Mozahler
2017-03-11 12:35
使用yourData.count并除以1024 *1024。使用Alexanders的出色建议：
func stackOverflowAnswer() {
if let data = UIImagePNGRepresentation(#imageLiteral(resourceName: "VanGogh.jpg")) as Data? {
print("There were \(data.count) bytes")
let bcf = ByteCountFormatter()
bcf.allowedUnits = [.useMB] // optional: restricts the units to MB only
bcf.countStyle = .file
let string = bcf.string(fromByteCount: Int64(data.count))
print("formatted result: \(string)")
}
}
结果如下：
There were 28865563 bytes
formatted result: 28.9 MB
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
(翻译：Mamba 是一种新的状态空间模型架构，在信息密集型数据（例如语言建模）上显示出良好的性能，而之前的二次模型在 Transformers 方面存在不足。它基于结构化状态空间模型的进展，并本着FlashAttention的精神进行高效的硬件感知设计和实现。)
这对于pdf和ppt文件也很有用。
@Nij我为任何人工作
Data。