[DOCS] Toctree update for Plugin articles for master (#20061)
* toctree update * Update step3_main.md
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<doxygenlayout version="1.0">
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<navindex>
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<!-- Steps -->
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<tab type="usergroup" url="index.html" visibile="yes" title="GUIDE">
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<tab type="usergroup" url="index.html" title="Developer Guide for OpenVINO Plugin Library">
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<tab type="user" url="@ref plugin" visibile="yes" title="Implement Plugin Functionality"/>
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<tab type="user" url="@ref compiled_model" visibile="yes" title="Implement Executable Network Functionality">
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<tab type="usergroup" title="Low Precision Transformations" url="@ref openvino_docs_OV_UG_lpt">
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<tab type="user" title="Attributes" url="@ref openvino_docs_OV_UG_lpt_attributes">
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<tab type="user" title="AvgPoolPrecisionPreserved" url="@ref openvino_docs_OV_UG_lpt_AvgPoolPrecisionPreserved"/>
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<tab type="user" title="IntervalsAlignment" url="@ref openvino_docs_OV_UG_lpt_IntervalsAlignment"/>
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<tab type="user" title="PrecisionPreserved" url="@ref openvino_docs_OV_UG_lpt_PrecisionPreserved"/>
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<tab type="user" title="Precisions" url="@ref openvino_docs_OV_UG_lpt_Precisions"/>
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<tab type="user" title="QuantizationAlignment" url="@ref openvino_docs_OV_UG_lpt_QuantizationAlignment"/>
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<tab type="user" title="QuantizationGranularity" url="@ref openvino_docs_OV_UG_lpt_QuantizationGranularity"/>
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</tab>
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<tab type="user" title="Step 1. Prerequisites transformations" url="@ref openvino_docs_OV_UG_lpt_step1_prerequisites">
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<tab type="user" title="LinOpSequenceFusion" url="@ref openvino_docs_OV_UG_lpt_LinOpSequenceFusion"/>
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<tab type="user" title="PullReshapeThroughDequantization" url="@ref openvino_docs_OV_UG_lpt_PullReshapeThroughDequantization"/>
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<tab type="user" title="PullTransposeThroughDequantization" url="@ref openvino_docs_OV_UG_lpt_PullTransposeThroughDequantization"/>
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</tab>
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<tab type="user" title="Step 2. Markup transformations" url="@ref openvino_docs_OV_UG_lpt_step2_markup">
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<tab type="user" title="AlignQuantizationIntervals" url="@ref openvino_docs_OV_UG_lpt_AlignQuantizationIntervals"/>
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<tab type="user" title="AlignQuantizationParameters" url="@ref openvino_docs_OV_UG_lpt_AlignQuantizationParameters"/>
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<tab type="user" title="CreateAttribute" url="@ref openvino_docs_OV_UG_lpt_CreateAttribute"/>
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<tab type="user" title="CreatePrecisionsDependentAttribute" url="@ref openvino_docs_OV_UG_lpt_CreatePrecisionsDependentAttribute"/>
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<tab type="user" title="MarkupAvgPoolPrecisionPreserved" url="@ref openvino_docs_OV_UG_lpt_MarkupAvgPoolPrecisionPreserved"/>
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<tab type="user" title="MarkupBias" url="@ref openvino_docs_OV_UG_lpt_MarkupBias"/>
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<tab type="user" title="MarkupCanBeQuantized" url="@ref openvino_docs_OV_UG_lpt_MarkupCanBeQuantized"/>
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<tab type="user" title="MarkupPerTensorQuantization" url="@ref openvino_docs_OV_UG_lpt_MarkupPerTensorQuantization"/>
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<tab type="user" title="MarkupPrecisions" url="@ref openvino_docs_OV_UG_lpt_MarkupPrecisions"/>
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<tab type="user" title="PropagatePrecisions" url="@ref openvino_docs_OV_UG_lpt_PropagatePrecisions"/>
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<tab type="user" title="PropagateThroughPrecisionPreserved" url="@ref openvino_docs_OV_UG_lpt_PropagateThroughPrecisionPreserved"/>
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<tab type="user" title="PropagateToInput" url="@ref openvino_docs_OV_UG_lpt_PropagateToInput"/>
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<tab type="user" title="UpdateSharedPrecisionPreserved" url="@ref openvino_docs_OV_UG_lpt_UpdateSharedPrecisionPreserved"/>
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</tab>
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<tab type="user" title="Step 3. Main transformations" url="@ref openvino_docs_OV_UG_lpt_step3_main">
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<tab type="user" title="AddTransformation" url="@ref openvino_docs_OV_UG_lpt_AddTransformation"/>
