示例#1
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 def SoftFuseDWConvToPad(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups,
                               NNDCT_OP.DEPTHWISE_CONV2D, NNDCT_OP.PAD)
示例#2
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 def SoftFuseChunk(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.CHUNK)
示例#3
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 def SoftFuseConvToSpaceBatchNd(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.CONV2D,
                                 NNDCT_OP.SPACE_TO_BATCH_ND)
示例#4
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 def SoftFuseReduceSum(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.SUM)
示例#5
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 def SoftFuseRepeat(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.REPEAT)
示例#6
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 def SoftFuseClamp(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.CLAMP)
示例#7
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 def SoftFuseFlatten(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.FLATTEN)
示例#8
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 def SoftFuseExpand(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.EXPAND)
示例#9
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 def SoftFuseLeakyRelu(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.LEAKY_RELU)
示例#10
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 def SoftFuseChannelScale(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.CHANNEL_SCALE)
示例#11
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 def SoftFuseContiguous(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.CONTIGUOUS)
示例#12
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 def SoftFuseDropout(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.DROPOUT)
示例#13
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 def SoftFuseUpSampling(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.UP_SAMPLING)
示例#14
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 def SoftFusePermute(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.PERMUTE)
示例#15
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 def SoftFuseSqueeze(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.SQUEEZE)
示例#16
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 def SoftFuseDivide(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.DIV)
示例#17
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 def SoftFusePixelShuffle(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.PIXEL_SHUFFLE)
示例#18
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 def SoftFuseInplaceCopy(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups,
                                 NNDCT_OP.INPLACE_COPY)
示例#19
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 def SoftFuseSplit(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.SPLIT)
示例#20
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 def SoftFuseSelect(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.SELECT)
示例#21
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 def SoftFuseStrideSlice(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.STRIDED_SLICE)
示例#22
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 def SoftFuseBatchSpaceNdToConv(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups,
                                 NNDCT_OP.BATCH_TO_SPACE_ND,
                                 NNDCT_OP.CONV2D)
示例#23
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 def SoftFuseTranspose(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.TRANSPOSE)
示例#24
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 def SoftFuseHardtanh(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.HARDTANH)
示例#25
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 def SoftFuseTile(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.TILE)
示例#26
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 def SoftFuseReluk(graph, quant_groups):
     return graph_utils.group_up(graph, quant_groups, NNDCT_OP.RELUK)
示例#27
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 def SoftFuseConvToPad(graph, quant_groups):
   return graph_utils.group_up(graph, quant_groups, NNDCT_OP.CONV2D,
                               NNDCT_OP.PAD)