fix python3 support for hexagon, update docs for docker image

docs/installation/using_docker.rst

@@ -15,18 +15,18 @@ In most cases, the ``lite edition`` image can satisfy developer's basic needs.
 
 .. code:: sh
 
-    # Pull lite edition docker image
+    # You can pull lite edition docker image from docker repo (recommended)
     docker pull registry.cn-hangzhou.aliyuncs.com/xiaomimace/mace-dev-lite
-    # Build lite edition docker image
+    # Or build lite edition docker image by yourself
     docker build -t registry.cn-hangzhou.aliyuncs.com/xiaomimace/mace-dev-lite ./docker/mace-dev-lite
 
 - ``full edition`` docker image (which contains multiple NDK versions and other dev tools).
 
 .. code:: sh
 
-    # Pull full edition docker image
+    # You can pull full edition docker image from docker repo (recommended)
     docker pull registry.cn-hangzhou.aliyuncs.com/xiaomimace/mace-dev
-    # Build full edition docker image
+    # Or build full edition docker image by yourself
     docker build -t registry.cn-hangzhou.aliyuncs.com/xiaomimace/mace-dev ./docker/mace-dev
 
 .. note::

mace/python/tools/converter_tool/hexagon_converter.py

@@ -29,6 +29,8 @@ from mace.python.tools.converter_tool.base_converter import ReduceType
 from mace.python.tools.convert_util import mace_check
 from mace.python.tools import graph_util
 
+from six.moves import reduce
+
 
 HexagonSupportedOps = [
     'BatchToSpaceND_8',
@@ -126,9 +128,9 @@ class HexagonConverter(base_converter.ConverterInterface):
 
         self.add_input_output_node()
         if not self._option.check_nodes:
-            output_name = self._option.output_nodes.values()[0].name
+            output_name = list(self._option.output_nodes.values())[0].name
         else:
-            output_name = self._option.check_nodes.values()[0].name
+            output_name = list(self._option.check_nodes.values())[0].name
         output_name = normalize_name(output_name)
         self._model = graph_util.sort_mace_graph(self._model, output_name)
 
@@ -388,9 +390,9 @@ class HexagonConverter(base_converter.ConverterInterface):
 
         output_node = None
         if not self._option.check_nodes:
-            output_name = self._option.output_nodes.values()[0].name
+            output_name = list(self._option.output_nodes.values())[0].name
         else:
-            output_name = self._option.check_nodes.values()[0].name
+            output_name = list(self._option.check_nodes.values())[0].name
         output_name = normalize_name(output_name)
         for op in self._model.op:
             if op.name == output_name:

mace/python/tools/quantization/quantize_util.py

@@ -100,7 +100,7 @@ def cal_multiplier_and_shift(scale):
 
 
 def quantize_with_scale_and_zero(data, scale, zero):
-    output = np.round(zero + data / scale).astype(int)
+    output = np.round(zero + data / scale).astype(np.int32)
     quantized_data = QuantizedData()
     quantized_data.data = output
     quantized_data.scale = scale
@@ -114,7 +114,7 @@ def quantize(data, non_zero):
     in_max = np_data.max()
     scale, zero, out_min, out_max = adjust_range(in_min, in_max,
                                                  non_zero=non_zero)
-    output = np.clip((np.round(zero + data / scale).astype(int)), 0, 255)
+    output = np.clip((np.round(zero + data / scale).astype(np.int32)), 0, 255)
 
     quantized_data = QuantizedData()
     quantized_data.data = output
@@ -132,7 +132,7 @@ def quantize_bias_for_hexagon(data):
     in_max = max_val
     scale = (in_max - in_min) / 2**32
     zero = 0
-    output = np.clip((np.round(zero + data / scale).astype(long)),
+    output = np.clip((np.round(zero + data / scale).astype(np.int64)),
                      -2**31, 2**31 - 1)
 
     quantized_data = QuantizedData()