Normalize line ending and fix absolute paths. (#855)

README.md

@@ -19,7 +19,7 @@ Major features include:
 
 - **Model Search & Visualization**
 
-  - We provide a [model collection](https://github.com/Microsoft/MMdnn/blob/master/mmdnn/models/README.md) to help you find some popular models.
+  - We provide a [model collection](mmdnn/models/README.md) to help you find some popular models.
   - We provide a <a href="#visualization">model visualizer</a> to display the network architecture more intuitively.
 
 - **Model Deployment**

docs/tf2pytorch.md

@@ -37,7 +37,7 @@ TensorBoard 1.5.1 at http://kit-station:6006 (Press CTRL+C to quit)
 
 Then you can open URL above to find the output node of your model,
 
-![TensorBoard](https://github.com/Microsoft/MMdnn/blob/master/docs/tensorboard.png)
+![TensorBoard](tensorboard.png)
 
 like the squeeze node named *MMdnn_Output* we set up in our tensorflow model extractor. Detail information is in [TensorFlow README](https://github.com/Microsoft/MMdnn/blob/master/mmdnn/conversion/tensorflow/README.md)
 

mmdnn/conversion/examples/coreml/test_tfcoreml.py

@@ -9,8 +9,8 @@ import tensorflow as tf
 from tensorflow.core.framework import graph_pb2
 import tfcoreml as tf_converter
 
-TMP_MODEL_DIR = '/Users/kit/tmp/tfcoreml'
-TEST_IMAGE = '/Users/kit/github/MMdnn/mmdnn/conversion/examples/data/seagull.jpg'
+TMP_MODEL_DIR = 'tmp/tfcoreml'
+TEST_IMAGE = 'mmdnn/conversion/examples/data/seagull.jpg'
 
 def _download_file(url):
   """Download the file.

mmdnn/conversion/pytorch/README.md

@@ -30,7 +30,7 @@ $ mmdownload -f pytorch -h
 Support frameworks: ['alexnet', 'densenet121', 'densenet161', 'densenet169', 'densenet201', 'inception_v3', 'resnet101', 'resnet152', 'resnet18', 'resnet34', 'resnet50', 'vgg11', 'vgg11_bn', 'vgg13', 'vgg13_bn', 'vgg16', 'vgg16_bn', 'vgg19', 'vgg19_bn']
 
 $ mmdownload -f pytorch -n resnet101 -o ./
-Downloading: "https://download.pytorch.org/models/resnet101-5d3b4d8f.pth" to /home/ruzhang/.torch/models/resnet101-5d3b4d8f.pth
+Downloading: "https://download.pytorch.org/models/resnet101-5d3b4d8f.pth" to /my/home/.torch/models/resnet101-5d3b4d8f.pth
 ███████████████████| 102502400/102502400 [00:06<00:00, 15858546.50it/s]
 PyTorch pretrained model is saved as [./imagenet_resnet101.pth].