Merge pull request #7381 from reyoung/feature/refine_get_places_op

Polish GetPlacesOp

Author: reyoung

paddle/operators/get_places_op.cc

@@ -39,32 +39,34 @@ class GetPlacesOp : public framework::OperatorBase {
       : OperatorBase(type, inputs, outputs, attrs) {}
   void Run(const framework::Scope &scope,
            const platform::Place &place) const override {
-    std::string device_type = Attr<std::string>("device_type");
+    bool is_gpu;
+    if (Attr<std::string>("device_type") == "AUTO") {
+      is_gpu = platform::is_gpu_place(place);
+    } else {
+      is_gpu = Attr<std::string>("device_type") == "CUDA";
+    }
     auto device_count = static_cast<size_t>(Attr<int>("device_count"));
     if (device_count == 0) {
-      if (device_type == "CUDA") {
-        device_count = CUDADevCount();
-      } else if (device_type == "CPU") {
-        device_count = std::thread::hardware_concurrency();
-      }
+      device_count =
+          is_gpu ? CUDADevCount() : std::thread::hardware_concurrency();
     }
     PADDLE_ENFORCE_NE(device_count, 0, "Cannot indicate %s device count",
-                      device_type);
+                      is_gpu ? "GPU" : "CPU");
 
     auto out_var_name = Output("Out");
     auto &places =
         *(detail::Ref(scope.FindVar(out_var_name),
                       "Output variable %s cannot be found", out_var_name)
               .GetMutable<platform::PlaceList>());
     places.reserve(device_count);
-    if (device_type == "CUDA") {
+    if (is_gpu) {
       PADDLE_ENFORCE_LE(device_count, CUDADevCount(),
                         "Only %d CUDA devices found, cannot set to %d",
                         CUDADevCount(), device_count);
       for (size_t i = 0; i < device_count; ++i) {
-        places.emplace_back(platform::CUDAPlace(i));
+        places.emplace_back(platform::CUDAPlace(static_cast<int>(i)));
       }
-    } else if (device_type == "CPU") {
+    } else {
       for (size_t i = 0; i < device_count; ++i) {
         places.emplace_back(platform::CPUPlace());
       }
@@ -77,10 +79,10 @@ class GetPlacesOpProtoMaker : public framework::OpProtoAndCheckerMaker {
   GetPlacesOpProtoMaker(OpProto *proto, OpAttrChecker *op_checker)
       : OpProtoAndCheckerMaker(proto, op_checker) {
     AddOutput("Out", "vector of Place");
-    AddAttr<int>("device_count", "device count").SetDefault(1);
-    AddAttr<std::string>("device_type",
-                         R"(device type must be in ["CPU", "CUDA"])")
-        .InEnum({"CPU", "CUDA"});
+    AddAttr<int>("device_count", "device count").SetDefault(0);
+    AddAttr<std::string>("device_type", "device type")
+        .InEnum({"CUDA", "CPU", "AUTO"})
+        .SetDefault("AUTO");
     AddComment(R"DOC(
 Returns a list of places based on flags. The list will be used for parallel
 execution.

python/paddle/v2/fluid/layers/device.py

@@ -4,19 +4,22 @@
 
 from ..layer_helper import LayerHelper
 from ..framework import unique_name
+from ..registry import autodoc
 
 __all__ = ['get_places']
 
 
-def get_places(device_count=0, device_type="CPU"):
+@autodoc
+def get_places(device_count=None, device_type=None):
     helper = LayerHelper('get_places', **locals())
     out_places = helper.create_variable(name=unique_name(helper.name + ".out"))
+    attrs = dict()
+    if device_count is not None:
+        attrs['device_count'] = int(device_count)
+    if device_type is not None:
+        attrs['device_type'] = str(device_type)
+
     helper.append_op(
-        type='get_places',
-        outputs={"Out": [out_places]},
-        attrs={
-            "device_type": device_type,
-            'device_count': device_count,
-        })
+        type='get_places', outputs={"Out": [out_places]}, attrs=attrs)
 
     return out_places