fix typo and warning

docs/system/note_data_loading.md

@@ -49,7 +49,7 @@ Here's an example of Image binary recordIO:
 ![baserecordio](https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/io/ImageRecordIO.jpg)
 We first resize the image into 256 * 256, then compact it into JPEG format, after that we save the header which indicates the index and label for that image to construct the Data field of a record. Then pack several images together into a file.
 
-### Accuess Arbitrary Parts Of Data
+### Access Arbitrary Parts Of Data
 
 The desired behavior of data loading could be: the packed data can be logically sliced into arbitrary numbers of partitions, no matter how many physical packed data files there are.
 

example/image-classification/README.md

@@ -8,7 +8,7 @@ width=400/>
 
 ## How to use
 
-First build mxnet by following the [guide](http://mxnet.readthedocs.org/en/latest/build.html)
+First build mxnet by following the [guide](http://mxnet.readthedocs.io/en/latest/how_to/build.html)
 
 ### Train
 
@@ -109,9 +109,9 @@ There are two commonly used way to feed data into MXNet.
 
 The first is packing all example into one or several compact `recordio`
 files. See a step-by-step
-[tutorial](https://mxnet.readthedocs.org/en/latest/python/io.html#create-dataset-using-recordio)
+[tutorial](http://mxnet.readthedocs.io/en/latest/packages/python/io.html#create-dataset-using-recordio)
 and the
-[document](http://mxnet.readthedocs.org/en/latest/developer-guide/note_data_loading.html)
+[document](http://mxnet.readthedocs.io/en/latest/system/note_data_loading.html)
 describing how it works.
 
 *Note: A commonly mistake is forgetting shuffle the image list during packing. This will lead fail of training, eg. ```accuracy``` keeps 0.001 for several rounds.*

src/engine/threaded_engine.h

@@ -306,7 +306,7 @@ class ThreadedEngine : public Engine {
           LOG(FATAL) << e.what() << "\n" <<
             "An fatal error occurred in asynchronous engine operation. "
             "If you do not know what caused this error, "
-            "you can try set environment variable MXNET_ENGINE_TYPE"
+            "you can try set environment variable MXNET_ENGINE_TYPE "
             "to NaiveEngine and run with debugger (i.e. gdb). "
             "This will force all operations to be synchronous and "
             "backtrace will give you the series of calls that lead "

src/operator/softmax_output-inl.h

@@ -156,7 +156,7 @@ class SoftmaxOutputProp : public OperatorProperty {
                          Shape2(dshape[0], dshape.Size()/dshape[0]/dshape[1]));
     } else {
       TShape label_shape(dshape.ndim() - 1);
-      for (int i = 0; i + 1 < dshape.ndim(); ++i)
+      for (index_t i = 0; i + 1 < dshape.ndim(); ++i)
         label_shape[i] = dshape[i];
       SHAPE_ASSIGN_CHECK(*in_shape, softmaxout_enum::kLabel, label_shape);
     }

tools/make_list.py

@@ -27,7 +27,7 @@ def list_image(root, recursive, exts):
 def write_list(path_out, image_list):
     with open(path_out, 'w') as fout:
         for i in xrange(len(image_list)):
-            fout.write('%d \t %d \t %s\n'%(i, image_list[i][1], image_list[i][0]))
+            fout.write('%d\t%d\t%s\n'%(i, image_list[i][1], image_list[i][0]))
 
 
 def make_list(prefix_out, root, recursive, exts, num_chunks, train_ratio):
@@ -55,7 +55,7 @@ def main():
         required by im2rec')
     parser.add_argument('root', help='path to folder that contain images.')
     parser.add_argument('prefix', help='prefix of output list files.')
-    parser.add_argument('--exts', type=list, default=['.jpeg','.jpg'],
+    parser.add_argument('--exts', type=str, nargs='+', default=['.jpeg','.jpg'],
         help='list of acceptable image extensions.')
     parser.add_argument('--chunks', type=int, default=1, help='number of chunks.')
     parser.add_argument('--train_ratio', type=float, default=1.0,