| { |
| "models": [ |
| { |
| "name": "mobilenet_float", |
| "baselineSec": 0.060, |
| "inputSize": [1, 224, 224, 3], |
| "inputOutputs": [ |
| { |
| "input": "mobilenet_float/panda.input", |
| "output": "mobilenet_float/panda.output", |
| "dataSize": 4 |
| } |
| ] |
| }, |
| { |
| "name": "mobilenet_quantized", |
| "baselineSec": 0.060, |
| "inputSize": [1, 224, 224, 3], |
| "inputOutputs": [ |
| { |
| "input": "mobilenet_quantized/panda.input", |
| "output": "mobilenet_quantized/panda.output", |
| "dataSize": 1 |
| } |
| ] |
| }, |
| { |
| "name": "hdrnet_float", |
| "baselineSec": 0.011, |
| "inputSize": [1, 256, 256, 3], |
| "inputOutputs": [ |
| { |
| "input": "hdrnet_float/panda.input", |
| "output": "hdrnet_float/panda.output", |
| "dataSize": 4 |
| } |
| ] |
| }, |
| { |
| "name": "hdrnet_quantized", |
| "baselineSec": 0.006, |
| "inputSize": [1, 256, 256, 3], |
| "inputOutputs": [ |
| { |
| "input": "hdrnet_quantized/panda.input", |
| "output": "hdrnet_quantized/panda.output", |
| "dataSize": 1 |
| } |
| ] |
| } |
| ] |
| } |