[DOCS] References fixes for 24.0 (#23291)
Minor fixes for references and urls
This commit is contained in:
Sebastian Golebiewski
GitHub
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79da9a1f39
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f4488a8ca9
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.. {#openvino_../additional-resources_supported_operations_frontend}
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.. {#openvino_resources_supported_operations_frontend}
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Supported Operations - by Framework Frontend
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============================================
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.. {#openvino_../additional-resources_supported_operations}
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.. {#openvino_resources_supported_operations}
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Supported Operations - by Inference Devices
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===========================================
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.. {#../performance-benchmarks_faq}
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.. {#openvino_docs_performance_benchmarks_faq}
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Performance Information F.A.Q.
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==============================
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@ -1,4 +1,4 @@
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.. {#openvino_docs_MO_DG_prepare_model_convert_model_../../../../../learn-openvino/interactive-tutorials-python}
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.. {#openvino_docs_MO_DG_prepare_model_convert_model_tutorials}
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[LEGACY] Model Conversion Tutorials
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====================================================
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@ -51,6 +51,6 @@ To fix some operators which prevent normal shape propagation:
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.. image:: ../../../../_static/images/batch_relaxation.png
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* transform the model conversion on the back phase. For more information, see the :doc:`How to Convert a Model <../legacy-model-optimizer-extensibility>`,
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* transform OpenVINO Model during the runtime. For more information, see :doc:`OpenVINO Runtime Transformations <../../../openvino-extensibility/transformations-api>`,
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* transform OpenVINO Model during the runtime. For more information, see :doc:`OpenVINO Runtime Transformations <../../../openvino-extensibility/transformation-api>`,
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* modify the original model with the help of the original framework.
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@ -1,4 +1,4 @@
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.. {#../legacy-model-optimizer-extensibility_Model_Optimizer_Ports_Connections}
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.. {#openvino_docs_MO_DG_prepare_model_customize_model_optimizer_Customize_Model_Optimizer_Model_Optimizer_Ports_Connections}
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[LEGACY] Graph Traversal and Modification
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===========================================
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.. {#../[legacy]-model-optimizer-extensions_Model_Optimizer_Transformation_Extensions}
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.. {#openvino_docs_MO_DG_prepare_model_customize_model_optimizer_Model_Optimizer_Extensions_Model_Optimizer_Transformation_Extensions}
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[LEGACY] Graph Transformation Extensions
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==========================================
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@ -1,4 +1,4 @@
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.. {#../[legacy]-model-optimizer-extensions_Model_Optimizer_Operation}
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.. {#openvino_docs_MO_DG_prepare_model_customize_model_optimizer_Model_Optimizer_Extensions_Model_Optimizer_Operation}
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[LEGACY] Model Optimizer Operation
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===================================
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@ -1,11 +1,11 @@
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.. {#../[legacy]-model-optimizer-extensions_Model_Optimizer_Extractor}
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.. {#openvino_docs_MO_DG_prepare_model_customize_model_optimizer_Model_Optimizer_Extensions_Model_Optimizer_Extractor}
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[LEGACY] Operation Extractor
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=============================
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.. meta::
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:description: Learn about a deprecated generic extension in Model Optimizer,
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which provides the operation extractor usable for all model
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:description: Learn about a deprecated generic extension in Model Optimizer,
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which provides the operation extractor usable for all model
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frameworks.
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@ -13,7 +13,7 @@
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The code described here has been **deprecated!** Do not use it to avoid working with a legacy solution. It will be kept for some time to ensure backwards compatibility, but **you should not use** it in contemporary applications.
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This guide describes a deprecated TensorFlow conversion method. The guide on the new and recommended method, using a new frontend, can be found in the :doc:`Frontend Extensions <../../../../openvino-extensibility/frontend-extensions>` article.
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This guide describes a deprecated TensorFlow conversion method. The guide on the new and recommended method, using a new frontend, can be found in the :doc:`Frontend Extensions <../../../../openvino-extensibility/frontend-extensions>` article.
