I added a timer to the neural load function like this
Code:
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)
Code:
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

Last edited by Dalla; 01/01/18 21:51.