Update the version numbers

NVIDIA-Merlin · Nov 2, 2022 · 4cc4c10 · 4cc4c10
1 parent 11d1acc
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Showing 29 changed files with 43 additions and 43 deletions.
diff --git a/HugeCTR/include/common.hpp b/HugeCTR/include/common.hpp
@@ -60,8 +60,8 @@
 namespace HugeCTR {
 
 #define HUGECTR_VERSION_MAJOR 4
-#define HUGECTR_VERSION_MINOR 0
-#define HUGECTR_VERSION_PATCH 0
+#define HUGECTR_VERSION_MINOR 1
+#define HUGECTR_VERSION_PATCH 1
 
 #define WARP_SIZE 32
 

diff --git a/README.md b/README.md
@@ -42,7 +42,7 @@ If you'd like to quickly train a model using the Python interface, do the follow
 
 1. Start a NGC container with your local host directory (/your/host/dir mounted) by running the following command:
    ```
-   docker run --gpus=all --rm -it --cap-add SYS_NICE -v /your/host/dir:/your/container/dir -w /your/container/dir -it -u $(id -u):$(id -g) nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   docker run --gpus=all --rm -it --cap-add SYS_NICE -v /your/host/dir:/your/container/dir -w /your/container/dir -it -u $(id -u):$(id -g) nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
    **NOTE**: The **/your/host/dir** directory is just as visible as the **/your/container/dir** directory. The **/your/host/dir** directory is also your starting directory.

diff --git a/docs/source/hierarchical_parameter_server/hps_tf_user_guide.md b/docs/source/hierarchical_parameter_server/hps_tf_user_guide.md
@@ -84,7 +84,7 @@ HPS is included in the Merlin Docker containers that are available from the [NVI
 The following sample command pulls and starts the Merlin TensorFlow container:
 ```shell
 # Run the container in interactive mode
-$ docker run --gpus=all --rm -it --cap-add SYS_NICE nvcr.io/nvidia/merlin/merlin-tensorflow:22.09
+$ docker run --gpus=all --rm -it --cap-add SYS_NICE nvcr.io/nvidia/merlin/merlin-tensorflow:22.10
 ```
 You can check the existence of the HPS Python toolkit after launching this container:
 ```shell

diff --git a/docs/source/hugectr_user_guide.md b/docs/source/hugectr_user_guide.md
@@ -82,7 +82,7 @@ The following sample command pulls and starts the Merlin Training container:
 
 ```shell
 # Run the container in interactive mode
-$ docker run --gpus=all --rm -it --cap-add SYS_NICE nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+$ docker run --gpus=all --rm -it --cap-add SYS_NICE nvcr.io/nvidia/merlin/merlin-hugectr:22.10
 ```
 
 ### Building HugeCTR from Scratch

diff --git a/hierarchical_parameter_server/notebooks/README.md b/hierarchical_parameter_server/notebooks/README.md
@@ -13,7 +13,7 @@ If you prefer to build the HugeCTR Docker image on your own, refer to [Set Up th
 Pull the container using the following command:
 
