input_tensors.push_back({inBindingInfo.first, input_tensor});
armnn::TensorShape shape = inputTensorInfo.GetShape();
- int tensor_size = 1;
- for (int i = 0; i < inputTensorInfo.GetNumDimensions(); i++)
+ unsigned int tensor_size = 1;
+ for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); i++)
tensor_size *= shape[i];
LOGI("Input Tensor dimension = %d (size = %d)", inputTensorInfo.GetNumDimensions(), tensor_size);
output_tensors.push_back({outBindingInfo.first, output_tensor});
armnn::TensorShape shape = outputTensorInfo.GetShape();
- int tensor_size = 1;
- for (int i = 0; i < outputTensorInfo.GetNumDimensions(); i++)
+ unsigned int tensor_size = 1;
+ for (unsigned int i = 0; i < outputTensorInfo.GetNumDimensions(); i++)
tensor_size *= shape[i];
LOGI("Output Tensor dimension = %d (size = %d)", outputTensorInfo.GetNumDimensions(), tensor_size);