From c367f1b819bb40e70e379f8f80b1d9fd67e47c79 Mon Sep 17 00:00:00 2001
From: zhuangzhong <zhuangzhong@corp.netease.com>
Date: 星期五, 07 六月 2024 16:15:16 +0800
Subject: [PATCH] add cif_wo_hidden_v1
---
funasr/models/paraformer/cif_predictor.py | 24 ++++++++++++++++++------
1 files changed, 18 insertions(+), 6 deletions(-)
diff --git a/funasr/models/paraformer/cif_predictor.py b/funasr/models/paraformer/cif_predictor.py
index a6bfe65..7490310 100644
--- a/funasr/models/paraformer/cif_predictor.py
+++ b/funasr/models/paraformer/cif_predictor.py
@@ -661,14 +661,13 @@
return torch.stack(list_ls, 0), fires
-def cif_v1(hidden, alphas, threshold):
+def cif_wo_hidden_v1(alphas, threshold, return_fire_idxs=False):
+ batch_size, len_time = alphas.size()
+ device = alphas.device
+ dtype = alphas.dtype
- device = hidden.device
- dtype = hidden.dtype
- batch_size, len_time, hidden_size = hidden.size()
threshold = torch.tensor([threshold], dtype=alphas.dtype).to(alphas.device)
- frames = torch.zeros(batch_size, len_time, hidden_size, dtype=dtype, device=device)
fires = torch.zeros(batch_size, len_time, dtype=dtype, device=device)
prefix_sum = torch.cumsum(alphas, dim=1)
@@ -682,7 +681,19 @@
fire_idxs = dislocation_diff > 0
fires[fire_idxs] = 1
fires = fires + prefix_sum - prefix_sum_floor
+ if return_fire_idxs:
+ return fires, fire_idxs
+ return fires
+
+def cif_v1(hidden, alphas, threshold):
+ fires, fire_idxs = cif_wo_hidden_v1(alphas, threshold, return_fire_idxs=True)
+
+ device = hidden.device
+ dtype = hidden.dtype
+ batch_size, len_time, hidden_size = hidden.size()
+ frames = torch.zeros(batch_size, len_time, hidden_size,
+ dtype=dtype, device=device)
prefix_sum_hidden = torch.cumsum(
alphas.unsqueeze(-1).tile((1, 1, hidden_size)) * hidden, dim=1
)
@@ -698,7 +709,8 @@
remains = fires - torch.floor(fires)
remain_frames = (
- remains[fire_idxs].unsqueeze(-1).tile((1, hidden_size)) * hidden[fire_idxs]
+ remains[fire_idxs].unsqueeze(-1).tile((1,
+ hidden_size)) * hidden[fire_idxs]
)
shift_remain_frames = torch.roll(remain_frames, 1, dims=0)
--
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