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Model Optimizer runs specific extractor for each operation in the model during the model loading.
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@ -30,14 +30,14 @@ Generic extension provides a generic mechanism for the operation extractor appli
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from openvino.tools.mo.front.extractor import FrontExtractorOp
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from openvino.tools.mo.front.tf.extractors.utils import tf_dtype_extractor, tf_tensor_shape, tf_tensor_content
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from openvino.tools.mo.ops.const import Const
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class ConstExtractor(FrontExtractorOp):
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# The "op" class attribute defines a type of the operation in the framework (in this case it is a TensorFlow),
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# The "op" class attribute defines a type of the operation in the framework (in this case it is a TensorFlow),
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# for which the extractor should be triggered.
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op = 'Const'
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enabled = True # The flag that indicates that this extractor is enabled.
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@classmethod
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def extract(cls, node): # The entry point of the extractor.
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# The `node.pb` attribute stores the TensorFlow representation of the operation, which is a Protobuf message of the
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from onnx import numpy_helper
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from onnx.numpy_helper import to_array
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from openvino.tools.mo.front.extractor import FrontExtractorOp
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from openvino.tools.mo.front.onnx.extractors.utils import onnx_attr
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from openvino.tools.mo.ops.const import Const
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class ConstantExtractor(FrontExtractorOp):
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op = 'Constant'
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enabled = True
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@classmethod
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def extract(cls, node):
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# Use "onnx_attr" helper method, which parses the Protobuf representation of the operation saved in the "node".
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@ -83,7 +83,7 @@ Consider another example with an extractor of the ``Constant`` ONNX operation (r
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pb_value = onnx_attr(node, 'value', 't')
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# Use "numpy_helper.to_array()" ONNX helper method to convert "TensorProto" object to a numpy array.
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value = numpy_helper.to_array(pb_value)
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attrs = {
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'data_type': value.dtype,
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'value': value,
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@ -101,7 +101,7 @@ A common practice is to use ``update_node_stat()`` method of the dedicated ``Op`
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2. Uses ``supported_attrs()`` and ``backend_attrs()`` methods, defined in the ``Op`` class to update specific node attribute ``IE``. The IR emitter uses the value stored in the ``IE`` attribute to pre-process attribute values and save them to IR.
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3. Optionally sets additional attributes provided to the ``update_node_stat()`` function as a second parameter. Usually these attributes are parsed from the particular instance of the operation.
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.. note::
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.. note::
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Model Optimizer uses numpy arrays to store values and numpy arrays of ``np.int64`` type to store shapes in the graph.
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====================
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@ -21,7 +21,7 @@ OpenVINO Extensibility Mechanism
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:maxdepth: 1
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:hidden:
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openvino-extensibility/transformations-api
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openvino-extensibility/transformation-api
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OpenVINO Plugin Developer Guide <openvino-extensibility/openvino-plugin-library>
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@ -191,7 +191,7 @@ This CMake script finds OpenVINO, using the ``find_package`` CMake command.
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See Also
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########
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* :doc:`OpenVINO Transformations <openvino-extensibility/transformations-api>`
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* :doc:`OpenVINO Transformations <openvino-extensibility/transformation-api>`
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* :doc:`Using OpenVINO Runtime Samples <../learn-openvino/openvino-samples>`
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* :doc:`Hello Shape Infer SSD sample <../learn-openvino/openvino-samples/hello-reshape-ssd>`
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@ -19,7 +19,7 @@ Overview of OpenVINO Plugin Library
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Implement Compiled Model Functionality <openvino-plugin-library/compiled-model>
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Implement Synchronous Inference Request <openvino-plugin-library/synch-inference-request>
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Implement Asynchronous Inference Request <openvino-plugin-library/asynch-inference-request>
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Provide Plugin Specific Properties <openvino-plugin-library/plugi-properties>
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Provide Plugin Specific Properties <openvino-plugin-library/plugin-properties>
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Implement Remote Context <openvino-plugin-library/remote-context>
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Implement Remote Tensor <openvino-plugin-library/remote-tensor>
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openvino-plugin-library/build-plugin-using-cmake
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@ -63,7 +63,7 @@ OpenVINO plugin dynamic library consists of several main components:
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* Wraps the :doc:`Inference Request <openvino-plugin-library/synch-inference-request>` class and runs pipeline stages in parallel on several task executors based on a device-specific pipeline structure.
