You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
thanks for creating the symder package, I have read your publication with a lot of interest. However, I tried to reproduce your study and downloaded the git repository. Here, in your README, you state the code should work for JAX >=0.2.8. After a quite painful trial and error process, the code is only able to load all packages just with only exactly your described package versions, especially for jax, jaxlib, optax and is also not compatible anymore with any higher version of numpy than yours (1.19.2). Therefore, I would suggest, to include this in the repository README. Here, it is also important that the mentioned versions are only compatible with python up to 3.9.X and not above!
This would be on the compatibility issues that I had. Another problem that I run into right now, is when I want execute rossler_model.py. When I try to run it it says that a data set has been generated, however, when the get_model function is executed I am getting the following error:
Loading dataset from file: ./data/rossler.npz
Traceback (most recent call last):
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/spyder_kernels/py3compat.py:356 in compat_exec
exec(code, globals, locals)
File ~/symder_test/symder/rossler_model.py:238
model_apply, model_init, model_args = get_model(
File ~/symder_test/symder/rossler_model.py:49 in get_model
scale_vec = jnp.concatenate((scale[:, 0], jnp.ones(num_hidden)))
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/_src/numpy/lax_numpy.py:2897 in ones
return lax.full(shape, 1, dtype)
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/_src/lax/lax.py:1452 in full
return broadcast(fill_value, shape)
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/_src/lax/lax.py:688 in broadcast
return broadcast_in_dim(operand, tuple(sizes) + np.shape(operand), dims)
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/_src/lax/lax.py:701 in broadcast_in_dim
return broadcast_in_dim_p.bind(
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/core.py:271 in bind
out = top_trace.process_primitive(self, tracers, params)
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/core.py:595 in process_primitive
return primitive.impl(*tracers, **params)
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/jax/_src/lax/lax.py:3257 in _broadcast_in_dim_impl
if xla.type_is_device_array(operand) and np.all(
File <__array_function__ internals>:200 in all
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/numpy/core/fromnumeric.py:2515 in all
return _wrapreduction(a, np.logical_and, 'all', axis, None, out,
File ~/miniconda3/envs/symder/lib/python3.9/site-packages/numpy/core/fromnumeric.py:86 in _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
TypeError: an integer is required (got type _NoValueType)
I am not really sure why this error is generated, maybe you could help me out?
Thanks for your help in advance,
Best wishes,
Bartosz
The text was updated successfully, but these errors were encountered:
Dear Sirs,
thanks for creating the symder package, I have read your publication with a lot of interest. However, I tried to reproduce your study and downloaded the git repository. Here, in your README, you state the code should work for JAX >=0.2.8. After a quite painful trial and error process, the code is only able to load all packages just with only exactly your described package versions, especially for jax, jaxlib, optax and is also not compatible anymore with any higher version of numpy than yours (1.19.2). Therefore, I would suggest, to include this in the repository README. Here, it is also important that the mentioned versions are only compatible with python up to 3.9.X and not above!
This would be on the compatibility issues that I had. Another problem that I run into right now, is when I want execute rossler_model.py. When I try to run it it says that a data set has been generated, however, when the
get_model
function is executed I am getting the following error:I am not really sure why this error is generated, maybe you could help me out?
Thanks for your help in advance,
Best wishes,
Bartosz
The text was updated successfully, but these errors were encountered: