vdantu commented on issue #14563: Performance decrease with pypi's mxnet==1.4.0 
(Mac)
URL: 
https://github.com/apache/incubator-mxnet/issues/14563#issuecomment-507047547
 
 
   @fhieber : I see this issue persisted with 1.4.0 and 1.4.1. But, 1.5.0 (pre 
release) seems to have similar performance to 1.3.1 
   
   ## 1.5.0 (pre-release)
   ```
   [INFO:sockeye.training] Epoch[0] Batch [600] Speed: 1349.35 samples/sec 
13709.44 tokens/sec 84.33 updates/sec        perplexity=1.420409
   [INFO:sockeye.training] Epoch[1] Batch [650] Speed: 1306.41 samples/sec 
13534.45 tokens/sec 81.65 updates/sec        perplexity=1.390872
   [INFO:sockeye.training] Epoch[1] Batch [700] Speed: 1287.37 samples/sec 
12976.67 tokens/sec 80.46 updates/sec        perplexity=1.368012
   ```
    
   ## 1.3.1
   ```
   ...
   [INFO:sockeye.training] Epoch[1] Batch [1050]        Speed: 1396.45 
samples/sec 14355.49 tokens/sec 87.28 updates/sec        perplexity=1.031028
   [INFO:sockeye.training] Epoch[1] Batch [1100]        Speed: 1576.58 
samples/sec 16207.22 tokens/sec 98.54 updates/sec        perplexity=1.022231
   [INFO:sockeye.training] Epoch[1] Batch [1150]        Speed: 1556.92 
samples/sec 15880.62 tokens/sec 97.31 updates/sec        perplexity=1.026734
   [INFO:sockeye.training] Epoch[1] Batch [1200]        Speed: 1563.64 
samples/sec 15824.06 tokens/sec 97.73 updates/sec        perplexity=1.038476
   ...
   ```
   
   ## 1.4.1
   ```
   ...
   [INFO:sockeye.training] Epoch[0] Batch [300] Speed: 959.48 samples/sec 
9863.49 tokens/sec 59.97 updates/sec  perplexity=1.883570
   [INFO:sockeye.training] Epoch[0] Batch [350] Speed: 950.11 samples/sec 
9691.12 tokens/sec 59.38 updates/sec  perplexity=1.747596
   [INFO:sockeye.training] Epoch[0] Batch [400] Speed: 937.03 samples/sec 
9670.12 tokens/sec 58.56 updates/sec  perplexity=1.647115
   [INFO:sockeye.training] Epoch[0] Batch [450] Speed: 958.23 samples/sec 
9735.66 tokens/sec 59.89 updates/sec  perplexity=1.575914
   [INFO:sockeye.training] Epoch[0] Batch [500] Speed: 918.91 samples/sec 
9446.44 tokens/sec 57.43 updates/sec  perplexity=1.512286
   ...
   ```
   
   We can probably close this issue after the release of 1.5.0.  

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