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5. :doc:`Plugin specific properties <openvino-plugin-library/plugi-properties>`:
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5. :doc:`Plugin specific properties <openvino-plugin-library/plugin-properties>`:
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* Provides the plugin specific properties.
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@ -90,7 +90,7 @@ Detailed Guides
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* Plugin and its components :doc:`testing <openvino-plugin-library/plugin-testing>`
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* :doc:`Quantized networks <openvino-plugin-library/advanced-guides/quantized-models>`
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* :doc:`Low precision transformations <openvino-plugin-library/advanced-guides/low-precision-transformations>` guide
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* :doc:`Writing OpenVINO™ transformations <transformations-api>` guide
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* :doc:`Writing OpenVINO™ transformations <transformation-api>` guide
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* `Integration with AUTO Plugin <https://github.com/openvinotoolkit/openvino/blob/master/src/plugins/auto/docs/integration.md>`__
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API References
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@ -5,8 +5,8 @@ Advanced Topics
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.. meta::
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:description: Learn more about plugin development and specific features in
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OpenVINO: precision transformations and support for quantized
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:description: Learn more about plugin development and specific features in
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OpenVINO: precision transformations and support for quantized
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models with different precisions.
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.. toctree::
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@ -19,7 +19,7 @@ Advanced Topics
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The guides below provides extra information about specific features of OpenVINO needed for understanding during OpenVINO plugin development:
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* :doc:`Quantized networks <advanced-guides/quantized-models>`
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* :doc:`Low precision transformations guide <advanced-guides/low-precision-transformations>`
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* :doc:`Writing OpenVINO™ transformations guide <../transformations-api>`
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* :doc:`Low precision transformations guide <advanced-guides/low-precision-transformations>`
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* :doc:`Writing OpenVINO™ transformations guide <../transformation-api>`
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.. {#../low-precision-transformations_attributes}
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.. {#openvino_docs_OV_UG_lpt_attributes}
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Attributes
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==========
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@ -14,7 +14,7 @@ Attributes
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:hidden:
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AvgPoolPrecisionPreserved <lpt-attributes/avg-pool-precision-preserved>
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IntervalsAlignment <lpt-attributes/intervals-alignment>
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IntervalsAlignment <lpt-attributes/intervals-alignment>
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PrecisionPreserved <lpt-attributes/precision-preserved>
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Precisions <lpt-attributes/precisions>
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QuantizationAlignment <lpt-attributes/quantization-alignment>
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@ -53,8 +53,8 @@ Introduction
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* - :doc:`QuantizationGranularity <lpt-attributes/quantization-granularity>`
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- Quantization granularity
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- Yes
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- No
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- No
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``Target`` attribute group defines attribute usage during model transformation for the best performance:
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@ -88,13 +88,13 @@ Attributes usage by transformations:
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- AlignQuantizationIntervals, AlignQuantizationParameters, FakeQuantizeDecompositionTransformation, MarkupAvgPoolPrecisionPreserved
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* - AvgPoolPrecisionPreserved
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- MarkupAvgPoolPrecisionPreserved
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-
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-
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* - Precisions
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- MarkupCanBeQuantized, MarkupPrecisions
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- FakeQuantizeDecompositionTransformation
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* - PerTensorQuantization
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- MarkupPerTensorQuantization
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-
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-
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* - IntervalsAlignment
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- AlignQuantizationIntervals
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- FakeQuantizeDecompositionTransformation
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@ -102,6 +102,6 @@ Attributes usage by transformations:
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- AlignQuantizationParameters
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- FakeQuantizeDecompositionTransformation
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.. note::
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.. note::
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The same type of attribute instances can be created in different transformations. This approach is the result of the transformation single-responsibility principle. For example, ``Precision`` attribute instances are created in ``MarkupCanBeQuantized`` and ``MarkupPrecisions`` transformations, but the reasons for their creation are different.
