Remove TensorFlow support from INC

.azure-pipelines/scripts/fwk_version.sh

@@ -1,7 +1,6 @@
 #!/bin/bash
 
 echo "export FWs version..."
-export tensorflow_version='2.15.0-official'
 export pytorch_version='2.5.1'
 export torchvision_version='0.20.1'
 export ipex_version='2.5.0+cpu'

.azure-pipelines/scripts/install_nc.sh

@@ -23,11 +23,6 @@ if [[ $1 = *"3x_pt"* ]]; then
     fi
     python setup.py pt bdist_wheel
     uv pip install --no-deps dist/neural_compressor*.whl --force-reinstall
-elif [[ $1 = *"3x_tf"* ]]; then
-	uv pip install tensorflow==2.19.0
-    uv pip install --no-cache-dir -r requirements_tf.txt
-    python setup.py tf bdist_wheel
-    uv pip install dist/neural_compressor*.whl --force-reinstall
 elif [[ $1 = *"3x_jax"* ]]; then
     uv pip install --no-cache-dir -r requirements_jax.txt
     python setup.py jax bdist_wheel

.azure-pipelines/scripts/models/collect_log_model.py

@@ -21,7 +21,6 @@
     + args.build_id
     + "&view=artifacts&pathAsName=false&type=publishedArtifacts"
 )
-OOB_MODEL_LIST = ["darknet19", "densenet-121", "resnet-101"]
 
 
 def get_model_tuning_dict_results():
@@ -141,10 +140,6 @@ def collect_log():
                 parse_tuning_line(line, tmp)
         print(tmp)
 
-        # oob_model no need acc
-        if (args.model in OOB_MODEL_LIST) and args.framework == "tensorflow":
-            tmp["fp32_acc"], tmp["int8_acc"] = "unknown", "unknown"
-
         # set for 3x woq models
         if args.inc_new_api.split("_")[0] == "3x":
             tmp["fp32_acc"], tmp["tuning_trials"], tmp["strategy"] = "unknown", "", ""

.azure-pipelines/scripts/models/generate_report.sh

@@ -530,7 +530,7 @@ cat > ${output_dir}/report.html << eof
 <html lang="en">
 <head>
     <meta http-equiv="content-type" content="text/html; charset=ISO-8859-1">
-    <title>Daily Tests - TensorFlow - Jenkins</title>
+    <title>Daily Tests - Neural Compressor - Jenkins</title>
     <style type="text/css">
         body
         {

.azure-pipelines/scripts/models/run_model_trigger_common.sh

@@ -80,8 +80,6 @@ if [ "${mode}" == "env_setup" ]; then
 elif [ "${mode}" == "tuning" ]; then
     if [ "${framework}" == "onnxrt" ]; then
         output_model=${log_dir}/${model}/${framework}-${model}-tune.onnx
-    elif [ "${framework}" == "tensorflow" ]; then
-        output_model=${log_dir}/${model}/${framework}-${model}-tune.pb
     fi
     [[ ${output_model} ]] && tuning_cmd="${tuning_cmd} --output_model=${output_model}"
 
@@ -138,8 +136,6 @@ elif [ "${mode}" == "int8_benchmark" ]; then
     $BOLD_YELLOW && echo "====== run benchmark int8 =======" && $RESET
     if [[ "${framework}" == "onnxrt" ]]; then
         model_name="${log_dir}/${model}/${framework}-${model}-tune.onnx"
-    elif [[ "${framework}" == "tensorflow" ]]; then
-        model_name="${log_dir}/${model}/${framework}-${model}-tune.pb"
     elif [[ "${framework}" == "pytorch" ]]; then
         model_name=${input_model}
         benchmark_cmd="${benchmark_cmd} --int8=true"

.azure-pipelines/scripts/models/update_yaml_config.py

@@ -100,7 +100,6 @@ def update_yaml_config_tuning(
     strategy_token=None,
     sampling_size=None,
     dtype=None,
-    tf_new_api=None,
 ):
     with open(yaml_file) as f:
         yaml_config = yaml.round_trip_load(f, preserve_quotes=True)
@@ -216,15 +215,6 @@ def update_yaml_config_tuning(
         except Exception as e:
             print(f"[ WARNING ] {e}")
 
-    if tf_new_api == "true":
-        try:
-            model = yaml_config.get("model", {})
-            prev_framework = model.get("framework", None)
-            model.update({"framework": "inteltensorflow"})
-            print(f"Changed framework from {prev_framework} to inteltensorflow")
-        except Exception as e:
-            print(f"[ WARNING ] {e}")
-
     print("====== update_yaml_config_tuning ========")
 
     yaml_content = yaml.round_trip_dump(yaml_config)

.azure-pipelines/template/model-template.yml

@@ -4,7 +4,7 @@ parameters:
     default: "resnet50v1.5"
   - name: framework
     type: string
-    default: "tensorflow"
+    default: "pytorch"
   - name: APIVersion
     type: string
     default: ""

README.md

@@ -2,7 +2,7 @@
 
 Intel® Neural Compressor
 ===========================
-<h3> An open-source Python library supporting popular model compression techniques on mainstream deep learning frameworks (PyTorch, TensorFlow, and JAX)</h3>
+<h3> An open-source Python library supporting popular model compression techniques on mainstream deep learning frameworks (PyTorch and JAX)</h3>
 
 [![python](https://img.shields.io/badge/python-3.11%2B-blue)](https://github.com/intel/neural-compressor)
 [![version](https://img.shields.io/badge/release-3.10-green)](https://github.com/intel/neural-compressor/releases)
@@ -47,8 +47,6 @@ Intel Neural Compressor supports PyTorch with CPU, GPU and HPU. Please install t
 ```
 # Framework extension API + PyTorch dependency
 pip install neural-compressor-pt
-# Framework extension API + TensorFlow dependency
-pip install neural-compressor-tf
 # Framework extension API + JAX dependency
 pip install neural-compressor-jax
 ```    
@@ -144,18 +142,6 @@ model = load(
         <td colspan="4" align="center"><a href="./docs/source/PT_NVFP4Quant.md">NVFP4 Quantization</a></td>
     </tr>
   </tbody>
-  <thead>
-      <tr>
-        <th colspan="8">Tensorflow Extension APIs</th>
-      </tr>
-  </thead>
-  <tbody>
-      <tr>
-          <td colspan="3" align="center"><a href="./docs/source/TensorFlow.md">Overview</a></td>
-          <td colspan="3" align="center"><a href="./docs/source/TF_Quant.md">Static Quantization</a></td>
-          <td colspan="2" align="center"><a href="./docs/source/TF_SQ.md">Smooth Quantization</a></td>
-      </tr>
-  </tbody>
   <thead>
       <tr>
         <th colspan="8">Transformers-like APIs</th>