Fix profiler executer when memonger is used

example/profiler/README.md

@@ -5,7 +5,9 @@ Please refer to [this link](http://mxnet.incubator.apache.org/faq/perf.html?high
 for visualizing profiling results and make sure that you have installed a version of MXNet compiled
 with `USE_PROFILER=1`.
 
-- profiler_executor.py. To run this example, simply type `python profiler_executor.py` in terminal.
+- profiler_executor.py. To run this example,
+1. clone mxnet-memonger (git clone https://github.com/dmlc/mxnet-memonger.git). Add path to mxnet-memonger to PYTHONPATH
+2. type `python profiler_executor.py` in terminal.
 It will generate a json file named `profile_executor_5iter.json`.
 
 - profiler_imageiter.py. You first need to create a file named `test.rec`,
@@ -20,4 +22,4 @@ that you have installed a GPU enabled version of MXNet before running this examp
 `python profiler_matmul.py` and it will generate `profile_matmul_20iter.json`.
 
 - profiler_ndarray.py. This examples profiles a series of `NDArray` operations. Simply type
-`python profiler_ndarray.py` in terminal and it will generate `profile_ndarray.json`.
+`python profiler_ndarray.py` in terminal and it will generate `profile_ndarray.json`.

example/profiler/profiler_executor.py

@@ -21,6 +21,7 @@
 import time
 import numpy as np
 from mxnet import profiler
+import memonger
 
 
 def parse_args():
@@ -86,7 +87,8 @@ def get_symbol():
 
 def get_module(ctx, sym, provide_data, provide_label, batch_size=None, is_train=True, use_memonger=False):
     if use_memonger:
-        sym = search_plan(sym, data=data_shapes)
+        name, data_shapes = provide_data[0]
+        sym = memonger.search_plan(sym, data=data_shapes)
     mod = mx.mod.Module(symbol=sym,
                         data_names=[name for name, _ in provide_data],
                         label_names=[name for name, _ in provide_label],