charlieb - 1 year ago 308

Python Question

I have a 3D array (n, 3,2) for holding groups of three 2D vectors and I'm iterating over them something like this:

`import numpy as np`

for x in np.zeros((n,2,3), dtype=np.float64):

print(x) # for example

With normal numpy this works fine but when I wrap the function in question in a

`@numba.jit(nopython=True)`

I get an error like the one below.

`numba.errors.LoweringError: Failed at nopython (nopython mode backend)`

iterating over 3D array

File "paint.py", line 111

[1] During: lowering "$77.2 = iternext(value=$phi77.1)" at paint.py (111)

For reference the actual code is here

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Answer Source

It looks like this is just not implemented.

```
In [13]: @numba.njit
...: def f(v):
...: for x in v:
...: y = x
...: return y
In [14]: f(np.zeros((2,2,2)))
NotImplementedError Traceback (most recent call last)
<snip>
LoweringError: Failed at nopython (nopython mode backend)
iterating over 3D array
File "<ipython-input-13-788b4772d1d9>", line 3
[1] During: lowering "$7.2 = iternext(value=$phi7.1)" at <ipython-input-13-788b4772d1d9> (3)
```

Seem to works ok if you loop using the index.

```
In [15]: @numba.njit
...: def f(v):
...: for i in range(len(v)):
...: y = v[i]
...: return y
In [16]: f(np.zeros((2,2,2)))
Out[16]:
array([[ 0., 0.],
[ 0., 0.]])
```

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