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<tab type="user" title="AvgPoolTransformation" url="@ref openvino_docs_OV_UG_lpt_AvgPoolTransformation"/>
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<tab type="user" title="BatchToSpaceTransformation" url="@ref openvino_docs_OV_UG_lpt_BatchToSpaceTransformation"/>
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<tab type="user" title="ClampTransformation" url="@ref openvino_docs_OV_UG_lpt_ClampTransformation"/>
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<tab type="user" title="ConcatTransformation" url="@ref openvino_docs_OV_UG_lpt_ConcatTransformation"/>
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<tab type="user" title="ConvolutionTransformation" url="@ref openvino_docs_OV_UG_lpt_ConvolutionTransformation"/>
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<tab type="user" title="ConvolutionBackpropDataTransformation" url="@ref openvino_docs_OV_UG_lpt_ConvolutionBackpropDataTransformation"/>
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<tab type="user" title="DepthToSpaceTransformation" url="@ref openvino_docs_OV_UG_lpt_DepthToSpaceTransformation"/>
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<tab type="user" title="FakeQuantizeDecompositionTransformation" url="@ref openvino_docs_OV_UG_lpt_FakeQuantizeDecompositionTransformation"/>
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<tab type="user" title="FakeQuantizeTransformation" url="@ref openvino_docs_OV_UG_lpt_FakeQuantizeTransformation"/>
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<tab type="user" title="InterpolateTransformation" url="@ref openvino_docs_OV_UG_lpt_InterpolateTransformation"/>
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<tab type="user" title="GatherTransformation" url="@ref openvino_docs_OV_UG_lpt_GatherTransformation"/>
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<tab type="user" title="GroupConvolutionTransformation" url="@ref openvino_docs_OV_UG_lpt_GroupConvolutionTransformation"/>
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<tab type="user" title="MatMulTransformation" url="@ref openvino_docs_OV_UG_lpt_MatMulTransformation"/>
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<tab type="user" title="MaxPoolTransformation" url="@ref openvino_docs_OV_UG_lpt_MaxPoolTransformation"/>
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<tab type="user" title="MultiplyTransformation" url="@ref openvino_docs_OV_UG_lpt_MultiplyTransformation"/>
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<tab type="user" title="MVNTransformation" url="@ref openvino_docs_OV_UG_lpt_MVNTransformation"/>
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<tab type="user" title="NormalizeL2Transformation" url="@ref openvino_docs_OV_UG_lpt_NormalizeL2Transformation"/>
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<tab type="user" title="PadTransformation" url="@ref openvino_docs_OV_UG_lpt_PadTransformation"/>
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<tab type="user" title="PReluTransformation" url="@ref openvino_docs_OV_UG_lpt_PReluTransformation"/>
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<tab type="user" title="ReduceMaxTransformation" url="@ref openvino_docs_OV_UG_lpt_ReduceMaxTransformation"/>
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<tab type="user" title="ReduceMeanTransformation" url="@ref openvino_docs_OV_UG_lpt_ReduceMeanTransformation"/>
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<tab type="user" title="ReduceMinTransformation" url="@ref openvino_docs_OV_UG_lpt_ReduceMinTransformation"/>
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<tab type="user" title="ReduceSumTransformation" url="@ref openvino_docs_OV_UG_lpt_ReduceSumTransformation"/>
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<tab type="user" title="ReluTransformation" url="@ref openvino_docs_OV_UG_lpt_ReluTransformation"/>
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<tab type="user" title="ReshapeTransformation" url="@ref openvino_docs_OV_UG_lpt_ReshapeTransformation"/>
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<tab type="user" title="SqueezeTransformation" url="@ref openvino_docs_OV_UG_lpt_SqueezeTransformation"/>
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<tab type="user" title="ShuffleChannelsTransformation" url="@ref openvino_docs_OV_UG_lpt_ShuffleChannelsTransformation"/>
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<tab type="user" title="SpaceToBatchTransformation" url="@ref openvino_docs_OV_UG_lpt_SpaceToBatchTransformation"/>
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<tab type="user" title="SplitTransformation" url="@ref openvino_docs_OV_UG_lpt_SplitTransformation"/>
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<tab type="user" title="StridedSliceTransformation" url="@ref openvino_docs_OV_UG_lpt_StridedSliceTransformation"/>
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<tab type="user" title="TransposeTransformation" url="@ref openvino_docs_OV_UG_lpt_TransposeTransformation"/>
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<tab type="user" title="UnsqueezeTransformation" url="@ref openvino_docs_OV_UG_lpt_UnsqueezeTransformation"/>
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<tab type="user" title="VariadicSplitTransformation" url="@ref openvino_docs_OV_UG_lpt_VariadicSplitTransformation"/>
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</tab>
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<tab type="user" title="Step 4. Cleanup transformations" url="@ref openvino_docs_OV_UG_lpt_step4_cleanup">
