[GSoC] Provide a PyTorch MNIST Example for Push-based Metrics Collection #1113

Job	Run time
e2e (v1.27.11, long-running-resume,from-volume-resume,median-stop)	15m 31s
e2e (v1.27.11, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	24m 22s
e2e (v1.27.11, file-metrics-collector,pytorchjob-mnist)	13m 42s
e2e (v1.27.11, median-stop-with-json-format,file-metrics-collector-with-json-format)	6m 18s
e2e (v1.28.7, long-running-resume,from-volume-resume,median-stop)	18m 55s
e2e (v1.28.7, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	20m 27s
e2e (v1.28.7, file-metrics-collector,pytorchjob-mnist)	15m 7s
e2e (v1.28.7, median-stop-with-json-format,file-metrics-collector-with-json-format)	13m 1s
e2e (v1.29.2, long-running-resume,from-volume-resume,median-stop)	14m 57s
e2e (v1.29.2, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	20m 31s
e2e (v1.29.2, file-metrics-collector,pytorchjob-mnist)	13m 31s
e2e (v1.29.2, median-stop-with-json-format,file-metrics-collector-with-json-format)	12m 54s
	3h 9m 16s

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