diff --git a/.github/actions/keras_application_test/action.yml b/.github/actions/keras_application_test/action.yml
index e22d0ad8e..668e9efff 100644
--- a/.github/actions/keras_application_test/action.yml
+++ b/.github/actions/keras_application_test/action.yml
@@ -24,18 +24,14 @@ runs:
           python -m pip install --upgrade pip
           pip install onnxconverter-common
           pip install onnx==${{ inputs.onnx_version }}
-          pip uninstall -y protobuf
-          pip install "protobuf~=3.20"
-          pip install h5py==3.7.0
+          pip install h5py
           pip install parameterized
           pip install timeout-decorator
           pip install coloredlogs flatbuffers
-          pip install tensorflow==${{ inputs.tf_version }}
           pip install onnxruntime==${{ inputs.ort_version }}
           pip install pillow
           pip install opencv-python
           pip install tqdm
-          pip install keras-segmentation==0.2.0
           git clone https://github.com/matterport/Mask_RCNN
           cd Mask_RCNN
           pip install -r requirements.txt
@@ -43,22 +39,28 @@ runs:
           cd ..
           pip install matplotlib
           git clone https://github.com/qqwweee/keras-yolo3
-          pip install keras-resnet
           pip install git+https://www.github.com/keras-team/keras-contrib.git
           pip install keras-tcn==2.8.3
           pip install git+https://github.com/qubvel/efficientnet
-          pip install keras-self-attention
           pip install pytest pytest-cov pytest-runner
+          pip uninstall -y protobuf h5py
 
           if [[ ${{ inputs.tf_version }} == 1.* ]]; then 
-              pip install keras==2.3.1
-              pip install transformers==4.2.0
-              pip uninstall -y h5py
-              pip install h5py==2.9.0
-              pip install numpy==1.19.0
+              echo "-- install-1 TF1-KERAS ${{ inputs.tf_version }}"
+              pip install numpy==1.19.0 tensorflow==${{ inputs.tf_version }} protobuf h5py==2.9.0 transformers==4.2.0 keras h5py
+              # deprecated packages
+              pip install keras-self-attention
+              pip install keras-segmentation==0.2.0          
+              pip install keras-resnet
           else 
               pip install transformers
-              pip install "numpy<2"
+              if [[ "${{ inputs.tf_version }}" != "2.13.0" && "${{ inputs.tf_version }}" != "2.9.0" ]]; then
+                echo "-- install-1 TF-KERAS ${{ inputs.tf_version }}"
+                pip install tf_keras==${{ inputs.tf_version }} tensorflow==${{ inputs.tf_version }} protobuf
+              else
+                echo "-- install-1 TF ${{ inputs.tf_version }}"
+                pip install protobuf tensorflow==${{ inputs.tf_version }}
+              fi
           fi
 
           pip install -e .
@@ -71,5 +73,7 @@ runs:
       run: |
           python -c "import onnxruntime"
           pytest tests/keras2onnx_unit_tests --doctest-modules --junitxml=junit/test-results.xml
+
+          export TF_USE_LEGACY_KERAS=True
           cd tests/keras2onnx_applications/nightly_build
           python run_all_v2.py
diff --git a/.github/actions/keras_unit_test/action.yml b/.github/actions/keras_unit_test/action.yml
index 4c78945f1..d5d5171bd 100644
--- a/.github/actions/keras_unit_test/action.yml
+++ b/.github/actions/keras_unit_test/action.yml
@@ -24,19 +24,23 @@ runs:
           python -m pip install --upgrade pip
           pip install onnxconverter-common
           pip install onnx==${{ inputs.onnx_version }}
-          pip install h5py==3.7.0
           pip install parameterized
           pip install timeout-decorator
           pip install coloredlogs flatbuffers
-          pip install tensorflow==${{ inputs.tf_version }}
           pip install pytest pytest-cov pytest-runner
           pip install onnxruntime==${{ inputs.ort_version }}
-          pip uninstall -y protobuf
-          pip install "protobuf~=3.20"
+          pip uninstall -y protobuf h5py tensorflow
           if [[ ${{ inputs.tf_version }} == 1.* ]]; then 
-              pip install numpy==1.19.0
+              echo "-- install-2 TF1-KERAS ${{ inputs.tf_version }}"
+              pip install numpy==1.19.0 tensorflow==${{ inputs.tf_version }} protobuf keras h5py
           else 
-              pip install "numpy<2"
+              if [[ "${{ inputs.tf_version }}" != "2.13.0" && "${{ inputs.tf_version }}" != "2.9.0" ]]; then 
+                echo "-- install-2 TF-KERAS ${{ inputs.tf_version }}"
+                pip install tf_keras==${{ inputs.tf_version }} tensorflow==${{ inputs.tf_version }} h5py protobuf
+              else
+                echo "-- install-2 TF ${{ inputs.tf_version }}"
+                pip install protobuf tensorflow==${{ inputs.tf_version }} h5py
+              fi
           fi
 
           pip install -e .
@@ -48,6 +52,7 @@ runs:
       shell: bash
       if: runner.os == 'Linux'
       run: |
+          export TF_USE_LEGACY_KERAS=True
           python -c "import onnxruntime"
           python -c "import onnxconverter_common"
           pytest tests/keras2onnx_unit_tests --doctest-modules --junitxml=junit/test-results.xml
diff --git a/.github/actions/unit_test/action.yml b/.github/actions/unit_test/action.yml
index 00cb28386..ebcad6c80 100644
--- a/.github/actions/unit_test/action.yml
+++ b/.github/actions/unit_test/action.yml
@@ -46,6 +46,7 @@ runs:
         export TF2ONNX_SKIP_TFLITE_TESTS=${{ inputs.skip_tflite }}
         export TF2ONNX_SKIP_TFJS_TESTS=True
         export TF2ONNX_SKIP_TF_TESTS=False
+        export TF_USE_LEGACY_KERAS=True
         python -m pytest --cov=tf2onnx --cov-report=term --disable-pytest-warnings -r s tests --cov-append --junitxml=junit/test-results.xml
         ls
 
@@ -58,5 +59,6 @@ runs:
         set TF2ONNX_SKIP_TFLITE_TESTS=${{ inputs.skip_tflite }}
         set TF2ONNX_SKIP_TFJS_TESTS=True
         set TF2ONNX_SKIP_TF_TESTS=False
+        set TF_USE_LEGACY_KERAS=True
         python -m pytest --cov=tf2onnx --cov-report=term --disable-pytest-warnings -r s tests --cov-append --junitxml=junit/test-results.xml
         ls
diff --git a/.github/workflows/keras_application_test_ci.yml b/.github/workflows/keras_application_test_ci.yml
index ce9527158..91a4cd976 100644
--- a/.github/workflows/keras_application_test_ci.yml
+++ b/.github/workflows/keras_application_test_ci.yml
@@ -15,7 +15,7 @@ concurrency:
 
 jobs:
 
-  Test_min_py_with_min_tf: # Do not change this name because it is used in Ruleset of this repo.
+  Test1_py310_tf2_19: # Do not change this name because it is used in Ruleset of this repo.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -24,86 +24,60 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Run Tests (Py39-TF2.9)
+      - name: Run Tests (Py310-TF2.19)
         uses: ./.github/actions/keras_application_test
         with:
-          tf_version: '2.9.0'
-          python_version: '3.9'
-          ort_version: '1.16.3'
-          onnx_version: '1.16.1'
-
-      - name: Upload Test Results
-        if: always()
-        uses: actions/upload-artifact@v4
-        with:
-          name: Test Results (Py39-TF2.9-ubuntu)
-          path: ./**/test-results-*.xml
-
-  Test_max_py_with_latest_tf: # Do not change this name because it is used in Ruleset of this repo.
-    strategy:
-      fail-fast: false
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Run Tests (Py310-TF2.15)
-        uses: ./.github/actions/keras_application_test
-        with:
-          tf_version: '2.15.0'
+          tf_version: '2.19.0'
           python_version: '3.10'
-          ort_version: '1.16.3'
-          onnx_version: '1.16.1'
-
-      - name: Upload Test Results
-        if: always()
-        uses: actions/upload-artifact@v4
-        with:
-          name: Test Results (Py310-TF2.15-ubuntu)
-          path: ./**/test-results-*.xml
-
-  Test_py37_with_tf1_15: # Do not change this name because it is used in Ruleset of this repo.
-    strategy:
-      fail-fast: false
-    runs-on: ubuntu-22.04
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Run Tests (Py37-TF1.15)
-        uses: ./.github/actions/keras_application_test
-        with:
-          tf_version: '1.15.5'
-          python_version: '3.7'
-          ort_version: '1.14.1'
-          onnx_version: '1.14.1'
+          ort_version: '1.20.1'
+          onnx_version: '1.17.0'
 
