update

docs/tutorial/inference.md

@@ -24,7 +24,7 @@ You can use this predicate to choose a different code path in inference mode.
 
 ## Inference After Training: What Tensorpack Does
 
-Tensorpack provides some small tools to do the most basic types of inference for demo purposes.
+Tensorpack only provides some small tools to do the most basic types of inference for demo purposes.
 You can use them but
 __these approaches are often suboptimal and may fail__.
 They may often be inefficient or lack functionalities you need.

examples/FasterRCNN/README.md

@@ -125,6 +125,6 @@ Performance in [Detectron](https://github.com/facebookresearch/Detectron/) can b
  Note that our training strategy is slightly different: we enable cascade throughout the entire training.
  As far as I know, this model is the __best open source TF model__ on COCO dataset.
 
-## Other Datasets / Implementation Details / Speed:
+## Use Custom Datasets / Implementation Details / Speed:
 
 See [BALLOON.md](BALLOON.md) and [NOTES.md](NOTES.md) for more details.

tensorpack/dataflow/serialize_test.py

 #! /usr/bin/env python
 # -*- coding: utf-8 -*-
 
+import tempfile
 import numpy as np
 import os
 import unittest
@@ -60,26 +61,38 @@ class SerializerTest(unittest.TestCase):
             print(error_msg)
 
     def test_lmdb(self):
-        self.run_write_read_test('test.lmdb', LMDBSerializer,
+        with tempfile.TemporaryDirectory() as f:
+            self.run_write_read_test(
+                os.path.join(f, 'test.lmdb'),
+                LMDBSerializer,
                 {}, {},
                 {}, {'shuffle': False},
                 'Skip test_lmdb, no lmdb available')
 
     def test_tfrecord(self):
-        self.run_write_read_test('test.tfrecord', TFRecordSerializer,
+        with tempfile.TemporaryDirectory() as f:
+            self.run_write_read_test(
+                os.path.join(f, 'test.tfrecord'),
+                TFRecordSerializer,
                 {}, {},
                 {}, {'size': 32},
                 'Skip test_tfrecord, no tensorflow available')
 
     def test_numpy(self):
-        self.run_write_read_test('test.npz', NumpySerializer,
+        with tempfile.TemporaryDirectory() as f:
+            self.run_write_read_test(
+                os.path.join(f, 'test.npz'),
+                NumpySerializer,
                 {}, {},
                 {}, {'shuffle': False},
                 'Skip test_numpy, no numpy available')
 
     def test_hdf5(self):
         args = [['label', 'image']]
-        self.run_write_read_test('test.h5', HDF5Serializer,
+        with tempfile.TemporaryDirectory() as f:
+            self.run_write_read_test(
+                os.path.join(f, 'test.h5'),
+                HDF5Serializer,
                 args, {},
                 args, {'shuffle': False},
                 'Skip test_hdf5, no h5py available')