diff --git a/.github/scripts/generate-tensorrt-test-matrix.py b/.github/scripts/generate-tensorrt-test-matrix.py
new file mode 100644
index 0000000000..e5a9b9fae4
--- /dev/null
+++ b/.github/scripts/generate-tensorrt-test-matrix.py
@@ -0,0 +1,123 @@
+#!/usr/bin/env python3
+
+import argparse
+import copy
+import json
+import sys
+
+# please update the cuda version you want to test with the future tensorRT version here
+# channel: nightly if the future tensorRT version test workflow is triggered from the main branch or your personal branch
+# channel: test if the future tensorRT version test workflow is triggered from the release branch(release/2.5 etc....)
+CUDA_VERSIONS_DICT = {
+    "nightly": ["cu124"],
+    "test": ["cu121", "cu124"],
+    "release": ["cu121", "cu124"],
+}
+
+# please update the python version you want to test with the future tensorRT version here
+# channel: nightly if the future tensorRT version test workflow is triggered from the main branch or your personal branch
+# channel: test if the future tensorRT version test workflow is triggered from the release branch(release/2.5 etc....)
+PYTHON_VERSIONS_DICT = {
+    "nightly": ["3.9"],
+    "test": ["3.9", "3.10", "3.11", "3.12"],
+    "release": ["3.9", "3.10", "3.11", "3.12"],
+}
+
+# please update the future tensorRT version you want to test here
+TENSORRT_VERSIONS_DICT = {
+    "windows": {
+        "10.4.0": {
+            "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.4.0/zip/TensorRT-10.4.0.26.Windows.win10.cuda-12.6.zip",
+            "strip_prefix": "TensorRT-10.4.0.26",
+            "sha256": "3a7de83778b9e9f812fd8901e07e0d7d6fc54ce633fcff2e340f994df2c6356c",
+        },
+        "10.5.0": {
+            "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.5.0/zip/TensorRT-10.5.0.18.Windows.win10.cuda-12.6.zip",
+            "strip_prefix": "TensorRT-10.5.0.18",
+            "sha256": "e6436f4164db4e44d727354dccf7d93755efb70d6fbfd6fa95bdfeb2e7331b24",
+        },
+        "10.6.0": {
+            "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.6.0/zip/TensorRT-10.6.0.26.Windows.win10.cuda-12.6.zip",
+            "strip_prefix": "TensorRT-10.6.0.26",
+            "sha256": "6c6d92c108a1b3368423e8f69f08d31269830f1e4c9da43b37ba34a176797254",
+        },
+    },
+    "linux": {
+        "10.4.0": {
+            "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.4.0/tars/TensorRT-10.4.0.26.Linux.x86_64-gnu.cuda-12.6.tar.gz",
+            "strip_prefix": "TensorRT-10.4.0.26",
+            "sha256": "cb0273ecb3ba4db8993a408eedd354712301a6c7f20704c52cdf9f78aa97bbdb",
+        },
+        "10.5.0": {
+            "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.5.0/tars/TensorRT-10.5.0.18.Linux.x86_64-gnu.cuda-12.6.tar.gz",
+            "strip_prefix": "TensorRT-10.5.0.18",
+            "sha256": "f404d379d639552a3e026cd5267213bd6df18a4eb899d6e47815bbdb34854958",
+        },
+        "10.6.0": {
+            "urls": "https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.6.0/tars/TensorRT-10.6.0.26.Linux.x86_64-gnu.cuda-12.6.tar.gz",
+            "strip_prefix": "TensorRT-10.6.0.26",
+            "sha256": "33d3c2f3f4c84dc7991a4337a6fde9ed33f5c8e5c4f03ac2eb6b994a382b03a0",
+        },
+    },
+}
+
+
+def main(args: list[str]) -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--matrix",
+        help="matrix",
+        type=str,
+        default="",
+    )
+
+    options = parser.parse_args(args)
+    if options.matrix == "":
+        raise Exception("--matrix is empty, please provide the matrix json str")
+
+    matrix_dict = json.loads(options.matrix)
+    includes = matrix_dict["include"]
+    assert len(includes) > 0
+    if "channel" not in includes[0]:
+        raise Exception(f"channel field is missing from the matrix: {options.matrix}")
+    channel = includes[0]["channel"]
+    if channel not in ("nightly", "test", "release"):
+        raise Exception(
+            f"channel field: {channel} is not supported, currently supported value: nightly, test, release"
+        )
+
+    if "validation_runner" not in includes[0]:
+        raise Exception(
+            f"validation_runner field is missing from the matrix: {options.matrix}"
+        )
+    if "windows" in includes[0]["validation_runner"]:
+        arch = "windows"
+    elif "linux" in includes[0]["validation_runner"]:
+        arch = "linux"
+    else:
+        raise Exception(
+            f"{includes[0].validation_runner} is not the supported arch, currently only support windows and linux"
+        )
+
+    cuda_versions = CUDA_VERSIONS_DICT[channel]
+    python_versions = PYTHON_VERSIONS_DICT[channel]
+    tensorrt_versions = TENSORRT_VERSIONS_DICT[arch]
+
+    filtered_includes = []
+    for item in includes:
+        if (
+            item["desired_cuda"] in cuda_versions
+            and item["python_version"] in python_versions
+        ):
+            for tensorrt_version, tensorrt_json in tensorrt_versions.items():
+                new_item = copy.deepcopy(item)
+                tensorrt_json["version"] = tensorrt_version
+                new_item["tensorrt"] = tensorrt_json
+                filtered_includes.append(new_item)
+    filtered_matrix_dict = {}
+    filtered_matrix_dict["include"] = filtered_includes
+    print(json.dumps(filtered_matrix_dict))
+
+
+if __name__ == "__main__":
+    main(sys.argv[1:])
diff --git a/.github/workflows/build-tensorrt-linux.yml b/.github/workflows/build-tensorrt-linux.yml
new file mode 100644
index 0000000000..7581c38ae8
--- /dev/null
+++ b/.github/workflows/build-tensorrt-linux.yml
@@ -0,0 +1,222 @@
+name: Build Torch-TensorRT wheel on Linux with Future TensorRT Versions
+
+on:
+  workflow_call:
+    inputs:
+      repository:
+        description: 'Repository to checkout, defaults to ""'
+        default: ""
+        type: string
+      ref:
+        description: 'Reference to checkout, defaults to "nightly"'
+        default: "nightly"
+        type: string
+      test-infra-repository:
+        description: "Test infra repository to use"
+        default: "pytorch/test-infra"
+        type: string
+      test-infra-ref:
+        description: "Test infra reference to use"
+        default: ""
+        type: string
+      build-matrix:
+        description: "Build matrix to utilize"
+        default: ""
+        type: string
+      pre-script:
+        description: "Pre script to run prior to build"
+        default: ""
+        type: string
+      post-script:
+        description: "Post script to run prior to build"
+        default: ""
+        type: string
+      smoke-test-script:
+        description: "Script for Smoke Test for a specific domain"
+        default: ""
+        type: string
+      env-var-script:
+        description: "Script that sets Domain-Specific Environment Variables"
+        default: ""
+        type: string
+      package-name:
+        description: "Name of the actual python package that is imported"
+        default: ""
+        type: string
+      trigger-event:
+        description: "Trigger Event in caller that determines whether or not to upload"
+        default: ""
+        type: string
+      cache-path:
+        description: "The path(s) on the runner to cache or restore. The path is relative to repository."
+        default: ""
+        type: string
+      cache-key:
+        description: "The key created when saving a cache and the key used to search for a cache."
+        default: ""
+        type: string
+      architecture:
+        description: Architecture to build for x86_64 for default Linux, or aarch64 for Linux aarch64 builds
+        required: false
+        type: string
+        default: x86_64
+      submodules:
+        description: Works as stated in actions/checkout, but the default value is recursive
+        required: false
+        type: string
+        default: recursive
+      setup-miniconda:
+        description: Set to true if setup-miniconda is needed
+        required: false
+        type: boolean
+        default: true
+
+permissions:
+  id-token: write
+  contents: read
+
+jobs:
+  build:
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJSON(inputs.build-matrix) }}
+    env:
+      PYTHON_VERSION: ${{ matrix.python_version }}
+      PACKAGE_TYPE: wheel
+      REPOSITORY: ${{ inputs.repository }}
+      REF: ${{ inputs.ref }}
+      CU_VERSION: ${{ matrix.desired_cuda }}
+      UPLOAD_TO_BASE_BUCKET: ${{ matrix.upload_to_base_bucket }}
+      ARCH: ${{ inputs.architecture }}
+      TENSORRT_STRIP_PREFIX: ${{ matrix.tensorrt.strip_prefix }}
+      TENSORRT_VERSION: ${{ matrix.tensorrt.version }}
+      TENSORRT_URLS: ${{ matrix.tensorrt.urls }}
+      TENSORRT_SHA256: ${{ matrix.tensorrt.sha256 }}
+      UPLOAD_ARTIFACT_NAME: pytorch_tensorrt_${{ matrix.tensorrt.version }}_${{ matrix.python_version }}_${{ matrix.desired_cuda }}_${{ inputs.architecture }}
+    name: build_tensorrt${{ matrix.tensorrt.version }}_py${{matrix.python_version}}_${{matrix.desired_cuda}}
+    runs-on: ${{ matrix.validation_runner }}
+    container:
+      image: ${{ matrix.container_image }}
+      options: ${{ matrix.gpu_arch_type == 'cuda' && '--gpus all' || ' ' }}
+    # If a build is taking longer than 120 minutes on these runners we need
+    # to have a conversation
+    timeout-minutes: 120
+
+    steps:
+      - name: Clean workspace
+        shell: bash -l {0}
+        run: |
+          set -x
+          echo "::group::Cleanup debug output"
+          rm -rf "${GITHUB_WORKSPACE}"
+          mkdir -p "${GITHUB_WORKSPACE}"
+          if [[ "${{ inputs.architecture }}" = "aarch64" ]]; then
+            rm -rf "${RUNNER_TEMP}/*"
+          fi
+          echo "::endgroup::"
+      - uses: actions/checkout@v3
+        with:
+          # Support the use case where we need to checkout someone's fork
+          repository: ${{ inputs.test-infra-repository }}
+          ref: ${{ inputs.test-infra-ref }}
+          path: test-infra
+      - uses: actions/checkout@v3
+        if: ${{ env.ARCH == 'aarch64' }}
+        with:
+          # Support the use case where we need to checkout someone's fork
+          repository: "pytorch/builder"
+          ref: "main"
+          path: builder
+      - name: Set linux aarch64 CI
+        if: ${{ inputs.architecture == 'aarch64' }}
+        shell: bash -l {0}
+        env:
+          DESIRED_PYTHON: ${{ matrix.python_version }}
+        run: |
+          set +e
+          # TODO: This is temporary aarch64 setup script, this should be integrated into aarch64 docker.
+          ${GITHUB_WORKSPACE}/builder/aarch64_linux/aarch64_ci_setup.sh
+          echo "/opt/conda/bin" >> $GITHUB_PATH
+          set -e
+      - uses: ./test-infra/.github/actions/set-channel
+      - name: Set PYTORCH_VERSION
+        if: ${{ env.CHANNEL == 'test' }}
+        run: |
+          # When building RC, set the version to be the current candidate version,
+          # otherwise, leave it alone so nightly will pick up the latest
+          echo "PYTORCH_VERSION=${{ matrix.stable_version }}" >> "${GITHUB_ENV}"
+      - uses: ./test-infra/.github/actions/setup-binary-builds
+        env:
+          PLATFORM: ${{ inputs.architecture == 'aarch64'  && 'linux-aarch64' || ''}}
+        with:
+          repository: ${{ inputs.repository }}
+          ref: ${{ inputs.ref }}
+          submodules: ${{ inputs.submodules }}
+          setup-miniconda: ${{ inputs.setup-miniconda }}
+          python-version: ${{ env.PYTHON_VERSION }}
+          cuda-version: ${{ env.CU_VERSION }}
+          arch: ${{ env.ARCH }}
+      - name: Combine Env Var and Build Env Files
+        if: ${{ inputs.env-var-script != '' }}
+        working-directory: ${{ inputs.repository }}
+        shell: bash -l {0}
+        run: |
+          cat "${{ inputs.env-var-script }}" >> "${BUILD_ENV_FILE}"
+      - name: Install torch dependency
+        shell: bash -l {0}
+        run: |
+          set -x
+          # shellcheck disable=SC1090
+          source "${BUILD_ENV_FILE}"
+          # shellcheck disable=SC2086
+          ${CONDA_RUN} ${PIP_INSTALL_TORCH}
+      - name: Run Pre-Script with Caching
+        if: ${{ inputs.pre-script != '' }}
+        uses: ./test-infra/.github/actions/run-script-with-cache
+        with:
+          cache-path: ${{ inputs.cache-path }}
+          cache-key: ${{ inputs.cache-key }}
+          repository: ${{ inputs.repository  }}
+          script: ${{ inputs.pre-script }}
+      - name: Build clean
+        working-directory: ${{ inputs.repository }}
+        shell: bash -l {0}
+        run: |
+          set -x
+          source "${BUILD_ENV_FILE}"
+          ${CONDA_RUN} python setup.py clean
+      - name: Build the wheel (bdist_wheel)
+        working-directory: ${{ inputs.repository }}
+        shell: bash -l {0}
+        run: |
+          set -x
+          source "${BUILD_ENV_FILE}"
+          ${CONDA_RUN} python setup.py bdist_wheel
+
+      - name: Run Post-Script
+        if: ${{ inputs.post-script != '' }}
+        uses: ./test-infra/.github/actions/run-script-with-cache
+        with:
+          repository: ${{ inputs.repository  }}
+          script: ${{ inputs.post-script }}
+      - name: Smoke Test
+        shell: bash -l {0}
+        env:
+          PACKAGE_NAME: ${{ inputs.package-name }}
+          SMOKE_TEST_SCRIPT: ${{ inputs.smoke-test-script }}
+        run: |
+          set -x
+          source "${BUILD_ENV_FILE}"
+          # TODO: add smoke test for the auditwheel tarball built
+
+      # NB: Only upload to GitHub after passing smoke tests
+      - name: Upload wheel to GitHub
+        continue-on-error: true
+        uses: actions/upload-artifact@v3
+        with:
+          name: ${{ env.UPLOAD_ARTIFACT_NAME }}
+          path: ${{ inputs.repository }}/dist
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ inputs.repository }}-${{ github.event_name == 'workflow_dispatch' }}-${{ inputs.job-name }}
+  cancel-in-progress: true
\ No newline at end of file
diff --git a/.github/workflows/build-tensorrt-windows.yml b/.github/workflows/build-tensorrt-windows.yml
new file mode 100644
index 0000000000..4b86910768
--- /dev/null
+++ b/.github/workflows/build-tensorrt-windows.yml
@@ -0,0 +1,229 @@
+name: Build Torch-TensorRT wheel on Windows with Future TensorRT Versions
+
+on:
+  workflow_call:
+    inputs:
+      repository:
+        description: 'Repository to checkout, defaults to ""'
+        default: ""
+        type: string
+      ref:
+        description: 'Reference to checkout, defaults to "nightly"'
+        default: "nightly"
+        type: string
+      test-infra-repository:
+        description: "Test infra repository to use"
+        default: "pytorch/test-infra"
+        type: string
+      test-infra-ref:
+        description: "Test infra reference to use"
+        default: ""
+        type: string
+      build-matrix:
+        description: "Build matrix to utilize"
+        default: ""
+        type: string
+      pre-script:
+        description: "Pre script to run prior to build"
+        default: ""
+        type: string
+      env-script:
+        description: "Script to setup environment variables for the build"
+        default: ""
+        type: string
+      wheel-build-params:
+        description: "Additional parameters for bdist_wheel"
+        default: ""
+        type: string
+      post-script:
+        description: "Post script to run prior to build"
+        default: ""
+        type: string
+      smoke-test-script:
+        description: "Script for Smoke Test for a specific domain"
+        default: ""
+        type: string
+      package-name:
+        description: "Name of the actual python package that is imported"
+        default: ""
+        type: string
+      trigger-event:
+        description: "Trigger Event in caller that determines whether or not to upload"
+        default: ""
+        type: string
+      cache-path:
+        description: "The path(s) on the runner to cache or restore. The path is relative to repository."
+        default: ""
+        type: string
+      cache-key:
+        description: "The key created when saving a cache and the key used to search for a cache."
+        default: ""
+        type: string
+      submodules:
+        description: "Works as stated in actions/checkout, but the default value is recursive"
+        required: false
+        type: string
+        default: recursive
+      timeout:
+        description: 'Timeout for the job (in minutes)'
+        default: 60
+        type: number
+
+permissions:
+  id-token: write
+  contents: read
+
+jobs:
+  build:
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJSON(inputs.build-matrix) }}
+    env:
+      PYTHON_VERSION: ${{ matrix.python_version }}
+      PACKAGE_TYPE: wheel
+      REPOSITORY: ${{ inputs.repository }}
+      REF: ${{ inputs.ref }}
+      CU_VERSION: ${{ matrix.desired_cuda }}
+      UPLOAD_TO_BASE_BUCKET: ${{ matrix.upload_to_base_bucket }}
+      ARCH: win_amd64
+      TENSORRT_STRIP_PREFIX: ${{ matrix.tensorrt.strip_prefix }}
+      TENSORRT_VERSION: ${{ matrix.tensorrt.version }}
+      TENSORRT_URLS: ${{ matrix.tensorrt.urls }}
+      TENSORRT_SHA256: ${{ matrix.tensorrt.sha256 }}
+      UPLOAD_ARTIFACT_NAME: pytorch_tensorrt_${{ matrix.tensorrt.version }}_${{ matrix.python_version }}_${{ matrix.desired_cuda }}_win_amd64
+    name: build_tensorrt${{ matrix.tensorrt.version }}_py${{matrix.python_version}}_${{matrix.desired_cuda}}
+    runs-on: ${{ matrix.validation_runner }}
+    defaults:
+      run:
+        shell: bash -l {0}
+    # If a build is taking longer than 60 minutes on these runners we need
+    # to have a conversation
+    timeout-minutes: 120
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          # Support the use case where we need to checkout someone's fork
+          repository: ${{ inputs.test-infra-repository }}
+          ref: ${{ inputs.test-infra-ref }}
+          path: test-infra
+      - uses: ./test-infra/.github/actions/setup-ssh
+        name: Setup SSH
+        with:
+          github-secret: ${{ secrets.GITHUB_TOKEN }}
+          activate-with-label: false
+          instructions: "SSH with rdesktop using ssh -L 3389:localhost:3389 %%username%%@%%hostname%%"
+      - name: Add Conda scripts to GitHub path
+        run: |
+          echo "C:/Jenkins/Miniconda3/Scripts" >> $GITHUB_PATH
+      - uses: ./test-infra/.github/actions/set-channel
+      - name: Set PYTORCH_VERSION
+        if: ${{ env.CHANNEL == 'test' }}
+        run: |
+          # When building RC, set the version to be the current candidate version,
+          # otherwise, leave it alone so nightly will pick up the latest
+          echo "PYTORCH_VERSION=${{ matrix.stable_version }}" >> "${GITHUB_ENV}"
+      - uses: ./test-infra/.github/actions/setup-binary-builds
+        with:
+          repository: ${{ inputs.repository }}
+          ref: ${{ inputs.ref }}
+          submodules: ${{ inputs.submodules }}
+          setup-miniconda: false
+          python-version: ${{ env.PYTHON_VERSION }}
+          cuda-version: ${{ env.CU_VERSION }}
+          arch: ${{ env.ARCH }}
+      - name: Install XPU support package
+        if: ${{ matrix.gpu_arch_type == 'xpu' }}
+        run: |
+          cmd //c .\\test-infra\\.github\\scripts\\install_xpu.bat
+      - name: Install torch dependency
+        run: |
+          source "${BUILD_ENV_FILE}"
+          # shellcheck disable=SC2086
+          ${CONDA_RUN} ${PIP_INSTALL_TORCH}
+      - name: Run Pre-Script with Caching
+        if: ${{ inputs.pre-script != '' }}
+        uses: ./test-infra/.github/actions/run-script-with-cache
+        with:
+          cache-path: ${{ inputs.cache-path }}
+          cache-key: ${{ inputs.cache-key }}
+          repository: ${{ inputs.repository  }}
+          script: ${{ inputs.pre-script }}
+          is_windows: 'enabled'
+      - name: Build clean
+        working-directory: ${{ inputs.repository }}
+        env:
+          ENV_SCRIPT: ${{ inputs.env-script }}
+        run: |
+          source "${BUILD_ENV_FILE}"
+          if [[ -z "${ENV_SCRIPT}" ]]; then
+            ${CONDA_RUN} python setup.py clean
+          else
+            if [[ ! -f ${ENV_SCRIPT} ]]; then
+              echo "::error::Specified env-script file (${ENV_SCRIPT}) not found"
+              exit 1
+            else
+              ${CONDA_RUN} ${ENV_SCRIPT} python setup.py clean
+            fi
+          fi
+      - name: Build the wheel (bdist_wheel)
+        working-directory: ${{ inputs.repository }}
+        env:
+          ENV_SCRIPT: ${{ inputs.env-script }}
+          BUILD_PARAMS: ${{ inputs.wheel-build-params }}
+        run: |
+          source "${BUILD_ENV_FILE}"
+
+          if [[ "$CU_VERSION" == "cpu" ]]; then
+          # CUDA and CPU are ABI compatible on the CPU-only parts, so strip
+          # in this case
+            export PYTORCH_VERSION="$(${CONDA_RUN} pip show torch | grep ^Version: | sed 's/Version:  *//' | sed 's/+.\+//')"
+          else
+            export PYTORCH_VERSION="$(${CONDA_RUN} pip show torch | grep ^Version: | sed 's/Version:  *//')"
+          fi
+
+          if [[ -z "${ENV_SCRIPT}" ]]; then
+            ${CONDA_RUN} python setup.py bdist_wheel
+          else
+            ${CONDA_RUN} ${ENV_SCRIPT} python setup.py bdist_wheel ${BUILD_PARAMS}
+          fi
+      - name: Run post-script
+        working-directory: ${{ inputs.repository }}
+        env:
+          POST_SCRIPT: ${{ inputs.post-script }}
+          ENV_SCRIPT: ${{ inputs.env-script }}
+        if: ${{ inputs.post-script != '' }}
+        run: |
+          set -euxo pipefail
+          source "${BUILD_ENV_FILE}"
+          ${CONDA_RUN} ${ENV_SCRIPT} ${POST_SCRIPT}
+      - name: Smoke Test
+        env:
+          ENV_SCRIPT: ${{ inputs.env-script }}
+          PACKAGE_NAME: ${{ inputs.package-name }}
+          SMOKE_TEST_SCRIPT: ${{ inputs.smoke-test-script }}
+        run: |
+          source "${BUILD_ENV_FILE}"
+          WHEEL_NAME=$(ls "${{ inputs.repository }}/dist/")
+          echo "$WHEEL_NAME"
+          ${CONDA_RUN} pip install "${{ inputs.repository }}/dist/$WHEEL_NAME"
+          if [[ ! -f "${{ inputs.repository }}"/${SMOKE_TEST_SCRIPT} ]]; then
+            echo "${{ inputs.repository }}/${SMOKE_TEST_SCRIPT} not found"
+            ${CONDA_RUN} "${{ inputs.repository }}/${ENV_SCRIPT}" python -c "import ${PACKAGE_NAME}; print('package version is ', ${PACKAGE_NAME}.__version__)"
+          else
+            echo "${{ inputs.repository }}/${SMOKE_TEST_SCRIPT} found"
+            ${CONDA_RUN} "${{ inputs.repository }}/${ENV_SCRIPT}" python "${{ inputs.repository }}/${SMOKE_TEST_SCRIPT}"
+          fi
+      # NB: Only upload to GitHub after passing smoke tests
+      - name: Upload wheel to GitHub
+        continue-on-error: true
+        uses: actions/upload-artifact@v3
+        with:
+          name: ${{ env.UPLOAD_ARTIFACT_NAME }}
+          path: ${{ inputs.repository }}/dist/
+      - uses: ./test-infra/.github/actions/teardown-windows
+        if: always()
+        name: Teardown Windows
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ inputs.repository }}-${{ github.event_name == 'workflow_dispatch' }}-${{ inputs.job-name }}
+  cancel-in-progress: true
\ No newline at end of file
diff --git a/.github/workflows/build-test-linux.yml b/.github/workflows/build-test-linux.yml
index c462069d61..a660fc4ef2 100644
--- a/.github/workflows/build-test-linux.yml
+++ b/.github/workflows/build-test-linux.yml
@@ -196,6 +196,7 @@ jobs:
         pushd .
         cd tests/py/dynamo
         python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/export_serde_test_results.xml --ir dynamo models/test_export_serde.py
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/reexport_test_results.xml --ir dynamo models/test_reexport.py
         popd
 
   tests-py-torch-compile-be:
diff --git a/.github/workflows/build-test-tensorrt-linux.yml b/.github/workflows/build-test-tensorrt-linux.yml
new file mode 100644
index 0000000000..3f4abb9add
--- /dev/null
+++ b/.github/workflows/build-test-tensorrt-linux.yml
@@ -0,0 +1,317 @@
+name: Build and Test Torch-TensorRT on Linux with Future TensorRT Versions
+
+on:
+  workflow_dispatch:
+
+permissions:
+  id-token: write
+  contents: read
+  packages: write
+
+jobs:
+  generate-matrix:
+    uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
+    with:
+      package-type: wheel
+      os: linux
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      with-rocm: false
+      with-cpu: false
+
+  generate-tensorrt-matrix:
+    needs: [generate-matrix]
+    outputs:
+      matrix: ${{ steps.generate.outputs.matrix }}
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - uses: actions/checkout@v3
+        with:
+          repository: pytorch/tensorrt
+      - name: Generate tensorrt matrix
+        id: generate
+        run: |
+          set -eou pipefail
+          MATRIX_BLOB=${{ toJSON(needs.generate-matrix.outputs.matrix) }}
+          MATRIX_BLOB="$(python3 .github/scripts/generate-tensorrt-test-matrix.py --matrix "${MATRIX_BLOB}")"
+          echo "${MATRIX_BLOB}"
+          echo "matrix=${MATRIX_BLOB}" >> "${GITHUB_OUTPUT}"
+
+  build:
+    needs: [generate-tensorrt-matrix]
+    name: Build torch-tensorrt whl package
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            pre-script: packaging/pre_build_script.sh
+            env-var-script: packaging/env_vars.txt
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/build-tensorrt-linux.yml
+    with:
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      env-var-script: ${{ matrix.env-var-script }}
+      post-script: ${{ matrix.post-script }}
+      package-name: ${{ matrix.package-name }}
+      smoke-test-script: ${{ matrix.smoke-test-script }}
+      trigger-event: ${{ github.event_name }}
+
+  tests-py-torchscript-fe:
+    name: Test torchscript frontend [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-torchscript-fe
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        export LD_LIBRARY_PATH=/usr/lib64:$LD_LIBRARY_PATH
+        pushd .
+        cd tests/modules
+        python hub.py
+        popd
+        pushd .
+        cd tests/py/ts
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/ts_api_test_results.xml api/
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/ts_models_test_results.xml models/
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/ts_integrations_test_results.xml integrations/
+        popd
+
+  tests-py-dynamo-converters:
+    name: Test dynamo converters [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-dynamo-converters
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/dynamo_converters_test_results.xml -n 8 conversion/
+        popd
+
+  tests-py-dynamo-fe:
+    name: Test dynamo frontend [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-dynamo-fe
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/dyn_models_export.xml --ir dynamo models/
+        popd
+
+  tests-py-dynamo-serde:
+    name: Test dynamo export serde [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-dynamo-serde
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/export_serde_test_results.xml --ir dynamo models/test_export_serde.py
+        popd
+
+  tests-py-torch-compile-be:
+    name: Test torch compile backend [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-torch-compile-be
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra -n 10 --junitxml=${RUNNER_TEST_RESULTS_DIR}/torch_compile_be_test_results.xml backend/
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/torch_complete_be_e2e_test_results.xml --ir torch_compile models/test_models.py
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/torch_compile_dyn_models_export.xml --ir torch_compile models/test_dyn_models.py
+        popd
+
+  tests-py-dynamo-core:
+    name: Test dynamo core [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-dynamo-core
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_runtime_test_results.xml  --ignore runtime/test_002_cudagraphs_py.py --ignore runtime/test_002_cudagraphs_cpp.py runtime/
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_partitioning_test_results.xml partitioning/
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_lowering_test_results.xml lowering/
+        popd
+
+  tests-py-dynamo-cudagraphs:
+    name: Test dynamo cudagraphs [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-dynamo-cudagraphs
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        nvidia-smi
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_runtime_cudagraphs_cpp_test_results.xml runtime/test_002_cudagraphs_cpp.py || true
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_runtime_cudagraphs_py_test_results.xml runtime/test_002_cudagraphs_py.py || true
+        popd
+
+  tests-py-core:
+    name: Test core [Python]
+    needs: [generate-tensorrt-matrix, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+            pre-script: packaging/pre_build_script.sh
+            post-script: packaging/post_build_script.sh
+            smoke-test-script: packaging/smoke_test_script.sh
+    uses: ./.github/workflows/linux-test.yml
+    with:
+      job-name: tests-py-core
+      repository: "pytorch/tensorrt"
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.generate-tensorrt-matrix.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/core
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_core_test_results.xml .
+        popd
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ inputs.repository }}-${{ github.event_name == 'workflow_dispatch' }}-${{ inputs.job-name }}
+  cancel-in-progress: true
\ No newline at end of file
diff --git a/.github/workflows/build-test-tensorrt-windows.yml b/.github/workflows/build-test-tensorrt-windows.yml
new file mode 100644
index 0000000000..b6eb1d765c
--- /dev/null
+++ b/.github/workflows/build-test-tensorrt-windows.yml
@@ -0,0 +1,301 @@
+name: Build and Test Torch-TensorRT on Windows with Future TensorRT Versions
+
+on:
+  workflow_dispatch:
+
+permissions:
+  id-token: write
+  contents: read
+  packages: write
+
+jobs:
+  generate-matrix:
+    uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
+    with:
+      package-type: wheel
+      os: windows
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      with-rocm: false
+      with-cpu: false
+
+  generate-tensorrt-matrix:
+    needs: [generate-matrix]
+    outputs:
+      matrix: ${{ steps.generate.outputs.matrix }}
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/setup-python@v4
+        with:
+          python-version: '3.10'
+      - uses: actions/checkout@v3
+        with:
+          repository: pytorch/tensorrt
+      - name: Generate tensorrt matrix
+        id: generate
+        run: |
+          set -eou pipefail
+          MATRIX_BLOB=${{ toJSON(needs.generate-matrix.outputs.matrix) }}
+          MATRIX_BLOB="$(python3 .github/scripts/generate-tensorrt-test-matrix.py --matrix "${MATRIX_BLOB}")"
+          echo "${MATRIX_BLOB}"
+          echo "matrix=${MATRIX_BLOB}" >> "${GITHUB_OUTPUT}"
+
+  substitute-runner:
+    needs: generate-tensorrt-matrix
+    outputs:
+      matrix: ${{ steps.substitute.outputs.matrix }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Substitute runner
+        id: substitute
+        run: |
+          echo matrix="$(echo '${{ needs.generate-tensorrt-matrix.outputs.matrix }}' | sed -e 's/windows.g4dn.xlarge/windows.g5.4xlarge.nvidia.gpu/g')" >> ${GITHUB_OUTPUT}
+
+  build:
+    needs: substitute-runner
+    name: Build torch-tensorrt whl package
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            pre-script: packaging/pre_build_script_windows.sh
+            env-script: packaging/vc_env_helper.bat
+            smoke-test-script: packaging/smoke_test_windows.py
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/build-tensorrt-windows.yml
+    with:
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: ${{ matrix.pre-script }}
+      env-script: ${{ matrix.env-script }}
+      smoke-test-script: ${{ matrix.smoke-test-script }}
+      package-name: ${{ matrix.package-name }}
+      trigger-event: ${{ github.event_name }}
+      timeout: 120
+
+  tests-py-torchscript-fe:
+    name: Test torchscript frontend [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-torchscript-fe
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/modules
+        python hub.py
+        popd
+        pushd .
+        cd tests/py/ts
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/ts_api_test_results.xml api/
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/ts_models_test_results.xml models/
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/ts_integrations_test_results.xml integrations/
+        popd
+
+  tests-py-dynamo-converters:
+    name: Test dynamo converters [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-dynamo-converters
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/dynamo_converters_test_results.xml -n 8 conversion/
+        popd
+
+  tests-py-dynamo-fe:
+    name: Test dynamo frontend [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-dynamo-fe
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/dyn_models_export.xml --ir dynamo models/
+        popd
+
+  tests-py-dynamo-serde:
+    name: Test dynamo export serde [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-dynamo-serde
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/export_serde_test_results.xml --ir dynamo models/test_export_serde.py
+        popd
+
+  tests-py-torch-compile-be:
+    name: Test torch compile backend [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-torch-compile-be
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra -n 10 --junitxml=${RUNNER_TEST_RESULTS_DIR}/torch_compile_be_test_results.xml backend/
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/torch_complete_be_e2e_test_results.xml --ir torch_compile models/test_models.py
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/torch_compile_dyn_models_export.xml --ir torch_compile models/test_dyn_models.py
+        popd
+
+  tests-py-dynamo-core:
+    name: Test dynamo core [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-dynamo-core
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_runtime_test_results.xml --ignore runtime/test_002_cudagraphs_py.py --ignore runtime/test_002_cudagraphs_cpp.py runtime/
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_partitioning_test_results.xml partitioning/
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_lowering_test_results.xml lowering/
+        popd
+
+  tests-py-dynamo-cudagraphs:
+    name: Test dynamo cudagraphs [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-dynamo-cudagraphs
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/dynamo
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_runtime_cudagraphs_cpp_test_results.xml runtime/test_002_cudagraphs_cpp.py
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_dynamo_core_runtime_cudagraphs_py_test_results.xml runtime/test_002_cudagraphs_py.py
+        popd
+
+  tests-py-core:
+    name: Test core [Python]
+    needs: [substitute-runner, build]
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - repository: pytorch/tensorrt
+            package-name: torch_tensorrt
+    uses: ./.github/workflows/windows-test.yml
+    with:
+      job-name: tests-py-core
+      repository: ${{ matrix.repository }}
+      ref: ""
+      test-infra-repository: pytorch/test-infra
+      test-infra-ref: main
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
+      pre-script: packaging/driver_upgrade.bat
+      script: |
+        export USE_HOST_DEPS=1
+        export CI_BUILD=1
+        pushd .
+        cd tests/py/core
+        python -m pytest -ra -n 4 --junitxml=${RUNNER_TEST_RESULTS_DIR}/tests_py_core_test_results.xml .
+        popd
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ inputs.repository }}-${{ github.event_name == 'workflow_dispatch' }}-${{ inputs.job-name }}
+  cancel-in-progress: true
\ No newline at end of file
diff --git a/.github/workflows/build-test-windows.yml b/.github/workflows/build-test-windows.yml
index c926b929ef..0201ab5ff2 100644
--- a/.github/workflows/build-test-windows.yml
+++ b/.github/workflows/build-test-windows.yml
@@ -66,7 +66,7 @@ jobs:
 
   tests-py-torchscript-fe:
     name: Test torchscript frontend [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -80,7 +80,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -98,7 +98,7 @@ jobs:
 
   tests-py-dynamo-converters:
     name: Test dynamo converters [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -112,7 +112,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -124,7 +124,7 @@ jobs:
 
   tests-py-dynamo-fe:
     name: Test dynamo frontend [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -138,7 +138,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -150,7 +150,7 @@ jobs:
 
   tests-py-dynamo-serde:
     name: Test dynamo export serde [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -164,7 +164,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -172,11 +172,12 @@ jobs:
         pushd .
         cd tests/py/dynamo
         python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/export_serde_test_results.xml --ir dynamo models/test_export_serde.py
+        python -m pytest -ra --junitxml=${RUNNER_TEST_RESULTS_DIR}/reexport_test_results.xml --ir dynamo models/test_reexport.py
         popd
 
   tests-py-torch-compile-be:
     name: Test torch compile backend [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -190,7 +191,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -204,7 +205,7 @@ jobs:
 
   tests-py-dynamo-core:
     name: Test dynamo core [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -218,7 +219,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -232,7 +233,7 @@ jobs:
 
   tests-py-dynamo-cudagraphs:
     name: Test dynamo cudagraphs [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -246,7 +247,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
@@ -259,7 +260,7 @@ jobs:
 
   tests-py-core:
     name: Test core [Python]
-    needs: [generate-matrix, build]
+    needs: [substitute-runner, build]
     strategy:
       fail-fast: false
       matrix:
@@ -273,7 +274,7 @@ jobs:
       ref: ""
       test-infra-repository: pytorch/test-infra
       test-infra-ref: main
-      build-matrix: ${{ needs.generate-matrix.outputs.matrix }}
+      build-matrix: ${{ needs.substitute-runner.outputs.matrix }}
       pre-script: packaging/driver_upgrade.bat
       script: |
         export USE_HOST_DEPS=1
diff --git a/.github/workflows/linux-test.yml b/.github/workflows/linux-test.yml
index 7b8a826453..6ddc601f2c 100644
--- a/.github/workflows/linux-test.yml
+++ b/.github/workflows/linux-test.yml
@@ -68,7 +68,8 @@ jobs:
       SCRIPT: ${{ inputs.script }}
       RUNNER_TEST_RESULTS_DIR: /tmp/test_results
       ARCH: ${{ inputs.architecture }}
-    name: ${{ inputs.job-name }}-${{ matrix.desired_cuda }}
+      DOWNLOAD_ARTIFACT_NAME: pytorch_tensorrt_${{ matrix.tensorrt.version }}_${{ matrix.python_version }}_${{ matrix.desired_cuda }}_${{ inputs.architecture }}
+    name: ${{ inputs.job-name }}-${{ matrix.tensorrt.version }}-${{ matrix.python_version }}-${{ matrix.desired_cuda }}
     runs-on: ${{ matrix.validation_runner }}
     container:
       image: ${{ matrix.container_image }}
@@ -112,10 +113,17 @@ jobs:
           repository: ${{ inputs.repository  }}
           script: ${{ inputs.pre-script }}
       - name: Download artifacts
+        if: ${{ matrix.tensorrt == '' }}
         uses: actions/download-artifact@v3
         with:
           name: ${{ env.ARTIFACT_NAME }}
           path: /opt/torch-tensorrt-builds/
+      - name: Download artifacts
+        if: ${{ matrix.tensorrt != '' }}
+        uses: actions/download-artifact@v3
+        with:
+          name: ${{ env.DOWNLOAD_ARTIFACT_NAME }}
+          path: /opt/torch-tensorrt-builds/
       # - name: Install torch and torch-tensorrt
       #   if: ${{ inputs.pre-script != '' }}
       #   uses: ./test-infra/.github/actions/run-script-with-cache
diff --git a/.github/workflows/windows-test.yml b/.github/workflows/windows-test.yml
index 6d1d64ad96..13feedfa8c 100644
--- a/.github/workflows/windows-test.yml
+++ b/.github/workflows/windows-test.yml
@@ -53,8 +53,9 @@ jobs:
       CU_VERSION: ${{ matrix.desired_cuda }}
       SCRIPT: ${{ inputs.script }}
       PYTHONUTF8: 1
-    name: ${{ inputs.job-name }}-${{ matrix.desired_cuda }}
-    runs-on: windows.8xlarge.nvidia.gpu.nonephemeral
+      DOWNLOAD_ARTIFACT_NAME: pytorch_tensorrt_${{ matrix.tensorrt.version }}_${{ matrix.python_version }}_${{ matrix.desired_cuda }}_win_amd64
+    name: ${{ inputs.job-name }}-${{ matrix.tensorrt.version }}-${{ matrix.python_version }}-${{ matrix.desired_cuda }}
+    runs-on: ${{ matrix.validation_runner }}
     defaults:
       run:
         shell: bash -l {0}
@@ -103,10 +104,17 @@ jobs:
           script: ${{ inputs.pre-script }}
           is_windows: 'enabled'
       - name: Download artifacts
+        if: ${{ matrix.tensorrt == '' }}
         uses: actions/download-artifact@v3
         with:
           name: ${{ env.ARTIFACT_NAME }}
           path: ${{ runner.temp }}/artifacts/
+      - name: Download artifacts
+        if: ${{ matrix.tensorrt != '' }}
+        uses: actions/download-artifact@v3
+        with:
+          name: ${{ env.DOWNLOAD_ARTIFACT_NAME }}
+          path: ${{ runner.temp }}/artifacts/
       - name: Pack script
         continue-on-error: ${{ inputs.continue-on-error }}
         working-directory: ${{ inputs.repository }}
diff --git a/core/runtime/TRTEngine.cpp b/core/runtime/TRTEngine.cpp
index adc21bd496..5a5c1ad83d 100644
--- a/core/runtime/TRTEngine.cpp
+++ b/core/runtime/TRTEngine.cpp
@@ -8,6 +8,7 @@
 
 #include "core/runtime/runtime.h"
 #include "core/util/prelude.h"
+#include "torch/torch.h"
 
 namespace torch_tensorrt {
 namespace core {
@@ -253,6 +254,28 @@ std::string TRTEngine::get_engine_layer_info() {
   return inspector->getEngineInformation(nvinfer1::LayerInformationFormat::kJSON);
 }
 
+std::vector<at::Tensor> TRTEngine::infer_outputs(std::vector<std::vector<int64_t>> input_shapes) {
+  std::vector<at::Tensor> outputs;
+  TORCHTRT_CHECK(
+      (in_binding_names.size() == input_shapes.size()),
+      "The number of input shapes provided doesn't match with the number of input names registered.");
+  // Set all input shapes
+  for (size_t i = 0; i < input_shapes.size(); i++) {
+    exec_ctx->setInputShape(in_binding_names[i].c_str(), core::util::toDims(input_shapes[i]));
+  }
+  for (size_t i = 0; i < out_binding_names.size(); i++) {
+    auto output_shape = core::util::toVec(exec_ctx->getTensorShape(out_binding_names[i].c_str()));
+    auto output_dtype =
+        core::util::TRTDataTypeToScalarType(cuda_engine->getTensorDataType(out_binding_names[i].c_str()));
+    auto output_tensor = torch::empty(output_shape, torch::dtype(output_dtype));
+    outputs.push_back(output_tensor);
+  }
+  TORCHTRT_CHECK(
+      (out_binding_names.size() == outputs.size()),
+      "The number of output shapes inferred doesn't match with the number of output names registered.");
+  return outputs;
+}
+
 void TRTEngine::set_profiling_paths() {
   device_profile_path =
       std::filesystem::path{profile_path_prefix + "/" + name + "_device_config_profile.trace"}.string();
@@ -354,6 +377,45 @@ void TRTEngine::verify_serialization_fmt(const std::vector<std::string>& seriali
           << ")");
 }
 
+FlattenedState TRTEngine::__obj_flatten__() {
+  // This method would be called by meta kernel of this custom class and it only needs to return a tuple
+  std::vector<std::string> serialized_info = this->serialize();
+
+  return std::tuple(
+      std::tuple("version", serialized_info[ABI_TARGET_IDX]),
+      std::tuple("name", serialized_info[NAME_IDX]),
+      std::tuple("device_info", serialized_info[DEVICE_IDX]),
+      std::tuple("serialized_engine", serialized_info[ENGINE_IDX]),
+      std::tuple("in_binding_names", serialized_info[INPUT_BINDING_NAMES_IDX]),
+      std::tuple("out_binding_names", serialized_info[OUTPUT_BINDING_NAMES_IDX]),
+      std::tuple("hardware_compatible", serialized_info[HW_COMPATIBLE_IDX]),
+      std::tuple("serialized_metadata", serialized_info[SERIALIZED_METADATA_IDX]),
+      std::tuple("target_platform", serialized_info[TARGET_PLATFORM_IDX]));
+}
+
+std::vector<std::string> TRTEngine::serialize() {
+  // Serialize TensorRT engine
+  auto serialized_trt_engine = make_trt(this->cuda_engine->serialize());
+
+  // Adding device info related meta data to the serialized file
+  auto trt_engine = std::string((const char*)serialized_trt_engine->data(), serialized_trt_engine->size());
+
+  std::vector<std::string> serialized_info;
+  serialized_info.resize(SERIALIZATION_LEN);
+
+  serialized_info[ABI_TARGET_IDX] = ABI_VERSION;
+  serialized_info[NAME_IDX] = this->name;
+  serialized_info[DEVICE_IDX] = this->device_info.serialize();
+  serialized_info[ENGINE_IDX] = base64_encode(trt_engine);
+  serialized_info[INPUT_BINDING_NAMES_IDX] = serialize_bindings(this->in_binding_names);
+  serialized_info[OUTPUT_BINDING_NAMES_IDX] = serialize_bindings(this->out_binding_names);
+  serialized_info[HW_COMPATIBLE_IDX] = this->hardware_compatible ? "1" : "0";
+  serialized_info[SERIALIZED_METADATA_IDX] = this->serialized_metadata;
+  serialized_info[TARGET_PLATFORM_IDX] = this->target_platform.serialize();
+
+  return serialized_info;
+}
+
 } // namespace runtime
 } // namespace core
 } // namespace torch_tensorrt
diff --git a/core/runtime/TRTEngine.h b/core/runtime/TRTEngine.h
index 4895fd006e..88fb7ab275 100644
--- a/core/runtime/TRTEngine.h
+++ b/core/runtime/TRTEngine.h
@@ -19,6 +19,17 @@ namespace torch_tensorrt {
 namespace core {
 namespace runtime {
 
+using FlattenedState = std::tuple<
+    std::tuple<std::string, std::string>, // ABI_VERSION
+    std::tuple<std::string, std::string>, // name
+    std::tuple<std::string, std::string>, // device
+    std::tuple<std::string, std::string>, // engine
+    std::tuple<std::string, std::string>, // input binding names
+    std::tuple<std::string, std::string>, // output binding names
+    std::tuple<std::string, std::string>, // HW compatibility
+    std::tuple<std::string, std::string>, // serialized metadata
+    std::tuple<std::string, std::string>>; // Platform
+
 struct TRTEngine : torch::CustomClassHolder {
   // Each engine needs it's own runtime object
   std::shared_ptr<nvinfer1::IRuntime> rt;
@@ -69,15 +80,21 @@ struct TRTEngine : torch::CustomClassHolder {
   void enable_profiling();
   void disable_profiling();
   std::string get_engine_layer_info();
+
   void dump_engine_layer_info_to_file(const std::string& path);
   void dump_engine_layer_info();
   int64_t get_device_memory_budget();
   bool set_device_memory_budget(int64_t budget);
   int64_t get_streamable_device_memory_budget();
   int64_t get_automatic_device_memory_budget();
+  std::vector<at::Tensor> infer_outputs(std::vector<std::vector<int64_t>> input_shapes);
   friend std::ostream& operator<<(std::ostream& os, const TRTEngine& engine);
   static const char BINDING_DELIM = '%';
 
+  // Serde re-export functionality
+  FlattenedState __obj_flatten__();
+  std::vector<std::string> serialize();
+
   // CUDAGraph-Related Functionality
   at::cuda::CUDAGraph cudagraph = {};
   at::cuda::CUDAStream engine_stream = c10::cuda::getDefaultCUDAStream();
diff --git a/core/runtime/register_jit_hooks.cpp b/core/runtime/register_jit_hooks.cpp
index 1a0a371562..042bf085c8 100644
--- a/core/runtime/register_jit_hooks.cpp
+++ b/core/runtime/register_jit_hooks.cpp
@@ -7,7 +7,6 @@
 namespace torch_tensorrt {
 namespace core {
 namespace runtime {
-namespace {
 
 std::string serialize_bindings(const std::vector<std::string>& bindings) {
   std::stringstream ss;
@@ -66,6 +65,7 @@ std::string base64_decode(const std::string& in) {
   return out;
 }
 
+namespace {
 // TODO: Implement a call method
 // c10::List<at::Tensor> TRTEngine::Run(c10::List<at::Tensor> inputs) {
 //     auto input_vec = inputs.vec();
@@ -80,12 +80,14 @@ static auto TORCHTRT_UNUSED TRTEngineTSRegistrtion =
         // TODO: .def("run", &TRTEngine::Run)
         .def("__str__", &TRTEngine::to_str)
         .def("__repr__", &TRTEngine::to_str)
+        .def("__obj_flatten__", &TRTEngine::__obj_flatten__)
         .def("enable_profiling", &TRTEngine::enable_profiling)
         .def("disable_profiling", &TRTEngine::disable_profiling)
         .def_readwrite("profile_path_prefix", &TRTEngine::profile_path_prefix)
         .def("dump_engine_layer_info_to_file", &TRTEngine::dump_engine_layer_info_to_file)
         .def("dump_engine_layer_info", &TRTEngine::dump_engine_layer_info)
         .def("get_engine_layer_info", &TRTEngine::get_engine_layer_info)
+        .def("infer_outputs", &TRTEngine::infer_outputs)
         .def_property(
             "device_memory_budget",
             &TRTEngine::get_device_memory_budget,
@@ -93,30 +95,7 @@ static auto TORCHTRT_UNUSED TRTEngineTSRegistrtion =
         .def_property("streamable_device_memory_budget", &TRTEngine::get_streamable_device_memory_budget)
         .def_property("automatic_device_memory_budget", &TRTEngine::get_automatic_device_memory_budget)
         .def_pickle(
-            [](const c10::intrusive_ptr<TRTEngine>& self) -> std::vector<std::string> {
-              // Serialize TensorRT engine
-              auto serialized_trt_engine = make_trt(self->cuda_engine->serialize());
-
-              // Adding device info related meta data to the serialized file
-              auto trt_engine = std::string((const char*)serialized_trt_engine->data(), serialized_trt_engine->size());
-
-              std::vector<std::string> serialize_info;
-              serialize_info.resize(SERIALIZATION_LEN);
-
-              serialize_info[ABI_TARGET_IDX] = ABI_VERSION;
-              serialize_info[NAME_IDX] = self->name;
-              serialize_info[DEVICE_IDX] = self->device_info.serialize();
-              serialize_info[ENGINE_IDX] = base64_encode(trt_engine);
-              serialize_info[INPUT_BINDING_NAMES_IDX] = serialize_bindings(self->in_binding_names);
-              serialize_info[OUTPUT_BINDING_NAMES_IDX] = serialize_bindings(self->out_binding_names);
-              serialize_info[HW_COMPATIBLE_IDX] = self->hardware_compatible ? "1" : "0";
-              serialize_info[SERIALIZED_METADATA_IDX] = self->serialized_metadata;
-              serialize_info[TARGET_PLATFORM_IDX] = self->target_platform.serialize();
-              LOG_DEBUG("Serialized Hardware Compatibility: " << (self->hardware_compatible ? "Enabled" : "Disabled"));
-              LOG_DEBUG("Serialized Target Platform: " << self->target_platform);
-
-              return serialize_info;
-            },
+            [](const c10::intrusive_ptr<TRTEngine>& self) -> std::vector<std::string> { return self->serialize(); },
             [](std::vector<std::string> serialized_info) -> c10::intrusive_ptr<TRTEngine> {
               serialized_info[ENGINE_IDX] = base64_decode(serialized_info[ENGINE_IDX]);
               TRTEngine::verify_serialization_fmt(serialized_info);
@@ -124,7 +103,7 @@ static auto TORCHTRT_UNUSED TRTEngineTSRegistrtion =
             });
 
 TORCH_LIBRARY(tensorrt, m) {
-  m.def("execute_engine", execute_engine);
+  m.def("execute_engine(Tensor[] input_tensors, __torch__.torch.classes.tensorrt.Engine engine) -> Tensor[]");
   m.def("SERIALIZED_ENGINE_BINDING_DELIM", []() -> std::string { return std::string(1, TRTEngine::BINDING_DELIM); });
   m.def("SERIALIZED_RT_DEVICE_DELIM", []() -> std::string { return DEVICE_INFO_DELIM; });
   m.def("ABI_VERSION", []() -> std::string { return ABI_VERSION; });
@@ -171,6 +150,10 @@ TORCH_LIBRARY(tensorrt, m) {
   });
 }
 
+TORCH_LIBRARY_IMPL(tensorrt, CompositeExplicitAutograd, m) {
+  m.impl("execute_engine", execute_engine);
+}
+
 } // namespace
 } // namespace runtime
 } // namespace core
diff --git a/core/runtime/runtime.h b/core/runtime/runtime.h
index 90f1b6348f..86ba331796 100644
--- a/core/runtime/runtime.h
+++ b/core/runtime/runtime.h
@@ -33,6 +33,10 @@ typedef enum {
   SERIALIZATION_LEN, // NEVER USED FOR DATA, USED TO DETERMINE LENGTH OF SERIALIZED INFO
 } SerializedInfoIndex;
 
+std::string base64_encode(const std::string& in);
+std::string base64_decode(const std::string& in);
+std::string serialize_bindings(const std::vector<std::string>& bindings);
+
 c10::optional<RTDevice> get_most_compatible_device(
     const RTDevice& target_device,
     const RTDevice& curr_device = RTDevice(),
diff --git a/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html b/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html
index 4c9b150cee..90de48abb1 100644
--- a/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html
+++ b/docs/_cpp_api/classtorch__tensorrt_1_1DataType.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Class DataType &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Class DataType &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html b/docs/_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html
index e42c81fb1f..26cd9a2610 100644
--- a/docs/_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html
+++ b/docs/_cpp_api/classtorch__tensorrt_1_1Device_1_1DeviceType.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Class Device::DeviceType &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Class Device::DeviceType &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
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diff --git a/docs/_cpp_api/classtorch__tensorrt_1_1ptq_1_1Int8CacheCalibrator.html b/docs/_cpp_api/classtorch__tensorrt_1_1ptq_1_1Int8CacheCalibrator.html
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diff --git a/docs/_cpp_api/classtorch__tensorrt_1_1ptq_1_1Int8Calibrator.html b/docs/_cpp_api/classtorch__tensorrt_1_1ptq_1_1Int8Calibrator.html
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diff --git a/docs/_cpp_api/define_macros_8h_1a18d295a837ac71add5578860b55e5502.html b/docs/_cpp_api/define_macros_8h_1a18d295a837ac71add5578860b55e5502.html
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html b/docs/_cpp_api/define_macros_8h_1a282fd3c0b1c3a215148ae372070e1268.html
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-  <title>Define TORCH_TENSORRT_PATCH_VERSION &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html b/docs/_cpp_api/define_macros_8h_1a31398a6d4d27e28817afb0f0139e909e.html
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-  <title>Define TORCH_TENSORRT_MAJOR_VERSION &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html b/docs/_cpp_api/define_macros_8h_1a35703561b26b1a9d2738ad7d58b27827.html
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html b/docs/_cpp_api/define_macros_8h_1abd1465eb38256d3f22cc1426b23d516b.html
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@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html b/docs/_cpp_api/define_macros_8h_1abe87b341f562fd1cf40b7672e4d759da.html
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@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html b/docs/_cpp_api/define_macros_8h_1ad19939408f7be171a74a89928b36eb59.html
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-  <title>Define TORCHTRT_HIDDEN &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html b/docs/_cpp_api/define_macros_8h_1adad592a7b1b7eed529cdf6acd584c883.html
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-  <title>Define TORCH_TENSORRT_VERSION &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/dir_cpp.html b/docs/_cpp_api/dir_cpp.html
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diff --git a/docs/_cpp_api/dir_cpp_include.html b/docs/_cpp_api/dir_cpp_include.html
index 37e3e4845a..25c0645442 100644
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diff --git a/docs/_cpp_api/dir_cpp_include_torch_tensorrt.html b/docs/_cpp_api/dir_cpp_include_torch_tensorrt.html
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@@ -273,7 +273,7 @@
               
               
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diff --git a/docs/_cpp_api/enum_namespacetorch__tensorrt_1_1logging_1a130f65408ad8cbaee060f05e8db69558.html b/docs/_cpp_api/enum_namespacetorch__tensorrt_1_1logging_1a130f65408ad8cbaee060f05e8db69558.html
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/enum_namespacetorch__tensorrt_1a3fbe5d72e4fc624dbd038853079620eb.html b/docs/_cpp_api/enum_namespacetorch__tensorrt_1a3fbe5d72e4fc624dbd038853079620eb.html
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/file_cpp_include_torch_tensorrt_logging.h.html b/docs/_cpp_api/file_cpp_include_torch_tensorrt_logging.h.html
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@@ -273,7 +273,7 @@
               
               
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diff --git a/docs/_cpp_api/file_cpp_include_torch_tensorrt_macros.h.html b/docs/_cpp_api/file_cpp_include_torch_tensorrt_macros.h.html
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@@ -273,7 +273,7 @@
               
               
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diff --git a/docs/_cpp_api/file_cpp_include_torch_tensorrt_ptq.h.html b/docs/_cpp_api/file_cpp_include_torch_tensorrt_ptq.h.html
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@@ -273,7 +273,7 @@
               
               
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diff --git a/docs/_cpp_api/file_cpp_include_torch_tensorrt_torch_tensorrt.h.html b/docs/_cpp_api/file_cpp_include_torch_tensorrt_torch_tensorrt.h.html
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@@ -273,7 +273,7 @@
               
               
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a0593f776f469c20469e2f729fc7861a3.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a0593f776f469c20469e2f729fc7861a3.html
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@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a0c012cb374addd90eb1f42eaec570650.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a0c012cb374addd90eb1f42eaec570650.html
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-  <title>Function torch_tensorrt::logging::get_reportable_log_level &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
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@@ -275,7 +275,7 @@
               
               
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a56e110feaaba2c3fd44bd201fd21a76a.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a56e110feaaba2c3fd44bd201fd21a76a.html
index 34858cc656..e0d2b65c03 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::logging::get_is_colored_output_on &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::logging::get_is_colored_output_on &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a7cb50492421ea9de4e3db895819df6f2.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1a7cb50492421ea9de4e3db895819df6f2.html
index 3e96d0c478..2b38ad6ee9 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::logging::set_reportable_log_level &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::logging::set_reportable_log_level &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1ac46ac0901cb97e3ae6e93b45f24e90b8.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1ac46ac0901cb97e3ae6e93b45f24e90b8.html
index 701a77884e..05cd521268 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::logging::log &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::logging::log &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1ad2efd47b6c3689e58ccc595680579ae5.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1ad2efd47b6c3689e58ccc595680579ae5.html
index 2d18283ce2..8e1325ba45 100644
--- a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1ad2efd47b6c3689e58ccc595680579ae5.html
+++ b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1ad2efd47b6c3689e58ccc595680579ae5.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::logging::set_is_colored_output_on &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::logging::set_is_colored_output_on &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1af8f3443813315af7901903d25dd495cc.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1logging_1af8f3443813315af7901903d25dd495cc.html
index 99f55f3ebd..957e3edac0 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::logging::set_logging_prefix &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::logging::set_logging_prefix &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1ptq_1a226e3c83379d1012cde8578c1c86b16c.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1ptq_1a226e3c83379d1012cde8578c1c86b16c.html
index df76eab80e..83efbcb2b6 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Template Function torch_tensorrt::ptq::make_int8_cache_calibrator &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Template Function torch_tensorrt::ptq::make_int8_cache_calibrator &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1ptq_1a6186e305f47c1d94b6130ef6c7f7e178.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1ptq_1a6186e305f47c1d94b6130ef6c7f7e178.html
index db68a37e13..625597c69f 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Template Function torch_tensorrt::ptq::make_int8_calibrator &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Template Function torch_tensorrt::ptq::make_int8_calibrator &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a5b405fd3bf3c8fc2e2a54cbbab979797.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a5b405fd3bf3c8fc2e2a54cbbab979797.html
index d950afbed3..d5c4e933e6 100644
--- a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a5b405fd3bf3c8fc2e2a54cbbab979797.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::torchscript::check_method_operator_support &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::torchscript::check_method_operator_support &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a6e19490a08fb1553c9dd347a5ae79db9.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a6e19490a08fb1553c9dd347a5ae79db9.html
index b806653529..f1ef6118cf 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::torchscript::compile &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::torchscript::compile &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a81f9783517335dda877d8cfcf38987c9.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1a81f9783517335dda877d8cfcf38987c9.html
index 2acb2564e3..354f91638f 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::torchscript::embed_engine_in_new_module &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::torchscript::embed_engine_in_new_module &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1ae8d56472106eeef37fbe51ff7f40c9b2.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1_1torchscript_1ae8d56472106eeef37fbe51ff7f40c9b2.html
index cb59fbf7bf..61e6d1efc6 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::torchscript::convert_method_to_trt_engine &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::torchscript::convert_method_to_trt_engine &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1ac4ab8313ae72c2c899ea31548b528528.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1ac4ab8313ae72c2c899ea31548b528528.html
index 27592bd107..f611e19464 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::get_build_info &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::get_build_info &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1ad1acd06eaeaffbbcf6e7ebf426891384.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1ad1acd06eaeaffbbcf6e7ebf426891384.html
index e8e8ce14ad..3e5ebd2f6c 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::set_device &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::set_device &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/function_namespacetorch__tensorrt_1ad6a4ee8ca6c8f6e5519eb1128ec7f4a1.html b/docs/_cpp_api/function_namespacetorch__tensorrt_1ad6a4ee8ca6c8f6e5519eb1128ec7f4a1.html
index 9b3d6f4bfa..812690832b 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Function torch_tensorrt::dump_build_info &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Function torch_tensorrt::dump_build_info &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/namespace_torch_tensorrt.html b/docs/_cpp_api/namespace_torch_tensorrt.html
index 5372070109..c852ea6791 100644
--- a/docs/_cpp_api/namespace_torch_tensorrt.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Namespace torch_tensorrt &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Namespace torch_tensorrt &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/_cpp_api/namespace_torch_tensorrt__logging.html b/docs/_cpp_api/namespace_torch_tensorrt__logging.html
index 577e095035..356b9dd106 100644
--- a/docs/_cpp_api/namespace_torch_tensorrt__logging.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Namespace torch_tensorrt::logging &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Namespace torch_tensorrt::logging &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/namespace_torch_tensorrt__ptq.html b/docs/_cpp_api/namespace_torch_tensorrt__ptq.html
index 5ac5e0728f..2580aa140a 100644
--- a/docs/_cpp_api/namespace_torch_tensorrt__ptq.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Namespace torch_tensorrt::ptq &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Namespace torch_tensorrt::ptq &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/namespace_torch_tensorrt__torchscript.html b/docs/_cpp_api/namespace_torch_tensorrt__torchscript.html
index 90178a5e57..27cedca219 100644
--- a/docs/_cpp_api/namespace_torch_tensorrt__torchscript.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Namespace torch_tensorrt::torchscript &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Namespace torch_tensorrt::torchscript &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_logging.h.html b/docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_logging.h.html
index bd98ea6fd6..9d12e48dd8 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Program Listing for File logging.h &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Program Listing for File logging.h &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_macros.h.html b/docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_macros.h.html
index 8e0a05c96e..43b3dd2070 100644
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@@ -10,7 +10,7 @@
 
