Add Exp and Softplus#67
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lockwo
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Apr 6, 2026
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| _is_constant_jacobian: bool = True | ||
| _is_constant_log_det: bool = True |
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These depend on x right, so should be False?
| self.assertion_fn()(log_det, -jnp.log(y)) | ||
| self.assertEqual(x.dtype, dtype) | ||
| self.assertEqual(log_det.dtype, dtype) | ||
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I like these round trip tests, e.g. the inverse(forward(x)) == x style, can we add one for exp (since there is one for soft plus)?
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Softplus's log-det depends on x, so _is_constant_jacobian/_is_constant_log_det must be False (matching lockwo's observation), not True. Add a forward/inverse round-trip test to exp_test.py matching the existing softplus test pattern.
Exponential and softplus bijectors modeled after TensorFlow Probability's implementations, mapping the real line to the positive domain.
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Adds the exponential and softplus bijectors like Tensorflow's tfp.bijectors.Exp and tfp.bijectors.Softplus.