[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.concatenate\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/internal/tensorshape_util.py#L112-L129) |\n\nReturns the concatenation of the dimension in `x` and `other`. \n\n tfp.experimental.distributions.marginal_fns.ps.tensorshape_util.concatenate(\n x, other\n )\n\n| **Note:** If either `x` or `other` is completely unknown, concatenation will discard information about the other shape. In future, we might support concatenation that preserves this information for use with slicing.\n\nFor more details, see `help(tf.TensorShape.concatenate)`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|----------------------------------------------------------------------------------------------------------------------------|\n| `x` | object representing a shape; convertible to [`tf.TensorShape`](https://www.tensorflow.org/api_docs/python/tf/TensorShape). |\n| `other` | object representing a shape; convertible to [`tf.TensorShape`](https://www.tensorflow.org/api_docs/python/tf/TensorShape). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|-------------|-----------------------------------------------------------------------------------------------|\n| `new_shape` | an object like `x` whose elements are the concatenation of the dimensions in `x` and `other`. |\n\n\u003cbr /\u003e"]]