From 1e41a675d4111a826ffac45cbd197054d193d72e Mon Sep 17 00:00:00 2001
From: Yu Yang <yuyang18@baidu.com>
Date: Mon, 9 Oct 2017 13:39:38 -0700
Subject: [PATCH] Convert np.dtype to core.DataType

---
 python/paddle/v2/framework/graph.py           | 25 +++++++++++++++++--
 .../v2/framework/tests/test_variable.py       | 22 ++++++++++++++++
 2 files changed, 45 insertions(+), 2 deletions(-)
 create mode 100644 python/paddle/v2/framework/tests/test_variable.py

diff --git a/python/paddle/v2/framework/graph.py b/python/paddle/v2/framework/graph.py
index 6f2a76a98..a7a3ca62c 100644
--- a/python/paddle/v2/framework/graph.py
+++ b/python/paddle/v2/framework/graph.py
@@ -1,5 +1,6 @@
 import paddle.v2.framework.core as core
 import collections
+import numpy as np
 
 __all__ = ['Block', 'Variable', 'Program', 'Operator']
 
@@ -17,11 +18,11 @@ class Variable(object):
             self.proto.set_shape(shape)
 
         if dtype is not None:
-            # TODO(yuyang18): Convert dtype from numpy.dtype
+            if not isinstance(dtype, core.DataType):
+                dtype = Variable._convert_np_dtype_to_dtype_(dtype)
             self.proto.set_data_type(dtype)
 
         if lod_level is not None:
-            # TODO(yuyang18): set_lod_level is not defined.
             self.proto.set_lod_level(lod_level)
 
         self.block.vars[name] = self
@@ -34,6 +35,26 @@ class Variable(object):
         uid = core.unique_integer()  # unique during whole process.
         return "_generated_var_%d" % uid
 
+    @staticmethod
+    def _convert_np_dtype_to_dtype_(np_dtype):
+        dtype = np.dtype(np_dtype)
+        if dtype == np.float32:
+            return core.DataType.FP32
+        elif dtype == np.float64:
+            return core.DataType.FP64
+        elif dtype == np.float16:
+            return core.DataType.FP16
+        elif dtype == np.int32:
+            return core.DataType.INT32
+        elif dtype == np.int16:
+            return core.DataType.INT16
+        elif dtype == np.int64:
+            return core.DataType.INT64
+        elif dtype == np.bool:
+            return core.DataType.BOOL
+        else:
+            raise ValueError("Not supported numpy dtype " + str(dtype))
+
 
 class Operator(object):
     def __init__(self,
diff --git a/python/paddle/v2/framework/tests/test_variable.py b/python/paddle/v2/framework/tests/test_variable.py
new file mode 100644
index 000000000..dd23eac0c
--- /dev/null
+++ b/python/paddle/v2/framework/tests/test_variable.py
@@ -0,0 +1,22 @@
+import unittest
+from paddle.v2.framework.graph import Variable
+import paddle.v2.framework.core as core
+import numpy as np
+
+
+class TestVariable(unittest.TestCase):
+    def test_np_dtype_convert(self):
+        DT = core.DataType
+        convert = Variable._convert_np_dtype_to_dtype_
+        self.assertEqual(DT.FP32, convert(np.float32))
+        self.assertEqual(DT.FP16, convert("float16"))
+        self.assertEqual(DT.FP64, convert("float64"))
+        self.assertEqual(DT.INT32, convert("int32"))
+        self.assertEqual(DT.INT16, convert("int16"))
+        self.assertEqual(DT.INT64, convert("int64"))
+        self.assertEqual(DT.BOOL, convert("bool"))
+        self.assertRaises(ValueError, lambda: convert("int8"))
+
+
+if __name__ == '__main__':
+    unittest.main()
-- 
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