[GitHub] szha opened a new issue #8196: MKL Bug

[gi...@git.apache.org]

szha opened a new issue #8196: MKL Bug
URL: https://github.com/apache/incubator-mxnet/issues/8196
 
 
   @ykim362 
   
   ## Environment info
   Operating System: OSX, `pip install --pre mxnet-mkl`
   
   MXNet commit hash (`git rev-parse HEAD`): b6b8da0ac2b1ef8b84089458c757ce8b19aab0d7
   
   Python version and distribution: Python 2.7.13
   
   ## Minimum reproducible example
   ```python
   from __future__ import print_function
   import mxnet as mx
   import skimage.io as io
   import numpy as np
   
   def print_activation(net, url):
       I = io.imread(url)
       if I.shape[2] == 4:
           I = rgba2rgb(I)
       image = mx.nd.array(I).astype(np.uint8)
       image = mx.image.resize_short(image, 256)
       image, _ = mx.image.center_crop(image, (224, 224))
       image = mx.image.color_normalize(image.astype(np.float32)/255,
                                        mean=mx.nd.array([0.485, 0.456, 0.406]),
                                        std=mx.nd.array([0.229, 0.224, 0.225]))
       image = mx.nd.transpose(image.astype('float32'), (2,1,0))
       image = mx.nd.expand_dims(image, axis=0)
       out = net(image)
       return (out - out.max()).exp().sum().asscalar(), mx.nd.log_softmax(out), out
   act1, log_softmax_out1, out1 = print_activation(mx.gluon.model_zoo.vision.squeezenet1_1(pretrained=True), 'https://github.com/zackchase/mxnet-the-straight-dope/raw/master/img/real_hotdog.jpg')
   act2, log_softmax_out2, out2 = print_activation(mx.gluon.model_zoo.vision.squeezenet1_1(pretrained=True), 'https://github.com/zackchase/mxnet-the-straight-dope/raw/master/img/real_hotdog.jpg')
   print(act1, act2)
   print((out1-out2).max(), (out1-out2).min())
   ```
   
   Expected outputs should be 
   ```
   1.16364 1.16364
   
   [ 0. ]
   <NDArray 1 @cpu(0)>
   [ 0. ]
   <NDArray 1 @cpu(0)>
   ```
   
   Instead I got
   ```
   MKL Build:20170720
   3.0 nan
   
   [ 0.]
   <NDArray 1 @cpu(0)>
   [ 0.]
   <NDArray 1 @cpu(0)>
   ```
   And the first two values are different every time I run it.
   
   ## Steps to reproduce
   or if you are running standard examples, please provide the commands you have run that lead to the error.
   
   1. `pip install --pre mxnet-mkl`
   2. `pip install scikit-image`
   3. Save the above code snippet into file `bug.py`
   4. `python bug.py`
   
   ## What have you tried to solve it?
   
   1. Calling `mx.nd.log_softmax(out)` **before** the term `(out - out.max()).exp().sum().asscalar()` in `print_activation` function seems to make the results right.
 
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