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Submodules # intel_npu_acceleration_library.bindings module # intel_npu_acceleration_library.compiler module # class intel_npu_acceleration_library.compiler.CompilerConfig(use_to: ,The OVInferenceModel implements the basic of NN inference on NPU. Subclassed by intel_npu_acceleration_library::ModelFactory~The Intel® NPU Acceleration Library is a Python library designed to boost the efficiency of your applications by leveraging the power of the Intel Neural Processing Unit (NPU) to ~Basic usage # For implemented examples, please check the examples folder Run a single MatMul in the NPU # from intel_npu_acceleration_library.backend import MatMul import numpy as ,Quick overview of Intelâs Neural Processing Unit (NPU) # The Intel NPU is an AI accelerator integrated into Intel Core Ultra processors, characterized by a unique architecture co_To build the package you need a compiler in your system (Visual Studio 2019 suggested for Windows build). MacOS is not yet supported. For development packages use (after cloning th-It is suggested to install the package locally by using pip install -e .dev Git hooks # All developers should install the git hooks that are tracked in the .githooks directory. W
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Submodules # intel_npu_acceleration_library.bindings module # intel_npu_acceleration_library.compiler module # class intel_npu_acceleration_library.compiler.CompilerConfig(use_to: ,The OVInferenceModel implements the basic of NN inference on NPU. Subclassed by intel_npu_acceleration_library::ModelFactory~The Intel® NPU Acceleration Library is a Python library designed to boost the efficiency of your applications by leveraging the power of the Intel Neural Processing Unit (NPU) to ~Basic usage # For implemented examples, please check the examples folder Run a single MatMul in the NPU # from intel_npu_acceleration_library.backend import MatMul import numpy as ,Quick overview of Intelâs Neural Processing Unit (NPU) # The Intel NPU is an AI accelerator integrated into Intel Core Ultra processors, characterized by a unique architecture co_To build the package you need a compiler in your system (Visual Studio 2019 suggested for Windows build). MacOS is not yet supported. For development packages use (after cloning th-It is suggested to install the package locally by using pip install -e .dev Git hooks # All developers should install the git hooks that are tracked in the .githooks directory. W