When I use tensorflow_lite(1.13.1) it has report error it looks ...

[csdf-ssm]

error tip : Model provided has model identifier 'AFRG', should be 'TFL3'

I have model.tflite when I creat
model = tflite::FlatBufferModel::BuildFromBuffer(newmodel_data, modellength);

How Can I do?

[tilakrayal]

@csdf-ssm , We see that you are using tf version 1.13, 1.x is not actively supported, please update to latest stable tf v2.7 and let us know if you are facing same issue.

[csdf-ssm]

I had download tensorflow.git and use demo in /tensorflow/tensorflow/lite/examples/ios/camera directory ,run pod and it pod.lock PODS:

• TensorFlowLite (1.13.1)

DEPENDENCIES:

• TensorFlowLite (= 1.13.1)

SPEC REPOS: trunk:

• TensorFlowLite

SPEC CHECKSUMS: TensorFlowLite: 8b9dc4eb32eac0f8cb660c66bca7604da56dcc5a

PODFILE CHECKSUM: 1f44a2ab814725d3675508d4a66a5efdb4140d58

COCOAPODS: 1.11.2

then I check my pods version and it shows last version is 1.13.1 -> TensorFlowLite (1.13.1) TensorFlow Lite pod 'TensorFlowLite', '~> 1.13.1'

• Homepage: https://www.tensorflow.org/lite/
• Source:
  https://dl.google.com/dl/cpdc/a3cc8a8fb2aec8f6/TensorFlowLite-1.13.1.tar.gz
• Versions: 1.13.1, 1.12.0, 1.11.0, 1.10.1, 1.10.0, 1.9.0, 0.1.7, 0.0.3, 0.0.2 [master repo]

[csdf-ssm]

@csdf-ssm , We see that you are using tf version 1.13, 1.x is not actively supported, please update to latest stable tf v2.7 and let us know if you are using same issue.

@tilakrayal
I had download tensorflow.git and use demo in /tensorflow/tensorflow/lite/examples/ios/camera directory ,run pod and it pod.lock PODS:

TensorFlowLite (1.13.1) DEPENDENCIES:

TensorFlowLite (= 1.13.1) SPEC REPOS: trunk:

• TensorFlowLite

SPEC CHECKSUMS: TensorFlowLite: 8b9dc4eb32eac0f8cb660c66bca7604da56dcc5a

PODFILE CHECKSUM: 1f44a2ab814725d3675508d4a66a5efdb4140d58

COCOAPODS: 1.11.2

then I check my pods version and it shows last version is 1.13.1 -> TensorFlowLite (1.13.1) TensorFlow Lite pod 'TensorFlowLite', '~> 1.13.1'

Homepage: https://www.tensorflow.org/lite/ Source: https://dl.google.com/dl/cpdc/a3cc8a8fb2aec8f6/TensorFlowLite-1.13.1.tar.gz Versions: 1.13.1, 1.12.0, 1.11.0, 1.10.1, 1.10.0, 1.9.0, 0.1.7, 0.0.3, 0.0.2 [master repo]

[csdf-ssm]

@tilakrayal and I also download tensorflowSwift demo ImageClassification run success but I do not want load model.tllite filepath to creat Model,You know I mean? show code:

    interpreter = try Interpreter.init(modelPath: modelPath, options: options, delegates: nil)

and Interpreter Class public init(modelPath: String, options: Options? = nil, delegates: [Delegate]? = nil) throws { guard let model = Model(filePath: modelPath) else { throw InterpreterError.failedToLoadModel } guard let cInterpreterOptions = TfLiteInterpreterOptionsCreate() else { throw InterpreterError.failedToCreateInterpreter } and in Model Class : /// - filePath: The local file path to a TensorFlow Lite model. init?(filePath: String) { guard !filePath.isEmpty, let cModel = TfLiteModelCreateFromFile(filePath) else { return nil } self.cModel = cModel } this guard !filePath.isEmpty, let cModel = TfLiteModelCreateFromFile(filePath) else { return nil }

i want to use that method // Returns a model from the provided buffer, or null on failure. TFL_CAPI_EXPORT extern TfLiteModel TfLiteModelCreate(const void model_data, size_t model_size); but run error ,I do not know where I have make a mistake; in my demo
let data = try! Data.init(contentsOf: URL.init(fileURLWithPath: modelPath)) var bytes = UInt8 let unsafeMutableRawBufferPointer = bytes.withUnsafeMutableBytes { $0 } let unsafeMutablePointer = unsafeMutableRawBufferPointer.baseAddress

this is my question ,sorry The code is a mess,but do you know what i mean? if you can ,can show me a demo to load model with TfLiteModel TfLiteModelCreate(const void model_data, size_t model_size); Thanks!

[tilakrayal]

@csdf-ssm , As commented tf v1.x is not supported actively, please update to 2.x and let us know if you are facing same issue.Thanks

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