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<tab type="user" title="EliminateFakeQuantizeTransformation" url="@ref openvino_docs_OV_UG_lpt_EliminateFakeQuantizeTransformation"/>
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<tab type="user" title="FoldConvertTransformation" url="@ref openvino_docs_OV_UG_lpt_FoldConvertTransformation"/>
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<tab type="user" title="FoldFakeQuantizeTransformation" url="@ref openvino_docs_OV_UG_lpt_FoldFakeQuantizeTransformation"/>
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<tab type="user" title="FuseConvertTransformation" url="@ref openvino_docs_OV_UG_lpt_FuseConvertTransformation"/>
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<tab type="user" title="FuseMultiplyToFakeQuantizeTransformation" url="@ref openvino_docs_OV_UG_lpt_FuseMultiplyToFakeQuantizeTransformation"/>
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<tab type="user" title="FuseSubtractToFakeQuantizeTransformation" url="@ref openvino_docs_OV_UG_lpt_FuseSubtractToFakeQuantizeTransformation"/>
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<tab type="user" title="MultiplyToGroupConvolutionTransformation" url="@ref openvino_docs_OV_UG_lpt_MultiplyToGroupConvolutionTransformation"/>
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</tab>
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</tab>
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</tab>
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<tab type="user" url="@ref infer_request" visibile="yes" title="Implement Synchronous Inference Request"/>
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<tab type="user" url="@ref async_infer_request" visibile="yes" title="Implement Asynchronous Inference Request"/>
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<tab type="user" url="@ref properties" visibile="yes" title="Provide Plugin Specific Properties"/>
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<tab type="user" url="@ref remote_context" visibile="yes" title="Implement Remote Context"/>
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<tab type="user" url="@ref remote_tensor" visibile="yes" title="Implement Remote Tensor"/>
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</tab>
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</tab>
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<!-- Additional resources -->
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<tab type="usergroup" visibile="no" title="DETAILED GUIDES">
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<tab type="user" url="@ref plugin_build" visibile="yes" title="Build Your Plugin with CMake*"/>
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<tab type="user" url="@ref plugin_testing" visibile="yes" title="Test Your Plugin"/>
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<tab type="user" url="@ref quantized_networks" visibile="yes" title="Quantized networks guide"/>
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</tab>
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<!-- API References -->
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<tab type="usergroup" title="API REFERENCE">
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<!-- OpenVINO Plugin API -->
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<tab type="user" url="group__ov__dev__api.html" visible="yes" title="OpenVINO Plugin API Reference"/>
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<!-- OpenVINO Transformations API -->
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<tab type="user" url="group__ie__transformation__api.html" visible="yes" title="OpenVINO Transformations API Reference"/>
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</tab>
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<tab type="usergroup" title="MAIN OPENVINO™ DOCS" url="../index.html"/>
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</navindex>
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</doxygenlayout>
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+8
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:description: Learn about optional Prerequisites transformations, that
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prepare a model before applying other low precision transformations.
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.. toctree::
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:maxdepth: 1
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:hidden:
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PullReshapeThroughDequantization <openvino_docs_OV_UG_lpt_PullReshapeThroughDequantization>
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PullTransposeThroughDequantization <openvino_docs_OV_UG_lpt_PullTransposeThroughDequantization>
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LinOpSequenceFusion <openvino_docs_OV_UG_lpt_LinOpSequenceFusion>
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Prerequisites transformations are optional. The transformations prepare a model before running other low precision transformations. The transformations do not operate with dequantization operations or update precisions. Prerequisites transformations include:
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* :doc:`PullReshapeThroughDequantization <openvino_docs_OV_UG_lpt_PullReshapeThroughDequantization>`
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+20
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:description: Learn about markup transformations, which are used to create
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attributes for input and output ports and operations during runtime.
