Fix conflicting glove.6B.100d.trimmed.txt when run write.py

utils/write.py

@@ -8,6 +8,8 @@
 
 import numpy as np
 
+import os.path
+
 
 _MAX_BATCH_SIZE = 128
 _MAX_DOC_LENGTH = 200
@@ -36,28 +38,29 @@ def _add_word(word):
 
 embeddings_path = './data/glove/glove.6B.100d.trimmed.txt'
 
-with open(embeddings_path) as f:
-    line = f.readline()
-    chunks = line.split(" ")
-    dimensions = len(chunks) - 1
-    f.seek(0)
-
-    vocab_size = sum(1 for line in f)
-    vocab_size += 4 #3 
-    f.seek(0)
-
-    glove = np.ndarray((vocab_size, dimensions), dtype=np.float32)
-    glove[PADDING_TOKEN] = np.random.normal(0, 0.02, dimensions)
-    glove[UNKNOWN_TOKEN] = np.random.normal(0, 0.02, dimensions)
-    glove[START_TOKEN] = np.random.normal(0, 0.02, dimensions)
-    glove[END_TOKEN] = np.random.normal(0, 0.02, dimensions)
-
-    for line in f:
+if os.path.exists(embeddings_path):
+    with open(embeddings_path) as f:
+        line = f.readline()
         chunks = line.split(" ")
-        idx = _add_word(chunks[0])
-        glove[idx] = [float(chunk) for chunk in chunks[1:]]
-        if len(_idx_to_word) >= vocab_size:
-            break
+        dimensions = len(chunks) - 1
+        f.seek(0)
+
+        vocab_size = sum(1 for line in f)
+        vocab_size += 4 #3
+        f.seek(0)
+
+        glove = np.ndarray((vocab_size, dimensions), dtype=np.float32)
+        glove[PADDING_TOKEN] = np.random.normal(0, 0.02, dimensions)
+        glove[UNKNOWN_TOKEN] = np.random.normal(0, 0.02, dimensions)
+        glove[START_TOKEN] = np.random.normal(0, 0.02, dimensions)
+        glove[END_TOKEN] = np.random.normal(0, 0.02, dimensions)
+
+        for line in f:
+            chunks = line.split(" ")
+            idx = _add_word(chunks[0])
+            glove[idx] = [float(chunk) for chunk in chunks[1:]]
+            if len(_idx_to_word) >= vocab_size:
+                break