[DOCS] Update of graphs in repo (#21737)
* csv files * Update GNA.rst * csv files * csv files * csv * csv * removal of duplicates * duplicates removal * Delete small_IR_graph_demonstration.png * moving graph files to static folder * Update LowPrecisionModelRepresentation.rst * update
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Maciej Smyk
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@ -24,11 +24,12 @@ In order to be able to execute a particular DL operation in low-precision all it
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between operation and data blobs. The figure below shows an example of quantized Convolution which contains two FakeQuantize nodes: one for
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weights and one for activations (bias is quantized using the same parameters).
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.. .. image:: _static/images/quantized_convolution.png
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.. image:: _static/images/IE_PLUGIN_DG/images/quantized_convolution.png
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Starting from OpenVINO 2020.2 release all the quantized models are represented in the compressed form. It means that the weights
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of low-precision operations are converted into the target precision (e.g. INT8). It helps to substantially reduce the model size.
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The rest of the parameters can be represented in FLOAT32 or FLOAT16 precision depending on the input full-precision model used in
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the quantization process. Fig. 2 below shows an example of the part of the compressed IR.
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.. .. image:: _static/images/quantized_model_example.png
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.. image:: _static/images/IE_PLUGIN_DG/images/quantized_model_example.png
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@ -357,9 +357,9 @@ and vertical pool step (*PW*). For example, the first table shows that for a 3x3
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and *W* is limited to 87 when there are 64 input channels.
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:download:`Table of Maximum Input Tensor Widths (W) vs. Rest of Parameters (Input and Kernel Precision: i16) <../../../docs/OV_Runtime_UG/supported_plugins/files/GNA_Maximum_Input_Tensor_Widths_i16.csv>`
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:download:`Table of Maximum Input Tensor Widths (W) vs. Rest of Parameters (Input and Kernel Precision: i16) <../../../docs/articles_en/openvino_workflow/running_inference_with_openvino/Device_Plugins/assets/GNA_Maximum_Input_Tensor_Widths_i16.csv>`
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:download:`Table of Maximum Input Tensor Widths (W) vs. Rest of Parameters (Input and Kernel Precision: i8) <../../../docs/OV_Runtime_UG/supported_plugins/files/GNA_Maximum_Input_Tensor_Widths_i8.csv>`
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:download:`Table of Maximum Input Tensor Widths (W) vs. Rest of Parameters (Input and Kernel Precision: i8) <../../../docs/articles_en/openvino_workflow/running_inference_with_openvino/Device_Plugins/assets/GNA_Maximum_Input_Tensor_Widths_i8.csv>`
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.. note::
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