fix EMD readme

emd/README.md

@@ -15,10 +15,10 @@ See `emd_module.py/test_emd()` for examples.
 ### Input
 
 - **xyz1, xyz2**: float tensors with shape `[#batch, #points, 3]`. xyz1 is the predicted point cloud and xyz2 is the ground truth point cloud. Two point clouds should have same size and be normalized to [0, 1]. The number of points should be a multiple of 1024. The batch size should be no greater than 512. Since we only calculate gradients for xyz1, please do not swap xyz1 and xyz2.
-- **eps**: a float tensor. The parameter balances the error rate and the speed of convergence.
-- **iters**: a int tensor. The number of iterations.
+- **eps**: a float tensor, the parameter balances the error rate and the speed of convergence.
+- **iters**: a int tensor, the number of iterations.
 
 ### Output
 
-- **dist**: a float tensor with shape `[#batch, #points]`. sqrt(dist) are the L2 distance between the pairs of points.
+- **dist**: a float tensor with shape `[#batch, #points]`. sqrt(dist) are the L2 distances between the pairs of points.
 - **assignment**: a int tensor with shape `[#batch, #points]`. The index of the matched point in the ground truth point cloud.