[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21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.substrates.numpy.vi.log1p_abs\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/substrates/numpy/vi/csiszar_divergence.py#L606-L647) |\n\nThe log1p-abs Csiszar-function in log-space.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tfp.experimental.substrates.numpy.vi.log1p_abs`](https://www.tensorflow.org/probability/api_docs/python/tfp/substrates/numpy/vi/log1p_abs)\n\n\u003cbr /\u003e\n\n tfp.substrates.numpy.vi.log1p_abs(\n logu, name=None\n )\n\nA Csiszar-function is a member of, \n\n F = { f:R_+ to R : f convex }.\n\nThe Log1p-Abs Csiszar-function is: \n\n f(u) = u**(sign(u-1)) - 1\n\nThis function is so-named because it was invented from the following recipe.\nChoose a convex function g such that g(0)=0 and solve for f: \n\n log(1 + f(u)) = g(log(u)).\n \u003c=\u003e\n f(u) = exp(g(log(u))) - 1\n\nThat is, the graph is identically `g` when y-axis is `log1p`-domain and x-axis\nis `log`-domain.\n| **Warning:** this function makes non-log-space calculations and may therefore be numerically unstable for `|logu| \u003e\u003e 0`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|-------------------------------------------------------------|\n| `logu` | `float`-like `Tensor` representing `log(u)` from above. |\n| `name` | Python `str` name prefixed to Ops created by this function. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|------------------|-----------------------------------------------------------------------------|\n| `log1p_abs_of_u` | `float`-like `Tensor` of the Csiszar-function evaluated at `u = exp(logu)`. |\n\n\u003cbr /\u003e"]]