None Traceback (most recent call last):

 "./yad2k.py", line 270, in <module>
_main(parser.parse_args())

 "./yad2k.py", line 254, in _main
model.save('{}'.format(output_path))

 "C:\Users\eshwa\Anaconda3\lib\site-packages\keras\engine\network.py", line 1090, in save
save_model(self, filepath, overwrite, include_optimizer)

 "C:\Users\eshwa\Anaconda3\lib\site-packages\keras\engine\saving.py", line 367, in save_model
raise ImportError('`save_model` requires h5py.') ImportError: `save_model` requires h5py.


Traceback (most recent call last):


 "gpytorch_issue.py", line 95, in <module>

left_tensor=B.inv_matmul(Kmn.evaluate()))


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/lazy/lazy_tensor.py", line 963, in inv_matmul

return func.apply(self.representation_tree(), False, right_tensor, *self.representation())


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/functions/_inv_matmul.py", line 51, in forward

solves = _solve(lazy_tsr, right_tensor)


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/functions/_inv_matmul.py", line 15, in _solve

return lazy_tsr.cholesky()._cholesky_solve(rhs)


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/lazy/lazy_tensor.py", line 750, in cholesky

chol = self._cholesky(upper=False)


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/utils/memoize.py", line 59, in g

return _add_to_cache(self, cache_name, method(self, *args, **kwargs), *args, kwargs_pkl=kwargs_pkl)


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/lazy/lazy_tensor.py", line 419, in _cholesky

cholesky = psd_safe_cholesky(evaluated_mat, jitter=settings.cholesky_jitter.value(), upper=upper).contiguous()


 "/home/valou/workspace/pythonProjects/.venvs-python37/venv-gym-fb/lib/python3.7/site-packages/gpytorch/utils/cholesky.py", line 51, in psd_safe_cholesky

f"Matrix not positive definite after repeatedly adding jitter up to {jitter_new:.1e}. "
gpytorch.utils.errors.NotPSDError: Matrix not positive definite after repeatedly adding jitter up to 1.0e-06. Original error on first attempt: cholesky_cpu: For batch 0: U(13,13) is zero, singular U.
