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dfdb284e16
All functions that take an optional dtype should
* have a default dtype visible in the generated docs (accomplished via `"dtype"_a = std::optional{float32}`)
* behave identical when `dtype=None` or no dtype is passed
This important when passing kw args down from a numpy function like:
```
def f(x, dtype=None):
mx.random.uniform(dtype=dtype)
# ...
```
NumPy functions behave like this.
It also fixes a minor bug in `tri`: #378
Closes #378
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| .. | ||
| mlx_tests.py | ||
| test_array.py | ||
| test_autograd.py | ||
| test_bf16.py | ||
| test_blas.py | ||
| test_conv.py | ||
| test_device.py | ||
| test_eval.py | ||
| test_fft.py | ||
| test_linalg.py | ||
| test_load.py | ||
| test_losses.py | ||
| test_nn.py | ||
| test_ops.py | ||
| test_optimizers.py | ||
| test_quantized.py | ||
| test_random.py | ||
| test_reduce.py | ||
| test_tree.py | ||
| test_vmap.py | ||