Merge pull request yl4579#13 from fumiama/mono

feat: drop cython monotonic_align

.gitignore

@@ -158,3 +158,5 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
+
+/models

bert/chinese-roberta-wwm-ext-large/.gitignore

@@ -0,0 +1 @@
+*.bin

monotonic_align/__init__.py

@@ -1,19 +1,15 @@
-import numpy as np
-import torch
-from .monotonic_align.core import maximum_path_c
-
-
-def maximum_path(neg_cent, mask):
-  """ Cython optimized version.
-  neg_cent: [b, t_t, t_s]
-  mask: [b, t_t, t_s]
-  """
-  device = neg_cent.device
-  dtype = neg_cent.dtype
-  neg_cent = neg_cent.data.cpu().numpy().astype(np.float32)
-  path = np.zeros(neg_cent.shape, dtype=np.int32)
-
-  t_t_max = mask.sum(1)[:, 0].data.cpu().numpy().astype(np.int32)
-  t_s_max = mask.sum(2)[:, 0].data.cpu().numpy().astype(np.int32)
-  maximum_path_c(path, neg_cent, t_t_max, t_s_max)
-  return torch.from_numpy(path).to(device=device, dtype=dtype)
+from numpy import zeros, int32, float32
+from torch import from_numpy
+
+from .core import maximum_path_jit
+
+def maximum_path(neg_cent, mask):
+  device = neg_cent.device
+  dtype = neg_cent.dtype
+  neg_cent = neg_cent.data.cpu().numpy().astype(float32)
+  path = zeros(neg_cent.shape, dtype=int32)
+
+  t_t_max = mask.sum(1)[:, 0].data.cpu().numpy().astype(int32)
+  t_s_max = mask.sum(2)[:, 0].data.cpu().numpy().astype(int32)
+  maximum_path_jit(path, neg_cent, t_t_max, t_s_max)
+  return from_numpy(path).to(device=device, dtype=dtype)