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final touches to gradchecker
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1 changed files with 5 additions and 5 deletions
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@ -447,14 +447,14 @@ class Model(Parameterized):
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for i, ind in enumerate(param_list):
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xx = x.copy()
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xx[i] += step
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xx[ind] += step
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f1, g1 = self.objective_and_gradients(xx)
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xx[i] -= 2.*step
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xx[ind] -= 2.*step
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f2, g2 = self.objective_and_gradients(xx)
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numerical_gradient = (f1 - f2) / (2 * step)
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ratio = (f1 - f2) / (2 * step * gradient[i])
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difference = np.abs((f1 - f2) / 2 / step - gradient[i])
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ratio = (f1 - f2) / (2 * step * gradient[ind])
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difference = np.abs((f1 - f2) / 2 / step - gradient[ind])
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if (np.abs(1. - ratio) < tolerance) or np.abs(difference) < tolerance:
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formatted_name = "\033[92m {0} \033[0m".format(names[ind])
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@ -462,7 +462,7 @@ class Model(Parameterized):
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formatted_name = "\033[91m {0} \033[0m".format(names[ind])
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r = '%.6f' % float(ratio)
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d = '%.6f' % float(difference)
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g = '%.6f' % gradient[i]
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g = '%.6f' % gradient[ind]
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ng = '%.6f' % float(numerical_gradient)
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grad_string = "{0:<{c0}}|{1:^{c1}}|{2:^{c2}}|{3:^{c3}}|{4:^{c4}}".format(formatted_name, r, d, g, ng, c0=cols[0] + 9, c1=cols[1], c2=cols[2], c3=cols[3], c4=cols[4])
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print grad_string
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