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@ -1018,7 +1018,8 @@ class InvertPermutation(PrimitiveWithInfer):
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raise ValueError(f'For \'{self.name}\' the input value must be non-Tensor.')
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raise ValueError(f'For \'{self.name}\' the input value must be non-Tensor.')
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for shp in x_shp:
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for shp in x_shp:
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if shp != []:
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if shp != []:
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raise ValueError(f'For \'{self.name}\' the rank of input must be 1.')
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x_rank = len(np.array(x_value, np.int64).shape)
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raise ValueError(f'For \'{self.name}\' the rank of input must be 1, but got {x_rank}.')
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for i, value in enumerate(x_value):
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for i, value in enumerate(x_value):
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validator.check_value_type("input[%d]" % i, value, [int], self.name)
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validator.check_value_type("input[%d]" % i, value, [int], self.name)
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z = [x_value[i] for i in range(len(x_value))]
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z = [x_value[i] for i in range(len(x_value))]
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