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model_compression_toolkit/target_platform_capabilities/README.md

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For mixed-precision quantization it uses either 2, 4, or 8 bits for quantizing the operators.
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One may view the full default target-platform model and its parameters [here](./tpc_models/imx500_tpc/v1_0/tpc.py).
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[TFLite](./tpc_models/tflite_tpc/v1_0/tpc.py) and [QNNPACK](./tpc_models/qnnpack_tpc/v1_0/tpc.py) models were created similarly and were used to create two TPCs: One for Keras TPC and one for PyTorch TPC (for each model, this 8 in total).
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[TFLite](./tpc_models/tflite_tpc/v1_0/tpc.py) and [QNNPACK](./tpc_models/qnnpack_tpc/v1_0/tpc.py) models were created similarly.
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## Usage
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