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-  <title>Program Listing for File macros.h &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Program Listing for File macros.h &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
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diff --git a/docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_ptq.h.html b/docs/_cpp_api/program_listing_file_cpp_include_torch_tensorrt_ptq.h.html
index 521f1ddca9..3e5d004e9b 100644
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+  <title>torch_tensorrt.logging &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
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@@ -272,7 +272,7 @@
               
               
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+  <title>torch_tensorrt.ts._compiler &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -272,7 +272,7 @@
               
               
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+  <title>torch_tensorrt.ts.ptq &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -272,7 +272,7 @@
               
               
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index 77ff61e80a..40307c63ee 100644
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diff --git a/docs/py_api/logging.html b/docs/py_api/logging.html
index 7c51fe1356..c623a6007d 100644
--- a/docs/py_api/logging.html
+++ b/docs/py_api/logging.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torch_tensorrt.logging &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>torch_tensorrt.logging &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/py_api/ptq.html b/docs/py_api/ptq.html
index b222e9723d..70d99ba738 100644
--- a/docs/py_api/ptq.html
+++ b/docs/py_api/ptq.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torch_tensorrt.ts.ptq &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>torch_tensorrt.ts.ptq &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/py_api/runtime.html b/docs/py_api/runtime.html
index 2e1031b289..82e0c1656f 100644
--- a/docs/py_api/runtime.html
+++ b/docs/py_api/runtime.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torch_tensorrt.runtime &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>torch_tensorrt.runtime &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/py_api/torch_tensorrt.html b/docs/py_api/torch_tensorrt.html
index 4106703d2b..9ec36ecbca 100644
--- a/docs/py_api/torch_tensorrt.html
+++ b/docs/py_api/torch_tensorrt.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torch_tensorrt &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>torch_tensorrt &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/py_api/ts.html b/docs/py_api/ts.html
index 7c038b3d22..1eaa049a51 100644
--- a/docs/py_api/ts.html
+++ b/docs/py_api/ts.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torch_tensorrt.ts &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>torch_tensorrt.ts &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
@@ -691,7 +691,7 @@ <h2>Functions<a class="headerlink" href="#functions" title="Permalink to this he
 
 <dl class="py function">
 <dt class="sig sig-object py" id="torch_tensorrt.ts.TensorRTCompileSpec">
-<span class="sig-prename descclassname"><span class="pre">torch_tensorrt.ts.</span></span><span class="sig-name descname"><span class="pre">TensorRTCompileSpec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.Input" title="torch_tensorrt._Input.Input"><span class="pre">Input</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_signature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">device</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.Device" title="torch_tensorrt._Device.Device"><span class="pre">Device</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tf32</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sparse_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enabled_precisions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dtype</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.dtype" title="torch_tensorrt._enums.dtype"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">refit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">capability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.EngineCapability" title="torch_tensorrt._enums.EngineCapability"><span class="pre">EngineCapability</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">EngineCapability.STANDARD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_avg_timing_iters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">workspace_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dla_sram_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1048576</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dla_local_dram_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1073741824</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dla_global_dram_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">536870912</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">truncate_long_and_double</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calibrator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">object</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allow_shape_tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;torch.ScriptClass</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0x7f11e723a730&gt;</span></span></span><a class="reference internal" href="../_modules/torch_tensorrt/ts/_compile_spec.html#TensorRTCompileSpec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch_tensorrt.ts.TensorRTCompileSpec" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torch_tensorrt.ts.</span></span><span class="sig-name descname"><span class="pre">TensorRTCompileSpec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">torch.Tensor</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.Input" title="torch_tensorrt._Input.Input"><span class="pre">Input</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_signature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">device</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.Device" title="torch_tensorrt._Device.Device"><span class="pre">Device</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_tf32</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sparse_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">enabled_precisions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Set</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">dtype</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.dtype" title="torch_tensorrt._enums.dtype"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">refit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">debug</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">capability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torch_tensorrt.html#torch_tensorrt.EngineCapability" title="torch_tensorrt._enums.EngineCapability"><span class="pre">EngineCapability</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">EngineCapability.STANDARD</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_avg_timing_iters</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">workspace_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dla_sram_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1048576</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dla_local_dram_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1073741824</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dla_global_dram_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">536870912</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">truncate_long_and_double</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calibrator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">object</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allow_shape_tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;torch.ScriptClass</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0x7f7da97b73f0&gt;</span></span></span><a class="reference internal" href="../_modules/torch_tensorrt/ts/_compile_spec.html#TensorRTCompileSpec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch_tensorrt.ts.TensorRTCompileSpec" title="Permalink to this definition">¶</a></dt>
 <dd><p>Utility to create a formatted spec dictionary for using the PyTorch TensorRT backend</p>
 <dl class="field-list simple">
 <dt class="field-odd">Keyword Arguments</dt>
diff --git a/docs/search.html b/docs/search.html
index 14ccb9d304..a98ce1da4a 100644
--- a/docs/search.html
+++ b/docs/search.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Search &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Search &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -272,7 +272,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 08621d8fd1..e55f9a469f 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
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Torch-TensorRT Development", "Writing Dynamo ATen Lowering Passes", "Compiling Exported Programs with Torch-TensorRT", "TensorRT Backend for <code class=\"docutils literal notranslate\"><span class=\"pre\">torch.compile</span></code>", "Torch-TensorRT (FX Frontend) User Guide", "Installation", "Overview", "Quick Start", "Torch-TensorRT", "Operators Supported", "torch_tensorrt.dynamo", "torch_tensorrt.fx", "torch_tensorrt.logging", "torch_tensorrt.ts.ptq", "torch_tensorrt.runtime", "torch_tensorrt", "torch_tensorrt.ts", "Computation times", "Changelog", "Configuration", "<span class=\"section-number\">5. </span>:mod:`test_py_module`", "<span class=\"section-number\">3. </span>Paragraph Level Markup", "<span class=\"section-number\">4. </span>Lists &amp; Tables", "<span class=\"section-number\">1. </span>Long Sticky Nav", "<span class=\"section-number\">1. </span>Structural Elements", "&lt;no title&gt;", "Installation", "Creating a TorchScript Module", "Using Torch-TensorRT in  C++", 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[65, 80, 91], "add": 65, "miss": 65, "instal": [66, 87], "precompil": 66, "binari": 66, "specif": 66, "cuda": [66, 101, 104], "nightli": 66, "build": [66, 67, 80, 112], "onli": 66, "from": [66, 92], "sourc": 66, "linux": 66, "packag": [66, 115], "addit": 66, "option": [66, 68, 80, 81, 83, 102, 104, 109, 117], "distribut": 66, "No": 66, "librari": [66, 115], "standalon": 66, "releas": 66, "debug": 66, "pre": [66, 108], "cxx11": 66, "choos": 66, "right": 66, "window": [66, 94], "step": [66, 68, 112], "advanc": [66, 100, 101], "setup": 66, "troubleshoot": 66, "altern": 66, "cmake": 66, "nativ": 66, "aarch64": 66, "jetson": 66, "prerequisit": [66, 67], "environ": 66, "cli": [66, 69], "jetpack": 67, "6": [67, 84], "1": [67, 68, 84, 112], "quick": 68, "start": [68, 69], "2": [68, 84, 85, 112], "deploi": [68, 108, 111, 115], "deploy": 68, "In": [69, 100], "framework": 69, "infer": [69, 102, 103, 104, 105, 108, 112], "nvidia": 69, "gpu": 69, "get": 69, "tutori": [69, 110], "zoo": [69, 98, 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95, "insert": 95, "cach": [96, 97, 100], "bert": [96, 104, 111], "jit": [97, 113], "aot": [97, 113], "mutabl": 99, "initi": 99, "make": [99, 100], "modif": 99, "stabl": [99, 103], "diffus": [99, 103], "huggingfac": 99, "refit": 100, "new": 100, "standard": 100, "workflow": 100, "refitt": 100, "pretrain": 100, "map": 100, "place": 100, "default": [101, 105], "cleanup": [101, 104], "driver": [101, 104], "error": [101, 104], "note": [101, 104], "resnet": 102, "argument": [102, 104], "avoid": 102, "specifi": 102, "befor": 102, "trt": 102, "cudagraph": [105, 115], "integr": 105, "gpt2": 106, "output": [106, 107], "decod": [106, 107], "sentenc": [106, 107], "llama2": 107, "load": [108, 116], "dataset": 108, "loss": 108, "calibr": 108, "tune": 108, "fp8": 108, "stream": 109, "run": 109, "budget": 109, "size": 109, "manag": 109, "notebook": 111, "citrinet": 111, "efficientnet": 111, "mask": 111, "languag": 111, "mlm": 111, "hug": 111, "face": 111, "transform": 111, "acceler": 111, "serv": [111, 112], "resnet50": 111, "lenet": 111, "deep": 111, "learn": 111, "object": 111, "detect": 111, "ssd": 111, "int8": 111, "triton": 112, "up": 112, "server": 112, "client": 112, "queri": 112, "constraint": 113, "mix": 114, "precis": 114, "libtorchtrt": 115, "so": 115, "plugin": 115, "multi": 115, "safe": 115, "mode": 115, "exportedprogram": 116, "b": 116, "explain": 117, "just": 117, "accept": 117, "return": 117, "ahead": 117, "dla": 118}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "nbsphinx": 4, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinx": 56}})
\ No newline at end of file
diff --git a/docs/sg_execution_times.html b/docs/sg_execution_times.html
index af6e093221..4d2cd33d01 100644
--- a/docs/sg_execution_times.html
+++ b/docs/sg_execution_times.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Computation times &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Computation times &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/changelog.html b/docs/src/pytorch-sphinx-theme/docs/changelog.html
index 8275466477..7eeb77a947 100644
--- a/docs/src/pytorch-sphinx-theme/docs/changelog.html
+++ b/docs/src/pytorch-sphinx-theme/docs/changelog.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Changelog &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Changelog &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/configuring.html b/docs/src/pytorch-sphinx-theme/docs/configuring.html
index 58f1c461bb..32ac1ab8ea 100644
--- a/docs/src/pytorch-sphinx-theme/docs/configuring.html
+++ b/docs/src/pytorch-sphinx-theme/docs/configuring.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Configuration &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Configuration &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/demo/api.html b/docs/src/pytorch-sphinx-theme/docs/demo/api.html
index c9d706f317..cd7f6088f0 100644
--- a/docs/src/pytorch-sphinx-theme/docs/demo/api.html
+++ b/docs/src/pytorch-sphinx-theme/docs/demo/api.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>5. :mod:`test_py_module` &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>5. :mod:`test_py_module` &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/demo/demo.html b/docs/src/pytorch-sphinx-theme/docs/demo/demo.html
index 9547297585..ca194216ee 100644
--- a/docs/src/pytorch-sphinx-theme/docs/demo/demo.html
+++ b/docs/src/pytorch-sphinx-theme/docs/demo/demo.html
@@ -12,7 +12,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>3. Paragraph Level Markup &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>3. Paragraph Level Markup &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
@@ -664,7 +664,7 @@ <h3><a class="toc-backref" href="#id41"><span class="section-number">3.4.4. </sp
 <section id="code-blocks">
 <h3><a class="toc-backref" href="#id42"><span class="section-number">3.4.5. </span>Code Blocks</a><a class="headerlink" href="#code-blocks" title="Permalink to this heading">¶</a></h3>
 <pre class="literal-block"># parsed-literal test
-curl -O <a class="reference external" href="http://someurl/release">http://someurl/release</a>-v2.6.0.dev0+233d0bf.tar-gz</pre>
+curl -O <a class="reference external" href="http://someurl/release">http://someurl/release</a>-v2.6.0.dev0+daffc7c.tar-gz</pre>
 <div class="literal-block-wrapper docutils container" id="id23">
 <div class="code-block-caption"><span class="caption-text">Code Blocks can have captions.</span><a class="headerlink" href="#id23" title="Permalink to this code">¶</a></div>
 <div class="highlight-json notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
diff --git a/docs/src/pytorch-sphinx-theme/docs/demo/lists_tables.html b/docs/src/pytorch-sphinx-theme/docs/demo/lists_tables.html
index 86e97c1128..df4d81e13a 100644
--- a/docs/src/pytorch-sphinx-theme/docs/demo/lists_tables.html
+++ b/docs/src/pytorch-sphinx-theme/docs/demo/lists_tables.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>4. Lists &amp; Tables &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>4. Lists &amp; Tables &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/demo/long.html b/docs/src/pytorch-sphinx-theme/docs/demo/long.html
index c0ca985e43..2e5ea68e9a 100644
--- a/docs/src/pytorch-sphinx-theme/docs/demo/long.html
+++ b/docs/src/pytorch-sphinx-theme/docs/demo/long.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>1. Long Sticky Nav &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>1. Long Sticky Nav &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/demo/structure.html b/docs/src/pytorch-sphinx-theme/docs/demo/structure.html
index 8048f22463..b4543f9a82 100644
--- a/docs/src/pytorch-sphinx-theme/docs/demo/structure.html
+++ b/docs/src/pytorch-sphinx-theme/docs/demo/structure.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>1. Structural Elements &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>1. Structural Elements &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/index.html b/docs/src/pytorch-sphinx-theme/docs/index.html
index 39c5f2ac4b..31ffdd6341 100644
--- a/docs/src/pytorch-sphinx-theme/docs/index.html
+++ b/docs/src/pytorch-sphinx-theme/docs/index.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>&lt;no title&gt; &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>&lt;no title&gt; &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/src/pytorch-sphinx-theme/docs/installing.html b/docs/src/pytorch-sphinx-theme/docs/installing.html
index 9ec444d19b..9ff3807fde 100644
--- a/docs/src/pytorch-sphinx-theme/docs/installing.html
+++ b/docs/src/pytorch-sphinx-theme/docs/installing.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Installation &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Installation &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/ts/creating_torchscript_module_in_python.html b/docs/ts/creating_torchscript_module_in_python.html
index 4aee04b563..b1f25ec64a 100644
--- a/docs/ts/creating_torchscript_module_in_python.html
+++ b/docs/ts/creating_torchscript_module_in_python.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Creating a TorchScript Module &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Creating a TorchScript Module &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/ts/getting_started_with_cpp_api.html b/docs/ts/getting_started_with_cpp_api.html
index 3acc2abee7..ce37d42e61 100644
--- a/docs/ts/getting_started_with_cpp_api.html
+++ b/docs/ts/getting_started_with_cpp_api.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Using Torch-TensorRT in C++ &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Using Torch-TensorRT in C++ &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/ts/getting_started_with_python_api.html b/docs/ts/getting_started_with_python_api.html
index fb30e3b117..225256bce9 100644
--- a/docs/ts/getting_started_with_python_api.html
+++ b/docs/ts/getting_started_with_python_api.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Using Torch-TensorRT in Python &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Using Torch-TensorRT in Python &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/ts/ptq.html b/docs/ts/ptq.html
index 810e929c9f..3faf182766 100644
--- a/docs/ts/ptq.html
+++ b/docs/ts/ptq.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Post Training Quantization (PTQ) &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Post Training Quantization (PTQ) &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/ts/torchscript_frontend_from_pytorch.html b/docs/ts/torchscript_frontend_from_pytorch.html
index 97cfa45386..f87842e939 100644
--- a/docs/ts/torchscript_frontend_from_pytorch.html
+++ b/docs/ts/torchscript_frontend_from_pytorch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Using Torch-TensorRT TorchScript Frontend Directly From PyTorch &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Using Torch-TensorRT TorchScript Frontend Directly From PyTorch &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/converter_overloading.html b/docs/tutorials/_rendered_examples/dynamo/converter_overloading.html
index 87a202d752..07e376d7c9 100644
--- a/docs/tutorials/_rendered_examples/dynamo/converter_overloading.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Overloading Torch-TensorRT Converters with Custom Converters &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Overloading Torch-TensorRT Converters with Custom Converters &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/cross_runtime_compilation_for_windows.html b/docs/tutorials/_rendered_examples/dynamo/cross_runtime_compilation_for_windows.html
index e9e4ff9202..9cb1f92af8 100644
--- a/docs/tutorials/_rendered_examples/dynamo/cross_runtime_compilation_for_windows.html
+++ b/docs/tutorials/_rendered_examples/dynamo/cross_runtime_compilation_for_windows.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Cross runtime compilation for windows example &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Cross runtime compilation for windows example &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/custom_kernel_plugins.html b/docs/tutorials/_rendered_examples/dynamo/custom_kernel_plugins.html
index 38985b97dd..80b6bea3ba 100644
--- a/docs/tutorials/_rendered_examples/dynamo/custom_kernel_plugins.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Using Custom Kernels within TensorRT Engines with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Using Custom Kernels within TensorRT Engines with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/engine_caching_bert_example.html b/docs/tutorials/_rendered_examples/dynamo/engine_caching_bert_example.html
index dbd16bfffb..12481fec60 100644
--- a/docs/tutorials/_rendered_examples/dynamo/engine_caching_bert_example.html
+++ b/docs/tutorials/_rendered_examples/dynamo/engine_caching_bert_example.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Engine Caching (BERT) &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Engine Caching (BERT) &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/engine_caching_example.html b/docs/tutorials/_rendered_examples/dynamo/engine_caching_example.html
index 57c6c8c859..94e404f7ea 100644
--- a/docs/tutorials/_rendered_examples/dynamo/engine_caching_example.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Engine Caching &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Engine Caching &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/index.html b/docs/tutorials/_rendered_examples/dynamo/index.html
index eaf07958b5..1a282b3b14 100644
--- a/docs/tutorials/_rendered_examples/dynamo/index.html
+++ b/docs/tutorials/_rendered_examples/dynamo/index.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Dependencies &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Dependencies &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/mutable_torchtrt_module_example.html b/docs/tutorials/_rendered_examples/dynamo/mutable_torchtrt_module_example.html
index 4ae2707298..acc967faa3 100644
--- a/docs/tutorials/_rendered_examples/dynamo/mutable_torchtrt_module_example.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Mutable Torch TensorRT Module &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Mutable Torch TensorRT Module &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/tutorials/_rendered_examples/dynamo/refit_engine_example.html b/docs/tutorials/_rendered_examples/dynamo/refit_engine_example.html
index e6af253c1f..4e3a5253d3 100644
--- a/docs/tutorials/_rendered_examples/dynamo/refit_engine_example.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Refitting Torch-TensorRT Programs with New Weights &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Refitting Torch-TensorRT Programs with New Weights &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_compile_advanced_usage.html b/docs/tutorials/_rendered_examples/dynamo/torch_compile_advanced_usage.html
index 65b773c00b..e8a3d9e100 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_compile_advanced_usage.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torch Compile Advanced Usage &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Torch Compile Advanced Usage &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_compile_resnet_example.html b/docs/tutorials/_rendered_examples/dynamo/torch_compile_resnet_example.html
index 5a465733df..690345a0cf 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_compile_resnet_example.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Compiling ResNet with dynamic shapes using the torch.compile backend &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Compiling ResNet with dynamic shapes using the torch.compile backend &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_compile_stable_diffusion.html b/docs/tutorials/_rendered_examples/dynamo/torch_compile_stable_diffusion.html
index a1e578c982..87796c85a8 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_compile_stable_diffusion.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Compiling Stable Diffusion model using the torch.compile backend &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Compiling Stable Diffusion model using the torch.compile backend &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_compile_transformers_example.html b/docs/tutorials/_rendered_examples/dynamo/torch_compile_transformers_example.html
index 0010680680..8c852220ee 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_compile_transformers_example.html
+++ b/docs/tutorials/_rendered_examples/dynamo/torch_compile_transformers_example.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Compiling BERT using the torch.compile backend &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Compiling BERT using the torch.compile backend &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_export_cudagraphs.html b/docs/tutorials/_rendered_examples/dynamo/torch_export_cudagraphs.html
index 7b55ed3bac..9b8e04cb64 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_export_cudagraphs.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torch Export with Cudagraphs &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Torch Export with Cudagraphs &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_export_gpt2.html b/docs/tutorials/_rendered_examples/dynamo/torch_export_gpt2.html
index 0550717875..f9eadbd568 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_export_gpt2.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Compiling GPT2 using the dynamo backend &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Compiling GPT2 using the dynamo backend &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/tutorials/_rendered_examples/dynamo/torch_export_llama2.html b/docs/tutorials/_rendered_examples/dynamo/torch_export_llama2.html
index 5815dff251..7754547534 100644
--- a/docs/tutorials/_rendered_examples/dynamo/torch_export_llama2.html
+++ b/docs/tutorials/_rendered_examples/dynamo/torch_export_llama2.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Compiling Llama2 using the dynamo backend &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Compiling Llama2 using the dynamo backend &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/tutorials/_rendered_examples/dynamo/vgg16_ptq.html b/docs/tutorials/_rendered_examples/dynamo/vgg16_ptq.html
index 8c9cf88013..3738d1ece9 100644
--- a/docs/tutorials/_rendered_examples/dynamo/vgg16_ptq.html
+++ b/docs/tutorials/_rendered_examples/dynamo/vgg16_ptq.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Deploy Quantized Models using Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Deploy Quantized Models using Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/tutorials/_rendered_examples/dynamo/weight_streaming_example.html b/docs/tutorials/_rendered_examples/dynamo/weight_streaming_example.html
index 790907439c..7c4a532401 100644
--- a/docs/tutorials/_rendered_examples/dynamo/weight_streaming_example.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Weight Streaming &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Weight Streaming &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/_rendered_examples/index.html b/docs/tutorials/_rendered_examples/index.html
index e2aa02db82..df0e0c9343 100644
--- a/docs/tutorials/_rendered_examples/index.html
+++ b/docs/tutorials/_rendered_examples/index.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torch-TensorRT Tutorials &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Torch-TensorRT Tutorials &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -273,7 +273,7 @@
               
