From fc08b62d05723cdc1ce021bb8ba044ca014fb1f7 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 13 三月 2023 18:38:41 +0800
Subject: [PATCH] readme
---
funasr/models/encoder/resnet34_encoder.py | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/funasr/models/encoder/resnet34_encoder.py b/funasr/models/encoder/resnet34_encoder.py
index 91c5dc0..7d7179a 100644
--- a/funasr/models/encoder/resnet34_encoder.py
+++ b/funasr/models/encoder/resnet34_encoder.py
@@ -740,7 +740,7 @@
"{}.resnet{}_dense.weight".format(tensor_name_prefix_torch, layer_idx):
{"name": "{}/resnet{}_dense/kernel".format(tensor_name_prefix_tf, layer_idx),
"squeeze": None,
- "transpose": (3, 2, 0, 1) if layer_idx == 0 else (1, 0),
+ "transpose": (2, 1, 0) if layer_idx == 0 else (1, 0),
},
"{}.resnet{}_dense.bias".format(tensor_name_prefix_torch, layer_idx):
{"name": "{}/resnet{}_dense/bias".format(tensor_name_prefix_tf, layer_idx),
@@ -831,7 +831,7 @@
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]
))
--
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