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Update AMX document
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recipes_source/amx.rst

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For more detailed information of oneDNN, see `oneDNN`_.
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The operation is fully handled by oneDNN according to the execution code path generated. I.e. when a supported operation gets executed into oneDNN implementation on a hardware platform with AMX support, AMX instructions will be invoked automatically inside oneDNN.
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No manual operations are required to enable this feature.
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Since oneDNN is the default acceleration library for CPU, no manual operations are required to enable the AMX support.
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- BF16 CPU ops that can leverage AMX:
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``conv_transpose3d``,
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``linear``
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Note: For quantized linear, whether to leverage AMX depends on which quantization backend to choose.
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At present, x86 quantization backend is used by default for quantized linear, using fbgemm, while users can specify onednn backend to turn on AMX for quantized linear.
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Guidelines of leveraging AMX with workloads
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