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docs/7.0-b
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docs/7.0-a
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f16cfd81c7 | ||
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fbca8fd5e8 |
@@ -1,3 +1,9 @@
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IPC
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SPIR
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VFS
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builtins
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crosslane
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frontend
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Datacenter
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GST
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IET
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@@ -6,6 +6,15 @@
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Docker images for AI training and inference
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*******************************************
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.. note::
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For the latest iteration of AI training and inference performance for ROCm
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7.0, see `Infinity Hub
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<https://www.amd.com/en/developer/resources/infinity-hub.html#q=ROCm%207>`__
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and the `ROCm 7.0 AI training and inference performance
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<https://rocm.docs.amd.com/en/docs-7.0-docker/benchmark-docker/index.html>`__
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documentation.
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This page accompanies preview Docker images designed to validate and reproduce
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training performance on AMD Instinct™ MI355X and MI350X accelerators. The images provide access to
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Alpha versions of the ROCm 7.0 software stack and are targeted at early-access users evaluating
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@@ -2,6 +2,15 @@
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Benchmarking Llama 3 8B pre-training with Megatron-LM
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*****************************************************
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.. note::
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For the latest iteration of AI training and inference performance for ROCm
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7.0, see `Infinity Hub
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<https://www.amd.com/en/developer/resources/infinity-hub.html#q=ROCm%207>`__
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and the `ROCm 7.0 AI training and inference performance
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<https://rocm.docs.amd.com/en/docs-7.0-docker/benchmark-docker/index.html>`__
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documentation.
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This section details how to benchmark Llama 3 8B pre-training using the
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Megatron-LM framework. It includes configurations for both ``FP8`` and
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``BF16`` precision to measure throughput.
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@@ -2,6 +2,15 @@
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Benchmarking Llama 3 70B pre-training with torchtitan
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*****************************************************
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.. note::
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For the latest iteration of AI training and inference performance for ROCm
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7.0, see `Infinity Hub
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<https://www.amd.com/en/developer/resources/infinity-hub.html#q=ROCm%207>`__
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and the `ROCm 7.0 AI training and inference performance
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<https://rocm.docs.amd.com/en/docs-7.0-docker/benchmark-docker/index.html>`__
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documentation.
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This guide provides instructions for benchmarking the pre-training throughput
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of the Llama 3 70B model using torchtitan. By following these steps, you will
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use a pre-configured Docker container, download the necessary Llama 3 assets,
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@@ -2,6 +2,15 @@
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Benchmark model training
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************************
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.. note::
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For the latest iteration of AI training and inference performance for ROCm
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7.0, see `Infinity Hub
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<https://www.amd.com/en/developer/resources/infinity-hub.html#q=ROCm%207>`__
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and the `ROCm 7.0 AI training and inference performance
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<https://rocm.docs.amd.com/en/docs-7.0-docker/benchmark-docker/index.html>`__
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documentation.
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The process of training models is computationally intensive, requiring
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specialized hardware like GPUs to accelerate computations and reduce training
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time. Training models on AMD GPUs involves leveraging the parallel processing
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@@ -17,8 +17,8 @@ features under development for testing so users can provide feedback.
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It is not recommended for production use.
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```{note}
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For the latest stable release for production use, see the [ROCm 6.4.2 documentation](https://rocm.docs.amd.com/en/latest/).
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For the previous ROCm 7.0 Alpha preview, see [ROCm 7.0 Alpha documentation](https://rocm.docs.amd.com/en/docs-7.0-alpha/preview/index.html).
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For the latest stable release for use in production, see the [ROCm documentation](https://rocm.docs.amd.com/en/latest/).
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For a complete list of ROCm 7.0 preview releases, see the [ROCm 7.0 preview release history](versions.md).
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```
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The documentation includes:
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@@ -11,8 +11,7 @@ expect issues and limitations that will be addressed in upcoming previews.
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.. important::
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The Alpha 2 release is not intended for performance evaluation.
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For the latest stable release with production-level functionality,
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see `ROCm 6.4.2 documentation <https://rocm.docs.amd.com/en/latest/>`_.
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For the latest stable release for use in production, see the [ROCm documentation](https://rocm.docs.amd.com/en/latest/).
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This page provides a high-level summary of key changes added to the Alpha 2
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release since `the previous Alpha
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@@ -1,14 +0,0 @@
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:orphan:
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<head>
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<meta charset="UTF-8">
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<meta name="description" content="ROCm preview release history">
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<meta name="keywords" content="documentation, release history, ROCm, AMD, alpha, beta">
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</head>
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# ROCm 7.0 preview release history
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| Preview version | Release date |
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| --------------- | ------------ |
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| [Alpha 2](https://rocm.docs.amd.com/en/docs-7.0-alpha-2/preview/index.html) | July 10, 2025 |
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| [Alpha](https://rocm.docs.amd.com/en/docs-7.0-alpha/preview/index.html) | June 26, 2025 |
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27
docs/preview/versions.rst
Normal file
27
docs/preview/versions.rst
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:orphan:
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********************************
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ROCm 7.0 preview release history
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********************************
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.. list-table::
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:header-rows: 1
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* - Preview version
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- Release date
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* - `RC1 <https://rocm.docs.amd.com/en/docs-7.0-rc1/preview/index.html>`__
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- August 7, 2025
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* - `Beta <https://rocm.docs.amd.com/en/docs-7.0-beta/preview/index.html>`__
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- July 24, 2025
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* - `Alpha 2 <https://rocm.docs.amd.com/en/docs-7.0-alpha-2/preview/index.html>`__
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- July 10, 2025
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* - `Alpha <https://rocm.docs.amd.com/en/docs-7.0-alpha/preview/index.html>`__
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- June 26, 2025
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.. seealso::
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For stable ROCm releases, see `ROCm release history <https://rocm.docs.amd.com/en/latest/release/versions.html>`__.
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