We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
scico.jax
jax
Jax release 0.4.29 appears to again have broken a component of scico.jax (full log)
============================= test session starts ============================== platform linux -- Python 3.10.14, pytest-8.2.2, pluggy-1.5.0 rootdir: /home/runner/work/scico/scico configfile: pytest.ini testpaths: scico/test, docs plugins: split-0.8.2 collected 3329 items / 3 skipped scico/test/flax/test_apply.py ....... [ 0%] scico/test/flax/test_checkpoints.py .... [ 0%] scico/test/flax/test_clu.py ..... [ 0%] scico/test/flax/test_examples_flax.py ss..ssssF......................... [ 1%] ..... [ 1%] scico/test/flax/test_flax.py .......................... [ 2%] [...] =================================== FAILURES =================================== __________________________ test_blur_data_generation ___________________________ > ??? _mt19937.pyx:180: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/jax/_src/core.py:766: in __index__ raise self.aval._index(self) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = ShapedArray(int64[]) arg = Traced<ShapedArray(int64[])>with<BatchTrace(level=1/0)> with val = Array([0], dtype=int64) batch_dim = 0 def error(self, arg): > raise TracerIntegerConversionError(arg) E jax.errors.TracerIntegerConversionError: The __index__() method was called on traced array with shape int64[]. E This BatchTracer with object id 140001038232176 was created on line: E /home/runner/work/scico/scico/scico/test/flax/test_examples_flax.py:154 (random_img_gen) E See https://jax.readthedocs.io/en/latest/errors.html#jax.errors.TracerIntegerConversionError /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/jax/_src/core.py:1508: TracerIntegerConversionError During handling of the above exception, another exception occurred: Traceback (most recent call last): File "_mt19937.pyx", line 180, in numpy.random._mt19937.MT19937._legacy_seeding File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/jax/_src/core.py", line 766, in __index__ raise self.aval._index(self) File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/jax/_src/core.py", line 1508, in error raise TracerIntegerConversionError(arg) jax.errors.TracerIntegerConversionError: The __index__() method was called on traced array with shape int64[]. This BatchTracer with object id 140001038232176 was created on line: /home/runner/work/scico/scico/scico/test/flax/test_examples_flax.py:154 (random_img_gen) See https://jax.readthedocs.io/en/latest/errors.html#jax.errors.TracerIntegerConversionError During handling of the above exception, another exception occurred: jax.errors.SimplifiedTraceback: For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these. The above exception was the direct cause of the following exception: def test_blur_data_generation(): N = 32 nimg = 8 n = 3 # convolution kernel size blur_kernel = np.ones((n, n)) / (n * n) def random_img_gen(seed, size, ndata): np.random.seed(seed) return np.random.randn(ndata, size, size, 1) > img, blurn = generate_blur_data(nimg, N, blur_kernel, noise_sigma=0.01, imgfunc=random_img_gen) scico/test/flax/test_examples_flax.py:157: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ scico/flax/examples/data_generation.py:318: in generate_blur_data img = distributed_data_generation(imgfunc, size, nimg, False) scico/flax/examples/data_generation.py:382: in distributed_data_generation imgs = jax.vmap(imgenf, (0, None, None))(idx, size, ndata_per_proc) scico/test/flax/test_examples_flax.py:154: in random_img_gen np.random.seed(seed) numpy/random/mtrand.pyx:4806: in numpy.random.mtrand.seed ??? numpy/random/mtrand.pyx:250: in numpy.random.mtrand.RandomState.seed ??? _mt19937.pyx:168: in numpy.random._mt19937.MT19937._legacy_seeding ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E jax.errors.TracerArrayConversionError: The numpy.ndarray conversion method __array__() was called on traced array with shape int64[]. E This BatchTracer with object id 140001038232176 was created on line: E /home/runner/work/scico/scico/scico/test/flax/test_examples_flax.py:154 (random_img_gen) E See https://jax.readthedocs.io/en/latest/errors.html#jax.errors.TracerArrayConversionError _mt19937.pyx:185: TracerArrayConversionError =========================== short test summary info ============================ FAILED scico/test/flax/test_examples_flax.py::test_blur_data_generation - jax.errors.TracerArrayConversionError: The numpy.ndarray conversion method __array__() was called on traced array with shape int64[]. This BatchTracer with object id 140001038232176 was created on line: /home/runner/work/scico/scico/scico/test/flax/test_examples_flax.py:154 (random_img_gen) See https://jax.readthedocs.io/en/latest/errors.html#jax.errors.TracerArrayConversionError ====== 1 failed, 3280 passed, 24 skipped, 27 xfailed in 294.89s (0:04:54) ====== Error: Process completed with exit code 1.
The text was updated successfully, but these errors were encountered:
scico/test/flax/test_examples_flax.py tests are also failing on jax 0.4.28 (nominally supported according to current requirements.txt) on GPU device.
scico/test/flax/test_examples_flax.py
requirements.txt
Sorry, something went wrong.
0dff98d
crstngc
Successfully merging a pull request may close this issue.
Jax release 0.4.29 appears to again have broken a component of
scico.jax
(full log)The text was updated successfully, but these errors were encountered: