Update CI test scope and example readme

.azure-pipelines/ut-basic.yml

@@ -130,165 +130,3 @@ stages:
               utScriptFileName: "run_basic_others"
               uploadPath: $(UPLOAD_PATH)
               utArtifact: "ut_others"
-
-  - stage: Adaptor_base
-    displayName: Unit Test FWKs adaptor baseline
-    dependsOn: []
-    jobs:
-      - job:
-        displayName: Test FWKs adaptor baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_adaptor"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_adaptor"
-              repo: $(REPO)
-
-  - stage: API_base
-    displayName: Unit Test User facing API baseline
-    dependsOn: []
-    jobs:
-      - job:
-        displayName: Test User facing API baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_api"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_api"
-              repo: $(REPO)
-
-  - stage: Pruning_base
-    displayName: Unit Test Pruning baseline
-    dependsOn: []
-    jobs:
-      - job:
-        displayName: Test PyTorch Pruning baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_pt_pruning"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_pt-pruning"
-              repo: $(REPO)
-      - job:
-        displayName: Test TensorFlow Pruning baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_tf_pruning"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_tf-pruning"
-              repo: $(REPO)
-
-  - stage: TFNewAPI_base
-    displayName: Unit Test TF newAPI baseline
-    dependsOn: []
-    jobs:
-      - job:
-        displayName: Test TF newAPI baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_adaptor_tfnewapi"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_tfnewapi"
-              repo: $(REPO)
-
-  - stage: ITEX_base
-    displayName: Unit Test ITEX baseline
-    dependsOn: []
-    jobs:
-      - job:
-        displayName: Test ITEX baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_itex"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_itex"
-              repo: $(REPO)
-
-  - stage: Others_base
-    displayName: Unit Test other cases baseline
-    dependsOn: []
-    jobs:
-      - job:
-        displayName: Test other cases baseline
-        continueOnError: true
-        steps:
-          - template: template/ut-template.yml
-            parameters:
-              dockerConfigName: "gitCloneDockerConfig"
-              utScriptFileName: "run_basic_others"
-              uploadPath: $(UPLOAD_PATH)
-              utArtifact: "ut-base_others"
-              repo: $(REPO)
-
-  - stage: Coverage
-    displayName: "Coverage Compare"
-    pool:
-      vmImage: "ubuntu-latest"
-    dependsOn: [Adaptor, API, Pruning, TFNewAPI, ITEX, Others, Adaptor_base, API_base, Pruning_base, TFNewAPI_base, ITEX_base, Others_base]
-    jobs:
-      - job: CollectDatafiles
-        steps:
-          - script: |
-              if [[ ! $(docker images | grep -i ${IMAGE_NAME}:${IMAGE_TAG}) ]]; then
-                docker build -f ${BUILD_SOURCESDIRECTORY}/.azure-pipelines/docker/Dockerfile.devel -t ${IMAGE_NAME}:${IMAGE_TAG} .
-              fi
-              docker images | grep -i ${IMAGE_NAME}
-              if [[ $? -ne 0 ]]; then
-                echo "NO Such Repo"
-                exit 1
-              fi
-            displayName: "Build develop docker image"
-
-          - task: DownloadPipelineArtifact@2
-            inputs:
-              artifact:
-              patterns: '*_coverage/.coverage.*'
-              path: $(DOWNLOAD_PATH)
-
-          - script: |
-              echo "--- create container ---"
-              docker run -d -it --name="collectLogs" -v ${BUILD_SOURCESDIRECTORY}:/neural-compressor  ${IMAGE_NAME}:${IMAGE_TAG} /bin/bash
-              echo "--- docker ps ---"
-              docker ps
-              echo "--- collect logs ---"
-              docker exec collectLogs /bin/bash  +x -c "cd /neural-compressor/.azure-pipelines/scripts \
-              && bash install_nc.sh \
-              && bash ut/collect_log.sh"
-            displayName: "Collect UT Coverage"
-
-          - task: PublishCodeCoverageResults@2
-            inputs:
-              summaryFileLocation: $(Build.SourcesDirectory)/log_dir/coverage_PR/coverage.xml
-
-          - task: PublishPipelineArtifact@1
-            condition: succeededOrFailed()
-            inputs:
-              targetPath: $(UPLOAD_PATH)
-              artifact: $(ARTIFACT_NAME)
-              publishLocation: "pipeline"
-
-          - task: Bash@3
-            condition: always()
-            inputs:
-              targetType: "inline"
-              script: |
-                docker exec collectLogs bash -c "rm -fr /neural-compressor/* && rm -fr /neural-compressor/.* || true"
-            displayName: "Docker clean up"

examples/README.md

@@ -15,7 +15,22 @@ Intel® Neural Compressor validated examples with multiple compression technique
   </tr>
 </thead>
 <tbody>
-
+<tr>
+    <td>Llama-4-Scout-17B-16E-Instruct</td>
+    <td>Multimodal Modeling</td>
+    <td>Quantization (MXFP4)</td>
+    <td><a href="./pytorch/multimodal-modeling/quantization/auto_round/llama4">link</a></td>
+</tr>
+<tr>
+    <td rowspan="2">Llama-3.3-70B-Instruct</td>
+    <td rowspan="2">Natural Language Processing</td>
+    <td>Mixed Precision (MXFP4+MXFP8)</td>
+    <td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/mix-precision#mix-precision-quantization-mxfp4--mxfp8">link</a></td>
+</tr>
+<tr>
+    <td>Quantization (MXFP4/MXFP8/NVFP4)</td>
+    <td><a href="./pytorch/nlp/huggingface_models/language-modeling/quantization/mix-precision#mxfp4--mxfp8">link</a></td>
+</tr>
 <tr>
     <td rowspan="2">gpt_j</td>
     <td rowspan="2">Natural Language Processing</td>