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The compression phase consists of the original textures being transformed into a combination of weights for a small neural network and latent features. In Inference on Sample mode, the decompression phase consists of reading the latent data and then performing an inference operation by passing it through a small Multi-Layer Perceptron (MLP) network whose weights were determined during the compression phase. Each texel is decompressed when needed. NTC is deterministic – it is not generative.
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与此同时，return torch.autocast(device_type="cuda", dtype=precision_type)
进一步分析发现，"muted": "#666666",
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