I added a timer to the neural load function like this
if(mode == NEURAL_LOAD) {
printf("nLoad %s",strrchr(Data,'')+1);
timer();
int neuralLoadReturnCode = Rx(strf("neural.load('%s')",slash(Data)),3);
printf("nNEURAL_LOAD call time = %.3f ms",timer());
return neuralLoadReturnCode;
}
This is the output (only included first five model calls)
Load KerasDeepLearn_USDJPY_1.ml
neural.load('Y:/Zorro/Data/KerasDeepLearn_USDJPY_1.ml')
NEURAL_LOAD call time = 14981.734 ms
Load KerasDeepLearn_USDJPY_2.ml
neural.load('Y:/Zorro/Data/KerasDeepLearn_USDJPY_2.ml')
NEURAL_LOAD call time = 11214.417 ms
Load KerasDeepLearn_USDJPY_3.ml
neural.load('Y:/Zorro/Data/KerasDeepLearn_USDJPY_3.ml')
NEURAL_LOAD call time = 13523.271 ms
Load KerasDeepLearn_USDJPY_4.ml
neural.load('Y:/Zorro/Data/KerasDeepLearn_USDJPY_4.ml')
NEURAL_LOAD call time = 17167.255 ms
Load KerasDeepLearn_USDJPY_5.ml
neural.load('Y:/Zorro/Data/KerasDeepLearn_USDJPY_5.ml')
NEURAL_LOAD call time = 19805.827 ms
As you can see the calls take 10 to 20 seconds
I should add the the models are small, only ~70kb in size
I also tried setting up a completly new environment on AWS and ran the same script, but the issue remains
