fix sar training on windows
@@ -99,8 +99,8 @@ class SAREncoder(nn.Layer):
if valid_ratios is not None:
valid_hf = []
T = holistic_feat.shape[1]
- for i, valid_ratio in enumerate(valid_ratios):
- valid_step = min(T, math.ceil(T * valid_ratio)) - 1
+ for i in range(len(valid_ratios)):
+ valid_step = min(T, math.ceil(T * valid_ratios[i])) - 1
valid_hf.append(holistic_feat[i, valid_step, :])
valid_hf = paddle.stack(valid_hf, axis=0)
else:
@@ -252,8 +252,8 @@ class ParallelSARDecoder(BaseDecoder):
if valid_ratios is not None:
# cal mask of attention weight
- for i, valid_ratio in enumerate(valid_ratios):
- valid_width = min(w, math.ceil(w * valid_ratio))
+ for i in range(len(valid_ratios)):
+ valid_width = min(w, math.ceil(w * valid_ratios[i]))
if valid_width < w:
attn_weight[i, :, :, valid_width:, :] = float('-inf')
