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op_layer_info.py 1.84 KB
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from proto import caffe_upsample_pb2
from onnx import TensorProto

Layer_CONCAT = caffe_upsample_pb2.V1LayerParameter.CONCAT  # 3
Layer_CONVOLUTION = caffe_upsample_pb2.V1LayerParameter.CONVOLUTION  # 4
Layer_DROPOUT = caffe_upsample_pb2.V1LayerParameter.DROPOUT  # 6
Layer_INNER_PRODUCT = caffe_upsample_pb2.V1LayerParameter.INNER_PRODUCT  # 14
Layer_LRN = caffe_upsample_pb2.V1LayerParameter.LRN  # 15
Layer_POOLING = caffe_upsample_pb2.V1LayerParameter.POOLING  # 17
Layer_RELU = caffe_upsample_pb2.V1LayerParameter.RELU  # 18
Layer_SOFTMAX = caffe_upsample_pb2.V1LayerParameter.SOFTMAX  # 20
Layer_ELTWISE = caffe_upsample_pb2.V1LayerParameter.ELTWISE  # 25
Layer_UPSAMPLE = caffe_upsample_pb2.V1LayerParameter.UPSAMPLE  # 40

op_pname = {"Conv": ["_W", "_b"],
            "BatchNorm": ["_mean", "_var"],
            "Scale": ["_scale", "_b"],
            "Reshape": ["_shape"],
            "DouReshape": ["_Doureshape"],
            "InnerProduct": ["_W", "_B"],
            "Upsample": ["_roi_" ,"_Scale"],
            "PRelu": ["_slope"],
            "Transpose": ["_trans"],
            "ConvTranspose": ["_W", "_b"],
            "Slice": ['_starts', '_ends', '_axes', '_steps']
            }

op_ptype = {"Conv": [TensorProto.FLOAT, TensorProto.FLOAT],
            "BatchNorm": [TensorProto.FLOAT, TensorProto.FLOAT],
            "Scale": [TensorProto.FLOAT, TensorProto.FLOAT],
            "Reshape": [TensorProto.INT64],
            "InnerProduct": [TensorProto.FLOAT, TensorProto.FLOAT],
            "Upsample": [TensorProto.FLOAT, TensorProto.FLOAT],
            "PRelu": [TensorProto.FLOAT],
            "Transpose": [TensorProto.INT64],
            "ConvTranspose": [TensorProto.FLOAT, TensorProto.FLOAT],
            "DouReshape": [TensorProto.INT64],
            "Slice": [TensorProto.INT64, TensorProto.INT64, TensorProto.INT64, TensorProto.INT64]
            }