               
                 <div class="version">
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+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/notebooks.html b/docs/tutorials/notebooks.html
index 536080824f..e77899f7c7 100644
--- a/docs/tutorials/notebooks.html
+++ b/docs/tutorials/notebooks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Legacy notebooks &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Legacy notebooks &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/tutorials/serving_torch_tensorrt_with_triton.html b/docs/tutorials/serving_torch_tensorrt_with_triton.html
index 68f2fd1031..efb10d6a7e 100644
--- a/docs/tutorials/serving_torch_tensorrt_with_triton.html
+++ b/docs/tutorials/serving_torch_tensorrt_with_triton.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Serving a Torch-TensorRT model with Triton &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Serving a Torch-TensorRT model with Triton &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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+                  v2.6.0.dev0+daffc7c
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diff --git a/docs/user_guide/dynamic_shapes.html b/docs/user_guide/dynamic_shapes.html
index 2f673abeba..7efcfade2d 100644
--- a/docs/user_guide/dynamic_shapes.html
+++ b/docs/user_guide/dynamic_shapes.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Dynamic shapes with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Dynamic shapes with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/user_guide/mixed_precision.html b/docs/user_guide/mixed_precision.html
index a888947c4b..998f543980 100644
--- a/docs/user_guide/mixed_precision.html
+++ b/docs/user_guide/mixed_precision.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Compile Mixed Precision models with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Compile Mixed Precision models with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
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                 <div class="version">
-                  v2.6.0.dev0+233d0bf
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diff --git a/docs/user_guide/runtime.html b/docs/user_guide/runtime.html
index 217faed7ef..7d086a5383 100644
--- a/docs/user_guide/runtime.html
+++ b/docs/user_guide/runtime.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Deploying Torch-TensorRT Programs &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Deploying Torch-TensorRT Programs &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
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diff --git a/docs/user_guide/saving_models.html b/docs/user_guide/saving_models.html
index f37063a367..b6250d3b50 100644
--- a/docs/user_guide/saving_models.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Saving models compiled with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Saving models compiled with Torch-TensorRT &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/user_guide/torch_tensorrt_explained.html b/docs/user_guide/torch_tensorrt_explained.html
index b7d9e58deb..615397bd19 100644
--- a/docs/user_guide/torch_tensorrt_explained.html
+++ b/docs/user_guide/torch_tensorrt_explained.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torch-TensorRT Explained &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>Torch-TensorRT Explained &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/docs/user_guide/using_dla.html b/docs/user_guide/using_dla.html
index acab11e46e..9ed940660a 100644
--- a/docs/user_guide/using_dla.html
+++ b/docs/user_guide/using_dla.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>DLA &mdash; Torch-TensorRT v2.6.0.dev0+233d0bf documentation</title>
+  <title>DLA &mdash; Torch-TensorRT v2.6.0.dev0+daffc7c documentation</title>
   
 
   
@@ -275,7 +275,7 @@
               
               
                 <div class="version">
-                  v2.6.0.dev0+233d0bf
+                  v2.6.0.dev0+daffc7c
                 </div>
               
             
diff --git a/packaging/pre_build_script.sh b/packaging/pre_build_script.sh
index 1dbfb1c3eb..6b107b63b0 100755
--- a/packaging/pre_build_script.sh
+++ b/packaging/pre_build_script.sh
@@ -21,6 +21,15 @@ pip install --force-reinstall --pre ${TORCH_TORCHVISION} --index-url ${INDEX_URL
 export TORCH_BUILD_NUMBER=$(python -c "import torch, urllib.parse as ul; print(ul.quote_plus(torch.__version__))")
 export TORCH_INSTALL_PATH=$(python -c "import torch, os; print(os.path.dirname(torch.__file__))")
 
+if [[ ${TENSORRT_VERSION} != "" ]]; then
+  # this is the upgraded TensorRT version, replace current tensorrt version to the upgrade tensorRT version in the pyproject.toml
+  current_version=$(cat dev_dep_versions.yml | grep __tensorrt_version__ | sed 's/__tensorrt_version__: //g' | sed 's/"//g')
+  sed -i -e "s/tensorrt-cu12==${current_version}/tensorrt-cu12==${TENSORRT_VERSION}/g" \
+         -e "s/tensorrt-cu12-bindings==${current_version}/tensorrt-cu12-bindings==${TENSORRT_VERSION}/g" \
+         -e "s/tensorrt-cu12-libs==${current_version}/tensorrt-cu12-libs==${TENSORRT_VERSION}/g" \
+          pyproject.toml
+fi
+
 if [[ "${CU_VERSION::4}" < "cu12" ]]; then
   # replace dependencies from tensorrt-cu12-bindings/libs to tensorrt-cu11-bindings/libs
   sed -i -e "s/tensorrt-cu12==/tensorrt-${CU_VERSION::4}==/g" \
@@ -29,7 +38,11 @@ if [[ "${CU_VERSION::4}" < "cu12" ]]; then
          pyproject.toml
 fi
 
-cat toolchains/ci_workspaces/MODULE.bazel.tmpl | envsubst > MODULE.bazel
+if [[ ${TENSORRT_VERSION} != "" ]]; then
+  cat toolchains/ci_workspaces/MODULE_tensorrt.bazel.tmpl | envsubst > MODULE.bazel
+else
+  cat toolchains/ci_workspaces/MODULE.bazel.tmpl | envsubst > MODULE.bazel
+fi
 
 cat MODULE.bazel
 export CI_BUILD=1
diff --git a/packaging/pre_build_script_windows.sh b/packaging/pre_build_script_windows.sh
index 0912598bc0..5e6f32f569 100644
--- a/packaging/pre_build_script_windows.sh
+++ b/packaging/pre_build_script_windows.sh
@@ -1,9 +1,20 @@
-set -exou pipefail
+set -x
 
 pip install -U numpy packaging pyyaml setuptools wheel
 
 choco install bazelisk -y
 
+echo TENSORRT_VERSION=${TENSORRT_VERSION}
+
+if [[ ${TENSORRT_VERSION} != "" ]]; then
+  # this is the upgraded TensorRT version, replace current tensorrt version to the upgrade tensorRT version in the pyproject.toml
+  current_version=$(cat dev_dep_versions.yml | grep __tensorrt_version__ | sed 's/__tensorrt_version__: //g' | sed 's/"//g')
+  sed -i -e "s/tensorrt-cu12==${current_version}/tensorrt-cu12==${TENSORRT_VERSION}/g" \
+         -e "s/tensorrt-cu12-bindings==${current_version}/tensorrt-cu12-bindings==${TENSORRT_VERSION}/g" \
+         -e "s/tensorrt-cu12-libs==${current_version}/tensorrt-cu12-libs==${TENSORRT_VERSION}/g" \
+          pyproject.toml
+fi
+
 if [[ "${CU_VERSION::4}" < "cu12" ]]; then
   # replace dependencies from tensorrt-cu12-bindings/libs to tensorrt-cu11-bindings/libs
   sed -i -e "s/tensorrt-cu12==/tensorrt-${CU_VERSION::4}==/g" \
@@ -24,7 +35,12 @@ pip install --force-reinstall --pre ${TORCH_TORCHVISION} --index-url ${INDEX_URL
 export CUDA_HOME="$(echo ${CUDA_PATH} | sed -e 's#\\#\/#g')"
 export TORCH_INSTALL_PATH="$(python -c "import torch, os; print(os.path.dirname(torch.__file__))" | sed -e 's#\\#\/#g')"
 
