piiswrong commented on a change in pull request #7654: Making mixed precision 
work with all optimizers
URL: https://github.com/apache/incubator-mxnet/pull/7654#discussion_r140911366
 
 

 ##########
 File path: tests/python/unittest/test_optimizer.py
 ##########
 @@ -507,36 +520,33 @@ def test_rms():
     opt1 = PyRMSProp
     opt2 = mx.optimizer.RMSProp
     shape = (3, 4, 5)
-    kwargs = [{},
-              {'clip_gradient': 0.5},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14},
-              {'rescale_grad': 0.8},
-              {'clip_gradient': 0.5, 'wd': 0.07},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'wd': 0.03},
-              {'rescale_grad': 0.8, 'wd': 0.05},
-              {'centered': True},
-              {'clip_gradient': 0.5, 'centered': True},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'centered': True},
-              {'rescale_grad': 0.8, 'centered': True},
-              {'clip_gradient': 0.5, 'wd': 0.07, 'centered': True},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'wd': 0.03, 
'centered': True},
-              {'rescale_grad': 0.8, 'wd': 0.05, 'centered': True},
-              {'clip_gradient': 0.5, 'clip_weights': 0.01},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'clip_weights': 
0.01},
-              {'rescale_grad': 0.8, 'clip_weights': 0.01},
-              {'clip_gradient': 0.5, 'wd': 0.07, 'clip_weights': 0.01},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'wd': 0.03, 
'clip_weights': 0.01},
-              {'rescale_grad': 0.8, 'wd': 0.05, 'clip_weights': 0.01},
-              {'centered': True, 'clip_weights': 0.01},
-              {'clip_gradient': 0.5, 'centered': True, 'clip_weights': 0.01},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'centered': True, 
'clip_weights': 0.01},
-              {'rescale_grad': 0.8, 'centered': True, 'clip_weights': 0.01},
-              {'clip_gradient': 0.5, 'wd': 0.07, 'centered': True, 
'clip_weights': 0.01},
-              {'clip_gradient': 0.4, 'rescale_grad': 0.14, 'wd': 0.03, 
'centered': True, 'clip_weights': 0.01},
-              {'rescale_grad': 0.8, 'wd': 0.05, 'centered': True, 
'clip_weights': 0.01}]
-    for kwarg in kwargs:
-        compare_optimizer(opt1(**kwarg), opt2(**kwarg), shape, np.float32)
-        compare_optimizer(opt1(**kwarg), opt2(**kwarg), shape, np.float32, 
g_stype='row_sparse')
+    cg_options = [{}, {'clip_gradient': 0.4}, {'clip_gradient': 0.5}]
+    cw_options = [{}, {'clip_weights': 0.01}]
+    center_options = [{}, {'centered': False}, {'centered': True}]
+    rg_options = [{}, {'rescale_grad': 0.14}, {'rescale_grad': 0.8}]
+    wd_options = [{}, {'wd': 0.03}, {'wd': 0.05}, {'wd': 0.07}]
+    mp_options = [{}, {'multi_precision': False}, {'multi_precision': True}]
+    for dtype in [np.float16, np.float32]:
 
 Review comment:
   This is exploding exponentially...
 
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