 ```shell
-docker pull nvcr.io/nvidia/merlin/merlin-tensorflow:22.09
+docker pull nvcr.io/nvidia/merlin/merlin-tensorflow:22.10
 ```
 
 ### Clone the HugeCTR Repository
@@ -28,7 +28,7 @@ git clone https://github.com/NVIDIA/HugeCTR
 1. Launch the container in interactive mode (mount the HugeCTR root directory into the container for your convenience) by running this command:
 
    ```shell
-   docker run --runtime=nvidia --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr -p 8888:8888 nvcr.io/nvidia/merlin/merlin-tensorflow:22.09
+   docker run --runtime=nvidia --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr -p 8888:8888 nvcr.io/nvidia/merlin/merlin-tensorflow:22.10
    ```
 
 2. Start Jupyter using these commands: 

diff --git a/hierarchical_parameter_server/notebooks/hierarchical_parameter_server_demo.ipynb b/hierarchical_parameter_server/notebooks/hierarchical_parameter_server_demo.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 22.09 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09`.\n",
+    "The HPS Python module is preinstalled in the 22.10 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/hierarchical_parameter_server/notebooks/hps_multi_table_sparse_input_demo.ipynb b/hierarchical_parameter_server/notebooks/hps_multi_table_sparse_input_demo.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 22.09 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09`.\n",
+    "The HPS Python module is preinstalled in the 22.10 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/hierarchical_parameter_server/notebooks/hps_pretrained_model_training_demo.ipynb b/hierarchical_parameter_server/notebooks/hps_pretrained_model_training_demo.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 22.09 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09`.\n",
+    "The HPS Python module is preinstalled in the 22.10 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/hierarchical_parameter_server/notebooks/hps_tensorflow_triton_deployment_demo.ipynb b/hierarchical_parameter_server/notebooks/hps_tensorflow_triton_deployment_demo.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 22.09 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09`.\n",
+    "The HPS Python module is preinstalled in the 22.10 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/hierarchical_parameter_server/notebooks/sok_to_hps_dlrm_demo.ipynb b/hierarchical_parameter_server/notebooks/sok_to_hps_dlrm_demo.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Get SOK from NGC\n",
     "\n",
-    "Both SOK and HPS Python modules are preinstalled in the 22.09 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09`.\n",
+    "Both SOK and HPS Python modules are preinstalled in the 22.10 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/notebooks/README.md b/notebooks/README.md
@@ -14,10 +14,10 @@ If you prefer to build the HugeCTR Docker image on your own, refer to [Set Up th
 Pull the container using the following command:
 
