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When attempting to run gaussian-process-interpolation example, I get the following error. It appears that conditional_sample2 is defined in sde_with_mask.py not sde.py
Traceback (most recent call last):
File "/media/adam/shared_drive/PycharmProjects/neural_diffusion_processes-main/notebooks/gaussian-process-interpolation.py", line 336, in <module>
ys, ys_steered = steer(I), steer(R)
File "/media/adam/shared_drive/PycharmProjects/neural_diffusion_processes-main/notebooks/gaussian-process-interpolation.py", line 332, in steer
return jax.jit(
File "/media/adam/shared_drive/PycharmProjects/neural_diffusion_processes-main/notebooks/gaussian-process-interpolation.py", line 333, in <lambda>
jax.vmap(lambda key: conditional_sample(x_known - shift, y_known, x_test - shift, key=key))
File "/media/adam/shared_drive/PycharmProjects/neural_diffusion_processes-main/notebooks/gaussian-process-interpolation.py", line 309, in <lambda>
lambda x, y, x_eval, key: ndp.sde.conditional_sample2(
AttributeError: module 'neural_diffusion_processes.sde' has no attribute 'conditional_sample2'
If you do import this function correctly, it results in the following error
TypeError: conditional_sample2() missing 2 required keyword-only arguments: 'mask_context' and 'mask_test'
The text was updated successfully, but these errors were encountered:
When attempting to run gaussian-process-interpolation example, I get the following error. It appears that conditional_sample2 is defined in sde_with_mask.py not sde.py
If you do import this function correctly, it results in the following error
TypeError: conditional_sample2() missing 2 required keyword-only arguments: 'mask_context' and 'mask_test'
The text was updated successfully, but these errors were encountered: