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conciseness and speed of development, or flexibility and expressivity, but not both. We wanted to get the clarity and development speed of Keras [2] and the customizability of PyTorch. This goal of getting the best of both worlds has motivated the design of a layered architecture. A high-level API powers

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Pulsation & Mechanical Analysis: Reciprocating Compressor. Pulsation study, mechanical review and frequency avoidance analysis, forced response analysis (when required); per API 618, API 688 and GMRC High-Speed Compressor Guideline. View More

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PyTorch - A deep learning framework that puts Python first. TensorFlow - Open Source Software Library for PyTorch and TensorFlow belong to "Machine Learning Tools" category of the tech stack.

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The speed-up comes from using the Tensor Cores on the GPU applied to matrix multiplications and convolutions. However, to use fp16 the dimension of each matrix must be a multiple of 8. Read about the constraints here. For simple PyTorch codes these are the necessary changes:

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