       - name: Upload Test Results
         if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: Test Results (Py37-TF1.15-ubuntu)
+          name: Test Results (Py310-TF2.19-ubuntu)
           path: ./**/test-results-*.xml
 
-  Extra_tests:
+  Extra_tests1:
     strategy:
       fail-fast: false
       matrix:
         name:
           - 'py38-tf2.13'
           - 'py39-tf2.15'
-        os: ['ubuntu-latest', 'windows-2022']
-        ort_version: ['1.16.3']
-        onnx_version: ['1.16.1']
+          - 'py310-tf2.19'
+          - 'py311-tf2.19'
+          - 'py312-tf2.19'
+        os: ['ubuntu-latest', 'windows-latest']
         include:
           - name: 'py38-tf2.13'
             tf_version: '2.13.0'
             python_version: '3.8'
+            ort_version: '1.16.3'
+            onnx_version: '1.16.1'
+            os_version: 'ubuntu-latest'
           - name: 'py39-tf2.15'
             tf_version: '2.15.0'
             python_version: '3.9'
+            ort_version: '1.16.3'
+            onnx_version: '1.16.1'
+            os_version: 'ubuntu-latest'
+          - name: 'py310-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.10'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
+          - name: 'py311-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.11'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
+          - name: 'py312-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.12'
+            ort_version: '1.22.0'
+            onnx_version: '1.18.0'
     runs-on: ${{ matrix.os }}
 
     steps:
@@ -126,7 +100,7 @@ jobs:
 
   publish-test-results:
     name: "Publish Tests Results to Github"
-    needs: [Test_min_py_with_min_tf, Test_max_py_with_latest_tf, Test_py37_with_tf1_15, Extra_tests]
+    needs: [Test1_py310_tf2_19, Extra_tests1]
     runs-on: ubuntu-latest
     permissions:
       checks: write
diff --git a/.github/workflows/keras_unit_test_ci.yml b/.github/workflows/keras_unit_test_ci.yml
index 756e06373..393d37429 100644
--- a/.github/workflows/keras_unit_test_ci.yml
+++ b/.github/workflows/keras_unit_test_ci.yml
@@ -14,7 +14,7 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
-  Test_min_py_with_min_tf: # Do not change this name because it is used in Ruleset of this repo.
+  Test2_py38_tf2_9: # Do not change this name because it is used in Ruleset of this repo.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -38,7 +38,7 @@ jobs:
           name: Test Results (Py39-TF2.9-ubuntu)
           path: ./**/test-results-*.xml
 
-  Test_max_py_with_latest_tf: # Do not change this name because it is used in Ruleset of this repo.
+  Test2_py310_tf2_19: # Do not change this name because it is used in Ruleset of this repo.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -47,62 +47,76 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Run Tests (Py310-TF2.15)
+      - name: Run Tests (Py310-TF2.19)
         uses: ./.github/actions/keras_unit_test
         with:
-          tf_version: '2.15.0'
+          tf_version: '2.19.0'
           python_version: '3.10'
-          ort_version: '1.16.3'
-          onnx_version: '1.16.1'
+          ort_version: '1.20.1'
+          onnx_version: '1.17.0'
 
       - name: Upload Test Results
         if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: Test Results (Py310-TF2.15-ubuntu)
+          name: Test Results (Py310-TF2.19-ubuntu)
           path: ./**/test-results-*.xml
 
-  Test_py37_with_tf1_15: # Do not change this name because it is used in Ruleset of this repo.
+  Test2_py311_tf2_19: # Do not change this name because it is used in Ruleset of this repo.
     strategy:
       fail-fast: false
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-latest
 
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Run Tests (Py37-TF1.15)
+      - name: Run Tests (Py311-TF2.19)
         uses: ./.github/actions/keras_unit_test
         with:
-          tf_version: '1.15.5'
-          python_version: '3.7'
-          ort_version: '1.14.1'
-          onnx_version: '1.14.1'
+          tf_version: '2.19.0'
+          python_version: '3.11'
+          ort_version: '1.20.1'
+          onnx_version: '1.17.0'
 
       - name: Upload Test Results
         if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: Test Results (Py37-TF1.15-ubuntu)
+          name: Test Results (Py311-TF2.19-ubuntu)
           path: ./**/test-results-*.xml
 
-  Extra_tests:
+  Extra_tests2:
     strategy:
       fail-fast: false
       matrix:
         name:
-          - 'py39-tf2.10'
+          - 'py38-tf2.13'
           - 'py39-tf2.15'
+          - 'py310-tf2.19'
+          - 'py311-tf2.19'
         os: ['ubuntu-latest', 'windows-2022']
-        ort_version: ['1.16.3']
-        onnx_version: ['1.16.1']
         include:
-          - name: 'py39-tf2.10'
-            tf_version: '2.10.0'
-            python_version: '3.9'
+          - name: 'py38-tf2.13'
+            tf_version: '2.13.0'
+            python_version: '3.8'
+            ort_version: '1.16.3'
+            onnx_version: '1.16.1'
           - name: 'py39-tf2.15'
             tf_version: '2.15.0'
             python_version: '3.9'
+            ort_version: '1.16.3'
+            onnx_version: '1.16.1'
+          - name: 'py310-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.10'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
+          - name: 'py311-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.11'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
     runs-on: ${{ matrix.os }}
 
     steps:
@@ -125,7 +139,7 @@ jobs:
 
   publish-test-results:
     name: "Publish Tests Results to Github"
-    needs: [Test_min_py_with_min_tf, Test_max_py_with_latest_tf, Test_py37_with_tf1_15, Extra_tests]
+    needs: [Test2_py38_tf2_9, Test2_py310_tf2_19, Test2_py311_tf2_19, Extra_tests2]
     runs-on: ubuntu-latest
     permissions:
       checks: write
diff --git a/.github/workflows/pretrained_model_test_ci.yml b/.github/workflows/pretrained_model_test_ci.yml
index c6a7a8e03..4c0d16a01 100644
--- a/.github/workflows/pretrained_model_test_ci.yml
+++ b/.github/workflows/pretrained_model_test_ci.yml
@@ -15,7 +15,7 @@ concurrency:
 
 jobs:
 
-  Test_min_py_with_min_tf: # Do not change this name because it is used in 'publish-test-results' section below.
+  Test3_py38_tf2_9: # Do not change this name because it is used in 'publish-test-results' section below.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -42,7 +42,7 @@ jobs:
           name: Test Results (Py39-TF2.9-18-ubuntu)
           path: ./**/test-results-*.xml
 
-  Test_max_py_with_latest_tf: # Do not change this name because it is used in 'publish-test-results' section below.
+  Test3_py310_tf2_19: # Do not change this name because it is used in 'publish-test-results' section below.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -51,14 +51,14 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Run Tests (Py310-TF2.15-18)
+      - name: Run Tests (Py310-TF2.19-18)
         uses: ./.github/actions/pretrained_model_test
         with:
           os: 'ubuntu-latest'
-          tf_version: '2.15.0'
+          tf_version: '2.19.0'
           python_version: '3.10'
-          ort_version: '1.16.3'
-          onnx_version: '1.16.1'
+          ort_version: '1.20.1'
+          onnx_version: '1.17.0'
           opset_version: '18'
           skip_tflite: 'False'
 
@@ -66,54 +66,42 @@ jobs:
         if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: Test Results (Py310-TF2.15-18-ubuntu)
-          path: ./**/test-results-*.xml
-
-  Test_py37_with_tf1_15: # Do not change this name because it is used in 'publish-test-results' section below.
-    strategy:
-      fail-fast: false
-    runs-on: ubuntu-22.04
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Run Tests (Py310-TF2.15-18)
-        uses: ./.github/actions/pretrained_model_test
-        with:
-          tf_version: '1.15.5'
-          python_version: '3.7'
-          os: 'ubuntu-22.04'  # Max ubuntu version supports python 3.7.
-          opset_version: '15'
-          ort_version: '1.14.1'
-          onnx_version: '1.14.1'
-
-      - name: Upload Test Results
-        if: always()
-        uses: actions/upload-artifact@v4
-        with:
-          name: Test Results (Py37-TF1.15-15-ubuntu)
+          name: Test Results (Py310-TF2.19-18-ubuntu)
           path: ./**/test-results-*.xml
 
