[Example PR] Sample || CIFAR10 || Stanford DAWN

CIFAR10/inference/dawn_sample_1k80-gc_keras.json

@@ -0,0 +1,14 @@
+{
+    "version": "v1.0",
+    "author": "Stanford DAWN",
+    "authorEmail": "[email protected]",
+    "framework": "Keras",
+    "codeURL": "https://github.com/sample-user/sample",
+    "model": "Sample",
+    "hardware": "1 K80 / 30 GB / 8 CPU (Google Cloud)",
+    "latency": 16.32,
+    "cost": 4.2e-6,
+    "top1Accuracy": 96.72,
+    "timestamp": "2017-08-16",
+    "misc": "CUDA version: 8.0, CuDNN version: 5.1, <other misc. information>"
+}

CIFAR10/train/dawn_sample_1k80-gc_keras.json

@@ -0,0 +1,12 @@
+{
+    "version": "v1.0",
+    "author": "Stanford DAWN",
+    "authorEmail": "[email protected]",
+    "framework": "Keras",
+    "codeURL": "https://github.com/sample-user/sample",
+    "model": "Sample",
+    "hardware": "1 K80 / 30 GB / 8 CPU (Google Cloud)",
+    "costPerHour": 0.90,
+    "timestamp": "2017-08-16",
+    "misc": "CUDA version: 8.0, CuDNN version: 5.1, <other misc. information>"
+}

CIFAR10/train/dawn_sample_1k80-gc_keras.tsv

@@ -0,0 +1,182 @@
+epoch	hours	top1Accuracy
+1.00096	0.033987176484531825	47.07
+2.00192	0.06755318529076046	54.32
+3.00288	0.10114611678653293	69.17999999999999
+4.00384	0.1347468275494046	67.15
+5.0048	0.16835319419701897	72.25
+6.00576	0.20196090512805515	68.6
+7.00672	0.2355709682570563	78.41
+8.00768	0.2691839835378859	75.59
+9.00864	0.3027776098251343	79.59
+10.0096	0.3363498193687862	77.71000000000001
+11.01056	0.36995116684171886	77.49000000000001
+12.01152	0.40355858928627436	80.23
+13.01248	0.43715506818559435	79.78
+14.01344	0.4707423682345284	81.26
+15.0144	0.5043294195996391	77.82
+16.01536	0.5379081993632846	80.93
+17.01632	0.5714905216296514	79.2
+18.01728	0.6050832572248247	82.03
+19.01824	0.6386765475405587	80.91000000000001
+20.0192	0.6722637193070518	79.72
+21.02016	0.705847806069586	81.58
+22.02112	0.7394417661428452	82.27
+23.02208	0.77302337580257	81.77
+24.02304	0.8066028617488014	78.79
+25.024	0.840181536078453	81.67
+26.02496	0.873760889172554	81.12
+27.02592	0.9073205113410949	84.92
+28.02688	0.9408753348059125	82.59
+29.02784	0.9744439050224092	83.34
+30.0288	1.0080166516039106	82.35
+31.02976	1.0415821135044099	82.76
+32.03072	1.0751488788922627	84.84
+33.03168	1.1086722428268856	84.2
+34.03264	1.14222743915187	85.2
+35.0336	1.1758082744148042	82.03
+36.03456	1.2093527754147848	82.16
+37.03552	1.242895434829924	84.96000000000001
+38.03648	1.2764438802666132	83.16
+39.03744	1.3100135133663813	83.43
+40.0384	1.3435643377568987	85.2
+41.03936	1.377109131217003	82.78
+42.04032	1.4106746231185068	84.88
+43.04128	1.4442214912838407	81.16
+44.04224	1.4777717614836166	85.34
+45.0432	1.5113218412796656	83.78
+46.04416	1.5448801714181897	82.46
+47.04512	1.578431221842766	82.16
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+52.04992	1.746108614669906	84.52
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+62.05952	2.0815043228202397	85.64
+63.06048	2.1150301159090468	85.42
+64.06144	2.148551503486103	84.84
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+66.06336	2.2156217583020528	85.2
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+68.06528	2.2826711338096195	86.57000000000001
+69.06624	2.3161758952008356	85.00999999999999
+70.0672	2.3496948274638916	83.48
+71.06816	2.3832246726751327	85.50999999999999
+72.06912	2.4167552313539717	86.53
+73.07008	2.45028152777089	86.83
+74.07104	2.483825843003061	85.42999999999999
+75.072	2.517344880898793	85.85000000000001
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+77.07392	2.5843640040689047	85.5
+78.07488	2.617874595191743	85.66
+79.07584	2.651385233071115	85.69
+80.0768	2.684891065822707	85.61
+81.07776	2.718416044910749	86.25
+82.07872	2.751946502394147	85.59
+83.07968	2.785472835501035	85.34
+84.08064	2.818987736304601	84.41
+85.0816	2.852485007445018	85.89
+86.08256	2.8859982000456923	83.81
+87.08352	2.9195051095220776	84.6
+88.08448	2.9530086455742524	83.73
+89.08544	2.9865299754010306	87.14
+90.0864	3.0200495178169677	85.25
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+93.08928	3.1206197741958834	91.5
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+120.1152	4.025507480833266	91.53
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+122.11712	4.092543375028505	91.28
+123.11808	4.1260662625895606	91.36999999999999
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+125.12	4.193088351090749	91.46
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