我想转换一个onnx模型,用于时间序列的分类。模型为shufflenet v2,所有conv、gap等都是1d的。输入为[batch, channel, point_num]的npy文件。
load时报警:
W Warning: Axis may need to be adjusted according to original model shape.
build时报错:
E The mean_values length of input 1 must equal 1, such as "0 " (MEAN )!
请问该如何解决?
我想转换一个onnx模型,用于时间序列的分类。模型为shufflenet v2,所有conv、gap等都是1d的。输入为[batch, channel, point_num]的npy文件。 load时报警: W Warning: Axis may need to be adjusted according to original model shape. build时报错: E The mean_values length of input 1 must equal 1, such as "0 " (MEAN )! 请问该如何解决?