Merge branch 'update_hugectr_version_23.6.0' into 'main'

Update new version: 23.6.0 See merge request dl/hugectr/hugectr!1388
NVIDIA-Merlin · Jun 14, 2023 · cfe69e2 · cfe69e2
2 parents fda5fed + f860a3b
commit cfe69e2
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diff --git a/HugeCTR/include/common.hpp b/HugeCTR/include/common.hpp
@@ -58,7 +58,7 @@
 namespace HugeCTR {
 
 #define HUGECTR_VERSION_MAJOR 23
-#define HUGECTR_VERSION_MINOR 5
+#define HUGECTR_VERSION_MINOR 6
 #define HUGECTR_VERSION_PATCH 0
 
 #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:23.05
+   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:23.06
    ```
 
    **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/profiling_hps.md b/docs/source/hierarchical_parameter_server/profiling_hps.md
@@ -67,13 +67,13 @@ To build HPS profiler from source, do the following:
 Pull the container using the following command:
 
 ```shell
-docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.05
+docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
 ```
 
 Launch the container in interactive mode (mount the HugeCTR root directory into the container for your convenience) by running this command:
 
    ```shell
-   docker run --gpus all --rm -it --cap-add SYS_NICE --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -u root -v $(pwd):/HugeCTR -w /HugeCTR -p 8888:8888 nvcr.io/nvidia/merlin/merlin-hugectr:23.05
+   docker run --gpus all --rm -it --cap-add SYS_NICE --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -u root -v $(pwd):/HugeCTR -w /HugeCTR -p 8888:8888 nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```  
 
