ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

Abstract: Recent advancements in model pruning have focused on developing new algorithms and improving upon benchmarks. However, the practical application of these algorithms across various models and ...

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we should be careful when using dequantize, as this op is defined in PyTorch as always dequantizing to float32 (link), and we usually want to dequantize to original dtype, which is often ...

Abstract: This paper describes a modeling method for rapid computation of input-output voltage conversion gains of an LLC converter with high accuracy. This method quickly predicts the gain close to ...