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bugfix for grad_dict

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This commit is contained in:
James Hensman 2014-03-14 10:29:14 +00:00
parent f50b121d4d
commit da4303f71b
4 changed files with 4 additions and 4 deletions
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2
GPy/core/model.py
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@ -302,7 +302,7 @@ class Model(Parameterized):
denominator = (2 * np.dot(dx, gradient)) denominator = (2 * np.dot(dx, gradient))
global_ratio = (f1 - f2) / np.where(denominator==0., 1e-32, denominator) global_ratio = (f1 - f2) / np.where(denominator==0., 1e-32, denominator)
return np.abs(1. - global_ratio) < tolerance) return np.abs(1. - global_ratio) < tolerance
else: else:
# check the gradient of each parameter individually, and do some pretty printing # check the gradient of each parameter individually, and do some pretty printing
try: try:

2
GPy/core/sparse_gp.py
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@ -60,7 +60,7 @@ class SparseGP(GP):
dL_dKmm = self.grad_dict.pop('dL_dKmm') dL_dKmm = self.grad_dict.pop('dL_dKmm')
self.kern.update_gradients_full(dL_dKmm, self.Z, None) self.kern.update_gradients_full(dL_dKmm, self.Z, None)
target = self.kern.gradient.copy() target = self.kern.gradient.copy()
self.kern.update_gradients_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=grad_dict['dL_dpsi0'], dL_dpsi1=grad_dict['dL_dpsi1'], dL_dpsi2=grad_dict['dL_dpsi2']) self.kern.update_gradients_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=self.grad_dict['dL_dpsi0'], dL_dpsi1=self.grad_dict['dL_dpsi1'], dL_dpsi2=self.grad_dict['dL_dpsi2'])
self.kern.gradient += target self.kern.gradient += target
#gradients wrt Z #gradients wrt Z

2
GPy/testing/kernel_tests.py
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@ -252,7 +252,7 @@ class KernelGradientTestsContinuous(unittest.TestCase):
k.randomize() k.randomize()
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose)) self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
#TODO: turn off grad checkingwrt X for indexed kernels liek coregionalize #TODO: turn off grad checkingwrt X for indexed kernels like coregionalize
# class KernelGradientTestsContinuous1D(unittest.TestCase): # class KernelGradientTestsContinuous1D(unittest.TestCase):
# def setUp(self): # def setUp(self):
# self.N, self.D = 100, 1 # self.N, self.D = 100, 1

2
GPy/util/caching.py
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@ -48,7 +48,7 @@ class Cacher(object):
if k in kw and kw[k] is not None: if k in kw and kw[k] is not None:
return self.operation(*args, **kw) return self.operation(*args, **kw)
# TODO: WARNING !!! Cache OFFSWITCH !!! WARNING # TODO: WARNING !!! Cache OFFSWITCH !!! WARNING
return self.operation(*args) #return self.operation(*args)
#if the result is cached, return the cached computation #if the result is cached, return the cached computation
state = [all(a is b for a, b in itertools.izip_longest(args, cached_i)) for cached_i in self.cached_inputs] state = [all(a is b for a, b in itertools.izip_longest(args, cached_i)) for cached_i in self.cached_inputs]