - "version": "==3.0.1" + "version": "==3.0.2" }, "whatthepatch": { "hashes": [ @@ -3846,11 +4144,11 @@ }, "xyzservices": { "hashes": [ - "sha256:091229269043bc8258042edbedad4fcb44684b0473ede027b5672ad40dc9fa02", - "sha256:6a4c38d3a9f89d3e77153eff9414b36a8ee0850c9e8b85796fd1b2a85b8dfd68" + "sha256:6a04f11487a6fb77d92a98984cd107fbd9157fd5e65f929add9c3d6e604ee88c", + "sha256:b83e48c5b776c9969fffcfff57b03d02b1b1cd6607a9d9c4e7f568b01ef47f4c" ], "markers": "python_version >= '3.8'", - "version": "==2023.10.1" + "version": "==2024.4.0" }, "y-py": { "hashes": [ @@ -4036,11 +4334,11 @@ }, "yaspin": { "hashes": [ - "sha256:9c04aa69cce9be83e1ea3134a6712e749e6c0c9cd02599023713e6befd7bf369", - "sha256:c4b5d2ca23ae664b87a5cd53401c5107cef12668a71d9ee5ea5536045f364121" + "sha256:35cae59c682506794a218310445e8326cd8fec410879d1c44953b494b1121e77", + "sha256:5c9b6549b84c8aa7f92426272b670e1302941d72f0275caf32d2ea7db3c269f9" ], "markers": "python_version >= '3.9' and python_version < '4.0'", - "version": "==3.0.1" + "version": "==3.0.2" }, "ypy-websocket": { "hashes": [ diff --git a/bootstrap/workbench-image/cuda.repo-x86_64 b/bootstrap/workbench-image/cuda.repo-x86_64 deleted file mode 100644 index eb7fc419..00000000 --- a/bootstrap/workbench-image/cuda.repo-x86_64 +++ /dev/null @@ -1,6 +0,0 @@ -[cuda] -name=cuda -baseurl=https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64 -enabled=1 -gpgcheck=1 -gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA \ No newline at end of file diff --git a/bootstrap/workbench-image/requirements.txt b/bootstrap/workbench-image/requirements.txt index 2c727d64..5786569b 100644 --- a/bootstrap/workbench-image/requirements.txt +++ b/bootstrap/workbench-image/requirements.txt @@ -1,26 +1,26 @@ -i https://pypi.org/simple ---extra-index-url https://download.pytorch.org/whl/cu121/ +--extra-index-url https://download.pytorch.org/whl/cpu absl-py==1.4.0; python_version >= '3.6' aiofiles==22.1.0; python_version >= '3.7' and python_version < '4.0' -aiohttp==3.9.3; python_version >= '3.8' +aiohttp==3.9.4; python_version >= '3.8' aiosignal==1.3.1; python_version >= '3.7' aiosqlite==0.20.0; python_version >= '3.8' anyio==4.3.0; python_version >= '3.8' argon2-cffi==23.1.0; python_version >= '3.7' argon2-cffi-bindings==21.2.0; python_version >= '3.6' arrow==1.3.0; python_version >= '3.8' -astroid==3.0.3; python_full_version >= '3.8.0' +astroid==3.1.0; python_full_version >= '3.8.0' asttokens==2.4.1 attrs==23.2.0; python_version >= '3.7' autopep8==2.0.4; python_version >= '3.6' babel==2.14.0; python_version >= '3.7' beautifulsoup4==4.12.3; python_full_version >= '3.6.0' -black==24.3.0; python_version >= '3.8' +black==24.4.0; python_version >= '3.8' bleach==6.1.0; python_version >= '3.8' blinker==1.7.0; python_version >= '3.8' -bokeh==3.4.0; python_version >= '3.9' -boto3==1.34.65; python_version >= '3.8' -botocore==1.34.65; python_version >= '3.8' +bokeh==3.4.1; python_version >= '3.9' +boto3==1.34.84; python_version >= '3.8' +botocore==1.34.84; python_version >= '3.8' cachetools==5.3.3; python_version >= '3.7' certifi==2024.2.2; python_version >= '3.6' cffi==1.16.0; python_version >= '3.8' @@ -30,7 +30,7 @@ cloudpickle==2.2.1; python_version >= '3.6' colorama==0.4.6; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' coloredlogs==15.