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Distributed Fast Fourier Transform in TensorFlow
Aug. 24, 2023, 5 p.m. | noreply@blogger.com (TensorFlow Blog)
The TensorFlow Blog blog.tensorflow.org
Posted by Ruijiao Sun, Google Intern - DTensor team
Fast Fourier Transform is an important method of signal processing, which is commonly used in a number of ways, including speeding up convolutions, extracting features, and regularizing models. Distributed Fast Fourier Transform (Distributed FFT) offers a way to compute Fourier Transforms in models that work with image-like datasets that are too large to fit into the memory of a single accelerator device. In a previous Google Research Paper, “Large-Scale …
compute distributed dtensor features fft google processing signal team tensorflow tensorflow core work
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