alex-simm
commented
2 years ago Input In [8], in <cell line: 12>()
2 opt = OptimalControl(
3 dir_path=log_dir,
4 fid_func=fidelities.unitary_infid_set,
(...)
9 run_name="X-gate optimisation"
10 )
11 opt.set_exp(exp)
---> 12 opt.optimize_controls()
14 print(opt.current_best_goal)
15 exp.pmap.print_parameters()
File ~/c3/c3/optimizers/optimalcontrol.py:147, in OptimalControl.optimize_controls(self, setup_log)
145 x_init = self.pmap.get_parameters_scaled()
146 try:
--> 147 self.algorithm(
148 x_init,
149 fun=self.fct_to_min,
150 fun_grad=self.fct_to_min_autograd,
151 grad_lookup=self.lookup_gradient,
152 options=self.options,
153 )
154 except KeyboardInterrupt:
155 pass
File ~/c3/c3/libraries/algorithms.py:418, in lbfgs(x_init, fun, fun_grad, grad_lookup, options)
393 """
394 Wrapper for the scipy.optimize.minimize implementation of LBFG-S. See also:
395
(...)
414 Scipy result object.
415 """
416 # TODO print from the log not from here
417 # options.update({"disp": True})
--> 418 return minimize(
419 fun_grad, x_init, jac=grad_lookup, method="L-BFGS-B", options=options
420 )
File ~/c3/venv/lib64/python3.8/site-packages/scipy/optimize/_minimize.py:681, in minimize(fun, x0, args, method, jac, hess, hessp, bounds, constraints, tol, callback, options)
678 res = _minimize_newtoncg(fun, x0, args, jac, hess, hessp, callback,
679 **options)
680 elif meth == 'l-bfgs-b':
--> 681 res = _minimize_lbfgsb(fun, x0, args, jac, bounds,
682 callback=callback, **options)
683 elif meth == 'tnc':
684 res = _minimize_tnc(fun, x0, args, jac, bounds, callback=callback,
685 **options)
File ~/c3/venv/lib64/python3.8/site-packages/scipy/optimize/_lbfgsb_py.py:300, in _minimize_lbfgsb(fun, x0, args, jac, bounds, disp, maxcor, ftol, gtol, eps, maxfun, maxiter, iprint, callback, maxls, finite_diff_rel_step, **unknown_options)
296 raise ValueError("LBFGSB - one of the lower bounds is greater than an upper bound.")
298 # initial vector must lie within the bounds. Otherwise ScalarFunction and
299 # approx_derivative will cause problems
--> 300 x0 = np.clip(x0, new_bounds[0], new_bounds[1])
302 if disp is not None:
303 if disp == 0:
File <__array_function__ internals>:180, in clip(*args, **kwargs)
File ~/c3/venv/lib64/python3.8/site-packages/numpy/core/fromnumeric.py:2152, in clip(a, a_min, a_max, out, **kwargs)
2083 @array_function_dispatch(_clip_dispatcher)
2084 def clip(a, a_min, a_max, out=None, **kwargs):
2085 """
2086 Clip (limit) the values in an array.
2087
(...)
2150
2151 """
-> 2152 return _wrapfunc(a, 'clip', a_min, a_max, out=out, **kwargs)
File ~/c3/venv/lib64/python3.8/site-packages/numpy/core/fromnumeric.py:57, in _wrapfunc(obj, method, *args, **kwds)
54 return _wrapit(obj, method, *args, **kwds)
56 try:
---> 57 return bound(*args, **kwds)
58 except TypeError:
59 # A TypeError occurs if the object does have such a method in its
60 # class, but its signature is not identical to that of NumPy's. This
(...)
64 # Call _wrapit from within the except clause to ensure a potential
65 # exception has a traceback chain.
66 return _wrapit(obj, method, *args, **kwds)
File ~/c3/venv/lib64/python3.8/site-packages/numpy/core/_methods.py:159, in _clip(a, min, max, out, casting, **kwargs)
156 return _clip_dep_invoke_with_casting(
157 um.maximum, a, min, out=out, casting=casting, **kwargs)
158 else:
--> 159 return _clip_dep_invoke_with_casting(
160 um.clip, a, min, max, out=out, casting=casting, **kwargs)
File ~/c3/venv/lib64/python3.8/site-packages/numpy/core/_methods.py:113, in _clip_dep_invoke_with_casting(ufunc, out, casting, *args, **kwargs)
111 # try to deal with broken casting rules
112 try:
--> 113 return ufunc(*args, out=out, **kwargs)
114 except _exceptions._UFuncOutputCastingError as e:
115 # Numpy 1.17.0, 2019-02-24
116 warnings.warn(
117 "Converting the output of clip from {!r} to {!r} is deprecated. "
118 "Pass `casting=\"unsafe\"` explicitly to silence this warning, or "
(...)
121 stacklevel=2
122 )
File ~/c3/venv/lib64/python3.8/site-packages/tensorflow/python/framework/ops.py:1134, in _EagerTensorBase.__bool__(self)
1133 def __bool__(self):
-> 1134 return bool(self._numpy())
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
codecov[bot]
lazyoracle
What
This adds an example file on how to use pwc pulses. For me this currently fails to run.
Why
Seems like pwc is still not working after #202
How
Remarks
Checklist
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- [x]prefixblackandflake8have been used to ensure styling guidelines are metnumpydocstyle