-  Extra_tests:  # Do not change this name because it is used in 'publish-test-results' section below.
+  Extra_tests3:  # Do not change this name because it is used in 'publish-test-results' section below.
     strategy:
       fail-fast: false
       matrix:
         name:
           - 'py38-tf2.13'
           - 'py39-tf2.15'
+          - 'py310-tf2.19'
+          - 'py311-tf2.19'
         os: ['ubuntu-latest', 'windows-2022']
         opset_version: ['18', '15']
-        ort_version: ['1.16.3']
-        onnx_version: ['1.16.1']
         skip_tflite: ['False']
         include:
           - name: 'py38-tf2.13'
             tf_version: '2.13.0'
             python_version: '3.8'
+            ort_version: '1.16.3'
+            onnx_version: '1.16.1'
           - name: 'py39-tf2.15'
             tf_version: '2.15.0'
             python_version: '3.9'
+            ort_version: '1.16.3'
+            onnx_version: '1.16.1'
+          - name: 'py310-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.10'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
+          - name: 'py311-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.11'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
     runs-on: ${{ matrix.os }}
 
     steps:
@@ -139,7 +127,7 @@ jobs:
 
   publish-test-results:
     name: "Publish Tests Results to Github"
-    needs: [Test_min_py_with_min_tf, Test_max_py_with_latest_tf, Test_py37_with_tf1_15, Extra_tests]
+    needs: [Test3_py38_tf2_9, Test3_py310_tf2_19, Extra_tests3]
     runs-on: ubuntu-latest
     permissions:
       checks: write
diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml
index ac5631aa3..5e9377d2e 100644
--- a/.github/workflows/pylint.yml
+++ b/.github/workflows/pylint.yml
@@ -18,10 +18,10 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: 3.9  # Specify the desired Python version (e.g., 3.8, 3.9)
+          python-version: 3.11
 
       - name: Install dependencies
-        run: pip install pylint==2.4.4
+        run: pip install pylint
 
       - name: Run pylint
         run: |
diff --git a/.github/workflows/unit_test_ci.yml b/.github/workflows/unit_test_ci.yml
index 54646f68b..395b6bc6a 100644
--- a/.github/workflows/unit_test_ci.yml
+++ b/.github/workflows/unit_test_ci.yml
@@ -15,7 +15,7 @@ concurrency:
 
 jobs:
 
-  Test_min_py_with_min_tf: # Do not change this name because it is used in Ruleset of this repo.
+  Test4_py310_tf2_19: # Do not change this name because it is used in Ruleset of this repo.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -24,14 +24,14 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Run Tests (Py39-TF2.9-18)
+      - name: Run Tests (Py310-TF2.19-18)
         uses: ./.github/actions/unit_test
         with:
           os: 'ubuntu-latest'
-          tf_version: '2.9.0'
-          python_version: '3.9'
-          ort_version: '1.16.3'
-          onnx_version: '1.16.1'
+          tf_version: '2.19.0'
+          python_version: '3.10'
+          ort_version: '1.20.1'
+          onnx_version: '1.17.0'
           opset_version: '18'
           skip_tflite: 'False'
 
@@ -39,10 +39,10 @@ jobs:
         if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: Test Results (Py39-TF2.9-18-ubuntu)
+          name: Test Results (Py310-TF2.19-18-ubuntu)
           path: ./**/test-results-*.xml
 
-  Test_max_py_with_latest_tf: # Do not change this name because it is used in Ruleset of this repo.
+  Test4_py311_tf2_19: # Do not change this name because it is used in Ruleset of this repo.
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
@@ -51,14 +51,14 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Run Tests (Py310-TF2.15-18)
+      - name: Run Tests (Py311-TF2.19-18)
         uses: ./.github/actions/unit_test
         with:
           os: 'ubuntu-latest'
-          tf_version: '2.15.0'
-          python_version: '3.10'
-          ort_version: '1.16.3'
-          onnx_version: '1.16.1'
+          tf_version: '2.19.0'
+          python_version: '3.11'
+          ort_version: '1.20.1'
+          onnx_version: '1.17.0'
           opset_version: '18'
           skip_tflite: 'False'
 
@@ -66,32 +66,24 @@ jobs:
         if: always()
         uses: actions/upload-artifact@v4
         with:
-          name: Test Results (Py310-TF2.15-18-ubuntu)
+          name: Test Results (Py311-TF2.19-18-ubuntu)
           path: ./**/test-results-*.xml
 
-  Extra_tests:
+  Extra_tests4:
     strategy:
       fail-fast: false
       matrix:
         name:
-          - 'py39-tf2.15'
+          - 'py312-tf2.19'
         os: ['ubuntu-latest', 'windows-2022']
-        opset_version: ['18', '15']
-        ort_version: ['1.16.3']
-        onnx_version: ['1.16.1']
+        opset_version: ['18']
         skip_tflite: ['False']
         include:
-          - name: 'py39-tf2.15'
-            tf_version: '2.15.0'
-            python_version: '3.9'
-          - name: 'py37-tf1.15'
-            tf_version: '1.15.5'
-            python_version: '3.7'
-            os: 'ubuntu-22.04'  # Max ubuntu version supports python 3.7.
-            opset_version: '15'
-            ort_version: '1.14.1'
-            onnx_version: '1.14.1'
-            skip_tflite: 'True'
+          - name: 'py312-tf2.19'
+            tf_version: '2.19.0'
+            python_version: '3.11'
+            ort_version: '1.20.1'
+            onnx_version: '1.17.0'
 
     runs-on: ${{ matrix.os }}
 
@@ -118,7 +110,7 @@ jobs:
 
   publish-test-results:
     name: "Publish Tests Results to Github"
-    needs: [Test_min_py_with_min_tf, Test_max_py_with_latest_tf, Extra_tests]
+    needs: [Test4_py310_tf2_19, Test4_py311_tf2_19, Extra_tests4]
     runs-on: ubuntu-latest
     permissions:
       checks: write
diff --git a/README.md b/README.md
index 776b8e8f0..d69cff1bb 100644
--- a/README.md
+++ b/README.md
@@ -19,10 +19,10 @@ The common issues we run into we try to document here [Troubleshooting Guide](Tr
 
 <br/>
 
-| Build Type | OS | Python | TensorFlow | ONNX opset |
-| ---        | -  | ---    | ---        | ---        |
-| Unit Test - Basic | Linux, Windows | 3.7-3.12 | 1.15, 2.9-2.15 | 14-18 |
-| Unit Test - Full | Linux, Windows | 3.7-3.12 | 1.15, 2.9-2.15 | 14-18 | 
+| Build Type | OS | Python | TensorFlow | ONNX opset | Status |
+| ---        | ---    | ---    | ---        | ---        | ---    |
+| Unit Test - Basic | Linux, Windows | 3.7-3.12 | 1.15, 2.9-2.15 | 14-18 | [![Build Status](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_apis/build/status/unit_test?branchName=main)](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=16&branchName=main) |
+| Unit Test - Full | Linux, Windows | 3.7-3.12 | 1.15, 2.9-2.15 | 14-18 | [![Build Status](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_apis/build/status/unit_test-matrix?branchName=main)](https://dev.azure.com/tensorflow-onnx/tensorflow-onnx/_build/latest?definitionId=18&branchName=main) | |
 <br/>
 
 ## Supported Versions
@@ -46,7 +46,7 @@ You can install tf2onnx on top of tf-1.x or tf-2.x.
 
 ### Python
 
-We support Python ```3.7-3.12```.
+We support Python ```3.8-3.12```.
 
 ## Prerequisites
 
@@ -336,8 +336,6 @@ model_proto, external_tensor_storage = tf2onnx.convert.from_keras(model,
         An ONNX model_proto and an external_tensor_storage dict.
 ```
 
-See [tutorials/keras-resnet50.ipynb](tutorials/keras-resnet50.ipynb) for an end to end example.
-
 ### from_function (tf-2.0 and newer)
 ```
 import tf2onnx
diff --git a/Troubleshooting.md b/Troubleshooting.md
index fd9ef4a6a..5aff57cc5 100644
--- a/Troubleshooting.md
+++ b/Troubleshooting.md
@@ -36,3 +36,7 @@ An example of this is the [ONNX Slice operator before opset-10](https://github.c
 You can pass the options ```--fold_const```(removed after tf2onnx-1.9.3) in the tf2onnx command line that allows tf2onnx to apply more aggressive constant folding which will increase chances to find a constant.
 
 If this doesn't work the model is most likely not to be able to convert to ONNX. We used to see this a lot of issue with the ONNX Slice op and in opset-10 was updated for exactly this reason.
+
+## cudaSetDevice() on GPU:0 failed. Status: CUDA-capable device(s) is/are busy or unavailable
+
+See [Regression: TF 2.18 crashes with cudaSetDevice failing due to GPU being busy](https://github.com/tensorflow/tensorflow/issues/78784).
diff --git a/examples/end2end_tfkeras.py b/examples/end2end_tfkeras.py
index 21ffd2d76..24a95f5dc 100644
--- a/examples/end2end_tfkeras.py
+++ b/examples/end2end_tfkeras.py
@@ -8,11 +8,9 @@
 *onnxruntime*, *tensorflow* and *tensorflow.lite*.
 """
 from onnxruntime import InferenceSession
-import os
 import subprocess
 import timeit
 import numpy as np
-import tensorflow as tf
 from tensorflow import keras
 from tensorflow.keras import layers, Input
 
diff --git a/examples/tf_custom_op/double_and_add_one_custom_op.py b/examples/tf_custom_op/double_and_add_one_custom_op.py
index 770324ceb..e8510c414 100644
--- a/examples/tf_custom_op/double_and_add_one_custom_op.py
+++ b/examples/tf_custom_op/double_and_add_one_custom_op.py
@@ -7,7 +7,6 @@
 import os
 from tf2onnx import utils
 from tf2onnx.handler import tf_op
-from tf2onnx.tf_loader import tf_placeholder
 
 
 DIR_PATH = os.path.realpath(os.path.dirname(__file__))
diff --git a/setup.py b/setup.py
index d074a1e80..02d61961f 100644
--- a/setup.py
+++ b/setup.py
@@ -82,7 +82,7 @@ def run(self):
     author='ONNX',
     author_email='onnx-technical-discuss@lists.lfaidata.foundation',
     url='https://github.com/onnx/tensorflow-onnx',
-    install_requires=['numpy>=1.14.1', 'onnx>=1.4.1', 'requests', 'six', 'flatbuffers>=1.12', 'protobuf~=3.20'],
+    install_requires=['numpy>=1.14.1', 'onnx>=1.4.1', 'requests', 'six', 'flatbuffers>=1.12'],
     classifiers=[
         'Development Status :: 5 - Production/Stable',
         'Intended Audience :: Developers',
diff --git a/tests/keras2onnx_unit_tests/conftest.py b/tests/keras2onnx_unit_tests/conftest.py
index f3b518d44..ea6ab4441 100644
--- a/tests/keras2onnx_unit_tests/conftest.py
+++ b/tests/keras2onnx_unit_tests/conftest.py
@@ -13,6 +13,12 @@
 K = keras.backend
 
 
+def is_keras_3():
+    if hasattr(keras, '__version__'):
+        return keras.__version__.startswith("3.")
+
+    return False
+
 @pytest.fixture(scope='function')
 def runner():
     np.random.seed(42)
@@ -25,12 +31,19 @@ def runner():
     def runner_func(*args, **kwargs):
         return run_onnx_runtime(*args, model_files, **kwargs)
 
-    # Ensure Keras layer naming is reset for each function
-    if hasattr(K, "reset_uids"):
-        # see https://github.com/onnx/tensorflow-onnx/issues/2370
-        K.reset_uids()
-    # Reset the TensorFlow session to avoid resource leaking between tests
-    K.clear_session()
+    if is_keras_3():
+        import tf_keras
+        if hasattr(K, "reset_uids"):
+            # see https://github.com/onnx/tensorflow-onnx/issues/2370
+            K.reset_uids()
+        tf_keras.backend.clear_session()
+    else:
+        # Ensure Keras layer naming is reset for each function
+        if hasattr(K, "reset_uids"):
+            # see https://github.com/onnx/tensorflow-onnx/issues/2370
+            K.reset_uids()
+        # Reset the TensorFlow session to avoid resource leaking between tests
+        K.clear_session()
 
     # Provide wrapped run_onnx_runtime function
     yield runner_func
diff --git a/tests/keras2onnx_unit_tests/test_subclassing.py b/tests/keras2onnx_unit_tests/test_subclassing.py
index f4b8ea9d0..dd7e58adc 100644
--- a/tests/keras2onnx_unit_tests/test_subclassing.py
+++ b/tests/keras2onnx_unit_tests/test_subclassing.py
@@ -49,13 +49,41 @@ def call(self, inputs, **kwargs):
         return output
 
 
-class SimpleWrapperModel(tf.keras.Model):
-    def __init__(self, func):
-        super(SimpleWrapperModel, self).__init__()
-        self.func = func
-
-    def call(self, inputs, **kwargs):
-        return self.func(inputs)
+def get_save_spec(model, dynamic_batch=False):
+  """Returns the save spec of the subclassing keras model."""
+  from tensorflow.python.framework import tensor_spec
+  shapes_dict = getattr(model, '_build_shapes_dict', None)
+  # TODO: restore dynamic_batch
+  # assert not dynamic_batch, f"get_save_spec: dynamic_batch={dynamic_batch}, shapes_dict={shapes_dict}"
+  if not shapes_dict:
+    return None
+
+  if 'input_shape' not in shapes_dict:
+    raise ValueError(
+        'Model {} cannot be saved because the input shapes have not been set.'
+    )
+
+  input_shape = shapes_dict['input_shape']
+  if isinstance(input_shape, tuple):
+    shape = input_shape
+    shape = (None,) + shape[1:]
+    return tensor_spec.TensorSpec(
+        shape=shape, dtype=model.input_dtype
+    )
+  elif isinstance(input_shape, dict):
+    specs = {}
+    for key, shape in input_shape.items():
+      shape = (None,) + shape[1:]
+      specs[key] = tensor_spec.TensorSpec(
+          shape=shape, dtype=model.input_dtype, name=key
+      )
+    return specs
+  elif isinstance(input_shape, list):
+    specs = []
+    for shape in input_shape:
+      shape = (None,) + shape[1:]
+      specs.append(tensor_spec.TensorSpec(shape=shape, dtype=model.input_dtype))
+    return specs
 
 
 def test_lenet(runner):
@@ -87,7 +115,11 @@ def op_func(arg_inputs):
         x = x - tf.cast(tf.expand_dims(r, axis=0), tf.float32)
         return x
 
-    dm = SimpleWrapperModel(op_func)
+    class Model(tf.keras.Model):
+        def call(self, inputs, **kwargs):
+            return op_func(inputs)
+
+    dm = Model()
     inputs = [tf.random.normal((3, 2, 20)), tf.random.normal((3, 2, 20))]
     expected = dm.predict(inputs)
     oxml = convert_keras(dm)
@@ -195,10 +227,17 @@ def _tf_where(input_0):
         c = tf.logical_or(tf.cast(a, tf.bool), tf.cast(b, tf.bool))
         return c
 
-    swm = SimpleWrapperModel(_tf_where)
+    class Model(tf.keras.Model):
+        def call(self, inputs, **kwargs):
+            return _tf_where(inputs)
+
+    swm = Model()
     const_in = [np.array([2, 4, 6, 8, 10]).astype(np.int32)]
     expected = swm(const_in)
-    swm._set_inputs(const_in)
+    if hasattr(swm, "_set_input"):
+        swm._set_inputs(const_in)
+    else:
+        swm.inputs_spec = const_in
     oxml = convert_keras(swm)
     assert runner('where_test', oxml, const_in, expected)
 
diff --git a/tests/run_pretrained_models.py b/tests/run_pretrained_models.py
index a6a952af3..7b74bbc61 100644
--- a/tests/run_pretrained_models.py
+++ b/tests/run_pretrained_models.py
@@ -474,7 +474,7 @@ def run_tflite():
             for k in input_names:
                 v = self.input_names[k]
                 inputs[to_rename.get(k, k)] = tf.constant(self.make_input(v))
-            tf_func = tf.function(concrete_func)
+            tf_func = tf.function(self.concrete_function)
             logger.info("Running TF")
             tf_results_d = tf_func(**inputs)
             # If there is only a single output a dict might not be returned
@@ -492,7 +492,7 @@ def run_tflite():
                     tf.profiler.experimental.start(self.tf_profile)
                 while time.time() < stop:
                     for _ in range(PERF_STEP):
-                        _ = concrete_func(**inputs)
+                        _ = self.concrete_function(**inputs)
                     n += PERF_STEP
                 if self.tf_profile is not None:
                     tf.profiler.experimental.stop()
diff --git a/tests/test_cudnn_compatible_gru.py b/tests/test_cudnn_compatible_gru.py
index ceab5a5ee..e01f08e6d 100644
--- a/tests/test_cudnn_compatible_gru.py
+++ b/tests/test_cudnn_compatible_gru.py
@@ -16,9 +16,7 @@
 # pylint: disable=missing-docstring,invalid-name,unused-argument,using-constant-test,cell-var-from-loop
 
 if is_tf2():
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
-    dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
-    bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
+    pass
 else:
     GRUBlockCell = tf.contrib.rnn.GRUBlockCell
     MultiRNNCell = tf.contrib.rnn.MultiRNNCell
diff --git a/tests/test_custom_rnncell.py b/tests/test_custom_rnncell.py
index b5286c348..8cff2d81e 100644
--- a/tests/test_custom_rnncell.py
+++ b/tests/test_custom_rnncell.py
@@ -16,13 +16,8 @@
 # pylint: disable=abstract-method,arguments-differ
 
 if is_tf2():
-    BasicLSTMCell = tf.compat.v1.nn.rnn_cell.BasicLSTMCell
-    LSTMCell = tf.compat.v1.nn.rnn_cell.LSTMCell
-    GRUCell = tf.compat.v1.nn.rnn_cell.GRUCell
-    RNNCell = tf.compat.v1.nn.rnn_cell.RNNCell
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
-    dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
-    bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
+    # no test for tf2 in this file
+    pass
 else:
     LSTMBlockCell = tf.contrib.rnn.LSTMBlockCell
     LSTMCell = tf.nn.rnn_cell.LSTMCell
@@ -32,6 +27,45 @@
     dynamic_rnn = tf.nn.dynamic_rnn
     bidirectional_dynamic_rnn = tf.nn.bidirectional_dynamic_rnn
 
+    class GatedGRUCell(RNNCell):
+        def __init__(self, hidden_dim, reuse=None):
+            super().__init__(self, _reuse=reuse)
+            self._num_units = hidden_dim
+            self._activation = tf.tanh
+
+        @property
+        def state_size(self):
+            return self._num_units
+
+        @property
+        def output_size(self):
+            return self._num_units
+
+        def call(self, inputs, state):
+            # inputs shape: [batch size, time step, input size] = [1, 3, 2]
+            # num_units: 5
+            # W shape: [2, 3 * 5] = [2, 15]
+            # U shape: [5, 3 * 5] = [5, 15]
+            # b shape: [1, 3 * 5] = [1, 15]
+            # state shape: [batch size, state size] = [1, 5]
+
+            input_dim = inputs.get_shape()[-1]
+            assert input_dim is not None, "input dimension must be defined"
+            # W = tf.get_variable(name="W", shape=[input_dim, 3 * self._num_units], dtype=tf.float32)
+            W = np.arange(30.0, dtype=np.float32).reshape((2, 15))
+            # U = tf.get_variable(name='U', shape=[self._num_units, 3 * self._num_units], dtype=tf.float32)
+            U = np.arange(75.0, dtype=np.float32).reshape((5, 15))
+            # b = tf.get_variable(name='b', shape=[1, 3 * self._num_units], dtype=tf.float32)
+            b = np.arange(15.0, dtype=np.float32).reshape((1, 15))
+
+            xw = tf.split(tf.matmul(inputs, W) + b, 3, 1)
+            hu = tf.split(tf.matmul(state, U), 3, 1)
+            r = tf.sigmoid(xw[0] + hu[0])
+            z = tf.sigmoid(xw[1] + hu[1])
+            h1 = self._activation(xw[2] + r * hu[2])
+            next_h = h1 * (1 - z) + state * z
+            return next_h, next_h
+
 
 class CustomRnnCellTests(Tf2OnnxBackendTestBase):
     @check_opset_min_version(8, "Scan")
@@ -376,45 +410,5 @@ def func(encoder_x, decoder_x, seq_length):
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port, 0.1)
 
 
-class GatedGRUCell(RNNCell):
-    def __init__(self, hidden_dim, reuse=None):
-        super().__init__(self, _reuse=reuse)
-        self._num_units = hidden_dim
-        self._activation = tf.tanh
-
-    @property
-    def state_size(self):
-        return self._num_units
-
-    @property
-    def output_size(self):
-        return self._num_units
-
-    def call(self, inputs, state):
-        # inputs shape: [batch size, time step, input size] = [1, 3, 2]
-        # num_units: 5
-        # W shape: [2, 3 * 5] = [2, 15]
-        # U shape: [5, 3 * 5] = [5, 15]
-        # b shape: [1, 3 * 5] = [1, 15]
-        # state shape: [batch size, state size] = [1, 5]
-
-        input_dim = inputs.get_shape()[-1]
-        assert input_dim is not None, "input dimension must be defined"
-        # W = tf.get_variable(name="W", shape=[input_dim, 3 * self._num_units], dtype=tf.float32)
-        W = np.arange(30.0, dtype=np.float32).reshape((2, 15))
-        # U = tf.get_variable(name='U', shape=[self._num_units, 3 * self._num_units], dtype=tf.float32)
-        U = np.arange(75.0, dtype=np.float32).reshape((5, 15))
-        # b = tf.get_variable(name='b', shape=[1, 3 * self._num_units], dtype=tf.float32)
-        b = np.arange(15.0, dtype=np.float32).reshape((1, 15))
-
-        xw = tf.split(tf.matmul(inputs, W) + b, 3, 1)
-        hu = tf.split(tf.matmul(state, U), 3, 1)
-        r = tf.sigmoid(xw[0] + hu[0])
-        z = tf.sigmoid(xw[1] + hu[1])
-        h1 = self._activation(xw[2] + r * hu[2])
-        next_h = h1 * (1 - z) + state * z
-        return next_h, next_h
-
-
 if __name__ == '__main__':
     unittest_main()
diff --git a/tests/test_gru.py b/tests/test_gru.py
index 88d1f7f7c..c127c57dc 100644
--- a/tests/test_gru.py
+++ b/tests/test_gru.py
@@ -34,10 +34,13 @@
 
 if is_tf2():
     # There is no LSTMBlockCell in tf-2.x
-    BasicLSTMCell = tf.compat.v1.nn.rnn_cell.BasicLSTMCell
-    LSTMCell = tf.compat.v1.nn.rnn_cell.LSTMCell
-    GRUCell = tf.compat.v1.nn.rnn_cell.GRUCell
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
+    try:
+        BasicLSTMCell = getattr(tf.compat.v1.nn.rnn_cell, "BasicLSTMCell", None)
+        LSTMCell = getattr(tf.compat.v1.nn.rnn_cell, "LSTMCell", None)
+        GRUCell = getattr(tf.compat.v1.nn.rnn_cell, "GRUCell", None)
+        MultiRNNCell = getattr(tf.compat.v1.nn.rnn_cell, "MultiRNNCell", None)
+    except ImportError:
+        pass
     dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
     bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
 else:
diff --git a/tests/test_grublock.py b/tests/test_grublock.py
index ebd878680..7418fc128 100644
--- a/tests/test_grublock.py
+++ b/tests/test_grublock.py
@@ -17,7 +17,10 @@
 # pylint: disable=invalid-name
 
 if is_tf2():
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
+    try:
+        MultiRNNCell = getattr(tf.compat.v1.nn.rnn_cell, "MultiRNNCell", None)
+    except ImportError:
+        pass
     dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
     bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
 else:
diff --git a/tests/test_lstm.py b/tests/test_lstm.py
index 3f9d41e5b..675298c44 100644
--- a/tests/test_lstm.py
+++ b/tests/test_lstm.py
@@ -21,9 +21,12 @@
 
 if is_tf2():
     # There is no LSTMBlockCell in tf-2.x
-    BasicLSTMCell = tf.compat.v1.nn.rnn_cell.BasicLSTMCell
-    LSTMCell = tf.compat.v1.nn.rnn_cell.LSTMCell
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
+    try:
+        BasicLSTMCell = getattr(tf.compat.v1.nn.rnn_cell, "BasicLSTMCell", None)
+        LSTMCell = getattr(tf.compat.v1.nn.rnn_cell, "LSTMCell", None)
+        MultiRNNCell = getattr(tf.compat.v1.nn.rnn_cell, "MultiRNNCell", None)
+    except ImportError:
+        pass
     dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
     bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
 else:
diff --git a/tests/test_lstmblock.py b/tests/test_lstmblock.py
index d44e16ebd..0b8c9f8e1 100644
--- a/tests/test_lstmblock.py
+++ b/tests/test_lstmblock.py
@@ -16,9 +16,7 @@
 
 if is_tf2():
     # There is no LSTMBlockCell in tf-2.x
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
-    dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
-    bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
+    pass
 else:
     LSTMBlockCell = tf.contrib.rnn.LSTMBlockCell
     MultiRNNCell = tf.contrib.rnn.MultiRNNCell
diff --git a/tests/test_seq2seq.py b/tests/test_seq2seq.py
index 4a6963467..51e1255be 100644
--- a/tests/test_seq2seq.py
+++ b/tests/test_seq2seq.py
@@ -13,13 +13,7 @@
 # pylint: disable=invalid-name
 
 if is_tf2():
-    BasicLSTMCell = tf.compat.v1.nn.rnn_cell.BasicLSTMCell
-    LSTMCell = tf.compat.v1.nn.rnn_cell.LSTMCell
-    RNNCell = tf.compat.v1.nn.rnn_cell.RNNCell
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
-    dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
-    bidirectional_dynamic_rnn = tf.compat.v1.nn.bidirectional_dynamic_rnn
-    LSTMStateTuple = tf.compat.v1.nn.rnn_cell.LSTMStateTuple
+    pass
 else:
     LSTMCell = tf.contrib.rnn.LSTMCell
     LSTMBlockCell = tf.contrib.rnn.LSTMBlockCell
diff --git a/tests/test_stacked_lstm.py b/tests/test_stacked_lstm.py
index 2cfef9bb1..2b3f877bc 100644
--- a/tests/test_stacked_lstm.py
+++ b/tests/test_stacked_lstm.py
@@ -16,8 +16,11 @@
 # pylint: disable=invalid-name
 
 if is_tf2():
-    LSTMCell = tf.compat.v1.nn.rnn_cell.LSTMCell
-    MultiRNNCell = tf.compat.v1.nn.rnn_cell.MultiRNNCell
+    try:
+        LSTMCell = getattr(tf.compat.v1.nn.rnn_cell, "LSTMCell", None)
+        MultiRNNCell = getattr(tf.compat.v1.nn.rnn_cell, "MultiRNNCell", None)
+    except ImportError:
+        pass
     dynamic_rnn = tf.compat.v1.nn.dynamic_rnn
 else:
     LSTMCell = tf.contrib.rnn.LSTMCell
diff --git a/tests/utils/setup_test_env.sh b/tests/utils/setup_test_env.sh
index a14828d05..0c643d854 100755
--- a/tests/utils/setup_test_env.sh
+++ b/tests/utils/setup_test_env.sh
@@ -16,17 +16,22 @@ echo "==== ONNXRuntime version: $ORT_VERSION"
 echo "==== ONNX version: $ONNX_VERSION"
 
 pip install pytest pytest-cov pytest-runner coverage graphviz requests pyyaml pillow pandas parameterized sympy coloredlogs flatbuffers timeout-decorator
-pip install onnx==$ONNX_VERSION
-pip install onnxruntime==$ORT_VERSION
-pip install "numpy<2"
-
-pip install onnxruntime-extensions
-pip install "tensorflow-text<=$TF_VERSION"
-
-pip uninstall -y tensorflow
-pip install tensorflow==$TF_VERSION
-pip uninstall -y protobuf
-pip install "protobuf~=3.20"
+pip uninstall -y tensorflow protobuf h5py
+pip install onnx==$ONNX_VERSION onnxruntime==$ORT_VERSION onnxruntime-extensions
+
+if [[ $TF_VERSION == 1.* ]]; then 
+    echo "-- install-3 TF1-KERAS $TF_VERSION"
+    pip install numpy==1.19.0 tensorflow==$TF_VERSION protobug keras h5py
+else 
+    pip uninstall -y protobuf
+    if [[ "$TF_VERSION" != "2.13.0" && "$TF_VERSION" != "2.9.0" ]]; then 
+        echo "-- install-3 TF-KERAS $TF_VERSION"
+        pip install tensorflow==$TF_VERSION tf_keras==$TF_VERSION tensorflow-text
+    else
+        echo "-- install-3 TF $TF_VERSION"
+        pip install tensorflow-text tensorflow==$TF_VERSION protobuf
+    fi
+fi
 
 python setup.py install
 
diff --git a/tf2onnx/convert.py b/tf2onnx/convert.py
index 6ee66c096..8ce11f9cc 100644
--- a/tf2onnx/convert.py
+++ b/tf2onnx/convert.py
@@ -20,7 +20,7 @@
 from tf2onnx import constants, logging, utils, optimizer
 from tf2onnx import tf_loader
 from tf2onnx.graph import ExternalTensorStorage
-from tf2onnx.tf_utils import compress_graph_def, get_tf_version
+from tf2onnx.tf_utils import compress_graph_def, get_tf_version, get_keras_version
 
 
 
@@ -328,7 +328,8 @@ def _rename_duplicate_keras_model_names(model):
     IMPORTANT: model may be edited. Assign model.output_names to old_out_names to restore.
     """
     old_out_names = None
-    if model.output_names and len(set(model.output_names)) != len(model.output_names):
+    if hasattr(model, "output_names") and model.output_names \
+        and len(set(model.output_names)) != len(model.output_names):
         # In very rare cases, keras has a bug where it will give multiple outputs the same name
         # We must edit the model or the TF trace will fail
         old_out_names = model.output_names
@@ -408,6 +409,100 @@ def _from_keras_tf1(model, opset=None, custom_ops=None, custom_op_handlers=None,
 
         return model_proto, external_tensor_storage
 
+def from_keras3(model, input_signature=None, opset=None, custom_ops=None, custom_op_handlers=None,
+               custom_rewriter=None, inputs_as_nchw=None, outputs_as_nchw=None, extra_opset=None, shape_override=None,
+               target=None, large_model=False, output_path=None, optimizers=None):
+    """
+    Convert a Keras 3 model to ONNX using tf2onnx.
+
+    Args:
+        model: Keras 3 Functional or Sequential model
+        name: Name for the converted model
+        input_signature: Optional list of tf.TensorSpec
+        opset: ONNX opset version
+        custom_ops: Dictionary of custom ops
+        custom_op_handlers: Dictionary of custom op handlers
+        custom_rewriter: List of graph rewriters
+        inputs_as_nchw: List of input names to convert to NCHW
+        extra_opset: Additional opset imports
+        shape_override: Dictionary to override input shapes
+        target: Target platforms (for workarounds)
+        large_model: Whether to use external tensor storage
+        output_path: Optional path to write ONNX model to file
+
+    Returns:
+        A tuple (model_proto, external_tensor_storage_dict)
+    """
+
+    
+    if not input_signature:
+        
+        input_signature = [
+            tf.TensorSpec(tensor.shape, tensor.dtype, name=tensor.name.split(":")[0])
+            for tensor in model.inputs
+        ]
+
+    # Trace model
+    function = tf.function(model)
+    concrete_func = function.get_concrete_function(*input_signature)
+
+    # These inputs will be removed during freezing (includes resources, etc.)
+    if hasattr(concrete_func.graph, '_captures'):
+        graph_captures = concrete_func.graph._captures  # pylint: disable=protected-access
+        captured_inputs = [t_name.name for _, t_name in graph_captures.values()]
+    else:
+        graph_captures = concrete_func.graph.function_captures.by_val_internal
+        captured_inputs = [t.name for t in graph_captures.values()]
+    input_names = [input_tensor.name for input_tensor in concrete_func.inputs
+                   if input_tensor.name not in captured_inputs]
+    output_names = [output_tensor.name for output_tensor in concrete_func.outputs
+                    if output_tensor.dtype != tf.dtypes.resource]
+    
+
+    tensors_to_rename = tensor_names_from_structed(concrete_func, input_names, output_names)
+    reverse_lookup = {v: k for k, v in tensors_to_rename.items()}
+    
+    
+
+    valid_names = []
+    for out in [t.name for t in model.outputs]:
+        if out in reverse_lookup:
+            valid_names.append(reverse_lookup[out])
+        else:
+            print(f"Warning: Output name '{out}' not found in reverse_lookup.")
+            # Fallback: verwende TensorFlow-Ausgangsnamen direkt
+            valid_names = [t.name for t in concrete_func.outputs if t.dtype != tf.dtypes.resource]
+            break
+    output_names = valid_names
+
+
+    #if old_out_names is not None:
+        #model.output_names = old_out_names
+
+    with tf.device("/cpu:0"):
+        frozen_graph, initialized_tables = \
+            tf_loader.from_trackable(model, concrete_func, input_names, output_names, large_model)
+        model_proto, external_tensor_storage = _convert_common(
+            frozen_graph,
+            name=model.name,
+            continue_on_error=True,
+            target=target,
+            opset=opset,
+            custom_ops=custom_ops,
+            custom_op_handlers=custom_op_handlers,
+            optimizers=optimizers,
+            custom_rewriter=custom_rewriter,
+            extra_opset=extra_opset,
+            shape_override=shape_override,
+            input_names=input_names,
+            output_names=output_names,
+            inputs_as_nchw=inputs_as_nchw,
+            outputs_as_nchw=outputs_as_nchw,
+            large_model=large_model,
+            tensors_to_rename=tensors_to_rename,
+            initialized_tables=initialized_tables,
+            output_path=output_path)
+        return model_proto, external_tensor_storage
 
 def from_keras(model, input_signature=None, opset=None, custom_ops=None, custom_op_handlers=None,
                custom_rewriter=None, inputs_as_nchw=None, outputs_as_nchw=None, extra_opset=None, shape_override=None,
@@ -438,6 +533,10 @@ def from_keras(model, input_signature=None, opset=None, custom_ops=None, custom_
     if get_tf_version() < Version("2.0"):
         return _from_keras_tf1(model, opset, custom_ops, custom_op_handlers, custom_rewriter, inputs_as_nchw,
                                outputs_as_nchw, extra_opset, shape_override, target, large_model, output_path)
+    if get_keras_version() > Version("3.0"):
+        return from_keras3(model, input_signature, opset, custom_ops, custom_op_handlers,
+               custom_rewriter, inputs_as_nchw, outputs_as_nchw, extra_opset, shape_override,
+               target, large_model, output_path, optimizers)
 
     old_out_names = _rename_duplicate_keras_model_names(model)
     from tensorflow.python.keras.saving import saving_utils as _saving_utils # pylint: disable=import-outside-toplevel
@@ -446,7 +545,7 @@ def from_keras(model, input_signature=None, opset=None, custom_ops=None, custom_
     function = _saving_utils.trace_model_call(model, input_signature)
     try:
         concrete_func = function.get_concrete_function()
-    except TypeError as e:
+    except (TypeError, AttributeError) as e:
         # Legacy keras models don't accept the training arg tf provides so we hack around it
         if "got an unexpected keyword argument 'training'" not in str(e):
             raise e
diff --git a/tf2onnx/onnx_opset/nn.py b/tf2onnx/onnx_opset/nn.py
index a06f02cec..1d10bbd66 100644
--- a/tf2onnx/onnx_opset/nn.py
+++ b/tf2onnx/onnx_opset/nn.py
@@ -1793,6 +1793,7 @@ def version_11(cls, ctx, node, **kwargs):
             node.type = "Identity"
             ctx.replace_inputs(node, [data])
             return
+        cond = None
         if len(conditions) == 1:
             cond = conditions[0]
         if len(conditions) == 2:
diff --git a/tf2onnx/tf_utils.py b/tf2onnx/tf_utils.py
index 16cb76344..bbbe9db30 100644
--- a/tf2onnx/tf_utils.py
+++ b/tf2onnx/tf_utils.py
@@ -10,6 +10,7 @@
 
 import numpy as np
 import tensorflow as tf
+import keras
 
 from tensorflow.core.framework import types_pb2, tensor_pb2, graph_pb2
 from tensorflow.python.framework import tensor_util
@@ -124,6 +125,9 @@ def get_tf_node_attr(node, name):
 def get_tf_version():
     return Version(tf.__version__)
 
+def get_keras_version():
+    return Version(keras.__version__)
+
 def compress_graph_def(graph_def):
     """
     Remove large const values from graph. This lets us import the graph and run shape inference without TF crashing.
@@ -351,9 +355,9 @@ def read_tf_node_def_attrs(node_def, input_dtypes, input_shapes):
 # ignore the following attributes
 TF_IGNORED_NODE_ATTRS = {
     "T", "unknown_rank", "_class", "Tshape", "use_cudnn_on_gpu", "Index", "Tpaddings",
-    "TI", "Tparams", "Tindices", "Tlen", "Tdim", "Tin", "dynamic_size", "Tmultiples",
+    "TI", "Tparams", "Tindices", "Tlen", "Tdim", "dynamic_size", "Tmultiples",
     "Tblock_shape", "Tcrops", "index_type", "Taxis", "U", "maxval",
-    "Tout", "Tlabels", "Tindex", "element_shape", "Targmax", "Tperm", "Tcond",
+    "Tlabels", "Tindex", "element_shape", "Targmax", "Tperm", "Tcond",
     "T_threshold", "shape_type", "_lower_using_switch_merge",
     "parallel_iterations", "_num_original_outputs", "output_types", "output_shapes",
     "key_dtype", "value_dtype", "Tin", "Tout", "capacity", "component_types", "shapes",
diff --git a/tf2onnx/utils.py b/tf2onnx/utils.py
index 7f2f53daa..f6749eb7a 100644
--- a/tf2onnx/utils.py
+++ b/tf2onnx/utils.py
@@ -38,6 +38,7 @@
     onnx_pb.TensorProto.FLOAT: np.float32,
     onnx_pb.TensorProto.FLOAT16: np.float16,
     onnx_pb.TensorProto.DOUBLE: np.float64,
+    onnx_pb.TensorProto.INT64: np.int64,
     onnx_pb.TensorProto.INT32: np.int32,
     onnx_pb.TensorProto.INT16: np.int16,
     onnx_pb.TensorProto.INT8: np.int8,
@@ -45,8 +46,6 @@
     onnx_pb.TensorProto.UINT16: np.uint16,
     onnx_pb.TensorProto.UINT32: np.uint32,
     onnx_pb.TensorProto.UINT64: np.uint64,
-    onnx_pb.TensorProto.INT64: np.int64,
-    onnx_pb.TensorProto.UINT64: np.uint64,
     onnx_pb.TensorProto.BOOL: bool,
     onnx_pb.TensorProto.COMPLEX64: np.complex64,
     onnx_pb.TensorProto.COMPLEX128: np.complex128,
diff --git a/tools/pylintrc b/tools/pylintrc
index 955e35304..645cf5c29 100644
--- a/tools/pylintrc
+++ b/tools/pylintrc
@@ -8,9 +8,6 @@
 # pygtk.require().
 #init-hook=
 
-# Profiled execution.
-profile=no
-
 # Add files or directories to the blacklist. They should be base names, not
 # paths.
 ignore=CVS
@@ -39,11 +36,7 @@ enable=indexing-exception,old-raise-syntax
 # --enable=similarities". If you want to run only the classes checker, but have
 # no Warning level messages displayed, use"--disable=all --enable=classes
 # --disable=W"
-disable=design,similarities,no-self-use,attribute-defined-outside-init,locally-disabled,star-args,pointless-except,bad-option-value,global-statement,fixme,suppressed-message,useless-suppression,locally-enabled,no-member,no-name-in-module,import-error,unsubscriptable-object,unbalanced-tuple-unpacking,undefined-variable,not-context-manager,useless-object-inheritance
-
-
-# Set the cache size for astng objects.
-cache-size=500
+disable=design,similarities,no-self-use,attribute-defined-outside-init,locally-disabled,star-args,pointless-except,bad-option-value,global-statement,fixme,suppressed-message,useless-suppression,locally-enabled,no-member,no-name-in-module,import-error,unsubscriptable-object,unbalanced-tuple-unpacking,undefined-variable,not-context-manager,useless-object-inheritance,consider-using-f-string,unspecified-encoding,unnecessary-lambda-assignment,use-dict-literal,consider-using-with,wrong-import-order,consider-iterating-dictionary,use-maxsplit-arg,possibly-used-before-assignment,super-with-arguments,redundant-u-string-prefix,use-list-literal,f-string-without-interpolation,condition-evals-to-constant,global-variable-not-assigned,consider-using-enumerate,unused-argument,superfluous-parens,use-sequence-for-iteration,useless-return,superfluous-parens,use-a-generator,raise-missing-from,overgeneral-exceptions,condition-evals-to-constant,consider-using-generator,use-yield-from,consider-using-min-builtin,overgeneral-exceptions
 
 
 [REPORTS]
@@ -53,11 +46,6 @@ cache-size=500
 # mypackage.mymodule.MyReporterClass.
 output-format=text
 
-# Put messages in a separate file for each module / package specified on the
-# command line instead of printing them on stdout. Reports (if any) will be
-# written in a file name "pylint_global.[txt|html]".
-files-output=no
-
 # Tells whether to display a full report or only the messages
 reports=no
 
@@ -68,10 +56,6 @@ reports=no
 # (RP0004).
 evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
 
-# Add a comment according to your evaluation note. This is used by the global
-# evaluation report (RP0004).
-comment=no
-
 # Template used to display messages. This is a python new-style format string
 # used to format the message information. See doc for all details
 #msg-template=
@@ -87,10 +71,6 @@ ignore-mixin-members=yes
 # (useful for classes with attributes dynamically set).
 ignored-classes=SQLObject
 
-# When zope mode is activated, add a predefined set of Zope acquired attributes
-# to generated-members.
-zope=no
-
 # List of members which are set dynamically and missed by pylint inference
 # system, and so shouldn't trigger E0201 when accessed. Python regular
 # expressions are accepted.
@@ -117,17 +97,6 @@ additional-builtins=
 
 [BASIC]
 
-# Required attributes for module, separated by a comma
-required-attributes=
-
-# List of builtins function names that should not be used, separated by a comma
-bad-functions=apply,input,reduce
-
-
-# Disable the report(s) with the given id(s).
-# All non-Google reports are disabled by default.
-disable-report=R0001,R0002,R0003,R0004,R0101,R0102,R0201,R0202,R0220,R0401,R0402,R0701,R0801,R0901,R0902,R0903,R0904,R0911,R0912,R0913,R0914,R0915,R0921,R0922,R0923
-
 # Regular expression which should only match correct module names
 module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$
 
@@ -187,9 +156,6 @@ ignore-long-lines=^\s*(# )?<?https?://\S+>?$
 # else.
 single-line-if-stmt=y
 
-# List of optional constructs for which whitespace checking is disabled
-no-space-check=
-
 # Maximum number of lines in a module
 max-module-lines=99999
 
@@ -239,10 +205,6 @@ int-import-graph=
 
 [CLASSES]
 
-# List of interface methods to ignore, separated by a comma. This is used for
-# instance to not check methods defines in Zope's Interface base class.
-ignore-iface-methods=isImplementedBy,deferred,extends,names,namesAndDescriptions,queryDescriptionFor,getBases,getDescriptionFor,getDoc,getName,getTaggedValue,getTaggedValueTags,isEqualOrExtendedBy,setTaggedValue,isImplementedByInstancesOf,adaptWith,is_implemented_by
-
 # List of method names used to declare (i.e. assign) instance attributes.
 defining-attr-methods=__init__,__new__,setUp
 
@@ -286,33 +248,6 @@ min-public-methods=2
 # Maximum number of public methods for a class (see R0904).
 max-public-methods=20
 
-
-[EXCEPTIONS]
-
-# Exceptions that will emit a warning when being caught. Defaults to
-# "Exception"
-overgeneral-exceptions=Exception,StandardError,BaseException
-
-
-[AST]
-
-# Maximum line length for lambdas
-short-func-length=1
-
-# List of module members that should be marked as deprecated.
-# All of the string functions are listed in 4.1.4 Deprecated string functions
-# in the Python 2.4 docs.
-deprecated-members=string.atof,string.atoi,string.atol,string.capitalize,string.expandtabs,string.find,string.rfind,string.index,string.rindex,string.count,string.lower,string.split,string.rsplit,string.splitfields,string.join,string.joinfields,string.lstrip,string.rstrip,string.strip,string.swapcase,string.translate,string.upper,string.ljust,string.rjust,string.center,string.zfill,string.replace,sys.exitfunc
-
-
-[DOCSTRING]
-
-# List of exceptions that do not need to be mentioned in the Raises section of
-# a docstring.
-ignore-exceptions=AssertionError,NotImplementedError,StopIteration,TypeError
-
-
-
 [TOKENS]
 
 # Number of spaces of indent required when the last token on the preceding line
diff --git a/tutorials/README.md b/tutorials/README.md
index 352552fac..4e92b49e4 100644
--- a/tutorials/README.md
+++ b/tutorials/README.md
@@ -9,8 +9,6 @@ The following tutorials show how to convert various models to ONNX.
 
 [efficientnet-lite](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/efficientnet-lite.ipynb)
 
-[keras-resnet50](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/keras-resnet50.ipynb) - shows how to convert a keras model via python api
-
 ## Object Detectors
 [ssd-mobilenet](https://github.com/onnx/tensorflow-onnx/blob/main/tutorials/ConvertingSSDMobilenetToONNX.ipynb)
 
diff --git a/tutorials/keras-resnet50.ipynb b/tutorials/keras-resnet50.ipynb
deleted file mode 100755
index ac3c6b203..000000000
--- a/tutorials/keras-resnet50.ipynb
+++ /dev/null
@@ -1,252 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Conversion to ONNX from keras model using tf2onnx python api "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# get image\n",
-    "!wget -q https://raw.githubusercontent.com/onnx/tensorflow-onnx/main/tests/ade20k.jpg"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install tensorflow tf2onnx onnxruntime"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import tensorflow as tf\n",
-    "from tensorflow.keras.applications.resnet50 import ResNet50\n",
-    "from tensorflow.keras.preprocessing import image\n",
-    "from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions\n",
-    "import numpy as np\n",
-    "import onnxruntime\n",
-    "\n",
-    "img_path = 'ade20k.jpg'\n",
-    "\n",
-    "img = image.load_img(img_path, target_size=(224, 224))\n",
-    "\n",
-    "x = image.img_to_array(img)\n",
-    "x = np.expand_dims(x, axis=0)\n",
-    "x = preprocess_input(x)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Run the keras model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Keras Predicted: [('n04285008', 'sports_car', 0.34311807), ('n02974003', 'car_wheel', 0.28819188), ('n03100240', 'convertible', 0.10169428)]\n",
-      "INFO:tensorflow:Assets written to: /tmp/resnet50/assets\n"
-     ]
-    }
-   ],
-   "source": [
-    "model = ResNet50(weights='imagenet')\n",
-    "\n",
-    "preds = model.predict(x)\n",
-    "print('Keras Predicted:', decode_predictions(preds, top=3)[0])\n",
-    "model.save(os.path.join(\"/tmp\", model.name))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Convert to ONNX using the Python API"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING:tensorflow:From /home/ipython/.local/lib/python3.7/site-packages/tf2onnx/tf_loader.py:558: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Use `tf.compat.v1.graph_util.extract_sub_graph`\n"
-     ]
-    }
-   ],
-   "source": [
-    "import tf2onnx\n",
-    "import onnxruntime as rt\n",
-    "\n",
-    "spec = (tf.TensorSpec((None, 224, 224, 3), tf.float32, name=\"input\"),)\n",
-    "output_path = model.name + \".onnx\"\n",
-    "\n",
-    "model_proto, _ = tf2onnx.convert.from_keras(model, input_signature=spec, opset=13, output_path=output_path)\n",
-    "output_names = [n.name for n in model_proto.graph.output]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Run the ONNX model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ONNX Predicted: [('n04285008', 'sports_car', 0.34311718), ('n02974003', 'car_wheel', 0.2881928), ('n03100240', 'convertible', 0.10169421)]\n"
-     ]
-    }
-   ],
-   "source": [
-    "providers = ['CPUExecutionProvider']\n",
-    "m = rt.InferenceSession(output_path, providers=providers)\n",
-    "onnx_pred = m.run(output_names, {\"input\": x})\n",
-    "\n",
-    "print('ONNX Predicted:', decode_predictions(onnx_pred[0], top=3)[0])\n",
-    "\n",
-    "# make sure ONNX and keras have the same results\n",
-    "np.testing.assert_allclose(preds, onnx_pred[0], rtol=1e-5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Convert to ONNX using the command line"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/lib/python3.7/runpy.py:125: RuntimeWarning: 'tf2onnx.convert' found in sys.modules after import of package 'tf2onnx', but prior to execution of 'tf2onnx.convert'; this may result in unpredictable behaviour\n",
-      "  warn(RuntimeWarning(msg))\n",
-      "2021-02-22 16:19:56,658 - WARNING - '--tag' not specified for saved_model. Using --tag serve\n",
-      "2021-02-22 16:20:01,809 - INFO - Signatures found in model: [serving_default].\n",
-      "2021-02-22 16:20:01,809 - WARNING - '--signature_def' not specified, using first signature: serving_default\n",
-      "2021-02-22 16:20:01,810 - INFO - Output names: ['predictions']\n",
-      "WARNING:tensorflow:From /home/ipython/.local/lib/python3.7/site-packages/tf2onnx/tf_loader.py:558: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Use `tf.compat.v1.graph_util.extract_sub_graph`\n",
-      "2021-02-22 16:20:03,659 - WARNING - From /home/ipython/.local/lib/python3.7/site-packages/tf2onnx/tf_loader.py:558: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Use `tf.compat.v1.graph_util.extract_sub_graph`\n",
-      "2021-02-22 16:20:04,540 - INFO - Using tensorflow=2.4.1, onnx=1.8.1, tf2onnx=1.9.0/ed89ef\n",
-      "2021-02-22 16:20:04,540 - INFO - Using opset <onnx, 13>\n",
-      "2021-02-22 16:20:07,401 - INFO - Computed 0 values for constant folding\n",
-      "2021-02-22 16:20:13,830 - INFO - Optimizing ONNX model\n",
-      "2021-02-22 16:20:15,152 - INFO - After optimization: Add -1 (18->17), BatchNormalization -53 (53->0), Cast -1 (1->0), Concat +1 (0->1), Const -162 (271->109), Identity -57 (57->0), Reshape -1 (1->0), Split +1 (0->1), Transpose -213 (215->2)\n",
-      "2021-02-22 16:20:15,259 - INFO - \n",
-      "2021-02-22 16:20:15,259 - INFO - Successfully converted TensorFlow model /tmp/resnet50 to ONNX\n",
-      "2021-02-22 16:20:15,259 - INFO - Model inputs: ['input_1:0']\n",
-      "2021-02-22 16:20:15,259 - INFO - Model outputs: ['predictions']\n",
-      "2021-02-22 16:20:15,259 - INFO - ONNX model is saved at /tmp/resnet50.onnx\n"
-     ]
-    }
-   ],
-   "source": [
-    "!python -m tf2onnx.convert --opset 13 \\\n",
-    "    --saved-model {os.path.join(\"/tmp\", model.name)} \\\n",
-    "    --output  {os.path.join(\"/tmp\", model.name + \".onnx\")}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  },
-  "varInspector": {
-   "cols": {
-    "lenName": 16,
-    "lenType": 16,
-    "lenVar": 40
-   },
-   "kernels_config": {
-    "python": {
-     "delete_cmd_postfix": "",
-     "delete_cmd_prefix": "del ",
-     "library": "var_list.py",
-     "varRefreshCmd": "print(var_dic_list())"
-    },
-    "r": {
-     "delete_cmd_postfix": ") ",
-     "delete_cmd_prefix": "rm(",
-     "library": "var_list.r",
-     "varRefreshCmd": "cat(var_dic_list()) "
-    }
-   },
-   "types_to_exclude": [
-    "module",
-    "function",
-    "builtin_function_or_method",
-    "instance",
-    "_Feature"
-   ],
-   "window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}