Add dirty prints to check seeds and numpy max on difference platforms

ClemDoum · ClemDoum · commit aeddd2960ec0 · 2019-03-12T18:29:37.000+01:00
diff --git a/sklearn/linear_model/base.py b/sklearn/linear_model/base.py
@@ -82,9 +82,11 @@ def make_dataset(X, y, sample_weight, random_state=None):
     print("Dataset seed %s" % seed)
 
     if X.dtype == np.float32:
+        print("float 32")
         CSRData = CSRDataset32
         ArrayData = ArrayDataset32
     else:
+        print("float 64")
         CSRData = CSRDataset64
         ArrayData = ArrayDataset64
 
diff --git a/sklearn/linear_model/sgd_fast.pyx b/sklearn/linear_model/sgd_fast.pyx
@@ -677,6 +677,9 @@ def _plain_sgd(np.ndarray[double, ndim=1, mode='c'] weights,
                     # do not learn on the validation set
                     continue
 
+                with gil:
+                    print("sample_index %s" % sample_index)
+
                 p = w.dot(x_data_ptr, x_ind_ptr, xnnz) + intercept
                 if learning_rate == OPTIMAL:
                     eta = 1.0 / (alpha * (optimal_init + t - 1))
