Comments (2)
The alternative for the print statements that should exist is to pass the kwarg file=sys.stdout
to print. But there might be many that should not exist!
from pytensor.
Should probably use the logger for anything that is actually supposed to be printed to the console?
from pytensor.
Related Issues (20)
- Implement all Ops in PyTorch (help welcome!) HOT 13
- Update APIs to be compatible with NumPy 2.0 or pin NumPy to latest 1.x version HOT 1
- `tensor.where` does not behave like `np.where` when only one input (condition) is passed
- Default MvNormal covariance doesn't make sense HOT 2
- Allow specifying shape of dtyped tensor constructors
- AdvancedSubtensor1 and AdvancedIncSubtensor1 are not needed in JAX and Numba backends
- Allow sparse variables to have dummy dimensions to the left?
- Rewrite to remove useless Reshape
- Use `expand_dims` / `squeeze` in JAX implementation of `Dimshuffle`
- Check and Update support for Numba Ops
- More exhausitve list of functions in API section of docs
- `pt.linalg.det` should eagerly fail if known shapes are not square
- Softmax fails with integer dtypes only at runtime HOT 1
- Scipy 1.14.0 changed the upcasting rule of several special functions when passing integers HOT 1
- Recognize `dot` from naive sum of broadcasted muls
- BUG: Cannot access `ndims_params` from `rng_fn()` classmethod HOT 3
- Implement faster Multinomial JAX dispatch
- Flaky `tests/tensor/rewriting/test_linalg.py::test_local_lift_through_linalg[kron-pinv-batched] - AssertionError: `
- Add `infer_shape` method to Op base class?
- Infer flops and memory usage of each Op
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from pytensor.