forked from mindspore-Ecosystem/mindspore
asccend-categorical
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@ -25,7 +25,7 @@ import mindspore.nn as nn
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from mindspore.common import dtype as mstype
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from .distribution import Distribution
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from ._utils.utils import check_prob, check_sum_equal_one, check_rank,\
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check_distribution_name, raise_not_implemented_util
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check_distribution_name
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from ._utils.custom_ops import exp_generic, log_generic, broadcast_to
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@ -405,8 +405,6 @@ class Categorical(Distribution):
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Returns:
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Tensor, shape is shape(probs)[:-1] + sample_shape
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"""
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if self.device_target == 'Ascend':
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raise_not_implemented_util('On d backend, sample', self.name)
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shape = self.checktuple(shape, 'shape')
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probs = self._check_param_type(probs)
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num_classes = self.shape(probs)[-1]
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