在allocateTensors中获取`bad_alloc`

时间:2019-06-26 12:36:51

标签: ios swift tensorflow

在尝试获取我的bad_alloc模型时,我遇到了.tflite异常, iOS Tensorflow示例之一。

这是获取模型的代码:

// Construct the path to the model file.
        guard let modelPath = Bundle.main.path(
            forResource: modelFilename,
            ofType: modelFileInfo.extension
            ) else {
                print("Failed to load the model file with name: \(modelFilename).")
                return nil
        }

        // Specify the options for the `Interpreter`.
        self.threadCount = threadCount
        var options = InterpreterOptions()
        options.isErrorLoggingEnabled = true
        options.threadCount = threadCount
        do {
            // Create the `Interpreter`.
            interpreter = try Interpreter(modelPath: modelPath, options: options)
            // Allocate memory for the model's input `Tensor`s.
            try interpreter.allocateTensors()
        } catch let error {
            print("Failed to create the interpreter with error: \(error.localizedDescription)")
            return nil
        }

        super.init()

以下是日志:

2019-06-26 15:25:45.414765+0300 Celly[5485:1152189] Initialized TensorFlow Lite runtime.
Celly(5485,0x1006aebc0) malloc: can't allocate region
*** mach_vm_map(size=1800945664) failed (error code=3)
Celly(5485,0x1006aebc0) malloc: *** set a breakpoint in malloc_error_break to debug
libc++abi.dylib: terminating with uncaught exception of type std::bad_alloc: std::bad_alloc

是否有已知的解决方法或文档的帮助?模型是否存在问题,因此需要对其进行优化或适当配置?

0 个答案:

没有答案
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