From 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:50:07 +0800
Subject: [PATCH] update
---
funasr/models/encoder/resnet34_encoder.py | 6 +++---
1 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/funasr/models/encoder/resnet34_encoder.py b/funasr/models/encoder/resnet34_encoder.py
index 683001b..df0f124 100644
--- a/funasr/models/encoder/resnet34_encoder.py
+++ b/funasr/models/encoder/resnet34_encoder.py
@@ -1,8 +1,8 @@
import torch
from torch.nn import functional as F
-from funasr.models.encoder.abs_encoder import AbsEncoder
from typing import Tuple, Optional
from funasr.models.pooling.statistic_pooling import statistic_pooling, windowed_statistic_pooling
+from funasr.models.encoder.abs_encoder import AbsEncoder
from collections import OrderedDict
import logging
import numpy as np
@@ -76,7 +76,7 @@
return xs_pad, ilens
-class ResNet34(AbsEncoder):
+class ResNet34(torch.nn.Module):
def __init__(
self,
input_size,
@@ -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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