fix some tiny bugs

N/A
Signed-off-by: NLuxuhui <luxuhui@xiaomi.com>

docs/installation/env_requirement.rst

@@ -53,12 +53,13 @@ Optional dependencies
       - Remark
     * - Android NDK
       - `NDK installation guide <https://developer.android.com/ndk/guides/setup#install>`__
-      - Required by Android build, r15b, r15c, r16b, r17b
+      - Required by Android build, r15b or higher version for bazel users, r17b or higher version for cmake users.
     * - Bazel
       - `bazel installation guide <https://docs.bazel.build/versions/master/install.html>`__
       - 0.13.0
     * - ADB
-      - Linux:``apt-get install android-tools-adb`` Mac:``brew cask install android-platform-tools``
+      - | Linux:``apt-get install android-tools-adb``
+        | Mac:``brew cask install android-platform-tools``
       - Required by Android run, >= 1.0.32
     * - TensorFlow
       - pip install tensorflow==1.8.0
@@ -89,3 +90,4 @@ For python dependencies,
     - It will link ``libc++`` instead of ``gnustl`` if ``NDK version >= r17b`` and ``bazel version >= 0.13.0``, please refer to `NDK cpp-support <https://developer.android.com/ndk/guides/cpp-support>`__.
     - For Mac, please install Homebrew at first before installing other dependencies. Set ANDROID_NDK_HOME in ``/etc/bashrc`` and then run ``source /etc/bashrc``.  This installation was tested with macOS Mojave(10.14).
 
+rs.
\ No newline at end of file

docs/user_guide/basic_usage_cmake.rst

@@ -10,7 +10,7 @@ Before you do anything, clear the workspace used by build and test process.
 
     .. code-block:: sh
 
-        tools/clear_workspace.sh
+        tools/clear_workspace.sh [--expunge]
 
 
 Build Engine

tools/clear_workspace.sh

@@ -5,7 +5,7 @@ rm -rf mace/codegen/engine
 rm -rf mace/codegen/opencl
 
 for d in build/*; do
-    if [[ "$d" != "build/cmake-build" ]]; then
+    if [[ "$1" == "--expunge" || "$d" != "build/cmake-build" ]]; then
 	echo "remove $d"
         rm -rf "$d"
     fi

tools/image/image_to_tensor.py

@@ -58,7 +58,7 @@ def images_to_tensors(input_files, image_shape, mean_values=None):
                                               align_corners=False)
 
         with tf.Session() as sess:
-            for i in xrange(len(input_files)):
+            for i in range(len(input_files)):
                 with tf.gfile.FastGFile(input_files[i], 'rb') as f:
                     src_image = f.read()
                     dst_image = sess.run(image_data,

tools/image/tensor_to_image.py

@@ -51,7 +51,7 @@ def tensors_to_images(input_files, image_shape, add_softmax):
         writer = tf.write_file(output, image_data, name='output_writer')
 
         with tf.Session() as sess:
-            for i in xrange(len(input_files)):
+            for i in range(len(input_files)):
                 input_data = np.fromfile(input_files[i], dtype=np.float32) \
                     .reshape(image_shape)
                 output_file = os.path.join(FLAGS.output_dir, os.path.splitext(

tools/python/encrypt.py

@@ -35,8 +35,8 @@ GENERATED_NAME = set()
 
 def generate_obfuscated_name(namespace, name):
     md5 = hashlib.md5()
-    md5.update(namespace)
-    md5.update(name)
+    md5.update(namespace.encode('utf-8'))
+    md5.update(name.encode('utf-8'))
     md5_digest = md5.hexdigest()
 
     name = md5_digest[:8]

tools/python/quantize/quantize_stat.py

@@ -67,7 +67,7 @@ class QuantizeStat(object):
                 cur_max_idx = 0
                 cur_min = tensor_min
                 cur_max = tensor_max
-                for i in xrange(samples):
+                for i in range(samples):
                     if tensor_mins[i] + 0.1 > cur_max:
                         break