* Address windows compilation error * Do not allow divide by zero in weight calculation * Update tests
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@ -101,7 +101,8 @@ class SoftmaxMultiClassObj : public ObjFunction {
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for (int k = 0; k < nclass; ++k) {
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// Computation duplicated to avoid creating a cache.
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bst_float p = expf(point[k] - wmax) / static_cast<float>(wsum);
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const bst_float h = fmax(2.0f * p * (1.0f - p) * wt, kRtEps);
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const float eps = 1e-16f;
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const bst_float h = fmax(2.0f * p * (1.0f - p) * wt, eps);
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p = label == k ? p - 1.0f : p;
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gpair[idx * nclass + k] = GradientPair(p * wt, h);
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}
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@ -292,7 +292,7 @@ XGBOOST_DEVICE inline T CalcGain(const TrainingParams &p, T sum_grad, T sum_hess
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template <typename TrainingParams, typename T>
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XGBOOST_DEVICE inline T CalcWeight(const TrainingParams &p, T sum_grad,
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T sum_hess) {
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if (sum_hess < p.min_child_weight) {
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if (sum_hess < p.min_child_weight || sum_hess <= 0.0) {
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return 0.0;
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}
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T dw;
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@ -28,8 +28,8 @@ class TestGPU(unittest.TestCase):
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assert_gpu_results(cpu_results, gpu_results)
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def test_gpu_hist(self):
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variable_param = {'n_gpus': [-1], 'max_depth': [2, 10], 'max_leaves': [255, 4],
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'max_bin': [2, 256],
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variable_param = {'n_gpus': [-1], 'max_depth': [2, 8], 'max_leaves': [255, 4],
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'max_bin': [2, 256], 'min_child_weight': [0, 1], 'lambda': [0.0, 1.0],
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'grow_policy': ['lossguide']}
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for param in parameter_combinations(variable_param):
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param['tree_method'] = 'gpu_hist'
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