 ```shell
-docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
 ```
 
-> To run the Sparse Operation Kit notebooks, pull the `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09` container.
+> To run the Sparse Operation Kit notebooks, pull the `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10` container.
 
 ### Clone the HugeCTR Repository
 
@@ -32,10 +32,10 @@ git clone https://github.com/NVIDIA/HugeCTR
 1. Launch the container in interactive mode (mount the HugeCTR root directory into the container for your convenience) by running this command:
 
    ```shell
-   docker run --runtime=nvidia --rm -it --cap-add SYS_NICE --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr -p 8888:8888 nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   docker run --runtime=nvidia --rm -it --cap-add SYS_NICE --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr -p 8888:8888 nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```  
 
-   > To run the  Sparse Operation Kit notebooks, specify the `nvcr.io/nvidia/merlin/merlin-tensorflow:22.09` container.
+   > To run the  Sparse Operation Kit notebooks, specify the `nvcr.io/nvidia/merlin/merlin-tensorflow:22.10` container.
 
 2. Start Jupyter using these commands: 
 

diff --git a/notebooks/continuous_training.ipynb b/notebooks/continuous_training.ipynb
@@ -29,7 +29,7 @@
     "\n",
     "### Get HugeCTR from NGC\n",
     "\n",
-    "The continuous training module is preinstalled in the 22.09 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "The continuous training module is preinstalled in the 22.10 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "\n",
     "You can check the existence of required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/notebooks/hps_demo.ipynb b/notebooks/hps_demo.ipynb
@@ -32,7 +32,7 @@
     "\n",
     "### Get HugeCTR from NGC\n",
     "\n",
-    "The HugeCTR Python module is preinstalled in the 22.09 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "The HugeCTR Python module is preinstalled in the 22.10 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "\n",
     "You can check the existence of required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/notebooks/hugectr2onnx_demo.ipynb b/notebooks/hugectr2onnx_demo.ipynb
@@ -36,7 +36,7 @@
    "source": [
     "## Access the HugeCTR to ONNX Converter\n",
     "\n",
-    "Make sure that you start the notebook inside a running 22.09 or later NGC docker container: `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "Make sure that you start the notebook inside a running 22.10 or later NGC docker container: `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "The module of the ONNX converter is installed to the path `/usr/local/lib/python3.8/dist-packages`.\n",
     "As for HugeCTR Python interface, a dynamic link to the `hugectr.so` library is installed to the path `/usr/local/hugectr/lib/`.\n",
     "You can access the ONNX converter as well as HugeCTR Python interface anywhere within the container."

diff --git a/notebooks/hugectr_criteo.ipynb b/notebooks/hugectr_criteo.ipynb
@@ -42,7 +42,7 @@
     "\n",
     "### Get HugeCTR from NGC\n",
     "\n",
-    "The HugeCTR Python module is preinstalled in the 22.09 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "The HugeCTR Python module is preinstalled in the 22.10 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/notebooks/movie-lens-example.ipynb b/notebooks/movie-lens-example.ipynb
@@ -55,7 +55,7 @@
     "\n",
     "### Docker containers\n",
     "\n",
-    "Start the notebook inside a running 22.09 or later NGC Docker container: `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "Start the notebook inside a running 22.10 or later NGC Docker container: `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "The HugeCTR Python interface is installed to the path `/usr/local/hugectr/lib/` and the path is added to the environment variable `PYTHONPATH`.\n",
     "You can use the HugeCTR Python interface within the Docker container without any additional configuration.\n",
     "\n",

diff --git a/notebooks/multi_gpu_offline_inference.ipynb b/notebooks/multi_gpu_offline_inference.ipynb
@@ -34,7 +34,7 @@
     "\n",
     "### Get HugeCTR from NGC\n",
     "\n",
-    "The HugeCTR Python module is preinstalled in the 22.09 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "The HugeCTR Python module is preinstalled in the 22.10 and later [Merlin Training Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "\n",
     "You can check the existence of required libraries by running the following Python code after launching this container.\n",
     "\n",

diff --git a/notebooks/news-example.ipynb b/notebooks/news-example.ipynb
@@ -31,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Please remember to run this jupyter notebook in the [merlin-hugectr:22.09](https://ngc.nvidia.com/catalog/containers/nvidia:merlin:merlin-hugectr) docker container."
+    "Please remember to run this jupyter notebook in the [merlin-hugectr:22.10](https://ngc.nvidia.com/catalog/containers/nvidia:merlin:merlin-hugectr) docker container."
    ]
   },
   {

diff --git a/notebooks/training_with_remote_filesystem.ipynb b/notebooks/training_with_remote_filesystem.ipynb
@@ -32,7 +32,7 @@
    "metadata": {},
    "source": [
     "## Get HugeCTR from NGC\n",
-    "The HugeCTR Python module is preinstalled in the 22.09 and later [Merlin Training Container](https://ngc.nvidia.com/catalog/containers/nvidia:merlin:merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.09`.\n",
+    "The HugeCTR Python module is preinstalled in the 22.10 and later [Merlin Training Container](https://ngc.nvidia.com/catalog/containers/nvidia:merlin:merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:22.10`.\n",
     "\n",
     "You can check the existence of required libraries by running the following Python code after launching the container.\n",
     "\n",

diff --git a/samples/criteo/README.md b/samples/criteo/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```  
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/criteo_multi_slots/README.md b/samples/criteo_multi_slots/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running this command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/dcn/README.md b/samples/dcn/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/deepfm/README.md b/samples/deepfm/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/din/README.md b/samples/din/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/dlrm/README.md b/samples/dlrm/README.md
@@ -16,11 +16,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/mmoe/README.md b/samples/mmoe/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###

diff --git a/samples/ncf/README.md b/samples/ncf/README.md
@@ -11,11 +11,11 @@ HugeCTR is available as buildable source code, but the easiest way to install an
 
 1. Pull the HugeCTR NGC Docker by running the following command:
    ```bash
-   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 2. Launch the container in interactive mode with the HugeCTR root directory mounted into the container by running the following command:
    ```bash
-   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.09
+   $ docker run --gpus=all --rm -it --cap-add SYS_NICE -u $(id -u):$(id -g) -v $(pwd):/hugectr -w /hugectr nvcr.io/nvidia/merlin/merlin-hugectr:22.10
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###