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Create a random variable for Triangular.

    *args, **kwargs

See Triangular for more details.



Original Docstring for Distribution

Initialize a batch of Triangular distributions.


  • low: Floating point tensor, lower boundary of the output interval. Must have low < high. Default value: 0.
  • high: Floating point tensor, upper boundary of the output interval. Must have low < high. Default value: 1.
  • peak: Floating point tensor, mode of the output interval. Must have low <= peak and peak <= high. Default value: 0.5.
  • validate_args: Python bool, default False. When True distribution parameters are checked for validity despite possibly degrading runtime performance. When False invalid inputs may silently render incorrect outputs. Default value: False.
  • allow_nan_stats: Python bool, default True. When True, statistics (e.g., mean, mode, variance) use the value "NaN" to indicate the result is undefined. When False, an exception is raised if one or more of the statistic's batch members are undefined. Default value: True.
  • name: Python str name prefixed to Ops created by this class. Default value: 'Triangular'.


  • InvalidArgumentError: if validate_args=True and one of the following is True:
    • low >= high.
    • peak > high.
    • low > peak.