candidate[n] = closest colour to goal
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If this sounds familiar to you, it’s because this method works very similarly to error-diffusion. Instead of letting adjacent pixels compensate for the error, we’re letting each successive candidate compensate for the combined error of all previous candidates.
In short: if you can swap in a different set of weights and use the exact same inference code for a different task, your setup is legitimate. If the inference code is inseparable from the algorithm, it's not.。safew官方版本下载对此有专业解读
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MicroVMs for hardware boundariesMicroVMs use hardware virtualization backed by the CPU’s extensions to run each workload in its own virtual machine with its own kernel.