-cat toolchains/ci_workspaces/MODULE.bazel.tmpl | envsubst > MODULE.bazel
+
+if [[ ${TENSORRT_VERSION} != "" ]]; then
+  cat toolchains/ci_workspaces/MODULE_tensorrt.bazel.tmpl | envsubst > MODULE.bazel
+else
+  cat toolchains/ci_workspaces/MODULE.bazel.tmpl | envsubst > MODULE.bazel
+fi
 
 cat MODULE.bazel
 echo "RELEASE=1" >> ${GITHUB_ENV}
diff --git a/py/torch_tensorrt/_compile.py b/py/torch_tensorrt/_compile.py
index eb2642755a..9492b09402 100644
--- a/py/torch_tensorrt/_compile.py
+++ b/py/torch_tensorrt/_compile.py
@@ -666,14 +666,15 @@ def save(
                 exp_program = export(module)
                 torch.export.save(exp_program, file_path)
             else:
-                from torch._higher_order_ops.torchbind import enable_torchbind_tracing
 
                 if arg_inputs is None:
                     raise ValueError(
                         "Provided model is a torch.fx.GraphModule and retrace is True, however the inputs or arg_inputs are empty. Please provide valid torch.tensors as inputs or arg_inputs to trace and save the model"
                     )
-                with enable_torchbind_tracing():
-                    exp_program = torch.export.export(
-                        module, tuple(arg_inputs), kwargs=kwarg_inputs, strict=False
-                    )
-                    torch.export.save(exp_program, file_path)
+                exp_program = torch.export.export(
+                    module,
+                    tuple(arg_inputs),
+                    kwargs=kwarg_inputs,
+                    strict=False,
+                )
+                torch.export.save(exp_program, file_path)
diff --git a/py/torch_tensorrt/dynamo/lowering/_decompositions.py b/py/torch_tensorrt/dynamo/lowering/_decompositions.py
index 4981cef78d..0c4e19d902 100644
--- a/py/torch_tensorrt/dynamo/lowering/_decompositions.py
+++ b/py/torch_tensorrt/dynamo/lowering/_decompositions.py
@@ -4,8 +4,8 @@
 
 import torch
 from torch._decomp import register_decomposition
-from torch._export.utils import _decomp_table_to_post_autograd_aten
 from torch._ops import OpOverload
+from torch.export import default_decompositions
 from torch_tensorrt.dynamo._defaults import default_device
 from torch_tensorrt.dynamo.conversion.converter_utils import get_positive_dim
 from torch_tensorrt.dynamo.utils import to_torch_device
@@ -432,7 +432,7 @@ def get_decompositions(
         return {**CORE_ATEN_DECOMPOSITIONS_FILTERED, **TORCH_TRT_DECOMPOSITIONS}
     else:
         # changes made here due to torch2.6 changes https://github.com/pytorch/pytorch/pull/135080
-        decomp_table = _decomp_table_to_post_autograd_aten()
+        decomp_table = default_decompositions()
         DECOMP_TABLE_FILTERED: Dict[OpOverload, Callable[[Any], Any]] = {
             decomp: decomp_table[decomp]
             for decomp in decomp_table
diff --git a/py/torch_tensorrt/dynamo/runtime/__init__.py b/py/torch_tensorrt/dynamo/runtime/__init__.py
index d1af9d2460..762345d50f 100644
--- a/py/torch_tensorrt/dynamo/runtime/__init__.py
+++ b/py/torch_tensorrt/dynamo/runtime/__init__.py
@@ -4,3 +4,4 @@
 from torch_tensorrt.dynamo.runtime._TorchTensorRTModule import (  # noqa: F401
     TorchTensorRTModule,
 )
+from torch_tensorrt.dynamo.runtime.register_fake_class import *
diff --git a/py/torch_tensorrt/dynamo/runtime/register_fake_class.py b/py/torch_tensorrt/dynamo/runtime/register_fake_class.py
new file mode 100644
index 0000000000..ac416879b5
--- /dev/null
+++ b/py/torch_tensorrt/dynamo/runtime/register_fake_class.py
@@ -0,0 +1,129 @@
+import base64
+from collections import defaultdict
+from typing import Any, List
+
+import torch
+from torch_tensorrt.dynamo.utils import input_is_dynamic, unwrap_tensor_shape
+
+
+@torch.library.register_fake("tensorrt::execute_engine")  # type: ignore
+def fake_tensorrt_execute_engine(
+    inputs: List[torch.Tensor], fake_trt_engine: Any
+) -> Any:
+    """
+    We infer outputs using the TRT engine and inputs and return fake tensors in this meta kernel.
+    """
+    # Here's what we are doing
+    # 1) Check if inputs are dynamic (they have sym ints in their shapes)
+    # 2) For dynamic inputs, we gather min_input_shape and max_input shape for all inputs
+    # 3) For the above min and max input shape, capture the corresponding min and max output shape using TensorRT's set/get shapes mechanism
+    # 4) Create a new symbolic fake tensor using min and max output shape for each output and return them
+    # 5) For static inputs, the output shape will be static and we won't need to create sym ints
+    is_dynamic_execution = input_is_dynamic(inputs)
+    if is_dynamic_execution:
+        modes = ["min", "max", "opt"]
+    else:
+        modes = ["opt"]
+
+    # Get the TRTEngine class and infer output shapes based on input shapes
+    trt_engine = fake_trt_engine.wrapped_obj.engine
+    outputs_mode_dict = defaultdict(list)
+    for mode in modes:
+        input_shapes = [unwrap_tensor_shape(input, mode=mode) for input in inputs]
+        proxy_outputs = trt_engine.infer_outputs(input_shapes)
+        outputs_mode_dict[mode].extend(proxy_outputs)
+
+    # Store the number of outputs
+    if {"min", "max"}.issubset(outputs_mode_dict):
+        assert len(outputs_mode_dict["min"]) == len(outputs_mode_dict["max"])
+        num_outputs = len(outputs_mode_dict["min"])
+    elif "opt" in outputs_mode_dict:
+        num_outputs = len(outputs_mode_dict["opt"])
+
+    fake_outputs = []
+    for out_idx in range(num_outputs):
+        output_shape = []
+        if is_dynamic_execution:
+            # Create output symbolic shape using unbacked symint.
+            # Note: We can't establish a relationship b/w incoming input symbolic shape (eg: s0)
+            # and TensorRT's output shape (represented as unbacked u0). This situation doesn't seem
+            # to affect compilation results / serialization during our testing.
+            output_min_shape = outputs_mode_dict["min"][out_idx].size()
+            output_opt_shape = outputs_mode_dict["opt"][out_idx].size()
+            output_max_shape = outputs_mode_dict["max"][out_idx].size()
+
+            ctx = torch._custom_ops.get_ctx()
+            for min_val, opt_val, max_val in zip(
+                output_min_shape, output_opt_shape, output_max_shape
+            ):
+                if min_val != max_val:
+                    output_sym_int = ctx.new_dynamic_size(min=min_val, max=max_val)
+                    # Update var to val (hint)
+                    output_sym_int_shape_env = output_sym_int.node.shape_env
+                    output_sym_int_shape_env.add_var_to_val(
+                        output_sym_int.node.expr, opt_val
+                    )
+                    output_shape.append(output_sym_int)
+                else:
+                    output_shape.append(min_val)
+        else:
+            output_shape.extend(outputs_mode_dict["opt"][out_idx].size())
+
+        fake_outputs.append(
+            torch.empty(output_shape, dtype=outputs_mode_dict["opt"][out_idx].dtype)
+        )
+
+    return fake_outputs
+
+
+@torch._library.register_fake_class("tensorrt::Engine")
+class FakeTRTEngine:
+    def __init__(self, engine_info: List[str]) -> None:
+        self.engine = torch.classes.tensorrt.Engine(engine_info)
+
+    @classmethod
+    def __obj_unflatten__(cls, flattened_tq: Any) -> Any:
+        engine_idx = torch.ops.tensorrt.ENGINE_IDX()
+        engine_info = [info[1] for info in flattened_tq]
+        engine_info[engine_idx] = base64.b64decode(engine_info[engine_idx])
+
+        return cls(engine_info)
+
+    def enable_profiling(self) -> Any:
+        pass
+
+    def disable_profiling(self) -> Any:
+        pass
+
+    def dump_engine_layer_info_to_file(self, path: str) -> Any:
+        pass
+
+    def dump_engine_layer_info(self) -> Any:
+        pass
+
+    def get_engine_layer_info(self) -> Any:
+        pass
+
+    def profile_path_prefix_getter(self) -> Any:
+        pass
+
+    def profile_path_prefix_setter(self) -> Any:
+        pass
+
+    def device_memory_budget_getter(self) -> Any:
+        pass
+
+    def device_memory_budget_setter(self) -> Any:
+        pass
+
+    def streamable_device_memory_budget_getter(self) -> Any:
+        pass
+
+    def automatic_device_memory_budget_getter(self) -> Any:
+        pass
+
+    def infer_outputs(self, input_shapes: List[Any]) -> Any:
+        pass
+
+    def __setstate__(self, serialized_state: List[str]) -> Any:
+        pass
diff --git a/py/torch_tensorrt/dynamo/utils.py b/py/torch_tensorrt/dynamo/utils.py
index c756a5dcca..85aa663809 100644
--- a/py/torch_tensorrt/dynamo/utils.py
+++ b/py/torch_tensorrt/dynamo/utils.py
@@ -125,13 +125,23 @@ def cosine_similarity(gt_tensor: torch.Tensor, pred_tensor: torch.Tensor) -> flo
     return res
 
 
-def input_is_dynamic(inputs: Sequence[Union[Input, torch.Tensor]]) -> bool:
+def input_is_dynamic(inputs: Sequence[Union[Input, torch.Tensor, FakeTensor]]) -> bool:
     """
-    Return true if the provided inputs are `torch_tensorrt.Input` objects and have dynamic shapes.
+    Return true if any of inputs have dynamic shapes. Supported types are torch_tensorrt.Input | torch.Tensor
     """
-    return not any(isinstance(input, torch.Tensor) for input in inputs) and any(
-        input.shape_mode == Input._ShapeMode.DYNAMIC for input in inputs
-    )
+    for input in inputs:
+        if isinstance(input, torch.Tensor):
+            if contains_sym_int(input.shape):
+                return True
+        elif isinstance(input, Input):
+            if input.shape_mode == Input._ShapeMode.DYNAMIC:
+                return True
+        else:
+            raise AssertionError(
+                f"Invalid input type ({type(input)}) found. Supported types are torch_tensorrt.Input | torch.Tensor"
+            )
+
+    return False
 
 
 def get_torch_tensor(
@@ -355,7 +365,7 @@ def extract_var_range_info(symbolic_integer: torch.SymInt) -> Dict[str, int]:
 
 
 def unwrap_tensor_shape(
-    tensor: Union[torch.Tensor, FakeTensor, torch.SymInt]
+    tensor: Union[torch.Tensor, FakeTensor, torch.SymInt], mode: Optional[str] = ""
 ) -> Sequence[Union[int, Tuple[int, int]]]:
     """
     This is a helper function used to print/return the shape of the tensor.
@@ -369,10 +379,13 @@ def unwrap_tensor_shape(
         tensor_shape.append(tensor)
     elif isinstance(tensor, torch.SymInt):
         min_max_opt = extract_var_range_info(tensor)
-        tensor_shape.append((min_max_opt["min"], min_max_opt["max"]))
+        if mode:
+            tensor_shape.append(min_max_opt[mode])
+        else:
+            tensor_shape.append((min_max_opt["min"], min_max_opt["max"]))
     elif isinstance(tensor, (torch.Tensor, FakeTensor)):
         for dimension in tensor.shape:
-            tensor_shape.extend(unwrap_tensor_shape(dimension))
+            tensor_shape.extend(unwrap_tensor_shape(dimension, mode=mode))
 
     return tuple(tensor_shape)
 
@@ -403,9 +416,9 @@ def get_graph_io_attrs(
             metadata = node.meta["val"]
             if isinstance(metadata, (tuple, list)):
                 for tensor in metadata:
-                    graph_io_attrs.append(attr_fn(tensor))
+                    graph_io_attrs.append(attr_fn(tensor))  # type: ignore
             else:
-                graph_io_attrs.append(attr_fn(metadata))
+                graph_io_attrs.append(attr_fn(metadata))  # type: ignore
 
