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Update supported architectures doc

This commit is contained in:
Reuben Morais 2021-07-29 16:34:49 +02:00
parent c69735e3b6
commit d119957586
1 changed files with 10 additions and 29 deletions
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doc/SUPPORTED_PLATFORMS.rst
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@ -7,65 +7,46 @@ Here we maintain the list of supported platforms for deployment.
*Note that 🐸STT currently only provides packages for CPU deployment with Python 3.5 or higher on Linux. We're working to get the rest of our usually supported packages back up and running as soon as possible.*
Linux / AMD64 without GPU
Linux / AMD64
^^^^^^^^^^^^^^^^^^^^^^^^^
* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance)
* Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
* Full TensorFlow runtime (``stt`` packages)
* TensorFlow Lite runtime (``stt-tflite`` packages)
Linux / AMD64 with GPU
^^^^^^^^^^^^^^^^^^^^^^
* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance)
* Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
* CUDA 10.0 (and capable GPU)
* Full TensorFlow runtime (``stt`` packages)
* TensorFlow Lite runtime (``stt-tflite`` packages)
* glibc >= 2.24, libstdc++6 >= 6.3
* TensorFlow Lite runtime
Linux / ARMv7
^^^^^^^^^^^^^
* Cortex-A53 compatible ARMv7 SoC with Neon support
* Raspbian Buster-compatible distribution
* TensorFlow Lite runtime (``stt-tflite`` packages)
* TensorFlow Lite runtime
Linux / Aarch64
^^^^^^^^^^^^^^^
* Cortex-A72 compatible Aarch64 SoC
* ARMbian Buster-compatible distribution
* TensorFlow Lite runtime (``stt-tflite`` packages)
* TensorFlow Lite runtime
Android / ARMv7
^^^^^^^^^^^^^^^
* ARMv7 SoC with Neon support
* Android 7.0-10.0
* NDK API level >= 21
* TensorFlow Lite runtime (``stt-tflite`` packages)
* TensorFlow Lite runtime
Android / Aarch64
^^^^^^^^^^^^^^^^^
* Aarch64 SoC
* Android 7.0-10.0
* NDK API level >= 21
* TensorFlow Lite runtime (``stt-tflite`` packages)
* TensorFlow Lite runtime
macOS / AMD64
^^^^^^^^^^^^^
* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance)
* macOS >= 10.10
* Full TensorFlow runtime (``stt`` packages)
* TensorFlow Lite runtime (``stt-tflite`` packages)
* TensorFlow Lite runtime
Windows / AMD64 without GPU
Windows / AMD64
^^^^^^^^^^^^^^^^^^^^^^^^^^^
* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance)
* Windows Server >= 2012 R2 ; Windows >= 8.1
* Full TensorFlow runtime (``stt`` packages)
* TensorFlow Lite runtime (``stt-tflite`` packages)
Windows / AMD64 with GPU
^^^^^^^^^^^^^^^^^^^^^^^^
* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down performance)
* Windows Server >= 2012 R2 ; Windows >= 8.1
* CUDA 10.0 (and capable GPU)
* Full TensorFlow runtime (``stt`` packages)
* TensorFlow Lite runtime (``stt-tflite`` packages)
* TensorFlow Lite runtime