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{
"operator_name": "custom_Upsample",
"framework": "caffe",
"DDK_PATH": "/home/mindstudio/tools/che/ddk/ddk",
"custom_caffe_proto_file": "/home/mindstudio/caffe.proto",
"same_input_output_shape": "False",
"input_num": "2",
"weight_num": "2",
"weight_num_param": [
{
"weight_1": "5",
"weight_2": "3"
}
],
"filter_caffe_param": ["min_size", "img_w", "img_size", "flip", "max_size"],
"tf_op_origin_name": "BatchMatMul",
"tensorflow_param": [
{
"param": "adj_x",
"type": "bool"
},
{
"param": "adj_y",
"type": "bool"
}
],
"project_path": "/home/mindstudio",
"caffe_operator_type": "Concat",
"pycaffe_path": "/home/mindstudio/caffe-ssd/pythonn/",
"net_prototxt": "/home/mindstudio/RP2/ATK-Ops-zly/src/common/op_verify_files/caffe_files/EasyTRConcat.prototxt",
"net_caffemodel": "/home/mindstudio/RP2/ATK-Ops-zly/src/common/op_verify_files/caffe_files/EasyTRConcat.caffemodel",
"net_pb": "/home/mindstudio/yolov3.pb",
"operator_path": "/home/mindstudio/RP2/ATK-Ops/src/custom_batch_matmul/operator/custom_batch_matmul.py",
"plugin_path": "/home/mindstudio/director/tools/Auto_Operator/custom_floor/plugin",
"single_operator_run_cfg": {
"dtype": "float32",
"precision_deviation": "0.2",
"statistical_discrepancy": "0.2"
}
}
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