sample.json

{
	"guid": "B213F6A5-E0C3-4267-8D0B-DDA5073A3F23",
	"name": "Intel® TensorFlow Model Zoo Inference With FP32 Int8",
	"categories": ["Toolkit/oneAPI AI And Analytics/Features And Functionality"],
	"description": "This code example illustrates how to run FP32 and Int8 inference on Resnet50 with TensorFlow using Intel® Model Zoo",
	"builder": ["cli"],
	"languages": [{
		"python": {}
	}],
	"os": ["linux"],
	"targetDevice": ["CPU"],
	"ciTests": {
		"linux": [{
			"id": "model_zoo_sample_test",
			"steps": [
				"source activate tensorflow",
                                "pip install runipy",
				"runipy ResNet50_Inference.ipynb"
			]
		}]
	},
    "expertise": "Code Optimization"
}