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.. {#../../low-precision-transformations_AvgPoolPrecisionPreserved}
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.. {#openvino_docs_OV_UG_lpt_AvgPoolPrecisionPreserved}
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AvgPoolPrecisionPreserved Attribute
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===================================
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.. {#../../low-precision-transformations_IntervalsAlignment}
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.. {#openvino_docs_OV_UG_lpt_IntervalsAlignment}
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IntervalsAlignment Attribute
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============================
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.. {#../../low-precision-transformations_PrecisionPreserved}
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.. {#openvino_docs_OV_UG_lpt_PrecisionPreserved}
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PrecisionPreserved Attribute
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============================
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.. {#../../low-precision-transformations_Precisions}
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.. {#openvino_docs_OV_UG_lpt_Precisions}
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Precisions Attribute
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====================
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.. {#../../low-precision-transformations_QuantizationAlignment}
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.. {#openvino_docs_OV_UG_lpt_QuantizationAlignment}
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QuantizationAlignment Attribute
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===============================
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.. {#../../low-precision-transformations_QuantizationGranularity}
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.. {#openvino_docs_OV_UG_lpt_QuantizationGranularity}
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QuantizationGranularity Attribute
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=================================
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.. {#../low-precision-transformations_step1_prerequisites}
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.. {#openvino_docs_OV_UG_lpt_step1_prerequisites}
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Step 1. Prerequisites Transformations
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=====================================
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.. meta::
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:description: Learn about optional Prerequisites transformations, that
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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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.. {#../../low-precision-transformations_ConvertSubtractConstant}
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.. {#openvino_docs_OV_UG_lpt_ConvertSubtractConstant}
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ConvertSubtractConstant transformation
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======================================
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.. {#../../low-precision-transformations_LinOpSequenceFusion}
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.. {#openvino_docs_OV_UG_lpt_LinOpSequenceFusion}
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LinOpSequenceFusion transformation
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==================================
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.. {#../../low-precision-transformations_PullReshapeThroughDequantization}
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.. {#openvino_docs_OV_UG_lpt_PullReshapeThroughDequantization}
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PullReshapeThroughDequantization transformation
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===============================================
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.. {#../../low-precision-transformations_PullTransposeThroughDequantization}
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.. {#openvino_docs_OV_UG_lpt_PullTransposeThroughDequantization}
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PullTransposeThroughDequantization transformation
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=================================================
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@ -1,4 +1,4 @@
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.. {#../low-precision-transformations_step2_markup}
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.. {#openvino_docs_OV_UG_lpt_step2_markup}
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Step 2. Markup Transformations
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==============================
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.. {#../../low-precision-transformations_AlignQuantizationIntervals}
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.. {#openvino_docs_OV_UG_lpt_AlignQuantizationIntervals}
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AlignQuantizationIntervals transformation
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=========================================
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.. {#../../low-precision-transformations_AlignQuantizationParameters}
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.. {#openvino_docs_OV_UG_lpt_AlignQuantizationParameters}
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AlignQuantizationParameters transformation
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==========================================
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.. {#../../low-precision-transformations_CreateAttribute}
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.. {#openvino_docs_OV_UG_lpt_CreateAttribute}
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CreateAttribute transformation
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==============================
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@ -1,4 +1,4 @@
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.. {#../../low-precision-transformations_CreatePrecisionsDependentAttribute}
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.. {#openvino_docs_OV_UG_lpt_CreatePrecisionsDependentAttribute}
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CreatePrecisionsDependentAttribute transformation
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=================================================
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.. {#../../low-precision-transformations_MarkupAvgPoolPrecisionPreserved}
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.. {#openvino_docs_OV_UG_lpt_MarkupAvgPoolPrecisionPreserved}
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MarkupAvgPoolPrecisionPreserved transformation
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==============================================
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@ -1,4 +1,4 @@
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.. {#../../low-precision-transformations_MarkupBias}
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.. {#openvino_docs_OV_UG_lpt_MarkupBias}
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MarkupBias transformation
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=========================
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@ -1,4 +1,4 @@
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.. {#../../low-precision-transformations_MarkupCanBeQuantized}
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.. {#openvino_docs_OV_UG_lpt_MarkupCanBeQuantized}
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MarkupCanBeQuantized transformation
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===================================
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.. {#../../low-precision-transformations_MarkupPerTensorQuantization}
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.. {#openvino_docs_OV_UG_lpt_MarkupPerTensorQuantization}
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MarkupPerTensorQuantization transformation
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==========================================
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.. {#../../low-precision-transformations_MarkupPrecisions}
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.. {#openvino_docs_OV_UG_lpt_MarkupPrecisions}
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||||
|
||||
MarkupPrecisions transformation
|
||||
===============================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_PropagatePrecisions}
|
||||
.. {#openvino_docs_OV_UG_lpt_PropagatePrecisions}
|
||||
|
||||
PropagatePrecisions transformation
|
||||
==================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_PropagateSharedValue}
|
||||
.. {#openvino_docs_OV_UG_lpt_PropagateSharedValue}
|
||||
|
||||
PropagateSharedValue transformation
|
||||
===================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_PropagateThroughPrecisionPreserved}
|
||||
.. {#openvino_docs_OV_UG_lpt_PropagateThroughPrecisionPreserved}
|
||||
|
||||
PropagateThroughPrecisionPreserved transformation
|
||||
=================================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_PropagateToInput}
|
||||
.. {#openvino_docs_OV_UG_lpt_PropagateToInput}
|
||||
|
||||
PropagateToInput transformation
|
||||
===============================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_UpdateSharedPrecisionPreserved}
|
||||
.. {#openvino_docs_OV_UG_lpt_UpdateSharedPrecisionPreserved}
|
||||
|
||||
UpdateSharedPrecisionPreserved transformation
|
||||
=============================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ClampTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ClampTransformation}
|
||||
|
||||
ClampTransformation transformation
|
||||
==================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_PReluTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_PReluTransformation}
|
||||
|
||||
PReluTransformation transformation
|
||||
==================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ReluTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ReluTransformation}
|
||||
|
||||
ReluTransformation transformation
|
||||
=================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_AddTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_AddTransformation}
|
||||
|
||||
AddTransformation transformation
|
||||
================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_MultiplyPartialTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_MultiplyPartialTransformation}
|
||||
|
||||
MultiplyTransformation transformation
|
||||
=====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_MultiplyTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_MultiplyTransformation}
|
||||
|
||||
MultiplyTransformation transformation
|
||||
=====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_SubtractTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_SubtractTransformation}
|
||||
|
||||
SubtractTransformation transformation
|
||||
=====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ConvolutionBackpropDataTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ConvolutionBackpropDataTransformation}
|
||||
|
||||
ConvolutionBackpropDataTransformation transformation
|
||||
====================================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ConvolutionTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ConvolutionTransformation}
|
||||
|
||||
ConvolutionTransformation transformation
|
||||
========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_GroupConvolutionTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_GroupConvolutionTransformation}
|
||||
|
||||
GroupConvolutionTransformation transformation
|
||||
