bump version. relax gpu requirements

.travis.yml

@@ -16,18 +16,18 @@ matrix:
   include:
   - os: linux
     python: 2.7
-    env: TF_VERSION=1.0.0rc2 TF_TYPE=release
+    env: TF_VERSION=1.0.1 TF_TYPE=release
   - os: linux
     python: 3.5
-    env: TF_VERSION=1.0.0rc2 TF_TYPE=release
+    env: TF_VERSION=1.0.1 TF_TYPE=release
   - os: linux
     python: 2.7
-    env: TF_VERSION=1.0.0rc2 TF_TYPE=nightly
+    env: TF_VERSION=1.0.1 TF_TYPE=nightly
   - os: linux
     python: 3.5
-    env: TF_VERSION=1.0.0rc2 TF_TYPE=nightly
+    env: TF_VERSION=1.0.1 TF_TYPE=nightly
   allow_failures:
-  - env: TF_VERSION=1.0.0rc2 TF_TYPE=nightly
+  - env: TF_VERSION=1.0.1 TF_TYPE=nightly
 
 install:
 - pip install -U pip    # the pip version on travis is too old

tensorpack/libinfo.py

@@ -6,4 +6,4 @@ import cv2  # noqa
 import os
 os.environ['OPENCV_OPENCL_RUNTIME'] = ''
 
-__version__ = '0.1.6'
+__version__ = '0.1.7'

tensorpack/train/multigpu.py

@@ -96,8 +96,9 @@ class SyncMultiGPUTrainer(MultiGPUTrainer,
             config.predict_tower = predict_tower
 
         super(SyncMultiGPUTrainer, self).__init__(config)
-        assert len(config.tower) >= 1, "MultiGPUTrainer must be used with at least one GPU."
-        assert tf.test.is_gpu_available()
+        assert len(config.tower) >= 1, "MultiGPUTrainer must be used with at least one tower."
+        if len(config.tower) > 1:
+            assert tf.test.is_gpu_available()
         self.average_cost = average_cost
 
     @staticmethod
@@ -185,7 +186,9 @@ class AsyncMultiGPUTrainer(MultiGPUTrainer,
             config.predict_tower = predict_tower
 
         self._scale_gradient = scale_gradient
-        assert tf.test.is_gpu_available()
+
+        if len(config.tower) > 1:
+            assert tf.test.is_gpu_available()
 
     def _setup(self):
         super(AsyncMultiGPUTrainer, self)._setup()