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Match the following Python torch libraries with their usage:
Match the following Python torch libraries with their usage:
torch.cuda = GPU-related operations torch.nn = Neural networks torch.optim = Optimization algorithms torch.utils.data = Data loading and processing
Match the following Python torch libraries with their usage:
Match the following Python torch libraries with their usage:
torch.fft = Fast Fourier Transform functions torch.distributed = Distributed computing torch.profiler = Performance profiling torch.special = Special mathematical functions
Match the following Python torch libraries with their usage:
Match the following Python torch libraries with their usage:
torch.autograd = Automatic differentiation torch.jit = Just-in-time compilation torch.linalg = Linear algebra operations torch.onnx = Open Neural Network Exchange format
Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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Match the following Python torch libraries with their primary usage:
Match the following Python torch libraries with their primary usage:
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