=============================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_InterpolateTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_InterpolateTransformation}
|
||||
|
||||
InterpolateTransformation transformation
|
||||
========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_MatMulTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_MatMulTransformation}
|
||||
|
||||
MatMulTransformation transformation
|
||||
===================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ConcatTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ConcatTransformation}
|
||||
|
||||
ConcatTransformation transformation
|
||||
===================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_DepthToSpaceTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_DepthToSpaceTransformation}
|
||||
|
||||
DepthToSpaceTransformation transformation
|
||||
=========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_GatherTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_GatherTransformation}
|
||||
|
||||
GatherTransformation transformation
|
||||
===================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_PadTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_PadTransformation}
|
||||
|
||||
PadTransformation transformation
|
||||
================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ShuffleChannelsTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ShuffleChannelsTransformation}
|
||||
|
||||
ShuffleChannelsTransformation transformation
|
||||
============================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_SplitTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_SplitTransformation}
|
||||
|
||||
SplitTransformation transformation
|
||||
==================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_StridedSliceTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_StridedSliceTransformation}
|
||||
|
||||
StridedSliceTransformation transformation
|
||||
=========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_TransposeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_TransposeTransformation}
|
||||
|
||||
TransposeTransformation transformation
|
||||
======================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_VariadicSplitTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_VariadicSplitTransformation}
|
||||
|
||||
VariadicSplitTransformation transformation
|
||||
==========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_MVNTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_MVNTransformation}
|
||||
|
||||
MVNTransformation transformation
|
||||
================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_NormalizeL2Transformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_NormalizeL2Transformation}
|
||||
|
||||
NormalizeL2Transformation transformation
|
||||
========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_AvgPoolTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_AvgPoolTransformation}
|
||||
|
||||
AvgPoolTransformation transformation
|
||||
====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_MaxPoolTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_MaxPoolTransformation}
|
||||
|
||||
MaxPoolTransformation transformation
|
||||
====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_FakeQuantizeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FakeQuantizeTransformation}
|
||||
|
||||
FakeQuantizeTransformation transformation
|
||||
=========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_FoldFakeQuantizeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FoldFakeQuantizeTransformation}
|
||||
|
||||
FoldFakeQuantizeTransformation transformation
|
||||
=============================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ReduceMaxTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ReduceMaxTransformation}
|
||||
|
||||
ReduceMaxTransformation transformation
|
||||
======================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ReduceMeanTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ReduceMeanTransformation}
|
||||
|
||||
ReduceMeanTransformation transformation
|
||||
=======================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ReduceMinTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ReduceMinTransformation}
|
||||
|
||||
ReduceMinTransformation transformation
|
||||
======================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ReduceSumTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ReduceSumTransformation}
|
||||
|
||||
ReduceSumTransformation transformation
|
||||
======================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_BatchToSpaceTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_BatchToSpaceTransformation}
|
||||
|
||||
BatchToSpaceTransformation transformation
|
||||
=========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_ReshapeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_ReshapeTransformation}
|
||||
|
||||
ReshapeTransformation transformation
|
||||
====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_SpaceToBatchTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_SpaceToBatchTransformation}
|
||||
|
||||
SpaceToBatchTransformation transformation
|
||||
=========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_SqueezeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_SqueezeTransformation}
|
||||
|
||||
SqueezeTransformation transformation
|
||||
====================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../../low-precision-transformations_UnsqueezeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_UnsqueezeTransformation}
|
||||
|
||||
UnsqueezeTransformation transformation
|
||||
======================================
|
||||
|
|
|
|||
|
|
@ -1,11 +1,11 @@
|
|||
.. {#../low-precision-transformations_step4_cleanup}
|
||||
.. {#openvino_docs_OV_UG_lpt_step4_cleanup}
|
||||
|
||||
Step 4. Cleanup Transformations
|
||||
===============================
|
||||
|
||||
|
||||
.. meta::
|
||||
:description: Check the list of transformations used to clean up the
|
||||
:description: Check the list of transformations used to clean up the
|
||||
resulting model to avoid unhandled dequantization operations.
