[Windows] fix compilation issues on vs2015 (#1405)

* [Windows] fix compilation issues on vs2015

* fix test

conda/dgl/bld.bat

@@ -3,9 +3,7 @@ git submodule init
 git submodule update --recursive
 md build
 cd build
-cmake -DUSE_CUDA=%USE_CUDA% -DUSE_OPENMP=ON -DCUDA_ARCH_NAME=All -DCMAKE_CXX_FLAGS="/DDGL_EXPORTS" -DCMAKE_CONFIGURATION_TYPES="Release" -DDMLC_FORCE_SHARED_CRT=ON .. -G "Visual Studio 15 2017 Win64" || EXIT /B 1
-msbuild dgl.sln || EXIT /B 1
-COPY Release\dgl.dll .
+COPY %TEMP%\dgl.dll .
 cd ..\python
 "%PYTHON%" setup.py install --single-version-externally-managed --record=record.txt || EXIT /B 1
 EXIT /B

python/dgl/sampling/neighbor.py

@@ -69,6 +69,7 @@ def sample_neighbors(g, nodes, fanout, edge_dir='in', prob=None, replace=False):
         fanout_array = [None] * len(g.etypes)
         for etype, value in fanout.items():
             fanout_array[g.get_etype_id(etype)] = value
+    fanout_array = utils.toindex(fanout_array).todgltensor()
 
     if prob is None:
         prob_arrays = [nd.array([], ctx=nd.cpu())] * len(g.etypes)
@@ -100,7 +101,7 @@ def select_topk(g, k, weight, nodes=None, edge_dir='in', ascending=False):
     ----------
     g : DGLHeteroGraph
         Full graph structure.
-    k : int
+    k : int or dict[etype, int]
         The K value.
     weight : str
         Feature name of the weights associated with each edge. Its shape should be
@@ -138,11 +139,16 @@ def select_topk(g, k, weight, nodes=None, edge_dir='in', ascending=False):
         else:
             nodes_all_types.append(nd.array([], ctx=nd.cpu()))
 
-    if not isinstance(k, list):
-        k = [int(k)] * len(g.etypes)
+    if not isinstance(k, dict):
+        k_array = [int(k)] * len(g.etypes)
+    else:
         if len(k) != len(g.etypes):
             raise DGLError('K value must be specified for each edge type '
-                       'if a list is provided.')
+                           'if a dict is provided.')
+        k_array = [None] * len(g.etypes)
+        for etype, value in k.items():
+            k_array[g.get_etype_id(etype)] = value
+    k_array = utils.toindex(k_array).todgltensor()
 
     weight_arrays = []
     for etype in g.canonical_etypes:
@@ -153,7 +159,7 @@ def select_topk(g, k, weight, nodes=None, edge_dir='in', ascending=False):
                 weight, etype))
 
     subgidx = _CAPI_DGLSampleNeighborsTopk(
-        g._graph, nodes_all_types, k, edge_dir, weight_arrays, bool(ascending))
+        g._graph, nodes_all_types, k_array, edge_dir, weight_arrays, bool(ascending))
     induced_edges = subgidx.induced_edges
     ret = DGLHeteroGraph(subgidx.graph, g.ntypes, g.etypes)
     for i, etype in enumerate(ret.canonical_etypes):

src/graph/metis_partition.cc

@@ -4,17 +4,18 @@
  * \brief Call Metis partitioning
  */
 
-#include <metis.h>
-#include <dgl/graph_op.h>
 #include <dgl/packed_func_ext.h>
 #include "../c_api_common.h"
 
+#if !defined(_WIN32)
+
+#include <metis.h>
+#include <dgl/graph_op.h>
+
 using namespace dgl::runtime;
 
 namespace dgl {
 
-#if !defined(_WIN32)
-
 IdArray GraphOp::MetisPartition(GraphPtr g, int k) {
   // The index type of Metis needs to be compatible with DGL index type.
   CHECK_EQ(sizeof(idx_t), sizeof(dgl_id_t));
@@ -71,7 +72,13 @@ DGL_REGISTER_GLOBAL("transform._CAPI_DGLMetisPartition")
     *rv = GraphOp::MetisPartition(g.sptr(), k);
   });
 
-#else
+}   // namespace dgl
+
+#else   // defined(_WIN32)
+
+using namespace dgl::runtime;
+
+namespace dgl {
 
 DGL_REGISTER_GLOBAL("transform._CAPI_DGLMetisPartition")
 .set_body([] (DGLArgs args, DGLRetValue* rv) {
@@ -81,6 +88,6 @@ DGL_REGISTER_GLOBAL("transform._CAPI_DGLMetisPartition")
     *rv = aten::NullArray();
   });
 
-#endif  // !defined(_WIN32)
 
 }  // namespace dgl
+#endif  // !defined(_WIN32)

src/graph/sampling/neighbor/neighbor.cc

@@ -172,7 +172,8 @@ DGL_REGISTER_GLOBAL("sampling.neighbor._CAPI_DGLSampleNeighbors")
 .set_body([] (DGLArgs args, DGLRetValue *rv) {
     HeteroGraphRef hg = args[0];
     const auto& nodes = ListValueToVector<IdArray>(args[1]);
-    const auto& fanouts = ListValueToVector<int64_t>(args[2]);
+    IdArray fanouts_array = args[2];
+    const auto& fanouts = fanouts_array.ToVector<int64_t>();
     const std::string dir_str = args[3];
     const auto& prob = ListValueToVector<FloatArray>(args[4]);
     const bool replace = args[5];
@@ -192,7 +193,8 @@ DGL_REGISTER_GLOBAL("sampling.neighbor._CAPI_DGLSampleNeighborsTopk")
 .set_body([] (DGLArgs args, DGLRetValue *rv) {
     HeteroGraphRef hg = args[0];
     const auto& nodes = ListValueToVector<IdArray>(args[1]);
-    const auto& k = ListValueToVector<int64_t>(args[2]);
+    IdArray k_array = args[2];
+    const auto& k = k_array.ToVector<int64_t>();
     const std::string dir_str = args[3];
     const auto& weight = ListValueToVector<FloatArray>(args[4]);
     const bool ascending = args[5];

tests/compute/test_sampling.py

@@ -386,7 +386,8 @@ def _test_sample_neighbors_topk(hypersparse):
     _test3()
 
     # test different k for different relations
-    subg = dgl.sampling.select_topk(hg, [1, 2, 0, 2], 'weight', {'user' : [0,1], 'game' : 0})
+    subg = dgl.sampling.select_topk(
+        hg, {'follow': 1, 'play': 2, 'liked-by': 0, 'flips': 2}, 'weight', {'user' : [0,1], 'game' : 0})
     assert len(subg.ntypes) == 3
     assert len(subg.etypes) == 4
     assert subg['follow'].number_of_edges() == 2