Comments (4)
Can you provide more details like the code for handling input and output in both cases ( in python and c) and also the model execution code?
from tensorflow.
Hi @sawantkumar, Thank you for your response. However, I can't share the .tflite model and data.
but i can share with you how i'm allocating input tensor and output tensor.
interprater method:
// Allocate tensors
if (TfLiteInterpreterAllocateTensors(interpreter) != kTfLiteOk) {
fprintf(stderr, "Failed to allocate tensors\n");
return 1;
}
const TfLiteTensor* input_tensor = TfLiteInterpreterGetInputTensor(interpreter, 0);
//and here i'm looping on a file to load data in the input_tensor
Signature Runner method
// Allocate tensors
if (TfLiteSignatureRunnerAllocateTensors(signature_runner) != kTfLiteOk) {
fprintf(stderr, "Failed to allocate tensors\n");
return 1;
const char *signature_inputName = TfLiteSignatureRunnerGetInputName(signature_runner, 0);
printf("Signature input name: %s\n", signature_inputName);
}
TfLiteTensor *input_tensor = TfLiteSignatureRunnerGetInputTensor(signature_runner, signature_inputName);
//and here i'm looping on a file to load data in the input_tensor
python
interpreter.allocate_tensors()
signature = interpreter.get_signature_runner('signature_name')
infe = serving_default(input=input) #same input of the c program
output = infe['output']
from tensorflow.
Hi @saad-koukous ,
Can you provide me with some more details like what kind of model this is, an object detection or some nlp model, what do you mean when you say you don't get the same output? Also if you can let me what specific layers are being used and what activation functions are being used in your tflite model, it will be easier for me to debug the issue.
from tensorflow.
Hi @sawantkumar,
The model is designed for image segmentation, and when I input the same data into the TensorFlow Lite model using both Python and the C API, I'm not getting the same results at all; in fact, the results are significantly different.
the input is a matrix where elements are float32.
from tensorflow.
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from tensorflow.