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mask_rcnn_coco_int8.json 1.42 KB
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Alexander Suslov 提交于 2022-12-21 10:55 . Make e2e green again (#1436)
{
"model": "MaskRCNN",
"input_info": {
"sample_size": [1, 1024, 1024, 3]
},
"epochs": 1,
"batch_size": 16,
"weight_decay": 0.0001,
"dataset": "coco/2017",
"disable_tensor_float_32_execution": true,
"optimizer": {
"type": "Adam",
"schedule_type": "piecewise_constant",
"schedule_params": {
"boundaries": [1],
"values": [1e-6, 1e-6]
}
},
"compression": {
"algorithm": "quantization",
"ignored_scopes": [
"gt_boxes",
"gt_masks",
"image_info",
"{re}.*tf.math.subtract.*",
"{re}.*tf.math.multiply.*",
"tf.__operators__.add_19",
"{re}.*tf.__operators__.add_[2-9]\\d",
"{re}.*tf.__operators__.add_[1-9]\\d\\d",
"{re}.*tf.math.sqrt.*",
"{re}.*tf.math.floor.*",
"{re}.*tf.compat.v1.floor_div.*",
"{re}.*tf.math.truediv.*",
"{re}.*tf.math.divide.*",
"{re}.*tf.math.pow.*",
"{re}.*tf.math.greater.*",
"{re}.*tf.math.minimum.*",
"{re}.*tf.math.maximum.*",
"{re}.*tf.math.reduce_max.*",
"{re}.*tf.math.reduce_min.*",
"{re}.*tf.nn.avg_pool.*",
"mask_fcn_logits",
"conv5-mask",
"mask-conv-l3",
"mask-conv-l2",
"mask-conv-l1",
"mask-conv-l0",
"fc1",
"fc0",
"class-predict",
"box-predict"
]
}
}
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