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.. toctree::
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:maxdepth: 1
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:caption: Low Precision Transformations
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:hidden:
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MarkupBias <openvino_docs_OV_UG_lpt_MarkupBias>
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MarkupCanBeQuantized <openvino_docs_OV_UG_lpt_MarkupCanBeQuantized>
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MarkupPrecisions <openvino_docs_OV_UG_lpt_MarkupPrecisions>
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MarkupPerTensorQuantization <openvino_docs_OV_UG_lpt_MarkupPerTensorQuantization>
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MarkupAvgPoolPrecisionPreserved <openvino_docs_OV_UG_lpt_MarkupAvgPoolPrecisionPreserved>
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PropagatePrecisions <openvino_docs_OV_UG_lpt_PropagatePrecisions>
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AlignQuantizationIntervals <openvino_docs_OV_UG_lpt_AlignQuantizationIntervals>
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AlignQuantizationParameters <openvino_docs_OV_UG_lpt_AlignQuantizationParameters>
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CreateAttribute <openvino_docs_OV_UG_lpt_CreateAttribute>
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CreatePrecisionsDependentAttribute <openvino_docs_OV_UG_lpt_CreatePrecisionsDependentAttribute>
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PropagateThroughPrecisionPreserved <openvino_docs_OV_UG_lpt_PropagateThroughPrecisionPreserved>
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PropagateToInput <openvino_docs_OV_UG_lpt_PropagateToInput>
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UpdateSharedPrecisionPreserved <openvino_docs_OV_UG_lpt_UpdateSharedPrecisionPreserved>
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This step defines the optimal ``FakeQuantize`` decomposition precisions for the best inference performance via operations markup with runtime attribute instances. Attributes are created for input and output ports and operations. Transformations do not change the operation output port precisions. A model markup low precision logic is decomposed and implemented into the following common markup transformations. The order of transformations is important:
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1. :doc:`MarkupBias <openvino_docs_OV_UG_lpt_MarkupBias>`
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+36
-4
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precision transformations that handle decomposition and
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dequantization operations.
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Main transformations are the majority of low precision transformations. Transformations operate with dequantization operations. Main transformations include:
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.. toctree::
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:maxdepth: 1
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:hidden:
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AddTransformation <openvino_docs_OV_UG_lpt_AddTransformation>
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AvgPoolTransformation <openvino_docs_OV_UG_lpt_AvgPoolTransformation>
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BatchToSpaceTransformation <openvino_docs_OV_UG_lpt_BatchToSpaceTransformation>
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ClampTransformation <openvino_docs_OV_UG_lpt_ClampTransformation>
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ConcatTransformation <openvino_docs_OV_UG_lpt_ConcatTransformation>
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ConvolutionTransformation <openvino_docs_OV_UG_lpt_ConvolutionTransformation>
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ConvolutionBackpropDataTransformation <openvino_docs_OV_UG_lpt_ConvolutionBackpropDataTransformation>
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DepthToSpaceTransformation <openvino_docs_OV_UG_lpt_DepthToSpaceTransformation>
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FakeQuantizeDecompositionTransformation <openvino_docs_OV_UG_lpt_FakeQuantizeDecompositionTransformation>
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FakeQuantizeTransformation <openvino_docs_OV_UG_lpt_FakeQuantizeTransformation>
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InterpolateTransformation <openvino_docs_OV_UG_lpt_InterpolateTransformation>
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GroupConvolutionTransformation <openvino_docs_OV_UG_lpt_GroupConvolutionTransformation>
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GatherTransformation <openvino_docs_OV_UG_lpt_GatherTransformation>
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MatMulTransformation <openvino_docs_OV_UG_lpt_MatMulTransformation>
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MaxPoolTransformation <openvino_docs_OV_UG_lpt_MaxPoolTransformation>
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MultiplyTransformation <openvino_docs_OV_UG_lpt_MultiplyTransformation>
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MVNTransformation <openvino_docs_OV_UG_lpt_MVNTransformation>
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NormalizeL2Transformation <openvino_docs_OV_UG_lpt_NormalizeL2Transformation>
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PadTransformation<openvino_docs_OV_UG_lpt_PadTransformation>
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PReluTransformation <openvino_docs_OV_UG_lpt_PReluTransformation>
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ReduceMaxTransformation <openvino_docs_OV_UG_lpt_ReduceMaxTransformation>
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ReduceMeanTransformation <openvino_docs_OV_UG_lpt_ReduceMeanTransformation>