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' comm==0.2.2; python_version >= '3.8' -contourpy==1.2.0; python_version >= '3.9' +contourpy==1.2.1; python_version >= '3.9' cryptography==42.0.5 cycler==0.12.1; python_version >= '3.8' dataclasses-json==0.6.4; python_version >= '3.7' and python_version < '4.0' @@ -50,20 +50,20 @@ elyra-server==3.15.0; python_version >= '3.8' entrypoints==0.4; python_version >= '3.6' executing==2.0.1; python_version >= '3.5' fastjsonschema==2.19.1 -filelock==3.13.1; python_version >= '3.8' +filelock==3.13.4; python_version >= '3.8' fire==0.6.0 flake8==7.0.0 -flask==3.0.2; python_version >= '3.8' -flatbuffers==24.3.7 -fonttools==4.50.0; python_version >= '3.8' +flask==3.0.3; python_version >= '3.8' +flatbuffers==24.3.25 +fonttools==4.51.0; python_version >= '3.8' fqdn==1.5.1 frozenlist==1.4.1; python_version >= '3.8' fsspec==2024.3.1; python_version >= '3.8' gitdb==4.0.11; python_version >= '3.7' -gitpython==3.1.42; python_version >= '3.7' -google-api-core==2.17.1; python_version >= '3.7' +gitpython==3.1.43; python_version >= '3.7' +google-api-core==2.18.0; python_version >= '3.7' google-api-python-client==1.12.11; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -google-auth==2.28.2; python_version >= '3.7' +google-auth==2.29.0; python_version >= '3.7' google-auth-httplib2==0.2.0 google-cloud-core==2.4.1; python_version >= '3.7' google-cloud-storage==2.16.0; python_version >= '3.7' @@ -73,14 +73,15 @@ googleapis-common-protos==1.63.0; python_version >= '3.7' greenlet==3.0.3; platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))) gunicorn==21.2.0; python_version >= '3.5' h11==0.14.0; python_version >= '3.7' -httpcore==1.0.4; python_version >= '3.8' +httpcore==1.0.5; python_version >= '3.8' httplib2==0.22.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' httpx==0.27.0; python_version >= '3.8' +huggingface-hub==0.22.2; python_full_version >= '3.8.0' humanfriendly==10.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -idna==3.6; python_version >= '3.5' -importlib-metadata==7.0.2; python_version >= '3.8' -ipykernel==6.29.3; python_version >= '3.8' -ipython==8.22.2; python_version >= '3.10' +idna==3.7; python_version >= '3.5' +importlib-metadata==7.1.0; python_version >= '3.8' +ipykernel==6.29.4; python_version >= '3.8' +ipython==8.23.0; python_version >= '3.10' ipython-genutils==0.2.0 ipywidgets==8.1.2; python_version >= '3.7' isoduration==20.11.0 @@ -89,8 +90,8 @@ itsdangerous==2.1.2; python_version >= '3.7' jedi==0.19.1; python_version >= '3.6' jinja2==3.1.3; python_version >= '3.7' jmespath==1.0.1; python_version >= '3.7' -joblib==1.3.2; python_version >= '3.7' -json5==0.9.24; python_version >= '3.8' +joblib==1.4.0; python_version >= '3.8' +json5==0.9.25; python_version >= '3.8' jsonpatch==1.33; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' jsonschema[format-nongpl]==4.21.1; python_version >= '3.8' @@ -99,10 +100,10 @@ jupyter-bokeh==3.0.7; python_version >= '3.8' jupyter-client==7.4.9; python_version >= '3.7' jupyter-core==5.7.2; python_version >= '3.8' jupyter-events==0.10.0; python_version >= '3.8' -jupyter-lsp==2.2.4; python_version >= '3.8' +jupyter-lsp==2.2.5; python_version >= '3.8' jupyter-packaging==0.12.3; python_version >= '3.7' jupyter-resource-usage==1.0.2; python_version >= '3.8' -jupyter-server==2.13.0; python_version >= '3.8' +jupyter-server==2.14.0; python_version >= '3.8' jupyter-server-fileid==0.9.1; python_version >= '3.7' jupyter-server-mathjax==0.2.6; python_version >= '3.7' jupyter-server-proxy==4.1.2; python_version >= '3.8' @@ -113,7 +114,7 @@ jupyterlab==3.6.7; python_version >= '3.7' jupyterlab-git==0.44.0; python_version >= '3.7' jupyterlab-lsp==4.3.0; python_version >= '3.8' jupyterlab-pygments==0.3.0; python_version >= '3.8' -jupyterlab-server==2.25.4; python_version >= '3.8' +jupyterlab-server==2.26.0; python_version >= '3.8' jupyterlab-widgets==3.0.10; python_version >= '3.7' kfp==1.8.22; python_full_version >= '3.6.1' kfp-pipeline-spec==0.1.16; python_full_version >= '3.7.0' @@ -122,15 +123,17 @@ kfp-tekton==1.5.10; python_full_version >= '3.6.1' kiwisolver==1.4.5; python_version >= '3.7' kubernetes==25.3.0; python_version >= '3.6' langchain==0.1.12; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-community==0.0.28; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-core==0.1.32; python_version < '4.0' and python_full_version >= '3.8.1' +langchain-community==0.0.32; python_version < '4.0' and python_full_version >= '3.8.1' +langchain-core==0.1.42; python_version < '4.0' and python_full_version >= '3.8.1' langchain-text-splitters==0.0.1; python_version < '4.0' and python_full_version >= '3.8.1' -langsmith==0.1.29; python_version < '4.0' and python_full_version >= '3.8.1' +langsmith==0.1.47; python_version < '4.0' and python_full_version >= '3.8.1' +markdown-it-py==3.0.0; python_version >= '3.8' markupsafe==2.1.5; python_version >= '3.7' marshmallow==3.21.1; python_version >= '3.8' -matplotlib==3.8.3; python_version >= '3.9' -matplotlib-inline==0.1.6; python_version >= '3.5' +matplotlib==3.8.4; python_version >= '3.9' +matplotlib-inline==0.1.7; python_version >= '3.8' mccabe==0.7.0 +mdurl==0.1.2; python_version >= '3.7' minio==7.2.5 mistune==3.0.2; python_version >= '3.7' mpmath==1.3.0 @@ -138,121 +141,117 @@ multidict==6.0.5; python_version >= '3.7' mypy-extensions==1.0.0; python_version >= '3.5' nbclassic==1.0.0; python_version >= '3.7' nbclient==0.10.0; python_full_version >= '3.8.0' -nbconvert==7.16.2; python_version >= '3.8' +nbconvert==7.16.3; python_version >= '3.8' nbdime==3.2.1; python_version >= '3.6' -nbformat==5.10.3; python_version >= '3.8' +nbformat==5.10.4; python_version >= '3.8' nest-asyncio==1.6.0; python_version >= '3.5' -networkx==3.2.1; python_version >= '3.9' +networkx==3.3; python_version >= '3.10' notebook==6.5.6; python_version >= '3.7' notebook-shim==0.2.4; python_version >= '3.7' numpy==1.26.4; python_version >= '3.9' -nvidia-cublas-cu12==12.1.3.1; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cuda-cupti-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cuda-nvrtc-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cuda-runtime-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cudnn-cu12==8.9.2.26; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cufft-cu12==11.0.2.54; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-curand-cu12==10.3.2.106; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cusolver-cu12==11.4.5.107; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-cusparse-cu12==12.1.0.106; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-nccl-cu12==2.19.3; platform_system == 'Linux' and platform_machine == 'x86_64' -nvidia-nvjitlink-cu12==12.4.99; python_version >= '3' -nvidia-nvtx-cu12==12.1.105; platform_system == 'Linux' and platform_machine == 'x86_64' oauthlib==3.2.2; python_version >= '3.6' onnx==1.15.0; python_version >= '3.8' -onnxruntime==1.17.1 +onnxruntime==1.17.3 openai==1.14.1; python_full_version >= '3.7.1' opencv-python-headless==4.9.0.80; python_version >= '3.6' -orjson==3.9.15; python_version >= '3.8' +orjson==3.10.0; python_version >= '3.8' overrides==7.7.0; python_version >= '3.6' packaging==23.2; python_version >= '3.7' -pandas==2.2.1; python_version >= '3.9' +pandas==2.2.2; python_version >= '3.9' pandocfilters==1.5.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' papermill==2.5.0; python_version >= '3.8' -parso==0.8.3; python_version >= '3.6' +parso==0.8.4; python_version >= '3.6' pathspec==0.12.1; python_version >= '3.8' pexpect==4.9.0 -pillow==10.2.0; python_version >= '3.8' +pillow==10.3.0; python_version >= '3.8' pip==24.0; python_version >= '3.7' platformdirs==4.2.0; python_version >= '3.8' plotly==5.20.0; python_version >= '3.8' pluggy==1.4.0; python_version >= '3.8' prometheus-client==0.20.0; python_version >= '3.8' prompt-toolkit==3.0.43; python_full_version >= '3.7.0' +proto-plus==1.23.0; python_version >= '3.6' protobuf==3.20.3; python_version >= '3.7' psutil==5.9.8; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' ptyprocess==0.7.0 pure-eval==0.2.2 py-cpuinfo==9.0.0 -pyasn1==0.5.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -pyasn1-modules==0.3.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' +pyasn1==0.6.0; python_version >= '3.8' +pyasn1-modules==0.4.0; python_version >= '3.8' pycodestyle==2.11.1; python_version >= '3.8' -pycparser==2.21 +pycparser==2.22; python_version >= '3.8' pycryptodome==3.20.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -pydantic==1.10.14; python_version >= '3.7' +pydantic==1.10.15; python_version >= '3.7' pydocstyle==6.3.0 pyflakes==3.2.0 -pygithub==2.2.0; python_version >= '3.7' +pygithub==2.3.0; python_version >= '3.7' pygments==2.17.2; python_version >= '3.7' pyjwt[crypto]==2.8.0; python_version >= '3.7' -pylint==3.0.4 +pylint==3.1.0 pynacl==1.5.0; python_version >= '3.6' pyparsing==3.1.2; python_full_version >= '3.6.8' python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' python-json-logger==2.0.7; python_version >= '3.6' python-lsp-jsonrpc==1.1.2; python_version >= '3.8' -python-lsp-server[all]==1.10.1; python_version >= '3.8' +python-lsp-server[all]==1.11.0; python_version >= '3.8' pytoolconfig[global]==1.3.1; python_version >= '3.8' pytz==2024.1 pyyaml==6.0.1; python_version >= '3.6' pyzmq==24.0.1; python_version >= '3.6' referencing==0.34.0; python_version >= '3.8' +regex==2023.12.25; python_version >= '3.7' requests==2.31.0; python_version >= '3.7' -requests-oauthlib==1.4.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' +requests-oauthlib==2.0.0; python_version >= '3.4' requests-toolbelt==0.10.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' rfc3339-validator==0.1.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' rfc3986-validator==0.1.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -rope==1.12.0 +rich==13.7.1; python_full_version >= '3.7.0' +rope==1.13.0 rpds-py==0.18.0; python_version >= '3.8' rsa==4.9; python_version >= '3.6' and python_version < '4' s3transfer==0.10.1; python_version >= '3.8' -scikit-learn==1.4.1.post1; python_version >= '3.9' +safetensors==0.4.3; python_version >= '3.7' +scikit-learn==1.4.2; python_version >= '3.9' scipy==1.12.0; python_version >= '3.9' seaborn==0.13.2; python_version >= '3.8' -send2trash==1.8.2; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' +send2trash==1.8.3; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' +sentence-transformers==2.6.1; python_full_version >= '3.8.0' setuptools==69.2.0; python_version >= '3.8' +shellingham==1.5.4; python_version >= '3.7' simpervisor==1.0.0; python_version >= '3.8' six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' smmap==5.0.1; python_version >= '3.7' sniffio==1.3.1; python_version >= '3.7' snowballstemmer==2.2.0 soupsieve==2.5; python_version >= '3.8' -sqlalchemy==2.0.28; python_version >= '3.7' +sqlalchemy==2.0.29; python_version >= '3.7' stack-data==0.6.3 strip-hints==0.1.10 sympy==1.12; python_version >= '3.8' tabulate==0.9.0; python_version >= '3.7' tenacity==8.2.3; python_version >= '3.7' -termcolor==2.4.0; python_version >= '3.8' +termcolor==2.3.0; python_version >= '3.7' terminado==0.18.1; python_version >= '3.8' +text-generation==0.6.1; python_version >= '3.7' and python_version < '4.0' thop==0.1.1.post2209072238 -threadpoolctl==3.3.0; python_version >= '3.8' +threadpoolctl==3.4.0; python_version >= '3.8' tinycss2==1.2.1; python_version >= '3.7' +tokenizers==0.15.2; python_version >= '3.7' tomli==2.0.1; python_version >= '3.7' tomlkit==0.12.4; python_version >= '3.7' -torch==2.2.1+cu121 -torchvision==0.17.1; python_version >= '3.8' +torch==2.2.2+cpu +torchvision==0.17.2; python_version >= '3.8' tornado==6.4; python_version >= '3.8' tqdm==4.66.2; python_version >= '3.7' traitlets==5.14.2; python_version >= '3.8' -triton==2.2.0; python_version < '3.12' and platform_system == 'Linux' and platform_machine == 'x86_64' -typer==0.9.0; python_version >= '3.6' +transformers==4.39.3; python_full_version >= '3.8.0' +typer==0.12.3; python_version >= '3.7' types-python-dateutil==2.9.0.20240316; python_version >= '3.8' -typing-extensions==4.10.0; python_version >= '3.8' +typing-extensions==4.11.0; python_version >= '3.8' typing-inspect==0.9.0 tzdata==2024.1; python_version >= '2' ujson==5.9.0; python_version >= '3.8' -ultralytics==8.1.29; python_version >= '3.8' +ultralytics==8.1.47; python_version >= '3.8' uri-template==1.3.0 uritemplate==3.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' urllib3==1.26.18; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' @@ -261,15 +260,15 @@ wcwidth==0.2.13 webcolors==1.13 webencodings==0.5.1 websocket-client==1.7.0; python_version >= '3.8' -werkzeug==3.0.1; python_version >= '3.8' +werkzeug==3.0.2; python_version >= '3.8' whatthepatch==1.0.5 wheel==0.43.0; python_version >= '3.8' widgetsnbextension==4.0.10; python_version >= '3.7' wrapt==1.16.0; python_version >= '3.6' -xyzservices==2023.10.1; python_version >= '3.8' +xyzservices==2024.4.0; python_version >= '3.8' y-py==0.6.2 yapf==0.40.2 yarl==1.9.4; python_version >= '3.7' -yaspin==3.0.1; python_version >= '3.9' and python_version < '4.0' +yaspin==3.0.2; python_version >= '3.9' and python_version < '4.0' ypy-websocket==0.8.4; python_version >= '3.7' zipp==3.18.1; python_version >= '3.8' diff --git a/lab-materials/03/03-04-comparing-model-servers.ipynb b/lab-materials/03/03-04-comparing-model-servers.ipynb index 1cd3ead8..416aad88 100644 --- a/lab-materials/03/03-04-comparing-model-servers.ipynb +++ b/lab-materials/03/03-04-comparing-model-servers.ipynb @@ -5,11 +5,11 @@ "id": "4ad2cc4e-31ec-4648-b0fe-6632f2bdbc36", "metadata": {}, "source": [ - "## Comparing model servers for our different tasks\n", + "## Comparing models for our different tasks\n", "\n", - "In this Notebook, we are going to use the same model, Mistral-7B, but served with the Ollama runtime, only using a CPU.\n", + "In this Notebook, we are going to use another model, Flan-T5-large in parallel to Mistral-7B and see how it behaves.\n", "\n", - "In order to run on CPU the model is quantized, so reduced in size, but is it up to the task?" + "Flan-T5-Large is indeed smaller, will run without GPU and use only 4 GB of RAM, but is it up to the task?" ] }, { @@ -38,7 +38,7 @@ "from os import listdir\n", "from os.path import isfile, join\n", "from langchain.chains import LLMChain\n", - "from langchain_community.llms import VLLMOpenAI, Ollama\n", + "from langchain_community.llms import VLLMOpenAI, HuggingFaceTextGenInference\n", "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n", "from