From 4ace5a95b052d338947fc88809a440ccd55cf6b4 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 16 十一月 2023 16:39:52 +0800
Subject: [PATCH] funasr pages

---
 funasr/models/encoder/resnet34_encoder.py |   16 ++++++++++++++--
 1 files changed, 14 insertions(+), 2 deletions(-)

diff --git a/funasr/models/encoder/resnet34_encoder.py b/funasr/models/encoder/resnet34_encoder.py
index 683001b..8445feb 100644
--- a/funasr/models/encoder/resnet34_encoder.py
+++ b/funasr/models/encoder/resnet34_encoder.py
@@ -406,6 +406,12 @@
             tf2torch_tensor_name_prefix_torch="encoder",
             tf2torch_tensor_name_prefix_tf="seq2seq/speech_encoder"
     ):
+        """
+        Author: Speech Lab, Alibaba Group, China
+        SOND: Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
+        https://arxiv.org/abs/2211.10243
+        """
+
         super(ResNet34Diar, self).__init__(
             input_size,
             use_head_conv=use_head_conv,
@@ -633,6 +639,12 @@
             tf2torch_tensor_name_prefix_torch="encoder",
             tf2torch_tensor_name_prefix_tf="seq2seq/speech_encoder"
     ):
+        """
+        Author: Speech Lab, Alibaba Group, China
+        TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization
+        https://arxiv.org/abs/2303.05397
+        """
+
         super(ResNet34SpL2RegDiar, self).__init__(
             input_size,
             use_head_conv=use_head_conv,
@@ -831,11 +843,11 @@
                             name, data_tf.size(), name_tf, var_dict_tf[name_tf].shape
                         ))
                     else:
-                        var_dict_torch_update[name] = torch.Tensor(map_dict[name]).type(torch.int64).to("cpu")
+                        var_dict_torch_update[name] = torch.from_numpy(np.array(map_dict[name])).type(torch.int64).to("cpu")
                         logging.info("torch tensor: {}, manually assigning to: {}".format(
                             name, map_dict[name]
                         ))
                 else:
                     logging.warning("{} is missed from tf checkpoint".format(name))
 
-        return var_dict_torch_update
+        return var_dict_torch_update
\ No newline at end of file

--
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