 3. Here is an example of how you can build HPS Profiler  using the build options:

diff --git a/docs/source/hugectr_user_guide.md b/docs/source/hugectr_user_guide.md
@@ -83,7 +83,7 @@ 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:23.05
+$ docker run --gpus=all --rm -it --cap-add SYS_NICE nvcr.io/nvidia/merlin/merlin-hugectr:23.06
 ```
 
 ### Building HugeCTR from Scratch

diff --git a/hps_tf/hps_cc/config.hpp b/hps_tf/hps_cc/config.hpp
@@ -15,7 +15,7 @@
  */
 #pragma once
 
-// TODO: The configurations are not needed anymore in merlin-base:23.05
+// TODO: The configurations are not needed anymore in merlin-base:23.06
 // #include <absl/base/options.h>
 // #undef ABSL_OPTION_USE_STD_STRING_VIEW
 // #define ABSL_OPTION_USE_STD_STRING_VIEW 0
diff --git a/hps_tf/notebooks/hierarchical_parameter_server_demo.ipynb b/hps_tf/notebooks/hierarchical_parameter_server_demo.ipynb
@@ -58,7 +58,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "The HPS Python module is preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\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/hps_tf/notebooks/hps_multi_table_sparse_input_demo.ipynb b/hps_tf/notebooks/hps_multi_table_sparse_input_demo.ipynb
@@ -58,7 +58,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "The HPS Python module is preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\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/hps_tf/notebooks/hps_pretrained_model_training_demo.ipynb b/hps_tf/notebooks/hps_pretrained_model_training_demo.ipynb
@@ -58,7 +58,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "The HPS Python module is preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\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/hps_tf/notebooks/hps_table_fusion_demo.ipynb b/hps_tf/notebooks/hps_table_fusion_demo.ipynb
@@ -57,7 +57,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "The HPS Python module is preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\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/hps_tf/notebooks/hps_tensorflow_triton_deployment_demo.ipynb b/hps_tf/notebooks/hps_tensorflow_triton_deployment_demo.ipynb
@@ -58,7 +58,7 @@
     "\n",
     "### Get HPS from NGC\n",
     "\n",
-    "The HPS Python module is preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "The HPS Python module is preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container.\n",
     "\n",
@@ -854,9 +854,9 @@
       "INFO:tensorflow:Automatic mixed precision has been deactivated.\n",
       "2022-11-23 01:37:23.028482: I tensorflow/core/grappler/devices.cc:66] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1\n",
       "2022-11-23 01:37:23.028568: I tensorflow/core/grappler/clusters/single_machine.cc:358] Starting new session\n",
-      "2022-11-23 01:37:23.051909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 30991 MB memory:  -> device: 0, name: Tesla V100-SXM2-32GB, pci bus id: 0000:06:00.0, compute capability: 7.0\n",
-      "2022-11-23 01:37:23.058593: W tensorflow/compiler/tf2tensorrt/convert/trt_optimization_pass.cc:198] Calibration with FP32 or FP16 is not implemented. Falling back to use_calibration = False.Note that the default value of use_calibration is True.\n",
-      "2022-11-23 01:37:23.059761: W tensorflow/compiler/tf2tensorrt/segment/segment.cc:952] \n",
+      "2022-11-23 01:37:23.061909: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 30991 MB memory:  -> device: 0, name: Tesla V100-SXM2-32GB, pci bus id: 0000:06:00.0, compute capability: 7.0\n",
+      "2022-11-23 01:37:23.068593: W tensorflow/compiler/tf2tensorrt/convert/trt_optimization_pass.cc:198] Calibration with FP32 or FP16 is not implemented. Falling back to use_calibration = False.Note that the default value of use_calibration is True.\n",
+      "2022-11-23 01:37:23.069761: W tensorflow/compiler/tf2tensorrt/segment/segment.cc:952] \n",
       "\n",
       "################################################################################\n",
       "TensorRT unsupported/non-converted OP Report:\n",
@@ -872,9 +872,9 @@
       "For more information see https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#supported-ops.\n",
       "################################################################################\n",
       "\n",
-      "2022-11-23 01:37:23.059860: W tensorflow/compiler/tf2tensorrt/segment/segment.cc:1280] The environment variable TF_TRT_MAX_ALLOWED_ENGINES=20 has no effect since there are only 1 TRT Engines with  at least minimum_segment_size=3 nodes.\n",
-      "2022-11-23 01:37:23.059893: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:799] Number of TensorRT candidate segments: 1\n",
-      "2022-11-23 01:37:23.050667: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:916] Replaced segment 0 consisting of 9 nodes by TRTEngineOp_000_000.\n"
+      "2022-11-23 01:37:23.069860: W tensorflow/compiler/tf2tensorrt/segment/segment.cc:1280] The environment variable TF_TRT_MAX_ALLOWED_ENGINES=20 has no effect since there are only 1 TRT Engines with  at least minimum_segment_size=3 nodes.\n",
+      "2022-11-23 01:37:23.069893: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:799] Number of TensorRT candidate segments: 1\n",
+      "2022-11-23 01:37:23.060667: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:916] Replaced segment 0 consisting of 9 nodes by TRTEngineOp_000_000.\n"
      ]
     },
     {

diff --git a/hps_tf/notebooks/sok_to_hps_dlrm_demo.ipynb b/hps_tf/notebooks/sok_to_hps_dlrm_demo.ipynb
@@ -58,7 +58,7 @@
     "\n",
     "### Get SOK from NGC\n",
     "\n",
-    "Both SOK and HPS Python modules are preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "Both SOK and HPS Python modules are preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\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/hps_trt/notebooks/demo_for_hugectr_trained_model.ipynb b/hps_trt/notebooks/demo_for_hugectr_trained_model.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Use NGC\n",
     "\n",
-    "The HPS TensorRT plugin is preinstalled in the 23.05 and later [Merlin HugeCTR Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:23.05`.\n",
+    "The HPS TensorRT plugin is preinstalled in the 23.06 and later [Merlin HugeCTR Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-hugectr): `nvcr.io/nvidia/merlin/merlin-hugectr:23.06`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container."
    ]

diff --git a/hps_trt/notebooks/demo_for_pytorch_trained_model.ipynb b/hps_trt/notebooks/demo_for_pytorch_trained_model.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Use NGC\n",
     "\n",
-    "The HPS TensorRT plugin is preinstalled in the 23.05 and later [Merlin PyTorch Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch): `nvcr.io/nvidia/merlin/merlin-pytorch:23.05`.\n",
+    "The HPS TensorRT plugin is preinstalled in the 23.06 and later [Merlin PyTorch Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-pytorch): `nvcr.io/nvidia/merlin/merlin-pytorch:23.06`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container."
    ]

diff --git a/hps_trt/notebooks/demo_for_tf_trained_model.ipynb b/hps_trt/notebooks/demo_for_tf_trained_model.ipynb
@@ -31,7 +31,7 @@
     "\n",
     "### Use NGC\n",
     "\n",
-    "The HPS TensorRT plugin is preinstalled in the 23.05 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05`.\n",
+    "The HPS TensorRT plugin is preinstalled in the 23.06 and later [Merlin TensorFlow Container](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/merlin/containers/merlin-tensorflow): `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06`.\n",
     "\n",
     "You can check the existence of the required libraries by running the following Python code after launching this container."
    ]

diff --git a/notebooks/README.md b/notebooks/README.md
@@ -19,16 +19,16 @@ git clone https://github.com/NVIDIA/HugeCTR
 Pull the container using the following command:
 