langchain.prompts import PromptTemplate" ] @@ -88,17 +88,19 @@ }, "outputs": [], "source": [ - "# Ollama Inference Server URL\n", - "inference_server_url = \"http://ollama.ic-shared-llm.svc.cluster.local:11434\"\n", + "# Flan-T5-Small LLM Inference Server URL\n", + "inference_server_url_flan_t5 = \"http://llm-flant5.ic-shared-llm.svc.cluster.local:3000/\"\n", "\n", "# LLM definition\n", - "llm_ollama = Ollama(\n", - " base_url=inference_server_url,\n", - " model=\"mistral\",\n", - " top_p=0.92,\n", + "llm_flant5 = HuggingFaceTextGenInference(\n", + " inference_server_url=inference_server_url_flan_t5,\n", + " max_new_tokens=96,\n", + " top_k=10,\n", + " top_p=0.95,\n", + " typical_p=0.95,\n", " temperature=0.01,\n", - " num_predict=512,\n", - " repeat_penalty=1.03,\n", + " repetition_penalty=1.03,\n", + " streaming=True,\n", " callbacks=[StreamingStdOutCallbackHandler()]\n", ")" ] @@ -159,7 +161,7 @@ " prompt=PROMPT,\n", " verbose=False\n", " )\n", - "conversation_ollama = LLMChain(llm=llm_ollama,\n", + "conversation_flant5 = LLMChain(llm=llm_flant5,\n", " prompt=PROMPT,\n", " verbose=False\n", " )" @@ -199,7 +201,7 @@ "print(\"Original content:\")\n", "print(\"-----------------\")\n", "print(f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\\n\\n\")\n", - "print('Analysis with Mistral-7B served with vLLM using a GPU:')\n", + "print('Analysis with Mistral-7B:')\n", "print(\"--------\")\n", "text_input = f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\"\n", "sentiment_query = \"What is the sentiment of the person sending this claim?\"\n", @@ -212,18 +214,18 @@ "print(\"\\n- Time: \")\n", "conversation.predict(text=text_input, query=time_query);\n", "print(\"\\n\\n ----====----\\n\")\n", - "print('Analysis with Mistral-7B served with Ollama using a CPU:')\n", + "print('Analysis with Flan-T5-Large:')\n", "print(\"--------\")\n", "text_input = f\"Subject: {claims[filename]['subject']}\\nContent:\\n{claims[filename]['content']}\"\n", "sentiment_query = \"What is the sentiment of the person sending this claim?\"\n", "location_query = \"Where does the event the claim is related to happen?\"\n", "time_query = \"When does the event the claim is related to happen? If possible, specify the date and the time.\"\n", "print(f\"- Sentiment: \")\n", - "conversation_ollama.predict(text=text_input, query=sentiment_query);\n", + "conversation_flant5.predict(text=text_input, query=sentiment_query);\n", "print(\"\\n- Location: \")\n", - "conversation_ollama.predict(text=text_input, query=location_query);\n", + "conversation_flant5.predict(text=text_input, query=location_query);\n", "print(\"\\n- Time: \")\n", - "conversation_ollama.predict(text=text_input, query=time_query);\n", + "conversation_flant5.predict(text=text_input, query=time_query);\n", "print(\"\\n\\n ----====----\\n\")" ] }, @@ -232,7 +234,7 @@ "id": "6e28a5b0-6c93-42ba-84dd-42e17746d11d", "metadata": {}, "source": [ - "As you can see, Flan-T5-Small is much faster. After all, it's an 80 Million parameters model only. It seems to work to some extent, but the results are nowhere near the ones from Mistral-7B, which is a 7 Billion parameter.\n", + "As you can see, Flan-T5-Large is faster as it's a 770 Million parameters model only. It seems to work to some extent, but the results are nowhere near the ones from Mistral-7B, which is a 7 Billion parameter.\n", "\n", "The art of working with LLM is to find the right balance between the performance and accuracy you require, and the resources it takes along with the involved costs.\n", "\n",