     return graph_io_attrs
 
diff --git a/tests/py/dynamo/models/test_reexport.py b/tests/py/dynamo/models/test_reexport.py
new file mode 100644
index 0000000000..9386652815
--- /dev/null
+++ b/tests/py/dynamo/models/test_reexport.py
@@ -0,0 +1,730 @@
+import os
+import tempfile
+import unittest
+
+import pytest
+import torch
+import torch.nn as nn
+import torch_tensorrt as torchtrt
+import torchvision.models as models
+from torch_tensorrt.dynamo.utils import COSINE_THRESHOLD, cosine_similarity
+
+assertions = unittest.TestCase()
+
+trt_ep_path = os.path.join(tempfile.gettempdir(), "trt.ep")
+
+
+@pytest.mark.unit
+def test_base_full_compile(ir):
+    """
+    This tests export serde functionality on a base model
+    which is fully TRT convertible
+    """
+
+    class MyModule(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
+            self.relu = torch.nn.ReLU()
+
+        def forward(self, x):
+            out = self.conv(x)
+            out = self.relu(out)
+            return out
+
+    model = MyModule().eval().cuda()
+    input = torch.randn((1, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torch.export.export(model, (input,), strict=False)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    # Check Pyt and TRT exported program outputs
+    cos_sim = cosine_similarity(model(input), trt_module(input)[0])
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_base_model_full_compile TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    # Check Pyt and deserialized TRT exported program outputs
+    cos_sim = cosine_similarity(model(input), deser_trt_module(input)[0])
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_base_model_full_compile TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+
+@pytest.mark.unit
+def test_base_full_compile_multiple_outputs(ir):
+    """
+    This tests export serde functionality on a base model
+    with multiple outputs which is fully TRT convertible
+    """
+
+    class MyModule(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
+            self.relu = torch.nn.ReLU()
+
+        def forward(self, x):
+            conv = self.conv(x)
+            conv = conv * 0.5
+            relu = self.relu(conv)
+            return conv, relu
+
+    model = MyModule().eval().cuda()
+    input = torch.randn((1, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torchtrt.dynamo.trace(model, **compile_spec)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+    torchtrt.save(trt_module, trt_ep_path)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    # Check Pyt and TRT exported program outputs
+    outputs_pyt = model(input)
+    outputs_trt = trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_base_full_compile_multiple_outputs TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+    # # Check Pyt and deserialized TRT exported program outputs
+    outputs_trt_deser = deser_trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt_deser[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_base_full_compile_multiple_outputs deserialized TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+
+@pytest.mark.unit
+def test_no_compile(ir):
+    """
+    This tests export serde functionality on a model
+    which won't convert to TRT because of min_block_size=5 constraint
+    """
+
+    class MyModule(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
+            self.relu = torch.nn.ReLU()
+
+        def forward(self, x):
+            conv = self.conv(x)
+            conv = conv * 0.5
+            relu = self.relu(conv)
+            return conv, relu
+
+    model = MyModule().eval().cuda()
+    input = torch.randn((1, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torchtrt.dynamo.trace(model, **compile_spec)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    # Check Pyt and TRT exported program outputs
+    outputs_pyt = model(input)
+    outputs_trt = trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_no_compile TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+    # # Check Pyt and deserialized TRT exported program outputs
+    outputs_trt_deser = deser_trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt_deser[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_no_compile deserialized TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+
+@pytest.mark.unit
+def test_hybrid_relu_fallback(ir):
+    """
+    This tests export save and load functionality on a hybrid
+    model with Pytorch and TRT segments. Relu (unweighted) layer is forced to
+    fallback
+    """
+
+    class MyModule(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
+            self.relu = torch.nn.ReLU()
+
+        def forward(self, x):
+            conv = self.conv(x)
+            relu = self.relu(conv)
+            mul = relu * 0.5
+            return mul
+
+    model = MyModule().eval().cuda()
+    input = torch.randn((1, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "torch_executed_ops": {"torch.ops.aten.relu.default"},
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torchtrt.dynamo.trace(model, **compile_spec)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(input)
+    outputs_trt = trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_hybrid_relu_fallback TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+    outputs_trt_deser = deser_trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt_deser[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_hybrid_relu_fallback deserialized TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+
+@pytest.mark.unit
+def test_resnet18(ir):
+    """
+    This tests export save and load functionality on Resnet18 model
+    """
+    model = models.resnet18().eval().cuda()
+    input = torch.randn((1, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torchtrt.dynamo.trace(model, **compile_spec)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(input)
+    outputs_trt = trt_module(input)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt[0])
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18 TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(input)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser[0])
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18 deserialized TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+
+@pytest.mark.unit
+def test_hybrid_conv_fallback(ir):
+    """
+    This tests export save and load functionality on a hybrid
+    model where a conv (a weighted layer)  has been forced to fallback to Pytorch.
+    """
+
+    class MyModule(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+            self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
+            self.relu = torch.nn.ReLU()
+
+        def forward(self, x):
+            conv = self.conv(x)
+            relu = self.relu(conv)
+            mul = relu * 0.5
+            return mul
+
+    model = MyModule().eval().cuda()
+    input = torch.randn((1, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "torch_executed_ops": {"torch.ops.aten.convolution.default"},
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torchtrt.dynamo.trace(model, **compile_spec)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(input)
+    outputs_trt = trt_module(input)
+
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_hybrid_conv_fallback TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+    outputs_trt_deser = deser_trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt_deser[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_hybrid_conv_fallback deserialized TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+
+@pytest.mark.unit
+def test_arange_export(ir):
+    """
+    This tests export save and load functionality on a arange static graph
+    Here the arange output is a static constant (which is registered as input to the graph)
+    in the exporter.
+    """
+
+    class MyModule(torch.nn.Module):
+        def __init__(self):
+            super().__init__()
+
+        def forward(self, x):
+            x_embed = torch.arange(
+                1, x.shape[-1] + 1, dtype=torch.float32, device=x.device
+            )
+            return x_embed
+
+    model = MyModule().eval().cuda()
+    input = torch.randn((1, 1, 128, 128)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                input.shape, dtype=torch.float, format=torch.contiguous_format
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torchtrt.dynamo.trace(model, **compile_spec)
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport
+    trt_exp_program = torch.export.export(trt_module, (input,), strict=False)
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(input)
+    outputs_trt = trt_module(input)
+
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_arange_export TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+    outputs_trt_deser = deser_trt_module(input)
+    for idx in range(len(outputs_pyt)):
+        cos_sim = cosine_similarity(outputs_pyt[idx], outputs_trt_deser[idx])
+        assertions.assertTrue(
+            cos_sim > COSINE_THRESHOLD,
+            msg=f"test_arange_export deserialized TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+        )
+
+
+@pytest.mark.unit
+def test_resnet18_dynamic(ir):
+    """
+    This tests export save and load functionality on Resnet18 model with dynamic shapes
+    """
+    model = models.resnet18().eval().cuda()
+    input_bs2 = torch.randn((2, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                min_shape=(1, 3, 224, 224),
+                opt_shape=(4, 3, 224, 224),
+                max_shape=(8, 3, 224, 224),
+                dtype=torch.float32,
+                name="x",
+            )
+        ],
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    dyn_batch = torch.export.Dim("batch", min=1, max=8)
+    exp_program = torch.export.export(
+        model, (input_bs2,), dynamic_shapes=({0: dyn_batch},)
+    )
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport with dynamic dimensions
+    trt_exp_program = torch.export.export(
+        trt_module, (input_bs2,), dynamic_shapes=({0: dyn_batch},), strict=False
+    )
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    # TODO: Enable this serialization issues are fixed
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(input_bs2)
+    outputs_trt = trt_module(input_bs2)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model for batch size=2. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(input_bs2)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    input_bs6 = torch.randn((6, 3, 224, 224)).to("cuda")
+    outputs_pyt = model(input_bs6)
+    outputs_trt = trt_module(input_bs6)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(input_bs6)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+
+@pytest.mark.unit
+def test_resnet18_dynamic_fallback(ir):
+    """
+    This tests export save and load functionality on Resnet18 model with dynamic shapes and fallback
+    """
+    model = models.resnet18().eval().cuda()
+    input_bs2 = torch.randn((2, 3, 224, 224)).to("cuda")
+
+    compile_spec = {
+        "inputs": [
+            torchtrt.Input(
+                min_shape=(1, 3, 224, 224),
+                opt_shape=(4, 3, 224, 224),
+                max_shape=(8, 3, 224, 224),
+                dtype=torch.float32,
+                name="x",
+            )
+        ],
+        "ir": ir,
+        "torch_executed_ops": {"torch.ops.aten.convolution.default"},
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    dyn_batch = torch.export.Dim("batch", min=1, max=8)
+    exp_program = torch.export.export(
+        model, (input_bs2,), dynamic_shapes=({0: dyn_batch},)
+    )
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport with dynamic dimensions
+    trt_exp_program = torch.export.export(
+        trt_module,
+        (input_bs2,),
+        strict=False,
+        dynamic_shapes=({0: dyn_batch},),
+    )
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(input_bs2)
+    outputs_trt = trt_module(input_bs2)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model for batch size=2. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(input_bs2)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    input_bs6 = torch.randn((6, 3, 224, 224)).to("cuda")
+    outputs_pyt = model(input_bs6)
+    outputs_trt = trt_module(input_bs6)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(input_bs6)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_resnet18_dynamic TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+
+@pytest.mark.unit
+def test_bitwise_and_dynamic_fallback(ir):
+    """
+    This tests export save and load functionality on a bitwise_and model with dynamic shapes and fallback
+    """
+
+    class bitwise_and(torch.nn.Module):
+        def forward(self, lhs_val, rhs_val):
+            return torch.ops.aten.bitwise_and.Tensor(lhs_val, rhs_val)
+
+    dyn_dim = torch.export.Dim("dyn_dim", min=3, max=6)
+    lhs_4 = torch.randint(0, 2, (2, 4, 2), dtype=bool, device="cuda")
+    rhs_4 = torch.randint(0, 2, (4, 2), dtype=bool, device="cuda")
+    inputs_4 = (lhs_4, rhs_4)
+    torchtrt_inputs = [
+        torchtrt.Input(shape=lhs_4.shape, dtype=torch.bool),
+        torchtrt.Input(shape=rhs_4.shape, dtype=torch.bool),
+    ]
+    model = bitwise_and()
+    compile_spec = {
+        "inputs": torchtrt_inputs,
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    exp_program = torch.export.export(
+        model,
+        inputs_4,
+        dynamic_shapes={"lhs_val": {1: dyn_dim}, "rhs_val": {0: dyn_dim}},
+    )
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport with dynamic dimensions
+    trt_exp_program = torch.export.export(
+        trt_module,
+        inputs_4,
+        strict=False,
+        dynamic_shapes={"lhs_val": {1: dyn_dim}, "rhs_val": {0: dyn_dim}},
+    )
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(*inputs_4)
+    outputs_trt = trt_module(*inputs_4)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_bitwise_and_dynamic_fallback TRT outputs don't match with the original model with inputs_4. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(*inputs_4)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_bitwise_and_dynamic_fallback TRT outputs don't match with the original model with inputs_4. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    lhs_6 = torch.randint(0, 2, (2, 6, 2), dtype=bool, device="cuda")
+    rhs_6 = torch.randint(0, 2, (6, 2), dtype=bool, device="cuda")
+    inputs_6 = (lhs_6, rhs_6)
+
+    outputs_pyt = model(*inputs_6)
+    outputs_trt = trt_module(*inputs_6)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_bitwise_and_dynamic_fallback TRT outputs don't match with the original model with inputs_6. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(*inputs_6)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_bitwise_and_dynamic_fallback TRT outputs don't match with the original model with inputs_6. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+
+@pytest.mark.unit
+def test_random_dynamic_fallback(ir):
+    """
+    This tests export save and load functionality on a random model with dynamic shapes and fallback
+    """
+
+    class NeuralNetwork(nn.Module):
+        def __init__(self):
+            super(NeuralNetwork, self).__init__()
+            self.linear_relu_stack = nn.Sequential(
+                nn.Linear(28 * 28, 512),
+                nn.ReLU(),
+                nn.Linear(512, 512),
+                nn.ReLU(),
+                nn.Linear(512, 10),
+            )
+
+        def forward(self, x):
+            logits = self.linear_relu_stack(x)
+            return logits
+
+    model = NeuralNetwork().cuda()
+    inputs = [
+        torchtrt.Input(
+            min_shape=(1, 784),
+            opt_shape=(50, 784),
+            max_shape=(64, 784),
+            dtype=torch.float32,
+        )
+    ]
+    torch_inputs_bs50 = (torch.randn((50, 784), dtype=torch.float32).cuda(),)
+    compile_spec = {
+        "inputs": inputs,
+        "ir": ir,
+        "min_block_size": 1,
+        "cache_built_engines": False,
+        "reuse_cached_engines": False,
+    }
+
+    dyn_dim = torch.export.Dim("batch", min=1, max=64)
+    exp_program = torch.export.export(
+        model, torch_inputs_bs50, dynamic_shapes=({0: dyn_dim},)
+    )
+    trt_module = torchtrt.dynamo.compile(exp_program, **compile_spec)
+
+    # Reexport with dynamic dimensions
+    trt_exp_program = torch.export.export(
+        trt_module, torch_inputs_bs50, strict=False, dynamic_shapes=({0: dyn_dim},)
+    )
+    torch.export.save(trt_exp_program, trt_ep_path)
+
+    # Test with BS=50
+    deser_trt_module = torchtrt.load(trt_ep_path).module()
+    outputs_pyt = model(*torch_inputs_bs50)
+    outputs_trt = trt_module(*torch_inputs_bs50)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_random_dynamic_fallback TRT outputs don't match with the original model with inputs bs=50. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(*torch_inputs_bs50)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_random_dynamic_fallback TRT outputs don't match with the original model with inputs bs=50. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    # Test with BS=62
+    torch_inputs_bs62 = (torch.randn((62, 784), dtype=torch.float32).cuda(),)
+    outputs_pyt = model(*torch_inputs_bs62)
+    outputs_trt = trt_module(*torch_inputs_bs62)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_random_dynamic_fallback TRT outputs don't match with the original model with inputs bs=62. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
+
+    outputs_trt_deser = deser_trt_module(*torch_inputs_bs62)
+    cos_sim = cosine_similarity(outputs_pyt, outputs_trt_deser)
+    assertions.assertTrue(
+        cos_sim > COSINE_THRESHOLD,
+        msg=f"test_random_dynamic_fallback TRT outputs don't match with the original model with inputs bs=62. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
+    )
diff --git a/toolchains/ci_workspaces/MODULE_tensorrt.bazel.tmpl b/toolchains/ci_workspaces/MODULE_tensorrt.bazel.tmpl
new file mode 100644
index 0000000000..aff07a0383
--- /dev/null
+++ b/toolchains/ci_workspaces/MODULE_tensorrt.bazel.tmpl
@@ -0,0 +1,115 @@
+module(
+    name = "torch_tensorrt",
+    repo_name = "org_pytorch_tensorrt",
+    version = "${BUILD_VERSION}"
+)
+
+bazel_dep(name = "googletest", version = "1.14.0")
+bazel_dep(name = "platforms", version = "0.0.10")
+bazel_dep(name = "rules_cc", version = "0.0.9")
+bazel_dep(name = "rules_python", version = "0.34.0")
+
+python = use_extension("@rules_python//python/extensions:python.bzl", "python")
+python.toolchain(
+    ignore_root_user_error = True,
+    python_version = "3.11",
+)
+
+bazel_dep(name = "rules_pkg", version = "1.0.1")
+git_override(
+    module_name = "rules_pkg",
+    commit = "17c57f4",
+    remote = "https://github.com/narendasan/rules_pkg",
+)
+
+local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "local_repository")
+
+# External dependency for torch_tensorrt if you already have precompiled binaries.
+local_repository(
+    name = "torch_tensorrt",
+    path = "/opt/conda/lib/python3.8/site-packages/torch_tensorrt",
+)
+
+
+new_local_repository = use_repo_rule("@bazel_tools//tools/build_defs/repo:local.bzl", "new_local_repository")
+
+# CUDA should be installed on the system locally
+new_local_repository(
+    name = "cuda",
+    build_file = "@//third_party/cuda:BUILD",
+    path = "${CUDA_HOME}",
+)
+
+new_local_repository(
+    name = "cuda_win",
+    build_file = "@//third_party/cuda:BUILD",
+    path = "${CUDA_HOME}",
+)
+
+
+http_archive = use_repo_rule("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
+
+#############################################################################################################
+# Tarballs and fetched dependencies (default - use in cases when building from precompiled bin and tarballs)
+#############################################################################################################
+
+http_archive(
+    name = "libtorch",
+    build_file = "@//third_party/libtorch:BUILD",
+    strip_prefix = "libtorch",
+    urls = ["https://download.pytorch.org/libtorch/${CHANNEL}/${CU_VERSION}/libtorch-cxx11-abi-shared-with-deps-latest.zip"],
+)
+
+# Download these tarballs manually from the NVIDIA website
+# Either place them in the distdir directory in third_party and use the --distdir flag
+# or modify the urls to "file:///<PATH TO TARBALL>/<TARBALL NAME>.tar.gz
+
+http_archive(
+    name = "tensorrt",
+    build_file = "@//third_party/tensorrt/archive:BUILD",
+    sha256 = "${TENSORRT_SHA256}",
+    strip_prefix = "${TENSORRT_STRIP_PREFIX}",
+    urls = [
+        "${TENSORRT_URLS}",
+    ],
+)
+
+http_archive(
+    name = "tensorrt_win",
+    build_file = "@//third_party/tensorrt/archive:BUILD",
+    sha256 = "${TENSORRT_SHA256}",
+    strip_prefix = "${TENSORRT_STRIP_PREFIX}",
+    urls = [
+        "${TENSORRT_URLS}",
+    ],
+)
+
+
+####################################################################################
+# Locally installed dependencies (use in cases of custom dependencies or aarch64)
+####################################################################################
+
+# NOTE: In the case you are using just the pre-cxx11-abi path or just the cxx11 abi path
+# with your local libtorch, just point deps at the same path to satisfy bazel.
+
+# NOTE: NVIDIA's aarch64 PyTorch (python) wheel file uses the CXX11 ABI unlike PyTorch's standard
+# x86_64 python distribution. If using NVIDIA's version just point to the root of the package
+# for both versions here and do not use --config=pre-cxx11-abi
+
+new_local_repository(
+    name = "libtorch_win",
+    path = "${TORCH_INSTALL_PATH}",
+    build_file = "third_party/libtorch/BUILD"
+)
+
+new_local_repository(
+    name = "libtorch_pre_cxx11_abi",
+    path = "${TORCH_INSTALL_PATH}",
+    build_file = "third_party/libtorch/BUILD"
+)
+
+#new_local_repository(
+#   name = "tensorrt",
+#   path = "/usr/",
+#   build_file = "@//third_party/tensorrt/local:BUILD"
+#)