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resnet50_imagenet_rb_sparsity_int8.json 953 Bytes
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Vasily Shamporov 提交于 2021-07-13 15:26 . Hw config in tf (#836)
{
"model": "ResNet50",
"pretrained": true,
"input_info": {
"sample_size": [1, 224, 224, 3]
},
"batch_size" : 256,
"epochs": 32,
"optimizer": {
"type": "Adam",
"schedule_type": "piecewise_constant",
"schedule_params": {
"boundaries": [17, 22, 27],
"values": [1e-3, 1e-4, 1e-5, 1e-6]
}
},
"dataset": "imagenet2012",
"dataset_type": "tfds",
"compression": [
{
"algorithm": "rb_sparsity",
"sparsity_init": 0.02,
"params": {
"sparsity_target": 0.65,
"sparsity_target_epoch": 7,
"sparsity_freeze_epoch": 13
}
},
{
"algorithm": "quantization",
"weights": {
"per_channel": false
},
"activations": {
"per_channel": false
}
}
]
}
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