|
||||
|
||||
.. toctree::
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_EliminateFakeQuantizeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_EliminateFakeQuantizeTransformation}
|
||||
|
||||
EliminateFakeQuantizeTransformation transformation
|
||||
==================================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_FakeQuantizeDecompositionTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FakeQuantizeDecompositionTransformation}
|
||||
|
||||
FakeQuantizeDecompositionTransformation transformation
|
||||
======================================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_FoldConvertTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FoldConvertTransformation}
|
||||
|
||||
FoldConvertTransformation transformation
|
||||
========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_FuseConvertTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FuseConvertTransformation}
|
||||
|
||||
FuseConvertTransformation transformation
|
||||
========================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_FuseMultiplyToFakeQuantizeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FuseMultiplyToFakeQuantizeTransformation}
|
||||
|
||||
FuseMultiplyToFakeQuantizeTransformation transformation
|
||||
=======================================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_FuseSubtractToFakeQuantizeTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_FuseSubtractToFakeQuantizeTransformation}
|
||||
|
||||
FuseSubtractToFakeQuantizeTransformation transformation
|
||||
=======================================================
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../../low-precision-transformations_MultiplyToGroupConvolutionTransformation}
|
||||
.. {#openvino_docs_OV_UG_lpt_MultiplyToGroupConvolutionTransformation}
|
||||
|
||||
MultiplyToGroupConvolutionTransformation transformation
|
||||
=======================================================
|
||||
|
|
|
|||
|
|
@ -12,8 +12,8 @@ Plugin API Reference
|
|||
:maxdepth: 1
|
||||
:hidden:
|
||||
|
||||
../api/c_cpp_api/group__ov__dev__api
|
||||
../api/c_cpp_api/group__ie__transformation__api
|
||||
../../../api/c_cpp_api/group__ov__dev__api
|
||||
../../../api/c_cpp_api/group__ie__transformation__api
|
||||
|
||||
The guides below provides extra API references needed for OpenVINO plugin development:
|
||||
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ Plugin Properties
|
|||
|
||||
|
||||
.. meta::
|
||||
:description: Use the ov::Property class to define access rights and
|
||||
:description: Use the ov::Property class to define access rights and
|
||||
specific properties of an OpenVINO plugin.
|
||||
|
||||
|
||||
|
|
@ -14,7 +14,7 @@ Plugin can provide own device-specific properties.
|
|||
Property Class
|
||||
##############
|
||||
|
||||
OpenVINO API provides the interface ov::Property which allows to define the property and access rights. Based on that, a declaration of plugin specific properties can look as follows:
|
||||
OpenVINO API provides the interface ov::Property which allows to define the property and access rights. Based on that, a declaration of plugin specific properties can look as follows:
|
||||
|
||||
.. doxygensnippet:: src/plugins/template/include/template/properties.hpp
|
||||
:language: cpp
|
||||
|
|
@ -115,7 +115,7 @@ Actual model compilation is done in the ``CompiledModel`` constructor. Refer to
|
|||
transform_model()
|
||||
+++++++++++++++++
|
||||
|
||||
The function accepts a const shared pointer to `ov::Model` object and applies common and device-specific transformations on a copied model to make it more friendly to hardware operations. For details how to write custom device-specific transformation, refer to :doc:`Writing OpenVINO™ transformations <../transformations-api>` guide. See detailed topics about model representation:
|
||||
The function accepts a const shared pointer to `ov::Model` object and applies common and device-specific transformations on a copied model to make it more friendly to hardware operations. For details how to write custom device-specific transformation, refer to :doc:`Writing OpenVINO™ transformations <../transformation-api>` guide. See detailed topics about model representation:
|
||||
|
||||
* :doc:`Intermediate Representation and Operation Sets <../../openvino-ir-format/operation-sets>`
|
||||
* :doc:`Quantized models <advanced-guides/quantized-models>`.
|
||||
|
|
|
|||
|
|
@ -13,9 +13,9 @@ Overview of Transformations API
|
|||
:maxdepth: 1
|
||||
:hidden:
|
||||
|
||||
transformations-api/model-pass
|
||||
transformations-api/matcher-pass
|
||||
transformations-api/graph-rewrite-pass
|
||||
transformation-api/model-pass
|
||||
transformation-api/matcher-pass
|
||||
transformation-api/graph-rewrite-pass
|
||||
|
||||
OpenVINO Transformation mechanism allows to develop transformation passes to modify ``ov::Model``. You can use this mechanism to apply additional optimizations to the original Model or transform unsupported subgraphs and operations to new operations which are supported by the plugin.
|
||||
This guide contains all necessary information that you need to start implementing OpenVINO™ transformations.
|
||||
|
|
@ -97,9 +97,9 @@ Transformations types
|
|||
|
||||
OpenVINO™ Runtime has three main transformation types:
|
||||
|
||||
* :doc:`Model pass <transformations-api/model-pass>` - straightforward way to work with ``ov::Model`` directly
|
||||
* :doc:`Matcher pass <transformations-api/matcher-pass>` - pattern-based transformation approach
|
||||
* :doc:`Graph rewrite pass <transformations-api/graph-rewrite-pass>` - container for matcher passes needed for efficient execution
|
||||
* :doc:`Model pass <transformation-api/model-pass>` - straightforward way to work with ``ov::Model`` directly
|
||||
* :doc:`Matcher pass <transformation-api/matcher-pass>` - pattern-based transformation approach
|
||||
* :doc:`Graph rewrite pass <transformation-api/graph-rewrite-pass>` - container for matcher passes needed for efficient execution
|
||||
|
||||
.. image:: ./../../_static/images/transformations_structure.png
|
||||
|
||||
|
|
@ -38,6 +38,6 @@ And then creates map from registered MatcherPasses. That helps to avoid addition
|
|||
See Also
|
||||
########
|
||||
|
||||
* :doc:`OpenVINO™ Transformations <../transformations-api>`
|
||||
* :doc:`OpenVINO™ Transformations <../transformation-api>`
|
||||
|
||||
|
||||
|
|
@ -160,5 +160,5 @@ This example shows how to use predicate to construct a pattern. Also it shows ho
|
|||
See Also
|
||||
########
|
||||
|
||||
* :doc:`OpenVINO™ Transformations <../transformations-api>`
|
||||
* :doc:`OpenVINO™ Transformations <../transformation-api>`
|
||||
|
||||
|
|
@ -28,5 +28,5 @@ Also ``ov::pass::ModelPass`` based transformations can be executed via ``ov::pas
|
|||
See Also
|
||||
########
|
||||
|
||||
* :doc:`OpenVINO™ Transformations <../transformations-api>`
|
||||
* :doc:`OpenVINO™ Transformations <../transformation-api>`
|
||||
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets1}
|
||||
.. {#openvino_docs_ops_opset1}
|
||||
|
||||
opset1
|
||||
======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets10}
|
||||
.. {#openvino_docs_ops_opset10}
|
||||
|
||||
opset10
|
||||
=======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets11}
|
||||
.. {#openvino_docs_ops_opset11}
|
||||
|
||||
opset11
|
||||
=======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets12}
|
||||
.. {#openvino_docs_ops_opset12}
|
||||
|
||||
opset12
|
||||
=======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets13}
|
||||
.. {#openvino_docs_ops_opset13}
|
||||
|
||||
opset13
|
||||
=======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets14}
|
||||
.. {#openvino_docs_ops_opset14}
|
||||
|
||||
opset14
|
||||
=======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets2}
|
||||
.. {#openvino_docs_ops_opset2}
|
||||
|
||||
opset2
|
||||
======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets3}
|
||||
.. {#openvino_docs_ops_opset3}
|
||||
|
||||
opset3
|
||||
======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets4}
|
||||
.. {#openvino_docs_ops_opset4}
|
||||
|
||||
opset4
|
||||
======
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
.. {#../available-opsets5}
|
||||
.. {#openvino_docs_ops_opset5}
|
||||
|
||||
opset5
|
||||
======
|
||||
|
|
|
|||
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Reference in New Issue