@@ -16,7 +16,7 @@ The images below include support for both CPU and GPU optimizations:
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| Tag(s) | TensorFlow | ITEX | Driver | Dockerfile |
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| ---------------------- | ----------- | -------------- | ------- | --------------- |
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- | ` 2.15.0.1-xpu ` , ` xpu ` | [ v2.15.1] | [ v2.15.0.1] | [ 803.63] | [ v0.4.0-Beta] |
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+ | ` 2.15.0.1-xpu-pip-base ` , ` xpu ` | [ v2.15.1] | [ v2.15.0.1] | [ 803.63] | [ v0.4.0-Beta] |
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| ` 2.15.0.0-xpu ` | [ v2.15.0] | [ v2.15.0.0] | [ 803] | [ v0.4.0-Beta] |
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| ` 2.14.0.1-xpu ` | [ v2.14.1] | [ v2.14.0.1] | [ 736] | [ v0.3.4] |
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| ` 2.13.0.0-xpu ` | [ v2.13.0] | [ v2.13.0.0] | [ 647] | [ v0.2.3] |
@@ -37,7 +37,7 @@ The images below additionally include [Jupyter Notebook](https://jupyter.org/) s
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| Tag(s) | TensorFlow | IPEX | Driver | Dockerfile |
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| ------------- | ----------- | ------------- | ------ | --------------- |
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- | ` 2.15.0.1-xpu-jupyter ` | [ v2.15.1] | [ v2.15.0.1] | [ 803.63] | [ v0.4.0-Beta] |
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+ | ` 2.15.0.1-xpu-pip- jupyter ` | [ v2.15.1] | [ v2.15.0.1] | [ 803.63] | [ v0.4.0-Beta] |
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| ` xpu-jupyter ` | [ v2.14.1] | [ v2.14.0.1] | [ 736] | [ v0.3.4] |
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### Run the XPU Jupyter Container
@@ -49,7 +49,7 @@ docker run -it --rm \
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--device /dev/dri \
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-v /dev/dri/by-path:/dev/dri/by-path \
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--ipc=host \
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- intel/intel-extension-for-tensorflow:2.15.0.1-xpu-jupyter
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+ intel/intel-extension-for-tensorflow:2.15.0.1-xpu-pip- jupyter
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```
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After running the command above, copy the URL (something like ` http://127.0.0.1:$PORT/?token=*** ` ) into your browser to access the notebook server.
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