import mxnet as mx
import mxnet.ndarray as nd


for i in range(1000):
    noise = mx.random.normal(0,10,(i,i),ctx=mx.gpu())
import mxnet as mx
mx.random.normal(0,10,(3,3), ctx=mx.gpu()).asnumpy()
Update Bug for Normal Genrator
Update Bug for Normal Genrator

  import mxnet as mx
+ mx.random.normal(0,10,(3,3), ctx=mx.gpu()).asnumpy()
- import mxnet.ndarray as nd
- 
- 
- for i in range(1000):
-     noise = mx.random.normal(0,10,(i,i),ctx=mx.gpu())
Update Bug for Normal Genrator
## Code Before:
import mxnet as mx
import mxnet.ndarray as nd


for i in range(1000):
    noise = mx.random.normal(0,10,(i,i),ctx=mx.gpu())
## Instruction:
Update Bug for Normal Genrator
## Code After:
import mxnet as mx
mx.random.normal(0,10,(3,3), ctx=mx.gpu()).asnumpy()