Purna Chandra Mansingh
Purna Chandra Mansingh
**What is this PR about?** Addressing #5383 This enables `StickBreakingWeight`'s `alpha` to accept batched data (>2D), make the `infer_shape` work with batched data, and fix the `rng_fn` by broadcasting alpha...
Addressing #5659 Kept the original dims in the log_jac_det by changing ``` def log_jac_det(self, value, *inputs): return at.sum(value[..., 1:], axis=-1) ``` to ``` def log_jac_det(self, value, *inputs): return at.sum(value[..., 1:],...
Addressing #5076 Deleted the code that was added to facilitate sampling from the prior as a starting point for SMC.
```python import numpy as np import aesara.tensor as at x = np.full((2, 3, 3), np.eye(3)) np.linalg.det(x) # broadcast operation fine at.linalg.det(x) # AssertionError x.ndim == 2 ```
I'm wondering if we should remove the [CholeskyGrad](https://github.com/aesara-devs/aesara/blob/main/aesara/tensor/slinalg.py#L126-L190) Op entirely because we have a working [L_Op](https://github.com/aesara-devs/aesara/blob/main/aesara/tensor/slinalg.py#L70) inside the `Cholesky` Op and are no longer using `CholeskyGrad` Op. Thanks to @ricardoV94...
Addressing #791 This PR adds Op to `aesara.tensor.nlinalg` that wraps `numpy.linalg.solve` for solving linear matrix equations, or system of linear scalar equations, and computing the reverse-mode gradients. Now, since there...
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This PR builds off of #757 and closes #695. To #757 it adds: - `get_output_info()`, which is the same as `Elemwise` get_output_info(), to make all inputs of the same dimension....
## Description Updated the README to include a new sponsor logo and changed the layout of the sponsor section to a 1x3 grid view using reStructuredText tables for better visual...