Allow libaray path to be configurable (apache#50)

* Allow libaray path to be configurable

* Enable partial shape inference result to be passed via shape

* fix python3

* disallow copy assign in index

nnvm/include/nnvm/graph.h

@@ -171,6 +171,8 @@ class IndexedGraph {
   inline const std::vector<NodeEntry>& outputs() const {
     return outputs_;
   }
+  // disalllow copy assign
+  IndexedGraph(const IndexedGraph&) = delete;
 
  private:
   friend class Graph;

nnvm/python/nnvm/libinfo.py

@@ -1,9 +1,15 @@
 # coding: utf-8
 """Information about nnvm."""
 from __future__ import absolute_import
+import sys
 import os
 import platform
 
+if sys.version_info[0] == 3:
+    import builtins as __builtin__
+else:
+    import __builtin__
+
 def find_lib_path():
     """Find NNNet dynamic library files.
 
@@ -12,10 +18,19 @@ def find_lib_path():
     lib_path : list(string)
         List of all found path to the libraries
     """
-    curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
-    api_path = os.path.join(curr_path, '../../lib/')
-    cmake_build_path = os.path.join(curr_path, '../../build/Release/')
-    dll_path = [curr_path, api_path, cmake_build_path]
+    if hasattr(__builtin__, "NNVM_BASE_PATH"):
+        base_path = __builtin__.NNVM_BASE_PATH
+    else:
+        base_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
+
+    if hasattr(__builtin__, "NNVM_LIBRARY_NAME"):
+        lib_name = __builtin__.NNVM_LIBRARY_NAME
+    else:
+        lib_name = "libnnvm_example"
+
+    api_path = os.path.join(base_path, '../../lib/')
+    cmake_build_path = os.path.join(base_path, '../../build/Release/')
+    dll_path = [base_path, api_path, cmake_build_path]
     if os.name == 'nt':
         vs_configuration = 'Release'
         if platform.architecture()[0] == '64bit':
@@ -27,9 +42,9 @@ def find_lib_path():
     elif os.name == "posix" and os.environ.get('LD_LIBRARY_PATH', None):
         dll_path.extend([p.strip() for p in os.environ['LD_LIBRARY_PATH'].split(":")])
     if os.name == 'nt':
-        dll_path = [os.path.join(p, 'libnnvm_example.dll') for p in dll_path]
+        dll_path = [os.path.join(p, '%s.dll' % lib_name) for p in dll_path]
     else:
-        dll_path = [os.path.join(p, 'libnnvm_example.so') for p in dll_path]
+        dll_path = [os.path.join(p, '%s.so' % lib_name) for p in dll_path]
     lib_path = [p for p in dll_path if os.path.exists(p) and os.path.isfile(p)]
     if len(lib_path) == 0:
         raise RuntimeError('Cannot find the files.\n' +

nnvm/python/nnvm/symbol.py

@@ -57,7 +57,7 @@ def __rsub__(self, other):
     def __mul__(self, other):
         if isinstance(other, Symbol):
             return _internal.__mul_symbol__(self, other)
-        if isinstance(other, Number):
+        if isinstance(other, _Number):
             return _internal.__mul_scalar__(self, scalar=other)
         else:
             raise TypeError('type %s not supported' % str(type(other)))

nnvm/src/pass/infer_shape_type.cc

@@ -23,11 +23,16 @@ Graph InferAttr(Graph &&ret,
   using AttrVector = std::vector<AttrType>;
   const IndexedGraph& idx = ret.indexed_graph();
   static auto& finfer_shape =
-      Op::GetAttr<FInferNodeEntryAttr<AttrType>>(infer_name);
+      Op::GetAttr<FInferNodeEntryAttr<AttrType> >(infer_name);
   static auto& backward_map =
       Op::GetAttr<FBackwardOutToInIndex>("FBackwardOutToInIndex");
   // reshape shape vector
-  AttrVector rshape(idx.num_node_entries(), default_val);
+  AttrVector rshape;
+  if (ret.attrs.count(attr_name) != 0) {
+    rshape = ret.MoveCopyAttr<AttrVector>(attr_name);
+  } else {
+    rshape.resize(idx.num_node_entries(), default_val);
+  }
 
   if (ret.attrs.count(input_name) != 0) {
     const AttrVector& shape_args = ret.GetAttr<AttrVector>(input_name);
@@ -39,6 +44,7 @@ Graph InferAttr(Graph &&ret,
     // erase the provided arguments
     ret.attrs.erase(input_name);
   }
+
   std::string shape_attr_key;
   if (ret.attrs.count(attr_key_name) != 0) {
     shape_attr_key = ret.GetAttr<std::string>(attr_key_name);

nnvm/tests/python/test_graph.py

@@ -59,6 +59,22 @@ def test_infer_shape():
     assert g.json_attr('shape')[jnode_row_ptr[nindex["reshape1"]]] == [2, 4]
     assert g.json_attr('shape')[jnode_row_ptr[nindex["add1"]]] == [4, 2]
 
+def test_infer_shape_known_partial():
+    x = sym.Variable('x', shape=(4, 2))
+    y = sym.add(x, x, name='add1')
+    y = sym.reshape(y, target=(2, 4), name="reshape1")
+    g = graph.create(y)
+    jgraph = json.loads(g.apply('SaveJSON').json_attr('json'))
+    shape = [[4, 2], [] , []]
+    g._set_json_attr("shape", shape, 'list_shape')
+    g = g.apply("InferShape")
+    jnodes = jgraph['nodes']
+    jnode_row_ptr = jgraph['node_row_ptr']
+    nindex = {n['name']: i for i, n in enumerate(jnodes)}
+    assert g.json_attr('shape')[jnode_row_ptr[nindex["reshape1"]]] == [2, 4]
+    assert g.json_attr('shape')[jnode_row_ptr[nindex["add1"]]] == [4, 2]
+
+
 def test_infer_type():
     x = sym.Variable('x')
     y = sym.add(x, x, name='add1')
@@ -116,6 +132,7 @@ def test_plan_memory():
     test_graph_json_attr()
     test_json_pass()
     test_infer_shape()
+    test_infer_shape_known_partial()
     test_infer_type()
     test_place_device()
     test_plan_memory()