Closed rodluger closed 5 years ago
The following code
import numpy as np import matplotlib.pyplot as plt import exoplanet as xo # Generate a starry light curve orbit = xo.orbits.KeplerianOrbit(period=1) t = np.linspace(-0.5, 0.5, 1000) u = [0.3, 0.2] starry_op = xo.StarryLightCurve(u) # Compute the light curve lc_int = starry_op.get_light_curve(orbit=orbit, r=0.1, t=t, texp=0.1 * np.ones_like(t)).eval()
throws a very long error starting with
ERROR (theano.gof.opt): Optimization failure due to: constant_folding ERROR (theano.gof.opt): node: Elemwise{add,no_inplace}(TensorConstant{[[-0.09159..09159159]]}, TensorConstant{[[-0.05 ..05 ]]}) ERROR (theano.gof.opt): TRACEBACK: ERROR (theano.gof.opt): Traceback (most recent call last): File "/anaconda3/lib/python3.7/site-packages/theano/gof/opt.py", line 2034, in process_node replacements = lopt.transform(node) File "/anaconda3/lib/python3.7/site-packages/theano/tensor/opt.py", line 6518, in constant_folding required = thunk() File "/anaconda3/lib/python3.7/site-packages/theano/gof/op.py", line 862, in rval thunk() File "/anaconda3/lib/python3.7/site-packages/theano/gof/cc.py", line 1739, in __call__ reraise(exc_type, exc_value, exc_trace) File "/anaconda3/lib/python3.7/site-packages/six.py", line 693, in reraise raise value ValueError: Input dimension mis-match. (input[0].shape[0] = 184, input[1].shape[0] = 1000)
The issue is on this line, which assumes that dt and t have the same shape. They don't because use_in_transit leads to t being cropped.
dt
t
use_in_transit
Brutal. This should be easy to fix. Thanks for reporting it!
The following code
throws a very long error starting with
The issue is on this line, which assumes that
dt
andt
have the same shape. They don't becauseuse_in_transit
leads tot
being cropped.