Merge pull request #12521 from velconia/port_python3_syntax

Port python3 syntax

CMakeLists.txt

@@ -201,6 +201,14 @@ include(external/snappy)    # download snappy
 include(external/snappystream)
 include(external/threadpool)
 
+if(WITH_GPU)
+    include(cuda)
+    include(tensorrt)
+    include(external/anakin)
+else()
+  set(WITH_ANAKIN OFF CACHE STRING "Anakin is valid only when GPU is set." FORCE)
+endif()
+
 include(cudnn)              # set cudnn libraries, must before configure
 include(cupti)
 include(configure)          # add paddle env configuration
@@ -229,14 +237,6 @@ set(EXTERNAL_LIBS
     ${PYTHON_LIBRARIES}
 )
 
-if(WITH_GPU)
-    include(cuda)
-    include(tensorrt)
-    include(external/anakin)
-else()
-  set(WITH_ANAKIN OFF CACHE STRING "Anakin is valid only when GPU is set." FORCE)
-endif()
-
 if(WITH_AMD_GPU)
     find_package(HIP)
     include(hip)

cmake/cudnn.cmake

@@ -21,6 +21,7 @@ list(APPEND CUDNN_CHECK_LIBRARY_DIRS
     ${CUDNN_ROOT}/lib64
     ${CUDNN_ROOT}/lib
     ${CUDNN_ROOT}/lib/${TARGET_ARCH}-linux-gnu
+    ${CUDNN_ROOT}/local/cuda-${CUDA_VERSION}/targets/${TARGET_ARCH}-linux/lib/
     $ENV{CUDNN_ROOT}
     $ENV{CUDNN_ROOT}/lib64
     $ENV{CUDNN_ROOT}/lib

python/paddle/fluid/contrib/__init__.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import decoder
-from decoder import *
+from . import decoder
+from .decoder import *
 
 __all__ = decoder.__all__

python/paddle/fluid/contrib/decoder/__init__.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import beam_search_decoder
-from beam_search_decoder import *
+from . import beam_search_decoder
+from .beam_search_decoder import *
 
 __all__ = beam_search_decoder.__all__

python/paddle/fluid/contrib/decoder/beam_search_decoder.py

@@ -22,6 +22,7 @@ This API is still under active development and may change drastically.
 
 import contextlib
 import numpy as np
+import six
 
 from ... import layers
 from ...framework import Variable
@@ -191,7 +192,7 @@ class StateCell(object):
         self._helper = LayerHelper('state_cell', name=name)
         self._cur_states = {}
         self._state_names = []
-        for state_name, state in states.items():
+        for state_name, state in six.iteritems(states):
             if not isinstance(state, InitState):
                 raise ValueError('state must be an InitState object.')
             self._cur_states[state_name] = state
@@ -346,7 +347,7 @@ class StateCell(object):
         if self._in_decoder and not self._switched_decoder:
             self._switch_decoder()
 
-        for input_name, input_value in inputs.items():
+        for input_name, input_value in six.iteritems(inputs):
             if input_name not in self._inputs:
                 raise ValueError('Unknown input %s. '
                                  'Please make sure %s in input '
@@ -361,7 +362,7 @@ class StateCell(object):
         if self._in_decoder and not self._switched_decoder:
             self._switched_decoder()
 
-        for state_name, decoder_state in self._states_holder.items():
+        for state_name, decoder_state in six.iteritems(self._states_holder):
             if id(self._cur_decoder_obj) not in decoder_state:
                 raise ValueError('Unknown decoder object, please make sure '
                                  'switch_decoder been invoked.')
@@ -671,7 +672,7 @@ class BeamSearchDecoder(object):
             feed_dict = {}
             update_dict = {}
 
-            for init_var_name, init_var in self._input_var_dict.items():
+            for init_var_name, init_var in six.iteritems(self._input_var_dict):
                 if init_var_name not in self.state_cell._inputs:
                     raise ValueError('Variable ' + init_var_name +
                                      ' not found in StateCell!\n')
@@ -721,7 +722,8 @@ class BeamSearchDecoder(object):
                     self.state_cell.update_states()
                     self.update_array(prev_ids, selected_ids)
                     self.update_array(prev_scores, selected_scores)
-                    for update_name, var_to_update in update_dict.items():
+                    for update_name, var_to_update in six.iteritems(
+                            update_dict):
                         self.update_array(var_to_update, feed_dict[update_name])
 
     def read_array(self, init, is_ids=False, is_scores=False):