libprotobuf map.h error when running universal sentence encoder #253
Description
I'm trying to embed a string using the universal sentence encoder, but I'm hitting this error when running the model:
[libprotobuf FATAL external/com_google_protobuf/src\google/protobuf/map.h:1293] CHECK failed: it != end(): key not found: value
I'm compiling like so (using windows):
g++ -std=c++17 -I/path/to/libtensorflow-cpu-windows-x86_64-2.15.0/include -I/path/to/cppflow-master/include -L/path/to/libtensorflow-cpu-windows-x86_64-2.15.0/lib hello_tf.cpp -ltensorflow -o hello_tf
This is hello_tf.cpp:
#include <iostream>
#include <tensorflow/c/c_api.h>
#include <cppflow/cppflow.h>
int main() {
printf("Hello from TensorFlow C library version %s\n", TF_Version());
cppflow::model model("model-use");
auto input = cppflow::reshape(cppflow::tensor(std::string("hello")), {-1});
std::cout << input << std::endl;
auto output_tensor = model({{"serving_default_inputs:0", input}},{"StatefulPartitionedCall_1:0"}); // <-- Line causing the error
return 0;
}
This is the output of the saved_model_cli command on the saved model .pb file:
The given SavedModel SignatureDef contains the following input(s):
inputs['inputs'] tensor_info:
dtype: DT_STRING
shape: (-1)
name: serving_default_inputs:0
The given SavedModel SignatureDef contains the following output(s):
outputs['outputs'] tensor_info:
dtype: DT_FLOAT
shape: (-1, 512)
name: StatefulPartitionedCall_1:0
Method name is: tensorflow/serving/predict
If I change "serving_default_inputs:0" to "serving_default_inputs" and "StatefulPartitionedCall_1:0" to "StatefulPartitionedCall" when calling the model, then it doesn't fail, and instead returns this: (tensor: shape=[], dtype=TF_FLOAT, data=1). I am hoping to get a 512 dimensional vector out of it.
Any help is very much appreciated!