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ReduceMinTransformation <openvino_docs_OV_UG_lpt_ReduceMinTransformation>
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ReduceSumTransformation <openvino_docs_OV_UG_lpt_ReduceSumTransformation>
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ReluTransformation <openvino_docs_OV_UG_lpt_ReluTransformation>
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ReshapeTransformation <openvino_docs_OV_UG_lpt_ReshapeTransformation>
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SpaceToBatchTransformation <openvino_docs_OV_UG_lpt_SpaceToBatchTransformation>
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SqueezeTransformation <openvino_docs_OV_UG_lpt_SqueezeTransformation>
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ShuffleChannelsTransformation <openvino_docs_OV_UG_lpt_ShuffleChannelsTransformation>
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SplitTransformation <openvino_docs_OV_UG_lpt_SplitTransformation>
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StridedSliceTransformation <openvino_docs_OV_UG_lpt_StridedSliceTransformation>
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TransposeTransformation <openvino_docs_OV_UG_lpt_TransposeTransformation>
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UnsqueezeTransformation <openvino_docs_OV_UG_lpt_UnsqueezeTransformation>
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VariadicSplitTransformation <openvino_docs_OV_UG_lpt_VariadicSplitTransformation>
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Main transformations are the majority of low precision transformations. Transformations operate with dequantization operations. Main transformations include:
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* :doc:`AddTransformation <openvino_docs_OV_UG_lpt_AddTransformation>`
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* :doc:`AvgPoolTransformation <openvino_docs_OV_UG_lpt_AvgPoolTransformation>`
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* :doc:`BatchToSpaceTransformation <openvino_docs_OV_UG_lpt_BatchToSpaceTransformation>`
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* :doc:`ClampTransformation <openvino_docs_OV_UG_lpt_AvgPoolTransformation>`
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* :doc:`ClampTransformation <openvino_docs_OV_UG_lpt_ClampTransformation>`
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* :doc:`ConcatTransformation <openvino_docs_OV_UG_lpt_ConcatTransformation>`
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* :doc:`ConvolutionTransformation <openvino_docs_OV_UG_lpt_ConvolutionTransformation>`
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* :doc:`ConvolutionBackpropDataTransformation <openvino_docs_OV_UG_lpt_ConvolutionBackpropDataTransformation>`
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@@ -36,6 +67,7 @@ Main transformations are the majority of low precision transformations. Transfor
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* :doc:`MultiplyTransformation <openvino_docs_OV_UG_lpt_MultiplyTransformation>`
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* :doc:`MVNTransformation <openvino_docs_OV_UG_lpt_MVNTransformation>`
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* :doc:`NormalizeL2Transformation <openvino_docs_OV_UG_lpt_NormalizeL2Transformation>`
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* :doc:`PadTransformation<openvino_docs_OV_UG_lpt_PadTransformation>`
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* :doc:`PReluTransformation <openvino_docs_OV_UG_lpt_PReluTransformation>`
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* :doc:`ReduceMaxTransformation <openvino_docs_OV_UG_lpt_ReduceMaxTransformation>`
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* :doc:`ReduceMeanTransformation <openvino_docs_OV_UG_lpt_ReduceMeanTransformation>`
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+13
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:description: Check the list of transformations used to clean up the
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resulting model to avoid unhandled dequantization operations.
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.. toctree::
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:maxdepth: 1
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:hidden:
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EliminateFakeQuantizeTransformation <openvino_docs_OV_UG_lpt_EliminateFakeQuantizeTransformation>
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FoldConvertTransformation <openvino_docs_OV_UG_lpt_FoldConvertTransformation>
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FoldFakeQuantizeTransformation <openvino_docs_OV_UG_lpt_FoldFakeQuantizeTransformation>
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FuseConvertTransformation <openvino_docs_OV_UG_lpt_FuseConvertTransformation>
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FuseMultiplyToFakeQuantizeTransformation <openvino_docs_OV_UG_lpt_FuseMultiplyToFakeQuantizeTransformation>
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FuseSubtractToFakeQuantizeTransformation <openvino_docs_OV_UG_lpt_FuseSubtractToFakeQuantizeTransformation>
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MultiplyToGroupConvolutionTransformation <openvino_docs_OV_UG_lpt_MultiplyToGroupConvolutionTransformation>
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* :doc:`EliminateFakeQuantizeTransformation <openvino_docs_OV_UG_lpt_EliminateFakeQuantizeTransformation>`
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* :doc:`FoldConvertTransformation <openvino_docs_OV_UG_lpt_FoldConvertTransformation>`
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* :doc:`FoldFakeQuantizeTransformation <openvino_docs_OV_UG_lpt_FoldFakeQuantizeTransformation>`
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