 ```shell
-docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.05
+docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
 ```
 
 Launch the container in interactive mode (mount the HugeCTR root directory into the container for your convenience) by running this command:
 
    ```shell
-   docker run --gpus all --rm -it --cap-add SYS_NICE --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -u root -v $(pwd):/HugeCTR -w /HugeCTR -p 8888:8888 nvcr.io/nvidia/merlin/merlin-hugectr:23.05
+   docker run --gpus all --rm -it --cap-add SYS_NICE --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 -u root -v $(pwd):/HugeCTR -w /HugeCTR -p 8888:8888 nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```  
 
-   > To run the  Sparse Operation Kit notebooks, specify the `nvcr.io/nvidia/merlin/merlin-tensorflow:23.05` container.
+   > To run the  Sparse Operation Kit notebooks, specify the `nvcr.io/nvidia/merlin/merlin-tensorflow:23.06` container.
 
 ## 3. Customized Building (Optional)
 

diff --git a/notebooks/movie-lens-example.ipynb b/notebooks/movie-lens-example.ipynb
@@ -1242,8 +1242,8 @@
       "[HCTR][08:54:59.305][INFO][RK0][main]: Iter: 10000 Time(1000 iters): 14.0335s Loss: 0.0474014 lr:0.099995\n",
       "[HCTR][08:55:08.171][INFO][RK0][main]: Iter: 11000 Time(1000 iters): 8.8579s Loss: 0.0336978 lr:0.0950576\n",
       "[HCTR][08:55:16.985][INFO][RK0][main]: Iter: 12000 Time(1000 iters): 8.80581s Loss: 0.0208526 lr:0.0902453\n",
-      "[HCTR][08:55:23.050][INFO][RK0][main]: Evaluation, AUC: 0.990911\n",
-      "[HCTR][08:55:23.050][INFO][RK0][main]: Eval Time for 1000 iters: 5.11441s\n",
+      "[HCTR][08:55:23.060][INFO][RK0][main]: Evaluation, AUC: 0.990911\n",
+      "[HCTR][08:55:23.060][INFO][RK0][main]: Eval Time for 1000 iters: 5.11441s\n",
       "[HCTR][08:55:30.936][INFO][RK0][main]: Iter: 13000 Time(1000 iters): 13.9421s Loss: 0.0173013 lr:0.0855579\n",
       "[HCTR][08:55:39.769][INFO][RK0][main]: Iter: 14000 Time(1000 iters): 8.82507s Loss: 0.0128202 lr:0.0809955\n",
       "[HCTR][08:55:48.619][INFO][RK0][main]: Iter: 15000 Time(1000 iters): 8.84112s Loss: 0.0100981 lr:0.0765581\n",

diff --git a/release_notes.md b/release_notes.md
@@ -1,6 +1,6 @@
 # Release Notes
 
-## What's New in Version 23.05
+## What's New in Version 23.06
 In this release, we have fixed issues and enhanced the code.
 
 + **3G Embedding Updates**:
@@ -130,7 +130,7 @@ In this release, we have fixed issues and enhanced the code.
 
   ```{important}
   In January 2023, the HugeCTR team plans to deprecate semantic versioning, such as `v4.3`.
-  Afterward, the library will use calendar versioning only, such as `v23.05`.
+  Afterward, the library will use calendar versioning only, such as `v23.06`.
   ```
 
 + **Support for BERT and Variants**:
@@ -212,7 +212,7 @@ The [HugeCTR Training and Inference with Remote File System Example](https://nvi
 
   ```{important}
   In January 2023, the HugeCTR team plans to deprecate semantic versioning, such as `v4.2`.
-  Afterward, the library will use calendar versioning only, such as `v23.05`.
+  Afterward, the library will use calendar versioning only, such as `v23.06`.
   ```
 
 + **Change to HPS with Redis or Kafka**:

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:23.05
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```
 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:23.05
+   $ 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:23.06
    ```  
 
 ### 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:23.05
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```
 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:23.05
+   $ 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:23.06
    ```
 
 ### 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:23.05
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```
 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:23.05
+   $ 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:23.06
    ```
 
 ### 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:23.05
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```
 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:23.05
+   $ 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:23.06
    ```
 
 ### 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:23.05
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```
 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:23.05
+   $ 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:23.06
    ```
 
 ### 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:23.05
+   $ docker pull nvcr.io/nvidia/merlin/merlin-hugectr:23.06
    ```
 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:23.05
+   $ 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:23.06
    ```
 
 ### Build the HugeCTR Docker Container on Your Own ###