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Added documentation for release 1.32.0
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Signed-off-by: Bharath Ramaswamy <[email protected]>
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quic-bharathr committed Jun 4, 2024
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4 changes: 2 additions & 2 deletions releases/1.32.0/Examples/onnx/quantization/cle.html
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<title>Cross-Layer Equalization (CLE) &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Cross-Layer Equalization (CLE) &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Quantization Simulation &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Quantization Simulation &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Model Compression Using Channel Pruning &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Model compression Using Spatial SVD &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Model Compression Using Spatial SVD Followed by Channel Pruning &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Adaptive Rounding (AdaRound) &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>AutoQuant &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Quantization-Aware Training with BatchNorm Re-estimation &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Quantization-Aware Training with BatchNorm Re-estimation &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Cross-Layer Equalization (CLE) and Bias Correction (BC) &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Cross-Layer Equalization (CLE) and Bias Correction (BC) &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Adaptive Rounding (Adaround) &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Quantization-Aware Training with BatchNorm Re-estimation &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Quantization-Aware Training with a Keras Transformer Model &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Quantization-Aware Training with a Keras Transformer Model &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Keras Model Preparer &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Keras Model Preparer &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Quantization-Aware Training &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Quantization-Aware Training with Range Learning &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
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<title>Quant Analyzer &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Quant Analyzer &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Quantsim and Adaround - Per Channel Quantization (PCQ) &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Quantsim and Adaround - Per Channel Quantization (PCQ) &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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<title>Cross-Layer Equalization (CLE) with QuantSim &mdash; AI Model Efficiency Toolkit Documentation: ver torch_1.32.0</title>
<title>Cross-Layer Equalization (CLE) with QuantSim &mdash; AI Model Efficiency Toolkit Documentation: ver 1.32.0</title>
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