very nice scalability curve up to 12 procs

parameters: wiki, BPE 250, BS 32, TARGET 8.3, the rest is commited

also it might be that more pipelines would work if there were
MANY more pipelines, but that remains to be seen until i buy
myself a Ryzen 3700x and destroy the world with it i guess i
should go to sleep now

bridge.pyx

@@ -79,6 +79,7 @@ cdef public int get_tokens(WordList* wl, const char *filename):
     try:
         words = next(g)
     except StopIteration:
+        eprint(f'Text {fnu} depleted, restarting...')
         tokenizers[fnu] = nn.token_generator(fnu)
         g = tokenizers[fnu]
         words = next(g)
@@ -118,7 +119,6 @@ cdef public void randidx(int* idx, size_t l, size_t how_much):
 cdef public object create_network():
     try:
         net = nn.create_cbow_network()
-        eprint(net)
         return net
     except Exception as e:
         eprint(e)
@@ -169,7 +169,7 @@ cdef public void update_weightlist(WeightList* wl, object net):
 cdef public void combo_weights(
     WeightList* wl_frank, WeightList* wls, size_t num_weights
 ):
-    """Not a one-liner anymore :/"""
+    """Not a one-liner anymore \_(".)_/"""
     alpha = 1. / num_weights
     frank = wrap_weight_list(wl_frank)
     for w in frank:
@@ -188,7 +188,7 @@ cdef tuple cbow_batch(float* batch, size_t bs):
 
 
 cdef list wrap_weight_list(WeightList* wl):
-    """Thinly wraps a WeightList struct into a NumPy array."""
+    """Thinly wraps a WeightList struct into a list of NumPy arrays."""
     weights = []
     for i in range(wl.n_weights):
         w_shape = <long[:wl.weights[i].dims]>wl.weights[i].shape
@@ -231,4 +231,4 @@ def ensure_contiguous(a):
 
 
 def eprint(*args, **kwargs):
-    return print(*args, flush=True, **kwargs)
+    return print(*args, flush=True, file=stderr, **kwargs)