neural-super-sampling / scenario /parameters.json
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Update int8 model from v0.1.0 to v0.1.1
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{
"inputs": {
"x": {
"SINT": {
"scale": 0.003921568859368563,
"zero_point": -128
},
"SNORM": {
"scale": 0.49803924513980746,
"zero_point": -1.0078740157480315
}
}
},
"outputs": {
"activation_post_process_45": {
"SINT": {
"scale": 0.003937007859349251,
"zero_point": -127
},
"SNORM": {
"scale": 0.49999999813735485,
"zero_point": -1.0
}
},
"activation_post_process_50": {
"SINT": {
"scale": 0.003937007859349251,
"zero_point": -127
},
"SNORM": {
"scale": 0.49999999813735485,
"zero_point": -1.0
}
},
"activation_post_process_55": {
"SINT": {
"scale": 0.003937007859349251,
"zero_point": -127
},
"SNORM": {
"scale": 0.49999999813735485,
"zero_point": -1.0
}
},
"activation_post_process_60": {
"SINT": {
"scale": 0.003937007859349251,
"zero_point": -127
},
"SNORM": {
"scale": 0.49999999813735485,
"zero_point": -1.0
}
},
"activation_post_process_65": {
"SINT": {
"scale": 0.003937007859349251,
"zero_point": -127
},
"SNORM": {
"scale": 0.49999999813735485,
"zero_point": -1.0
}
},
"activation_post_process_70": {
"SINT": {
"scale": 0.003937007859349251,
"zero_point": -127
},
"SNORM": {
"scale": 0.49999999813735485,
"zero_point": -1.0
}
}
},
"learnt_constants": {
"dm_scale": 0.8283293843269348
}
}